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Created at: 2019-10-01 20:29

AOP ID and Title:


AOP 296: Oxidative DNA damage leading to chromosomal aberrations and mutations
Short Title: Oxidative DNA damage, chromosomal aberrations and mutations

Graphical Representation


Authors


Eunnara Cho1,2, Ashley Allemang3, Marc Audebert4, Vinita Chauhan5, Stephen Dertinger6, Giel Hendriks7, Mirjam Luijten8, Francesco Marchetti1,2, Sheroy Minocherhomji9, Stefan Pfuhler3, Daniel J. Roberts10, Kristina Trenz11, Carole L. Yauk1,2, *

 

1 Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada

2 Department of Biology, Carleton University, Ottawa, ON, Canada

3 The Procter & Gamble Company, Mason, OH, United States

4 Toxalim, INRA, Toulouse, France

Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, ON, Canada

Litron Laboratories, Rochester, NY, United States

7 Toxys, Leiden, The Netherlands

Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands

Amgen, Thousand Oaks, CA, United States

10 Charles River Laboratories, Skokie, IL, United States

11 Boehringer-Ingelheim, Ingelheim, Germany

*Corresponding author: Carole Yauk (carole.yauk@canada.ca)


Status

Author status OECD status OECD project SAAOP status
Under development: Not open for comment. Do not cite

Abstract


This adverse outcome pathway (AOP) network describes the linkage between oxidative DNA damage and irreversible genomic damage (chromosomal aberrations and mutations). Both endpoints are of regulatory interest because irreversible genomic damage is associated with various adverse health effects such as cancer and heritable disorders.

Mutagens are genotoxic substances that alter the DNA sequence and this includes single base substitutions, deletion or addition of a single base or multiple bases of DNA, and complex multi-site mutations. Mutations can occur in coding and non-coding regions of the genome and can be functional or silent. The site and type of mutation will determine its consequence. Clastogens are genotoxic substances that cause DNA single- and double-strand breaks that can result in deletion, addition, or rearrangement of sections in the chromosomes. As with mutagens, the type and extent of chromosome modification(s) determine cellular consequences.

The molecular initiating event (MIE) of this AOP is increase in oxidative DNA damage, indicated by increases in oxidative DNA lesions. DNA in any cell type is susceptible to oxidative damage due to endogenous (e.g., aerobic respiration) and exogenous (i.e., exposure to oxidants) oxidative insults. Although this is the MIE for this AOP network, we note that there are numerous upstream key events (KE) that can also lead to DNA oxidation. Thus, we expect this AOP to be expanded upstream, and to be incorporated into a variety of AOP networks. Generally, cells are able to tolerate and readily repair oxidative DNA lesions by basal repair mechanisms. However, excessive damage can override the basal repair capacity and lead to inadequate repair of oxidative damage (KE1). Mutations (AO1) can arise from incorrect repair following oxidative damage (KE1), where incorrect bases are inserted opposite lesions during DNA replication. Insufficiently or incompletely repaired oxidative DNA lesions can also lead to DNA strand breaks (KE2) that, if insufficiently repaired (KE1), may result in chromosome aberrations (AO2) and/or mutations (AO1) following DNA replication.

Support for this AOP is strong based on extensive understanding of the mechanisms involved in this pathway, evidence of essentiality of certain KE (i.e., studies using reactive oxidative species scavengers and modulating DNA repair enzymes), and a robust set of studies providing empirical support for many of the KERs.

We anticipate that this AOP will be of widespread use to the regulatory community as oxidative DNA damage is considered an important contributor to the adverse health effects of many environmental toxicants. Importantly, the AOP points to critical research gaps required to establish the quantitative associations and modulating factors that connect KEs across the AOP, and highlights the utility of novel test methods in understanding and evaluating the implications of oxidative DNA damage.


Background


This AOP network describes oxidative damage to DNA (MIE) leading to mutations (AO1) and chromosomal aberrations (AO2). The AOP summarizes the evidence supporting how increases in oxidative DNA lesions can overwhelm DNA repair mechanisms, causing an accumulation of unrepaired lesions and/or repair intermediates. Failure to resolve oxidative DNA damage can lead to permanent alterations to the genome. Increases in reactive oxygen and nitrogen species (RONS) that can lead to oxidative DNA lesions is a broad characteristic of many xenobiotics and indeed, is noted as one of the 'key characteristics of carcinogens' (Smith et al., 2016). Moreover, oxidative stress is often suspected to be the cause of DNA damage by substances whose mechanism of genotoxicity is uncertain [e.g., glyphosate (Kier and Kirkland, 2013; Benbrook, 2019), monosodium glutamate (Ataseven et al., 2016)]. Thus, this AOP network will serve as a key tool in mechanism-based genotoxic hazard identification and assessment.

Oxidative stress describes an imbalance of oxidants and antioxidants in the cell. Excess oxidants can occur following exposure to agents that: (a) generate free radicals and other RONS, (b) deplete cellular antioxidants, and/or (c) have oxidizing properties. The effects of oxidative stress in the cell are broad; all biomolecules are susceptible to damage by oxidizing agents. Oxidative stress and associated damage to cellular components have been implicated in various diseases, including neurodegenerative diseases, cardiovascular diseases, diabetes, and different cancers (Liguori et al., 2018).

Free radicals and other RONS are continuously generated as by-products of endogenous redox reactions (e.g., oxidative phosphorylation in the mitochondria, NADPH oxidation to NADP+ by NADPH oxidase) at steady state. The steady state concentration of oxidants is essential for cellular functions (e.g., as secondary signalling molecules) and is tightly regulated by endogenous antioxidants such as glutathione, superoxide dismutase, and catalase. However, exogenous sources such as ionizing radiation, ultraviolet (UV) radiation, and certain compounds can directly or indirectly generate reactive species, causing oxidative stress. Oxidizing compounds can also directly cause oxidative damage to cellular components (Liguori et al., 2018). The nitrogenous bases of the DNA are susceptible to oxidation by both endogenous and exogenous oxidants (Berquist and Wilson III, 2012).

Oxidizing agents cause a wide range of oxidative DNA lesions. In addition to strand breaks due to direct RONS attack on the phosphate backbone, the nitrogenous bases can be modified in various ways by free radicals and other reactive species. If these lesions are left unrepaired or the attempt at repair fails, mutations and strand breaks can occur, permanently altering the DNA sequence. All nitrogenous bases are susceptible to oxidative damage, however, to different extents. A variety of DNA lesions caused by RONS are described within this AOP (Cooke et al., 2003). Notably, guanine is most readily damaged by RONS and other oxidants due to its low reduction potential. Indeed, 8-oxoG is the most abundant oxidative DNA lesion and has been extensively studied; 8-oxodG is an accepted biomarker of oxidative stress and oxidative damage to DNA (Roszkowski et al., 2011; Guo et al., 2017).

The pathway to mutations (AO1) from oxidative DNA lesions can either proceed (a) directly to mutation through replication of unrepaired oxidized DNA bases (insertion of an incorrect nucleotide by replicative or translesion polymerases), or (b) indirectly through the creation of strand breaks that can be misrepaired to introduce mutations (Taggart et al., 2014; Rodgers and McVey, 2016). Strand breaks can arise during attempted repair of oxidative DNA lesions. Oxidative base damage is predominantly repaired by base excision repair (BER), and by nucleotide excision repair (NER) to a lesser extent (Whitaker et al., 2017). In the excision repair pathways, single strand breaks (SSB) are transiently introduced as an intermediate. With increasing oxidative lesions and more lesions in close proximity to each other, the quality and efficiency of repair may be compromised, resulting in retention of unrepaired lesions and repair intermediates. Accumulated intermediate SSBs, along with unrepaired oxidative lesions and other intermediates like abasic sites, can interfere with repair at other damaged sites nearby and/or with the replication fork, and lead to double strand breaks (DSBs) which are more toxic and laborious to repair (Yang et al., 2006; Sedletska et al., 2013; Ensminger et al., 2014). Furthermore, if a SSB is introduced nearby another SSB on the opposite strand during excision repair, these SSBs may be converted to DSBs. Insufficiently repaired DSBs (incorrect or lack of rejoining) can permanently alter the DNA sequence (e.g., insertion, deletion, translocations), and cause both mutations (AO1) and structural chromosomal aberrations (AO2) (Rodgers and McVey, 2016). These processes are described in more detail within the AOP.   

Overall, we anticipate that this AOP network will provide a key sub-network that will be relevant to many future AOPs. However, we note that the AOs herein, increased mutations and chromosomal aberrations, are regulatory endpoints of concern in and of themselves. This AOP also provides a template for designing testing strategies for RONS-induced genetic effects. Importantly, this work highlights notable gaps in the empirical evidence despite the fact that this is a long-studied area in genetic toxicology. Quantifying the extent to which levels of oxidative DNA damage must increase before DNA repair processes are overwhelmed and the AOs result is required to improve our ability to predict whether this pathway is relevant to a chemical’s toxicological effects.


Summary of the AOP

Events

Molecular Initiating Events (MIE), Key Events (KE), Adverse Outcomes (AO)

Sequence Type Event ID Title Short name
1 MIE 1634 Increase, Oxidative damage to DNA Increase, Oxidative DNA damage
2 KE 155 N/A, Inadequate DNA repair N/A, Inadequate DNA repair
3 KE 1635 Increase, DNA strand breaks Increase, DNA strand breaks
4 AO 185 Increase, Mutations Increase, Mutations
5 AO 1636 Increase, Chromosomal aberrations Increase, Chromosomal aberrations

Key Event Relationships

Upstream Event Relationship Type Downstream Event Evidence Quantitative Understanding
Increase, Oxidative damage to DNA adjacent N/A, Inadequate DNA repair High Low
N/A, Inadequate DNA repair adjacent Increase, DNA strand breaks High Low
Increase, DNA strand breaks adjacent N/A, Inadequate DNA repair High Low
N/A, Inadequate DNA repair adjacent Increase, Mutations High Low
N/A, Inadequate DNA repair adjacent Increase, Chromosomal aberrations High Low
Increase, Oxidative damage to DNA non-adjacent Increase, DNA strand breaks Moderate Low
Increase, Oxidative damage to DNA non-adjacent Increase, Mutations High Low
Increase, DNA strand breaks non-adjacent Increase, Mutations High Low
Increase, DNA strand breaks non-adjacent Increase, Chromosomal aberrations High Low

Stressors


Name Evidence
Hydrogen peroxide High
Potassium bromate High
Ionizing Radiation High
Cadmium chloride High
tert-Butyl hydroperoxide High
Reactive oxygen species High

Overall Assessment of the AOP

Biological plausibility:

Overall, the biological plausibility of this AOP network is strong. This network was developed by a team of experts within the Health and Environmental Sciences Institute’s Genetic Toxicology Technical Committee and leveraged decades of experience and research on DNA repair and genetic toxicology.

It is established and accepted that unrepaired oxidative DNA lesions, especially 8-oxodG and FapydG, are mutagenic (AO1). During DNA replication, the presence of these adducts on nucleotides leads to the formation of incorrect base pairs with incoming nucleotides without causing structural disturbance and, thus, evading mismatch repair (Cooke et al., 2003). It is well-understood that both 8-oxodG and FapydG readily form base pairs with adenine, giving rise to G to T transversions, which are predominant base substitutions caused by oxidative stress (Cadet and Wagner, 2013; Poetsch et al., 2018). We note that the mutagenicity of 8-oxodG has been most extensively studied, while other oxidative DNA lesions have been studied to a lesser extent.

The biology behind the KERs leading to chromosomal aberrations (AO2) is more complex. There are a variety of biologically plausible mechanisms that link inadequate repair of oxidative DNA lesions to DNA strand breaks and subsequent chromosomal aberrations. Mechanistically, these pathways are well understood (Yang et al., 2006; Nemec et al., 2010; Markkanen, 2017). However, empirical evidence supporting the occurrence of these events is limited in the current literature.

Oxidative DNA lesions are primarily repaired by base excision repair (BER). BER is a multistep process that involves multiple enzymes including OGG1, which removes oxidized guanine bases and creates a nick 3’ to the damaged site, and APE1, which removes the AP site by cleaving 5’ to the AP site. A spike in BER substrates could lead to an imbalance in the initiating steps of BER, causing an accumulation of abasic sites and single strand break (SSB) intermediates (Coquerelle et al., 1995; Yang et al., 2006; Nemec et al., 2010). It is known that BER glycosylases are constitutively expressed and that APE1 is an abundant enzyme (Tell et al., 2009). Another biologically plausible way in which oxidative DNA lesions can lead to clastogenic effects is through futile cycles of MUTY-initiated BER, which removes dA opposite 8-oxodG post-replication (Hashimoto et al., 2004). Replicative polymerases may repeatedly insert dA opposite 8-oxodG, continuing the cycle of BER at the site and potentially causing an accumulation of SSBs. SSBs can turn into DSBs if they occur in close proximity to each other on opposite strands, or cause replication fork stall and collapse (Iliakis et al., 2004; Fujita et al., 2013; Mehta and Haber, 2014). If DSBs are not repaired in a timely manner, the broken ends can shift away from their original position and result in two incorrect ends being joined or loss of DNA segments, leading to structural aberrations (Obe et al., 2010; Durante et al., 2013)

Misrepair of DSBs can also lead to mutations, providing an alternate pathway to AO1, increase in mutations (Sedletska et al., 2013). Non-homologous end joining (NHEJ), the error-prone joining of two broken ends, is a faster and less labour-intensive process compared to homologous recombination (HR) which uses the homologous sequence in the homologous chromosome or sister chromatid as a template to ensure fidelity of the reconstructed strands (Mao et al., 2008a; Mao et al., 2008b). NHEJ may be preferred over HR in many instances, leading to altered sequences at the site of repair (Rodgers and McVey, 2016).The error-prone nature of DSB repair by NHEJ has been extensively studied and widely accepted. DSBs can also lead to salavage DNA repair pathways such as break-induced replication (BIR) and microhomology-mediated break-induced replication (MMBIR) which are linked to mutagenesis, chromosomal rearrangemnts, and genomic instability (Sakofsky et al., 2015; Kramara et al., 2018)

Time- and dose-response concordance:

The WOE supporting the time- and dose-response concordance of the KEs of these AOPs and the overall network is between moderate and strong.

The MIE (increase in oxidative DNA lesions) can be measured shortly following exposure to stressors. In cell-free systems and in vitro models, 8-oxodG has been quantified as early as 15 minutes following chemical exposure (Ballmaier and Epe, 2006). Time and concentration-response concordance in oxidative lesion formation and induction of strand breaks have been demonstrated by in vitro time course experiments, where increases in oxidative lesions was detected at earlier time points and at lower concentrations than strand breaks following exposure to various oxidative stress-inducing chemicals [e.g., Ballmaier and Epe (2006), Deferme et al. (2013)]. Mutations (AO1) and chromosomal aberrations (AO2) must be measured after replication and cell division; therefore, these endpoints are only detected at much later time points than the MIE and KEs. Due to the vastly different sensitivities and dynamic ranges of methodologies detecting the events in these AOPs, it is difficult to demonstrate concordance in concentration-response between the upstream events and AO.

Uncertainties, inconsistencies, and data gaps:

Currently, quantitative understanding of the amount of oxidative lesions that lead to the two AOs of this AOP network, mutations and chromosomal aberrations, is very limited. Very few studies have specifically investigated the extent of chromosomal aberrations induced by different levels of oxidative DNA lesions. Quantitative studies of different oxidative DNA lesions corresponding mutation frequencies are also very limited.

Quantitative understanding of the relationships comes primarily from studies that modulate levels of oxidative DNA damage through manipulation of repair enzyme activity. In these studies, conflicting observations have been made following modulation of OGG1, the primary repair enzyme for 8-oxodG lesions. While OGG1 protected against DSB formation and cytotoxicity of certain compounds (e.g., methyl mercury, bleomycin, hydrogen peroxide), DSBs were exacerbated by the presence of OGG1 in some other cases (e.g., ionizing radiation, conflicting results for hydrogen peroxide) (Ondovcik et al., 2012; Wang et al., 2018). Available literature indicates that the effect of inadequate repair of oxidative lesions manifests differently for different stressors; it has been suggested that these discrepancies may be due to the difference in proximity of lesions to each other (clustered lesions vs. single lesions) (Yang et al., 2004; Yang et al., 2006).


Domain of Applicability

Life Stage Applicability
Life Stage Evidence
All life stages
Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens NCBI
mice Mus sp. NCBI
rat Rattus norvegicus NCBI
Sex Applicability
Sex Evidence
Unspecific

Theoretically, this AOP is relevant to any cell type in any organism at any life stage. Regardless of the type of cell or organism, DNA is susceptible to oxidative damage and repair mechanisms exist to protect the cell against permanent chromosomal damage. Generally, DNA repair pathways are highly conserved among eukaryotic organisms (Wirth et al., 2016). Base excision repair (BER), the primary repair mechanism for oxidative DNA lesions, and associated glycosylases are highly conserved across eukaryotes (Jacobs and Schar, 2012). DNA strand break repair pathways such as homologous recombination (HR) and non-homologous end joining (NHEJ) are shared among eukaryotes as well. Induction of chromosomal aberrations and mutations following oxidative DNA damage has been studied in both eukaryotic and prokaryotic cells. Notably, the KEs of this AOP have been measured in rodent models (i.e., rat and mouse) and mammalian cells in culture (e.g., TK6 human lymphoblastoid cells, HepG2 human hepatic cells, Chinese hamster ovary cells) (Klungland et al., 1999; Arai et al., 2002; Platel et al., 2009; Platel et al., 2011; Deferme et al., 2013).

The occurrence of oxidative DNA damage and chromosomal aberrations are well-established events in humans. Micronucleus and 8-oxodG have been quantified in various tissues and fluids as part of occupational health and biomonitoring studies. Detection of 8-oxodG is typically used as a measure of oxidiative DNA damage and induction of oxidative stress due to exposure and/or diseases [e.g., urinary 8-oxodG (Hanchi et al., 2017); 8-oxodG in tumour samples (Mazlumoglu et al., 2017)]. Micronucleus is also regularly quantified as a biomarker of genotoxic exposure in humans. Numerous examples of MN detection in different human tissues (e.g., lymphocytes, buccal cells, urothelial cells) are available in the current literature (Li et al., 2014; Dong et al., 2019; Alpire et al., 2019). Mutations also have been measured in human samples of diverse cell types (Ojha et al., 2018; Zhu et al., 2019; Liljedahl et al., 2019). As such, observations of the MIE and the two AOs of this AOP have been extensively documented in humans.

Essentiality of the Key Events

A large number of studies exploring the effects of modulating different events in this network and measuring downstream effects have been published. These studies broadly provide strong support to the essentiality of the events to the pathway and AOs. Below we provide examples to demonstrate the effect of modulating each KE on the downstream KEs/AOs.

Essentiality of Increase, oxidative DNA damage (MIE)

  • GSH depletion increases 8-oxo-dG (MIE), and DNA strand breaks (KE2)
    • HepG2 human hepatocytes were treated with 1 mM buthionine sulphoximine (BSO), a GSH-depleting agent, for 4, 8, and 24 hours. Time-dependent reduction in GSH was observed and the reduction was significant at all time points compared to 0h. The level of 8-oxo-dG lesions was measured at 6 and 24 hours; at both time points, there was a significant increase in oxidative DNA lesions, with a larger amount of lesions present at 24 hours. Strand breaks were also measured concurrently. While there was no observable increase in strand breaks at 6 hours, the increase at 24 hours was significant compared to control (p<0.01) (Beddowes et al., 2003).
  • Antioxidant treatment reduces oxidative lesions and downstream strand breaks and MN (AO2)
    • A 3 hour exposure of HepG2 cells to increasing concentrations of tetrachlorohydroquinone (TCHQ) with N-acetylcysteine (NAC: a radical scanvenger and precursor to glutathione) pre-treatment reduced the amount of cellular ROS (measured by DCFH-DA assay), 8-oxodG, and strand breaks induced by TCHQ measured immediately following exposure. The micronucleus (MN) assay at 24 hours indicated a significant decrease in MN at the highest concentration (Dong et al., 2014).
    • Reduction of 8-oxo-dG levels following NAC treatment was also observed in embryos isolated from C57BL/6Jpun/pun mice treated with NAC via drinking water; NAC significantly reduced the number of 8-oxo-dG in the treatment group (Reliene et al., 2004). In human blood mononuclear cells collected in clinical studies, 72-hour NAC treatment significantly reduced the number of MN in the cells. Together, these data support the correlation between the levels of ROS, 8-oxo-dG, and MN frequency (Federici et al., 2015).

Essentiality of Inadequate DNA repair (KE1)

  • The effect of inadequate DNA repair on lesion accumulation and strand breaks (KE2)
    • Nth1 knock-out - FapyG and FapyA lesions were measured in the liver nuclear extracts from wild type and Nth1-/- mice. A significant increase in FapyG and FapyA was observed in Nth1-/- mice. These results demonstrate insufficient repair leading to accumulation of unrepaired oxidative lesions (Hu et al., 2005).
    • Ogg1 knock-out in vitro - In Ogg1-/- mouse embryonic fibroblasts (MEF) treated with 400 µM hydrogen peroxide for 30 minutes, there were significantly fewer strand breaks measured by comet assay, compared to Ogg1+/+ MEFs. Time series (5 – 90 minutes) immunoblotting of the genomic DNA using anti-8-oxo-dG antibody indicated a larger magnitude of increase in oxidative lesions in Ogg1-/- cells compared to wild type.  Overall, the results demonstrate the role of Ogg1 in the generation of strand breaks as an intermediate in base excision repair following oxidative DNA damage (Wang et al., 2018).    
  • The effect of inadequate DNA repair on MN induction (AO2)
    • Ogg1 knock-out in vivo - In Ogg1-deficient mice exposed to silver nanoparticles (AgNPs) for seven days, a significant increase (compared to Ogg1+/+) in double strand breaks (indicated by % γ-H2AX positive cells) and 8-oxo-dG lesions was observed on day 7 of the exposure and following 7 days of recovery. The magnitude of increase in DSBs after the 7-day recovery was smaller in the wild type. Levels of MN were measured in erythrocytes at the same time points. Increases in MN frequency were significant in wild type (compared to untreated control) on day 7, immediately following exposure; however, after 7 and 14 days of recovery, the increase was no longer significant. In Ogg1-/- mice, the increase in MN was significant on day 7 compared to Ogg1+/+ mice and untreated Ogg1-/- mice and remained significant 7 and 14 days after the exposure (Nallanthighal et al., 2017). Thus, the DNA damage was retained in repair deficient mice leading to persistent clastogenic effects.
  • The effect of inadequate DNA repair on mutations (AO1)
    • Suzuki et al. (2010) knocked-down BER-initiating glycosylases (OGG1, NEIL1, MYH, NTH1) in HEK293T human embryonic kidney cells transfected with plasmids that were either positive or negative for 8-oxodG. The resulting changes in mutant frequencies were measured. Compared to the negative control, all knock-downs caused the mutant frequency to increase in 8-oxodG plasmid-containing cells. Moreover, G:C to T:A transversion frequency increased in all analyzed cells. MYH knock-down decreased A:T to C:G transversion frequency of A paired to 8-oxo-dG; the latter result supports the futile MYH-initiated BER model for the repair of 8-oxo-dG opposite A (Suzuki et al., 2010). Overall, these findings support the essential role of DNA repair in mitigating the mutagenic effects of oxidative DNA lesions.

Essentiality of Increase, DNA strand breaks (KE2)

  • Double strand breaks leading to mutations (AO1)
    • Tatsumi-Miyajima et al. (1993) analyzed different mutations arising from the repair of DSBs induced by a restriction endonuclease, AvaI¸ in five different human fibroblast cell lines transfected with plasmids containing the AvaI restriction site in the supF gene. Cells containing non-digested plasmids (negative control) produced spontaneous supF mutation frequencies between 0.197 and 2.49 x10-3. In cells containing Ava1-digested plasmids, the number of supF mutants increased, indicated by the rejoining fidelity ((total colonies-supF mutants)/total colonies) between 0.50-0.86 (Tatsumi-Miyajima et al., 1993).
  • Reduction in strand breaks leads to decreases in MN frequency (AO2)
    • PCCL3 normal differentiated rat thyroid cells were internally irradiated by 131I treatment and externally irradiated by 5 Gy X-rays, with or without NAC pre-treatment. Cellular ROS and strand breaks were measured at different time points after irradiation. NAC pre-treatment prevented the ROS spike induced by both internal and external irradiation at 30 min. The level of ROS was also significantly lower in the NAC-treated cells compared to the non-treated cells at later time points (2, 24, and 48 hours). Moreover, the spike in strand breaks at 30 min was also prevented by NAC pre-treatment and there was a reduction in strand breaks compared to the non-treated cells at later time points as well. Finally, the induction of MN measured at 24 and 48 hours following irradiation was significantly lower in NAC-treated cells compared to non-treated cells (Kurashige et al., 2017).

Weight of Evidence Summary

1. Support for biological plausibility

Defining Question

High (Strong)

Moderate

Low (Weak)

Is there a mechanistic relationship between KEup and KEdown consistent with established biological knowledge?

Extensive understanding of the KER based on extensive previous documentation and broad acceptance.

KER is plausible based on analogy to accepted biological relationships, but scientific understanding is incomplete

Empirical support for association between

KEs, but the structural or functional relationship between them is not understood.

MIE → KE1: Increase, oxidative DNA damage leads to inadequate repair

STRONG

The repair mechanisms for oxidative DNA damage have been extensively studied and well-understood. It is generally accepted that there exist limits on the amount of oxidative DNA damage that can be managed by these repair mechanisms.

KE1 → KE2: Inadequate repair leads to Increase, DNA strand breaks

STRONG

It is well-established that failed attempt to repair of accumulated lesions and interference of the replication fork by both unrepaired and incompletely repaired DNA lesions (e.g., repair intermediates such as abasic sites and SSBs) can lead to increase in DNA strand breaks.

KE2 →KE1:

Increase, DNA strand breaks leads to Inadequate repair

STRONG

It is well recognized that almost all types of DNA lesions will result in recruitment of repair enzymes and factors to the site of damage, and the pathway involved in the repair of DSBs has been well-documented in a number of reviews, many of which also discuss the error-prone nature of DNA repair.

KE1 → AO1: Inadequate repair leads to Increase, mutations

STRONG

Numerous previous studies have demonstrated increase in mutation due to unrepaired lesions (insufficient repair) and incorrect repair (e.g., non-homologous end joining and error-prone lesion bypass), both in vitro and in vivo. The mechanisms by which these events occur are well-understood.

KE1 → AO2: Inadequate repair leads to Increase, chromosomal aberrations

STRONG

Chromosomal aberrations may result if DNA repair is inadequate, meaning that the double-strand breaks are misrepaired or not repaired at all. A multitude of different types of chromosomal aberrations can occur, depending on the timing and type of erroneous repair. Examples of chromosomal aberrations include copy number variants, deletions, translocations, inversions, dicentric chromosomes, nucleoplasmic bridges, nuclear buds, micronuclei, centric rings, and acentric fragments. A multitude of publications are available that provide details on how these various chromosomal aberrations are formed in the context of inadequate repair.

Non-adjacent:

KE2 →AO1: Increase, DNA strand breaks leads to Increase, mutations

STRONG

Mechanisms of DNA strand break repair have been extensively studied. It is accepted that non-homologous joining of broken ends can introduce deletions, insertions, or base substitution.   

Non-adjacent

MIE → KE2: Oxidative DNA lesions leads to Increase, DNA strand breaks

MODERATE

Increase in strand breaks due to failed attempted repair of oxidative DNA lesions is an accepted mechanism for the clastogenic effects of oxidative damage. Concurrent increases in the two KEs have been observed in previous studies. However, data that demonstrate a causal relationship are limited.

Non-adjacent

MIE → AO1: Oxidative DNA lesions leads to Increase, mutations

STRONG

Strong empirical evidence exist in literature demonstrating increase in mutations due to increase in oxidative DNA lesions. Notably, mutagenicity of 8-oxodG, the most abundant oxidative DNA lesion, has been extensively studied and is well-known to cause G to T transversions.

Non-adjacent

KE2→AO2:

Increase, DNA strand breaks leads to Increase, chromosomal aberrations

STRONG

DNA strands breaks must occur for chromosomal aberrations to occur.

2. Support for Essentiality of KEs

Defining Question

High (Strong)

Moderate

Low (Weak)

Are downstream KEs and/or the AO prevented if an upstream KE is blocked?

Direct evidence from specifically designed experimental studies illustrating essentiality for at least one of the important KEs

Indirect evidence that sufficient modification of an expected modulating factor attenuates or augments a KE

No or contradictory experimental evidence of the essentiality of any of the KEs.

MIE: Increase, oxidative DNA damage

MODERATE

Studies have demonstrated that indirectly reducing or increasing the amount of oxidative DNA lesions by reducing or increasing cellular ROS (via antioxidant addition or depletion) causes concordant changes in the level of strand breaks and MN.

KE1: Inadequate repair

STRONG

Numerous studies have investigated inadequate repair of oxidative DNA lesions by disrupting base excision repair (BER) through generating gene knock-down rodent or mammalian cell models. Modulation of the downstream KEs (i.e., DNA strand breaks, mutation, MN) by dysfunctional repair has been demonstrated in these studies.

KE2: DNA strand breaks

MODERATE

Theoretically, chromosomal aberrations (AO2) cannot occur unless DNA strands break. Mostly indirect evidence exists that support the essentiality of KE2 in leading to mutations (AO1).

3. Empirical Support for KERs

Defining Question

High (Strong)

Moderate

Low (Weak)

Does empirical evidence support that a change in KEup leads to an appropriate change in KEdown?

Does KEup occur at lower doses and earlier time points than KE down and is the incidence of KEup> than that for KEdown?

Inconsistencies?

Multiple studies showing dependent change in both events following exposure to a wide range of specific stressors.

No or few critical data gaps or conflicting data

Demonstrated dependent change in both events following exposure to a small number of stressors.

Some inconsistencies with expected pattern that can be explained by various factors.

Limited or no studies reporting dependent change in both events following exposure to a specific stressor; and/or significant inconsistencies in empirical support across taxa and species that don’t align with hypothesized AOP

MIE → KE1: Increase, oxidative DNA damage leads to inadequate repair

MODERATE

Empirical data are available both in vitro and in vivo that demonstrate increase in oxidative DNA lesions leadings to indications of inadequate repair (i.e., increase in mutation, retention of adducts, increase in lesions despite upregulation of repair enzymes).

KE1 → KE2: Inadequate repair leads to Increase, DNA strand breaks

MODERATE

Limited in vivo data are available. A few In vitro studies have demonstrated a larger increase in DNA strand breaks in DNA repair-defective cells compared to wildtype cells, following various oxidative stresse-inducing chemical exposures. 

In certain cases, as demonstrated by Wang et al. (2018), knock-down of OGG1 (BER-initiating glycosylase) reduced the amount of  DNA strand breaks that formed following a hydrogen peroxide exposure - mostly likely due to the reduction in the incidences of incomplete repair. As such, deficiency in different DNA repair proteins can have varying effects on downstream strand breaks; inadequate repair may manifest differently for different stressors.

KE2 →KE1:

Increase, DNA strand breaks leads to Inadequate repair

MODERATE

Results from many studies indicate dose/incidence and temporal concordance between the frequency of double-strand breaks and the rate of inadequate repair. As DNA damage accumulates in organisms, the incidence of inadequate DNA repair activity (in the form of non-repaired or misrepaired DSBs) also increases.

 Uncertainties in this KER include controversy surrounding how error-prone NHEJ truly is, differences in responses depending on the level of exposure of a genotoxic substance, and confounding factors (such as smoking) that affect double-strand break repair fidelity.

KE1 → AO1: Inadequate repair leads to Increase, mutations

STRONG

Repair deficiency causing increase in mutations has been extensively demonstrated in both in vitro and in vivo models. Overexpression of repair enzymes has been shown to reduce mutation frequency following chemical exposure in vitro; these data further support the causal relationship between these two KEs.

KE1 → AO2: Inadequate repair leads to Increase, chromosomal aberrations

MODERATE

There is little empirical evidence available that directly examines the dose and incidence concordance between DNA repair and CAs within the same study. Similarly, there is not clear evidence of a temporal concordance between these two events. More research is required to establish empirical evidence for this KER.

Non-adjacent:

KE2 →AO1: Increase, DNA strand breaks leads to Increase, mutations

MODERATE

Evidence demonstrating dose and temporal concordance in the two KEs are available in both in vitro and in vivo studies. These studies used a few different chemicals and ionizing radiation as stressors.

Non-adjacent

MIE → KE2: Oxidative DNA lesions leads to Increase, DNA strand breaks

MODERATE

Both in vitro and in vivo data are available that demonstrate dose-response concordance in oxidative DNA lesions formation and strand breaks following exposure to various stressors. However, the temporal concordance between the KEs in these results is not strong; there are discrepancies in the temporal sequence of events that appear to be dependent on the endpoint used to measure the KE (i.e., Fpg comet assay vs. 8-oxodG immunodetection, comet assay vs. ɣ-H2AX immunodetection). 

Non-adjacent

MIE → AO1: Increase, oxidative DNA lesions leads to Increase, mutations

STRONG

This KER was demonstrated both in vitro and in vivo via knock-down of oxidative DNA damage repair protein (OGG1) and exposure to different ROS-inducing chemicals. Increase in oxidative DNA lesions followed by an increase in mutant frequency or G to T transversions was clearly shown in these studies. 

Non-adjacent

KE2→AO2:

Increase, DNA strand breaks leads to Increase, chromosomal aberrations

MODERATE

Temporal concordance is clear in both in vitro and in vivo data. However, due to the differences in the methods used to measure strand breaks and chromosomal aberrations, the concentration-response of these events often appear to be discordant.  

Quantitative Consideration

The quantitative understanding of the KERs in this AOP is overall weak. Different cell types have different baseline levels of oxidative DNA lesion repair capacity; for example, Nishioka et al. (1999) demonstrated difference in the expression level of OGG1 mRNA across different human tissues (Nishioka et al., 1999). Thus, the quantity of oxidative DNA lesions required to overwhelm the repair mechanisms and lead to chromosomal damage or mutations may vary by cell type.

 

Considerations for Potential Applications of the AOP (optional)


Genotoxicity testing is a fundamental requirement of all chemical and pharmaceutical assessments. Mutations and chromosome damage are inarguably tied to the induction of many genetic diseases including cancer. Oxidative DNA damage is a well-known genotoxic hazard and, thus, a critical endpoint in genotoxicity hazard assessment.  Indeed, when the mode of genotoxic action of a chemical is uncertain, oxidative DNA damage is frequently suspected to be the cause. This AOP network provides a framework for assembling information from different mechanism based tests to determine the probability that an agent will cause genotoxicity through induction of oxidative DNA damage. Moreover, the field of applied genetic toxicology is in the midst of a paradigm shift (Dearfield et al., 2017; White and Johnson, 2016), transitioning from a strictly qualitative hazard identification approach to applications in quantitative risk assessment. AOP networks such as this one are a critical element of this paradigm change, informing how different test methods align with the measurement of adverse genotoxic outcomes. Quantitative understanding is necessary in order to be able to determine the extent of oxidative DNA lesions, and single and double strand breaks, necessary to lead to mutations and chromosomal aberrations. This AOP network documents clear gaps in quantitative understanding that must be defined in order to enhance risk assessment and predict toxicology for chemicals that induce oxidative DNA lesions. Overall, the AOP serves a variety of potential regulatory purposes including: (a) facilitating mode of action analysis for chemicals hypothesized to operate through this pathway; (b) identifying test methods and strategies that can be used to test these hypothetical AOPs for new chemicals; (c) facilitating the development of new testing strategies; and (c) highlighting gaps and uncertainties in genotoxicity modes of action.

References


Alpire, M., C. Cardoso, C. Seabra Pereira, and D. Ribeiro (2019), "Genomic instability in Buccal mucosal cells of children living in abnormal conditions from Santos-Sao Vicente Estuary", Int J Environ Health Res, 1:1-7.

Arai, T., V.P. Kelly, O. Minowa, T. Noda, and S. Nishimura (2002), "High accumulation of oxidative DNA damage, 8-hydroxyguanine, in Mmh/Ogg1 deficient mice by chronic oxidative stress", Carcinogenesis, 23:2005-2010.

Ataseven, N., C. Yuzbasioglu A., and F. Unal (2016), "Genotoxicity of monosodium glutamate", Food Chem Toxicol, 91:8-18.

Ballmaier, D. and B. Epe (2006), "DNA damage by bromate: Mechanism and consequences", Toxicol, 221:166-171.

Beddowes, E., S. Faux, and J.K. Chipman (2003), "Chloroform, carbon tetrachloride and glutathione depletion induce secondary genotoxicity in liver cells via oxidative stress", Toxicol, 187:101-115.

Benbrook, C.M. (2019), "How did the US EPA and IARC reach diametrically opposed conclusions on the genotoxicity of glyphosate-based herbicides?", Envrion Sci Eur, 31:2.

Berquist, B. and D. Wilson III (2012), "Pathways for Repairing and Tolerating the Spectrum of Oxidative DNA Lesions", Cancer Lett, 327:61-72.

Cadet, J. and J.R. Wagner (2013), "DNA Base Damage by Reactive Oxygen Species, Oxidizing Agents, and UV Radiation", Cold Spring Harb Perspect Biol, 5:a012559.

Cooke, M., M. Evans, M. Dizdaroglu, and J. Lunec (2003), "Oxidative DNA damage: mechanisms, mutation, and disease", FASEB J, 17:1195-1214.

Coquerelle, T., J. Dosch, and B. Kaina (1995), "Overexpression of N-methylpurine-DNA glycosylase in Chinese hamster ovary cells renders them more sensitive to the production of chromosomal aberrations by methylating agents - a case of imbalanced DNA repair ", Mutat Res, 336:9-17.

Dearfield, K., B. Gollapudi, J. Bemis, R. Benz, G. Douglas, R. Elespuru, G. Johnson, D. Kirkland, M. LeBaron, A. Li, F. Marchetti, L. Pottenger, E. Rorije, J. Tanir, V. Thybaud, J. van Benthem, C.L. Yauk, E. Zeiger, and M. Luijten (2017), "Next Generation Testing Strategy for Assessment of Genomic Damage: A conceptual framework and considerations", Environ Mol Mutagen, 58:264-283.

Deavall, D., E. Martin, J. Hornet, and R. Roberts (2012), "Drug-Induced Oxidative Stress and Toxicity", J Toxicol, 2012:645460.

Deferme, L., J.J. Briede, S.M. Claessen, D.G. Jennen, R. Cavill, and J.C. Kleinjans (2013), "Time series analysis of oxidative stress response patterns in HepG2: A toxicogenomics approach  ", Toxicol, 306:24-34.

Dong, H., D. Xu, L. Hu, L. Li, E. Song, and Y. Song (2014), "Evaluation of N-acetyl-cysteine against tetrachlorobenzoquinoneinduced genotoxicity and oxidative stress in HepG2 cells", Food Chem Toxicol, 64:291-297.

Dong, J., J. Wang, Q. Qian, G. Li, D. Yang, and C. Jiang (2019), "Micronucleus assay for monitoring the genotoxic effects of arsenic in human populations: A systematic review of the literature and meta-analysis", Mutat Res, 780:1-10.

Durante, M., J.S. Bedford, D.J. Chen, S. Conrad, M.N. Cornforth, A.T. Natarajan, D. van Gent, and G. Obe (2013), "From DNA damage to chromosome aberrations: Joining the break", Mutat Res, 756:5-13.

Ensminger, M., L. Iloff, C. Ebel, T. Nikolova, B. Kaina, and M. Lobrich (2014), "DNA breaks and chromosomal aberrations arise when replication meets base excision repair", J Cell Biol, 206:29.

Federici, C., K. Drake, C. Rigelsky, L. McNelly, S. Meade, S. Comhair, S. Erzurum, and M. Aldred (2015), "Increased Mutagen Sensitivity and DNA Damage in Pulmonary Arterial Hypertension", Am J Respir Crit Care Med, 192:219-228.

Fujita, M., H. Sasanuma, K. Yamamoto, H. Harada, A. Kurosawa, N. Adachi, M. Omura, M. Hiraoka, S. Takeda, and K. Hirota (2013), "Interference in DNA Replication Can Cause Mitotic Chromosomal Breakage Unassociated with Double-Strand Breaks", PLoS One, 8:e60043.

Hashimoto, K., Y. Tominaga, Y. Nakabeppu, and M. Moriya (2004), "Futile short-patch DNA base excision repair of adenine:8-oxoguanine mispair", Nucleic Acids Res, 32:5928-5934.

Gedik, C., S. Boyle, S. Wood, N. Vaughan, and A.R. Collins (2002), "Oxidative stress in humans: validation of biomarkers of DNA damage", Carcinogenesis, 23:1441-1446.

Guo, C., P. Ding, C. Xie, C. Ye, M. Ye, C. Pan, X. Cao, S. Zhang, and S. Zheng (2017), "Potential application of the oxidative nucleic acid damage biomarkers in detection of diseases", Oncotarget, 8:75767-75777.

Hanchi, M., L. Campo, E. Polledri, L. Olgiati, D. Consonni, D. Saidane-Mosbahi, and S. Fustinoni (2017), "Urinary 8-Oxo-7,8-Dihydro-2'-Deoxyguanosine in Tunisian Electric Steel Foundry Workers Exposed to Polycyclic Aromatic Hydrocarbons", Ann Work Expo Health, 61:333-343.

Hu, J., N.C. de Souza-Pinto, K. Haraguchi, B. Hogue, P. Jaruga, M.M. Greenberg, M. Dizdaroglu, and V. Bohr (2005), "Repair of formamidopyrimidines in DNA involves different glycosylases: role of the OGG1, NTH1, and NEIL1 enzymes", J Biol Chem, 280:40544-40551.

Iliakis, G., H. Wang, A.R. Perrault, W. Boecker, B. Rosidi, F. Windhofer, W. Wu, J. Guan, G. Terzoudi, and G. Pantelias (2004), "Mechanisms of DNA double strand break repair and chromosome aberration formation", Cytogenet Genome Res, 104:14-20.

Kier, L.D. and D. Kirkland (2013), "Review of genotoxicity studies of glyphosate and glyphosate-based formulations", Crit Rev Toxicol, 43:283-315.

Klungland, A., I. Rosewell, S. Hollenbach, E. Larsen, G. Daly, B. Epe, E. Seeberg, T. Lindahl, and D. Barnes (1999), "Accumulation of premutagenic DNA lesions in mice defective in removal of oxidative base damage", Proc Natl Acad Sci USA, 96:13300-13305.

Kramara, J., B. Osia, and A. Malkova (2018), "Break-Induced Replication: The Where, The Why, and The How", Trends Genet, 34:518-531.

Kurashige, T., M. Shimamura, and Y. Nagayama (2017), "N-Acetyl-l-cysteine protects thyroid cells against DNA damage induced by external and internal irradiation", Radiat Environ Biophys, 56:405-412.

Li, P., Y. Gu, S. Yu, Y. Li, J. Yang, and G. Jia (2014), "Assessing the suitability of 8-OHdG and micronuclei as genotoxic biomarkers in chromate-exposed workers: a cross-sectional study", BMJ Open, 4:e005979.

Liguori, I., G. Russo, F. Curcio, G. Bulli, L. Aran, D. Della-Morte, G. Gargiulo, G. Testa, F. Cacciatore, D. Bonaduce, and P. Abete (2018), "Oxidative stress, aging, and diseases", Clin Interv Aging, 13:757-772.

Liljedahl, E., K. Wahlberg, C. Liden, M. Albin, and K. Broberg (2019), "Genetic variants of filaggrin are associated with occupational dermal exposure and blood DNA alterations in hairdressers", Sci Total Environ, 653:45-54.

Mao, Z., M. Bozzella, A. Seluanov, and V. Gorbunova (2008a), "Comparison of nonhomologous end joining and homologous recombination in human cells", DNA Repair, 7:1765-1771.

Mao, Z., M. Bozzella, A. Seluanov, and V. Gorbunova (2008b), "DNA repair by nonhomologous end joining and homologous recombination during cell cycle in human cells", Cell Cycle, 7:2902-2906.

Markkanen, E. (2017), "Not breathing is not an option: How to deal with oxidative DNA damage", DNA Repair, 59:82-105.

Mazlumoglu, M.R., O. Ozkan, H.H. Alp, E. Ozyildirim, F. Bingol, O. Yoruk, and O. Kuduban (2017), "Measuring Oxidative DNA Damage With 8-Hydroxy-2'-Deoxyguanosine Levels in Patients With Laryngeal Cancer", Ann Otol Rhinol Laryngol, 126:103-109.

Mehta, A. and J. Haber (2014), "Sources of DNA Double-Strand Breaks and Models of Recombinational DNA Repair", Cold Spring Harb Perspect Biol, 6:a016428.

Nallanthighal, S., C. Chan, T. Murray, A. Mosier, N. Cady, and R. Reliene (2017), "Differential effects of silver nanoparticles on DNA damage and DNA repair gene expression in Ogg1-deficient and wild type mice", Nanotoxicol, 11:996-1011.

Nemec, A., S. Wallace, and J. Sweasy (2010), "Variant base excision repair proteins: Contributors to genomic instability", Seminars Cancer Biol, 20:320-328.

Obe, G., C. Johannes, and S. Ritter (2010), "The number and not the molecular structure of DNA double-strand breaks is more important for the formation of chromosomal aberrations: A hypothesis", Mutat Res, 701:3-11.

Ojha, J., I. Dyagil, S. Finch, R. Reiss, A. de Smith, S. Gonseth, M. Zhou, H. Hansen, A. Sherborne, J. Nakamura, P. Bracci, N. Gudzenko, M. Hatch, N. Babkina, M.P. Little, V.V. Chumak, K. Walsh, D. Bazyka, J. Wiemels, and L. Zablotska (2018), "Genomic characterization of chronic lymphocytic leukemia (CLL) in radiation-exposed Chornobyl cleanup workers", Environ Health, 17:43.

Ondovcik, S.L., L. Tamblyn, J.P. McPherson, and P. Wells (2012), "Oxoguanine Glycosylase 1 (OGG1) Protects Cells from DNA Double-Strand Break Damage Following Methylmercury (MeHg) Exposure", Toxicol Sci, 128:272-283.

Platel, A., F. Nesslany, V. Gervais, and D. Marzin (2009), "Study of oxidative DNA damage in TK6 human lymphoblastoid cells by use of the in vitro micronucleus test: Determination of No-Observed-Effect Levels", Mutat Res, 678:30-37.

Poetsch, A., S. Boulton, and N. Luscombe (2018), "Genomic landscape of oxidative DNA damage and repair reveals regioselective protection from mutagenesis", Genome Biol, 19:215.

Reliene, R., E. Fischer, and R. Schiestl (2004), "Effect of N-Acetyl Cysteine on Oxidative DNA Damage and the Frequency of DNA Deletions in Atm-Deficient Mice", Cancer Res, 64:5148-5153.

Rodgers, K. and M. McVey (2016), "Error-prone repair of DNA double-strand breaks", J Cell Physiol, 231:15-24.

Roszkowski, K., W. Jozwicki, P. Blaszczyk, A. Mucha-Malecka, and A. Siomek (2011), "Oxidative damage DNA: 8-oxoGua and 8-oxodG as molecular markers of cancer", Medical Science Monitor, 17:329-333.

Sakofsky, C.J., S. Ayyar, A. Deem, W.H. Chung, G. Ira, and A. Malkova (2015), "Translesion Polymerases Drive Microhomology-Mediated Break-Induced Replication Leading to Complex Chromosomal Rearrangements", Mol Cell, 60:860-872.

Sedletska, Y., J.P. Radicella, and E. Sage (2013), "Replication fork collapse is a major cause of the high mutation frequency at three-base lesion clusters", Nucleic Acids Res, 41:9339-9348.

Shah, A., K. Gray, N. Figg, A. Finigan, L. Starks, and M. Bennett (2018), ". Defective Base Excision Repair of Oxidative DNA Damage in Vascular Smooth Muscle Cells Promotes Atherosclerosis", Circulation, 138:1446-1462.

Shih, W., C. Chang, H. Chen, and K. Fan (2018), "Antioxidant activity and leukemia initiation prevention in vitro and in vivo by N‑acetyl‑L‑cysteine", Oncol Lett, 16:2046-2052.

Smith, M.T., K.Z. Guyton, C.F. Gibbons, J.M. Fritz, C.J. Portier, I. Rusyn, D.M. DeMarini, J.C. Caldwell, R.J. Kavlock, P.F. Lambert, S.S. Hecht, J.R. Bucher, B.W. Stewart, R.A. Baan, V.J. Cogliano, and K. Straif(2016), "Key Characteristics of Carcinogens as a Basis for Organizing Data on Mechanisms of Carcinogenesis", Environ Health Perspect. 2016 Jun;124(6):713-21.

Suzuki, T., H. Harashima, and H. Kamiya (2010), "Effects of base excision repair proteins on mutagenesis by 8-oxo-7,8-dihydroguanine (8-hydroxyguanine) paired with cytosine and adenine", DNA Repair, 9:542-550.

Taggart, D., S. Fredrickson, V. Gadkari, and Z. Suo (2014), "Mutagenic Potential of 8-Oxo-7,8-dihydro-2′-deoxyguanosine Bypass Catalyzed by Human Y-Family DNA Polymerases", Chem Res Toxicol, 27:931-940.

Tatsumi-Miyajima, J., T. Yagi, and H. Takebe (1993), "Analysis of mutations caused by DNA double-strand breaks produced by a restriction enzyme in shuttle vector plasmids propagated in ataxia telangiectasia cells", Mutat Res, 294:317-323.

Tell, G., F. Quadrifoglio, C. Tiribelli, and M.R. Kelley (2009), "The Many Functions of APE1/Ref-1: Not Only a DNA Repair Enzyme", Antioxid Redox Signal, 11:601-619.

Wang, R., C. Li, P. Qiao, Y. Xue, X. Zheng, H. Chen, X. Zeng, W. Liu, I. Boldogh, and X. Ba (2018), "OGG1-initiated base excision repair exacerbates oxidative stress-induced parthanatos", Cell Death and Disease, 9:628.

Whitaker, A., M. Schaich, M.S. Smith, T. Flynn, and B. Freudenthal (2017), "Base excision repair of oxidative DNA damage: from mechanism to disease", Front Biosci, 22:1493-1522.

White, P.A. and G.E. Johnson (2016), "Genetic toxicology at the crossroads-from qualitative hazard evaluation to quantitative risk assessment", Mutagenesis, 31:233-237.

Wirth, N., C.N. GrosBuechner, C. Kisker, and I. Tessmer (2016), "Conservation and Divergence in Nucleotide Excision Repair Lesion Recognition", J Biol Chem, 291:18932-18946.

Yang, N., A. Chaudry, and S. Wallace (2006), "Base excision repair by hNTH1 and hOGG1: A two edged sword in the processing of DNA damage in gamma-irradiated human cells", DNA Repair, 5:43-51.

Yang, N., H. Galick, and S. Wallace (2004), "Attempted base excision repair of ionizing radiation damage in human lymphoblastoid cells produces lethal and mutagenic double strand breaks", DNA Repair, 3:1323-1334.

Zhu, F., Y. Zhang, L. Shi, C. Wu, S. Chen, H. Zheng, and D. Song (2019), "Gene mutation detection of urinary sediment cells for NMIBC early diagnose and prediction of NMIBC relapse after surgery", Medicine, 98:e16451.


Appendix 1

List of MIEs in this AOP

Event: 1634: Increase, Oxidative damage to DNA

Short Name: Increase, Oxidative DNA damage

AOPs Including This Key Event

AOP ID and Name Event Type
Aop:296 - Oxidative DNA damage leading to chromosomal aberrations and mutations MolecularInitiatingEvent

Stressors

Name
Hydrogen peroxide
Potassium bromate
Ionizing Radiation
Sodium arsenite
Reactive oxygen species

Biological Context

Level of Biological Organization
Molecular

Cell term

Cell term
eukaryotic cell

Evidence for Perturbation by Stressor


Overview for Molecular Initiating Event

H2O2  and KBrO3 – A concentration-dependent increase in oxidative lesions was observed in both Fpg- and hOGG1-modified comet assays of TK6 cells treated with increasing concentrations of glucose oxidase (enzyme that generates H2O2)  and potassium bromate for 4 hours (Platel et al., 2011).



Domain of Applicability


Taxonomic Applicability
Term Scientific Term Evidence Links
human and other cells in culture human and other cells in culture NCBI
yeast Saccharomyces cerevisiae NCBI
mouse Mus musculus NCBI
rat Rattus norvegicus NCBI
bovine Bos taurus NCBI
Life Stage Applicability
Life Stage Evidence
All life stages
Sex Applicability
Sex Evidence
Unspecific

Theoretically, DNA oxidation can occur in any cell type, in any organism. Oxidative DNA lesions have been measured in mammalian cells (human, mouse, calf, rat) in vitro and in vivo, and in prokaryotes.


Key Event Description

The nitrogenous bases of DNA are susceptible to oxidation in the presence of oxidizing agents. Oxidative adducts form mainly on C5 and to a lesser degree on C6 of thymine and cytosine, and on C8 of guanine and adenine. Guanine is most prone to oxidation due to its low oxidation potential (Jovanovic and Simic, 1986). Indeed, 8-oxo-2’-deoxyguanosine (8-oxodG)/8-Hydroxy-2’-deoxyguanosine (8-OHdG) is the most abundant and well-studied oxidative DNA lesion in the cell (Swenberg et al., 2011). Formamidopyrimidine lesions on guanine and adenine (FaPyG and FaPyA), 8-hydroxy-2'-deoxyadenine (8-oxodA), and thymidine glycol (Tg) are other common oxidative lesions. We refer the reader to reviews on this topic to see the full set of potential oxidative DNA lesions (Whitaker et al., 2017). Oxidative DNA lesions are present in the cell at steady state due to endogenous redox processes. Under normal conditions, cells are able to withstand the baseline level of oxidized bases through efficient repair and regulation of free radicals in the cell. However, direct chemical insult, or induction of ROS/NOS from reduction of endogenous molecules, as well as through release of inflammatory cell-derived oxidants, can lead to increased DNA oxidation. This KE describes an increase in oxidative lesions in the nuclear DNA above the steady state level. Oxidative DNA damage can occur in any cell type under oxidative stress.


How it is Measured or Detected

Relative Quantification of Oxidative DNA Lesions

  • Comet assay (single cell gel electrophoresis) with Fpg and hOGG1 modifications (Smith et al., 2006; Platel et al., 2011)
    • Oxoguanine glycosylase (hOGG1) and formamidopyrimidine-DNA glycosylase (Fpg) are base excision repair (BER) enzymes in eukaryotic and prokaryotic cells, respectively
    • Both enzymes are bi-functional; the glycosylase function cleaves the glycosidic bond between the ribose and the oxidized base, giving rise to an abasic site, and the apurinic/apymidinic (AP) site lyase function cleaves the phosphodiester bond via β-elimination reaction and creates a single strand break
    • Treatment of DNA with either enzyme prior to performing the electrophoresis step of the comet assay allows detection of oxidative lesions by measuring the increase in comet tail length when compared against untreated samples.
  • Enzyme-linked immunosorbant assay (ELISA) (Breton et al., 2003; Zhao et al.)
    • 8-oxodG can be detected using immunoassays, such as ELISA, that use antibodies against 8-oxodG lesions. It has been noted that immunodetection of 8-oxodG can be interfered by certain compounds in biological samples.

Absolute Quantification of Oxidative DNA Lesions

  • Quantification of 8-oxodG using HPLC-EC  (Breton et al., 2003; Chepelev et al., 2015)
    • 8-oxodG can be separated from digested DNA and precisely quantified using high performance liquid chromatography (HPLC) with electrochemical detection
  • Mass spectrometry LC-MRM/MS (Mangal et al., 2009)
    • Liquid chromatography can also be coupled with multiple reaction monitoring/ mass spectrometry to detect and quantify 8-oxodG. Correlation between 8-oxodG measured by hOGG1-modified comet assay and LC-MS has been reported

 

  • We note that other types of oxidative lesions can be quantified using the methods described above.

References

Breton J, Sichel F, Bainchini F, Prevost V. (2003). Measurement of 8-Hydroxy-2′-Deoxyguanosine by a Commercially Available ELISA Test: Comparison with HPLC/Electrochemical Detection in Calf Thymus DNA and Determination in Human Serum. Anal Lett 36:123-134.

Chepelev N, Kennedy D, Gagne R, White T, Long A, Yauk C, White P. (2015). HPLC Measurement of the DNA Oxidation Biomarker, 8-oxo-7,8-dihydro-2'-deoxyguanosine, in Cultured Cells and Animal Tissues. Journal of Visualized Experiments 102:e52697.

Jovanovic S, Simic M. (1986). One-electron redox potential of purines and pyrimidines. J Phys Chem 90:974-978.

Mangal D, Vudathala D, Park J, Lee S, Penning T, Blair I. (2009). Analysis of 7,8-Dihydro-8-oxo-2′-deoxyguanosine in Cellular DNA during Oxidative Stress. Chem Res Toxicol 22:788-797.

Platel A, Nesslany F, Gervais V, Claude N, Marzin D. (2011). Study of oxidative DNA damage in TK6 human lymphoblastoid cells by use of the thymidine kinase gene-mutation assay and the in vitro modified comet assay: Determination of No-Observed-Genotoxic-Effect-Levels. Mutat Res 726:151-159.

Smith C, O'Donovan M, Martin E. (2006). hOGG1 recognizes oxidative damage using the comet assay with greater specificity than FPG or ENDOIII. Mutagenesis 21:185-190.

Swenberg J, Lu K, Moeller B, Gao L, Upton P, Nakamura J, Starr T. (2011). Endogenous versus Exogenous DNA Adducts: Their Role in Carcinogenesis, Epidemiology, and Risk Assessment. Toxicol Sci 120:S130-S145.

Whitaker A, Schaich M, Smith MS, Flynn T, Freudenthal B. (2017). Base excision repair of oxidative DNA damage: from mechanism to disease. Front Biosci 22:1493-1522.

Zhao M, Howard E, Guo Z, Parris A, Yang X. (2017). p53 pathway determines the cellular response to alcohol-induced DNA damage in MCF-7 breast cancer cells. PLoS One 12:e0175121.


List of Key Events in the AOP

Event: 155: N/A, Inadequate DNA repair

Short Name: N/A, Inadequate DNA repair

Key Event Component

Process Object Action
DNA repair deoxyribonucleic acid functional change

Stressors

Name
Ionizing Radiation

Biological Context

Level of Biological Organization
Cellular

Domain of Applicability


Taxonomic Applicability
Term Scientific Term Evidence Links
mouse Mus musculus High NCBI
rat Rattus norvegicus Moderate NCBI
Syrian golden hamster Mesocricetus auratus Moderate NCBI
Homo sapiens Homo sapiens High NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Unspecific High

The retention of adducts has been directly measured in many different types of eukaryotic somatic cells (in vitro and in vivo). In male germ cells, work has been done on hamsters, rats and mice. The accumulation of mutation and changes in mutation spectrum has been measured in mice and human cells in culture. Theoretically, saturation of DNA repair occurs in every species (prokaryotic and eukaryotic). The principles of this work were established in prokaryotic models. Nagel et al. (2014) have produced an assay that directly measures DNA repair in human cells in culture.

NHEJ is primarily used by vertebrate multicellular eukaryotes, but it also been observed in plants. Furthermore, it has recently been discovered that some bacteria (Matthews et al., 2014) and yeast (Emerson et al., 2016) also use NHEJ. In terms of invertebrates, most lack the core DNA-PKcs and Artemis proteins; they accomplish end joining by using the RA50:MRE11:NBS1 complex (Chen et al., 2001).  HR occurs naturally in eukaryotes, bacteria, and some viruses (Bhatti et al., 2016).


Key Event Description

DNA lesions may result from the formation of DNA adducts (i.e., covalent modification of DNA by chemicals), or by the action of agents such as radiation that may produce strand breaks or modified nucleotides within the DNA molecule. These DNA lesions are repaired through several mechanistically distinct pathways that can be categorized as follows.

1) Damage reversal acts to reverse the damage without breaking any bonds within the sugar phosphate backbone of the DNA. The most prominent enzymes associated with damage reversal are photolyases (Sancar, 2003) that can repair UV dimers in some organisms, and O6-alkylguanine-DNA alkyltransferase (AGT) (Pegg 2011) and oxidative demethylases (Sundheim et al., 2008), which can repair some types of alkylated bases.

2) Excision repair involves the removal of a damaged nucleotide(s) through cleavage of the sugar phosphate backbone followed by re-synthesis of DNA within the resultant gap. Excision repair of DNA lesions can be mechanistically divided into base excision repair (BER) (Dianov and Hübscher, 2013), in which the damaged base is removed by a damage-specific glycosylase prior to incision of the phosphodiester backbone at the resulting abasic site, and nucleotide excision repair (NER) (Schärer, 2013), in which the DNA strand containing the damaged nucleotide is incised at sites several nucleotides 5’ and 3’ to the site of damage, and a polynucleotide containing the damaged nucleotide is removed prior to DNA resynthesis within the resultant gap. The major pathway that removes oxidative DNA damage is base excision repair (BER), which can be either monofunctional or bifunctional; in mammals, a specific DNA glycosylase (OGG1: 8-Oxoguanine glycosylase) is responsible for excision of 8-oxoguanine (8-oxoG) and other oxidative lesions (Hu et al., 2005; Scott et al., 2014; Whitaker et al., 2017). We note that long-patch BER is used for the repair of clustered oxidative lesions, which uses several enzymes from DNA replication pathways (Klungland and Lindahl, 1997). These pathways are described in detail in various reviews e.g., (Whitaker et al., 2017). A third form of excision repair is mismatch repair (MMR), which does not act on DNA lesions but does recognize mispaired bases resulting from replication errors. In MMR the strand containing the misincorporated base is removed prior to DNA resynthesis. The major pathway that removes oxidative DNA damage is base excision repair (BER), which can be either monofunctional or bifunctional ; in mammals, a specific DNA glycosylase (OGG1: 8-Oxoguanine glycosylase) is responsible for excision of 8-oxoguanine (8-oxoG) and other oxidative lesions (Hu et al., 2005; Scott et al., 2014; Whitaker et al., 2017). We note that long-patch BER is used for the repair of clustered oxidative lesions, which uses several enzymes from DNA replication pathways (Klungland and Lindahl, 1997). These pathways are described in detail in various reviews (e.g., (Whitaker et al., 2017)).

3) Double strand break repair (DSBR) is necessary to preserve genomic integrity when breaks occur in both strands of a DNA molecule. There are two major pathways for DSBR: homologous recombination (HR), which operates primarily during S phase in dividing cells, and nonhomologous end joining (NHEJ), which can function in both dividing and non-dividing cells (Teruaki Iyama and David M. Wilson III, 2013).

Activation of mutagenic DNA repair pathways to withstand cellular or replication stress either from endogenous or exogenous sources can promote cellular viability, albeit at a cost of increased genome instability and mutagenesis (Fitzgerald et al., 2017). These salvage DNA repair pathways including, Break-induced Replication (BIR) and Microhomology-mediated Break-induced Replication (MMBIR). BIR repairs one-ended DSBs and has been extensively studied in yeast as well as in mammalian systems. BIR and MMBIR are linked with heightened levels of mutagenesis, chromosomal rearrangements and ensuing genome instability (Deem et al., 2011; Sakofsky et al., 2015; Saini et al., 2017; Kramara et al., 2018). In mammalian genomes BIR-like synthesis has been proposed to be involved in late stage Mitotic DNA Synthesis (MiDAS) that predominantly occurs at so-called Common Fragile Sites (CFSs) and maintains telomere length under s conditions of replication stress that serve to promote cell viability (Minocherhomji et al., 2015; Bhowmick et al., 2016; Dilley et al., 2016).       

DSB Repair

In higher eukaryotes such as mammals, NHEJ is usually the preferred pathway for DNA DSBR. Its use, however, is dependent on the cell type, the gene locus, and the nuclease platform (Miyaoka et al., 2016). The use of NHEJ is also dependent on the cell cycle; NHEJ is generally not the pathway of choice when the cell is in the late S or G2 phase of the cell cycle, or in mitotic cells when the sister chromatid is directly adjacent to the double-strand break (DSB) (Lieber et al., 2003). In these cases, the HR pathway is commonly used for repair of DSBs. Despite this, NHEJ is still used more commonly than HR in human cells. Classical NHEJ (C-NHEJ) is the most common NHEJ repair mechanism, but alternative NHEJ (alt-NHEJ) can also occur, especially in the absence of C-NHEJ and HR.

 

The process of C-NHEJ in humans requires at least seven core proteins: Ku70, Ku86, DNA-dependent protein kinase complex (DNA-PKcs ), Artemis, X-ray cross-complementing protein 4 (XRCC4), XRCC4-like factor (XLF), and DNA ligase IV (Boboila et al., 2012). When DSBs occur, the Ku proteins, which have a high affinity for DNA ends, will bind to the break site and form a heterodimer. This protects the DNA from exonucleolytic attack and acts to recruit DNA-PKcs, thus forming a trimeric complex on the ends of the DNA strands. The kinase activity of DNA-PKcs is then triggered, causing DNA-PKcs to auto-phosphorylate and thereby lose its kinase activity; the now phosphorylated DNA-PKcs dissociates from the DNA-bound Ku proteins. The free DNA-PKcs phosphorylates Artemis, an enzyme that possesses 5’-3’ exonuclease and endonuclease activity in the presence of DNA-PKcs and ATP. Artemis is responsible for ‘cleaning up’ the ends of the DNA. For 5’ overhangs, Artemis nicks the overhang, generally leaving a blunt duplex end. For 3’ overhangs, Artemis will often leave a four- or five-nucleotide single stranded overhang (Pardo et al., 2009; Fattah et al., 2010; Lieber et al., 2010). Next, the XLF and XRCC4 proteins form a complex which makes a channel to bind DNA and aligns the ends for efficient ligation via DNA ligase IV (Hammel et al., 2011).

 

The process of alt-NHEJ is less well understood than C-NHEJ.  Alt-NHEJ is known to involve slightly different core proteins than C-NHEJ, but the steps of the pathway are essentially the same between the two processes (reviewed in Chiruvella et al., 2013). It is established, however, that alt-NHEJ is more error-prone in nature than C-NHEJ, which contributes to incorrect DNA repair. Alt-NHEJ is thus considered primarily to be a backup repair mechanism (reviewed in Chiruvella et al., 2013).

 

In contrast to NHEJ, HR takes advantage of similar or identical DNA sequences to repair DSBs (Sung and Klein, 2006). The initiating step of HR is the creation of a 3’ single strand DNA (ss-DNA) overhang. Combinases such as RecA and Rad51 then bind to the ss-DNA overhang, and other accessory factors, including Rad54, help recognize and invade the homologous region on another DNA strand. From there, DNA polymerases are able to elongate the 3’ invading single strand and resynthesize the broken DNA strand using the corresponding sequence on the homologous strand.

Fidelity of DNA Repair


Most DNA repair pathways are extremely efficient. However, in principal, all DNA repair pathways can be overwhelmed when the DNA lesion burden exceeds the capacity of a given DNA repair pathway to recognize and remove the lesion. Exceeded repair capacity may lead to toxicity or mutagenesis following DNA damage. Apart from extremely high DNA lesion burden, inadequate repair may arise through several different specific mechanisms. For example, during repair of DNA containing O6-alkylguanine adducts, AGT irreversibly binds a single O6-alkylguanine lesion and as a result is inactivated (this is termed suicide inactivation, as its own action causes it to become inactivated). Thus, the capacity of AGT to carry out alkylation repair can become rapidly saturated when the DNA repair rate exceeds the de novo synthesis of AGT (Pegg, 2011).

A second mechanism relates to cell specific differences in the cellular levels or activity of some DNA repair proteins. For example, XPA is an essential component of the NER complex. The level of XPA that is active in NER is low in the testes, which may reduce the efficiency of NER in testes as compared to other tissues (Köberle et al., 1999). Likewise, both NER and BER have been reported to be deficient in cells lacking functional p53 (Adimoolam and Ford, 2003; Hanawalt et al., 2003; Seo and Jung, 2004). A third mechanism relates to the importance of the DNA sequence context of a lesion in its recognition by DNA repair enzymes. For example, 8-oxoguanine (8-oxoG) is repaired primarily by BER; the lesion is initially acted upon by a bifunctional glycosylase, OGG1, which carries out the initial damage recognition and excision steps of 8-oxoG repair. However, the rate of excision of 8-oxoG is modulated strongly by both chromatin components (Menoni et al., 2012) and DNA sequence context (Allgayer et al., 2013) leading to significant differences in the repair of lesions situated in different chromosomal locations.

DNA repair is also remarkably error-free. However, misrepair can arise during repair under some circumstances. DSBR is notably error prone, particularly when breaks are processed through NHEJ, during which partial loss of genome information is common at the site of the double strand break (Iyama and Wilson, 2013). This is because NHEJ rejoins broken DNA ends without the use of extensive homology; instead, it uses the microhomology present between the two ends of the DNA strand break to ligate the strand back into one. When the overhangs are not compatible, however, indels (insertion or deletion events), duplications, translocations, and inversions in the DNA can occur. These changes in the DNA may lead to significant issues within the cell, including alterations in the gene determinants for cellular fatality (Moore et al., 1996).

 

Misrepair may also occur through other repair pathways. Excision repair pathways require the resynthesis of DNA and rare DNA polymerase errors during gap resynthesis will result in mutations (Brown et al., 2011). Errors may also arise during gap resynthesis when the strand that is being used as a template for DNA synthesis contains DNA lesions (Kozmin and Jinks-Robertson, 2013). In addition, it has been shown that sequences that contain tandemly repeated sequences, such as CAG triplet repeats, are subject to expansion during gap resynthesis that occurs during BER of 8-oxoG damage (Liu et al., 2009).


How it is Measured or Detected

There is no test guideline for this event. The event is usually inferred from measuring the retention of DNA adducts or the creation of mutations as a measure of lack of repair or incorrect repair. These ‘indirect’ measures of its occurrence are crucial to determining the mechanisms of genotoxic chemicals and for regulatory applications (i.e., determining the best approach for deriving a point of departure). More recently, a fluorescence-based multiplex flow-cytometric host cell reactivation assay (FM-HCR) has been developed to directly measures the ability of human cells to repair plasmid reporters (Nagel et al., 2014).

Indirect Measurement

In somatic and spermatogenic cells, measurement of DNA repair is usually inferred by measuring DNA adduct formation/removal. Insufficient repair is inferred from the retention of adducts and from increasing adduct formation with dose. Insufficient DNA repair is also measured by the formation of increased numbers of mutations and alterations in mutation spectrum. The methods will be specific to the type of DNA adduct that is under study.

Some EXAMPLES are given below for alkylated DNA.

DOSE-RESPONSE CURVE FOR ALKYL ADDUCTS/MUTATIONS: It is important to consider that some adducts are not mutagenic at all because they are very effectively repaired. Others are effectively repaired, but if these repair processes become overwhelmed mutations begin to occur. The relationship between exposure to mutagenic agents and the presence of adducts (determined as adducts per nucleotide) provide an indication of whether the removal of adducts occurs, and whether it is more efficient at low doses. A sub-linear DNA adduct curve suggests that less effective repair occurs at higher doses (i.e., repair processes are becoming saturated). A sub-linear shape for the dose-response curves for mutation induction is also suggestive of repair of adducts at low doses, followed by saturation of repair at higher doses. Measurement of a clear point of inflection in the dose-response curve for mutations suggests that repair does occur, at least to some extent, but reduced repair efficiency arises above the breakpoint. A lack of increase in mutation frequencies (i.e., flat line for dose-response) for a compound showing a dose-dependent increase in adducts would imply that the adducts formed are either not mutagenic or are effectively repaired.

RETENTION OF ALKYL ADDUCTS: Alkylated DNA can be found in cells long after exposure has occurred. This indicates that repair has not effectively removed the adducts. For example, DNA adducts have been measured in hamster and rat spermatogonia several days following exposure to alkylating agents, indicating lack of repair (Seiler et al., 1997; Scherer et al., 1987).

MUTATION SPECTRUM: Shifts in mutation spectrum (i.e., the specific changes in the DNA sequence) following a chemical exposure (relative to non-exposed mutation spectrum) indicates that repair was not operating effectively to remove specific types of lesions. The shift in mutation spectrum is indicative of the types of DNA lesions (target nucleotides and DNA sequence context) that were not repaired. For example, if a greater proportion of mutations occur at guanine nucleotides in exposed cells, it can be assumed that the chemical causes DNA adducts on guanine that are not effectively repaired.


Direct Measurement

Nagel et al. (2014) we developed a fluorescence-based multiplex flow-cytometric host cell reactivation assay (FM-HCR) to measures the ability of human cells to repair plasmid reporters. These reporters contain different types and amounts of DNA damage and can be used to measure repair through by NER, MMR, BER, NHEJ, HR and MGMT.

Please refer to the table below for additional details and methodologies for detecting DNA damage and repair.

Assay Name References Description DNA Damage/Repair Being Measured OECD Approved Assay
Dose-Response Curve for Alkyl Adducts/ Mutations

Lutz 1991

 

Clewell 2016

Creation of a curve plotting the stressor dose and the abundance of adducts/mutations; Characteristics of the resulting curve can provide information on the efficiency of DNA repair

Alkylation,

oxidative damage, or DSBs

N/A
Retention of Alkyl Adducts

Seiler 1997

 

Scherer 1987

Examination of DNA for alkylation after exposure to an alkylating agent; Presence of alkylation suggests a lack of repair Alkylation N/A
Mutation Spectrum Wyrick 2015 Shifts in the mutation spectrum after exposure to a chemical/mutagen relative to an unexposed subject can provide an indication of DNA repair efficiency, and can inform as to the type of DNA lesions present

Alkylation,

oxidative damage, or DSBs

N/A
DSB Repair Assay (Reporter constructs) Mao et al., 2011 Transfection of a GFP reporter construct (and DsRed control) where the GFP signal is only detected if the DSB is repaired; GFP signal  is quantified using fluorescence microscopy or flow cytometry DSBs N/A
Primary Rat Hepatocyte DNA Repair Assay

Jeffrey and Williams, 2000

 

Butterworth et al., 1987

Rat primary hepatocytes are cultured with a 3H-thymidine solution in order to measure DNA synthesis in response to a stressor in non-replicating cells; Autoradiography is used to measure the amount of 3H incorporated in the DNA post-repair Unscheduled DNA synthesis in response to DNA damage N/A
Repair synthesis measurement by 3H-thymine incorporation Iyama and Wilson, 2013 Measure DNA synthesis in non-dividing cells as indication of gap filling during excision repair Excision repair N/A
Comet Assay with Time-Course

Olive et al., 1990

 

Trucco et al., 1998

Comet assay is performed with a time-course; Quantity of DNA in the tail should decrease as DNA repair progresses DSBs  Yes (No. 489)
Pulsed Field Gel Electro-phoresis (PFGE) with Time-Course Biedermann et al., 1991 PFGE assay with a time-course; Quantity of small DNA fragments should decrease as DNA repair  progresses DSBs N/A

Fluorescence -Based Multiplex Flow-Cytometric Host Reactivation Assay

(FM-HCR)

Nagel 2008 Measures the ability of human cells to repair plasma reporters, which contain different types and amounts of DNA damage; Used to measure repair processes including HR, NHEJ, BER, NER, MMR, and MGMT HR, NHEJ, BER, NER, MMR, or MGMT N/A

 


References

Adimoolam, S. and J.M. Ford (2003), "p53 and regulation of DNA damage recognition during nucleotide excision repair" DNA Repair (Amst), 2(9): 947-54.

Allgayer, J., N. Kitsera, C. von der Lippen, B. Epe and A. Khobta (2013), "Modulation of base excision repair of 8-oxoguanine by the nucleotide sequence", Nucleic Acids Res., 41(18): 8559-8571.

Beranek, D.T. (1990), "Distribution of methyl and ethyl adducts following alkylation with monofunctional alkylating agents", Mutation Research, 231(1): 11-30.

Bhatti, A. et al., (2016), Homologous Recombination Biology. Encyclopedia Britannica.

Bhowmick, R., S. Minocherhomji, and I.D. Hickson (2016), "RAD52 Facilitates Mitotic DNA Synthesis Following Replication Stress", Mol Cell, 64:1117-1126.

Biedermann, A. K. et al., (1991), SCID mutation in mice confers hypersensitivity to ionizing radiation and a deficiency in DNA double-strand break repair. Cell Biology. 88(4): 1394-7. Doi: 10.1073/pnas.88.4.1394.

Boboila, C., F. W. Alt & B. Schwer, (2012), Classical and alternative end-joining pathways for repair of lymphocyte-specific and general DNA double-strand breaks. Adv Immunol. 116, 1-49. doi:10.1016/B978-0-12-394300-2.00001-6

Bronstein, S.M., J.E. Cochrane, T.R. Craft, J.A. Swenberg and T.R. Skopek (1991), "Toxicity, mutagenicity, and mutational spectra of N-ethyl-N-nitrosourea in human cell lines with different DNA repair phenotypes", Cancer Research, 51(!9): 5188-5197.

Bronstein, S.M., T.R. Skopek and J.A. Swenberg (1992), "Efficient repair of O6-ethylguanine, but not O4-ethylthymine or O2-ethylthymine, is dependent upon O6-alkylguanine-DNA alkyltransferase and nucleotide excision repair activities in human cells", Cancer Research, 52(7): 2008-2011.

Brown, J.A., L.R. Pack, L.E. Sanman and Z. Suo (2011), "Efficiency and fidelity of human DNA polymerases λ and β during gap-filling DNA synthesis", DNA Repair (Amst)., 10(1):24-33.

Butterworth, E. B. et al., (1987), A protocol and guide for the in vitro rat hepatocyte DNA-repair assay. Mutation Research. 189, 113-21. Doi: 10.1016/0165-1218(87)90017-6.

Chen, L. et al., (2001), Promotion of DNA ligase IV-catalyzed DNA end-joining by the Rad50/Mre11/Xrs2 and Hdf1/Hdf2 complexes. Mol Cell. 8(5), 1105-15.

Chiruvella, K. K., Z. Liang & T. E. Wilson, (2013), Repair of Double-Strand Breaks by End Joining. Cold Spring Harbor Perspectives in Biology, 5(5):127-57. Doi: 10.1101/cshperspect.a012757.

Deem, A., A. Keszthelyi, T. Blackgrove, A. Vayl, B. Coffey, R. Mathur, A. Chabes, and A. Malkova (2011), "Break-Induced Replication Is Highly Inaccurate", PLoS Biol, 9:e1000594.

Dianov, G.L. and U. Hübscher (2013), "Mammalian base excision repair: the forgotten archangel", Nucleic Acids Res., 41(6):3483-90.

Dilley, R.L., P. Verma, N.W. Cho, H.D. Winters, A.R. Wondisford, and R.A. Greenberg (2016), "Break-induced telomere synthesis underlies alternative telomere maintenance", Nature, 539:54-58.

Douglas, G.R., J. Jiao, J.D. Gingerich, J.A. Gossen and L.M. Soper (1995), "Temporal and molecular characteristics of mutations induced by ethylnitrosourea in germ cells isolated from seminiferous tubules and in spermatozoa of lacZ transgenic mice", Proceedings of the National Academy of Sciences of the United States of America, 92(16):7485-7489.

Fattah, F. et al., (2010), Ku regulates the non-homologous end joining pathway choice of DNA double-strand break repair in human somatic cells. PLoS Genet, 6(2), doi:10.1371/journal.pgen.1000855

Fitzgerald, D.M., P.J. Hastings, and S.M. Rosenberg (2017), "Stress-Induced Mutagenesis: Implications in Cancer and Drug Resistance", Ann Rev Cancer Biol, 1:119-140.

Hammel, M. et al., (2011), XRCC4 protein interactions with XRCC4-like factor (XLF) create an extended grooved scaffold for DNA ligation and double strand break repair. J Biol Chem, 286(37), 32638-32650. doi:10.1074/jbc.M111.272641.

Hanawalt, P.C., J.M. Ford and D.R. Lloyd (2003), "Functional characterization of global genomic DNA repair and its implications for cancer", Mutation Research, 544(2-3): 107–114.

Harbach, P. R. et al., (1989), The in vitro unscheduled DNA synthesis (UDS) assay in rat primary hepatocytes. Mutation Research. 216(2):101-10. Doi:10.1016/0165-1161(89)90010-1.

Iyama, T. and D.M. Wilson III (2013), "DNA repair mechanisms in dividing and non-dividing cells", DNA Repair, 12(8): 620– 636.

Jeffrey, M. A., M. G. Williams, (2000), Lack of DNA-damaging Activity of Five Non-nutritive Sweeteners in the Rat Hepatocyte/DNA Repair Assay. Food and Chemical Toxicology. 38: 335-338. Doi: 10.1016/S0278-6915(99)00163-5.

Köberle, B., J.R. Masters, J.A. Hartley and R.D. Wood (1999), "Defective repair of cisplatin-induced DNA damage caused by reduced XPA protein in testicular germ cell tumours", Curr. Biol., 9(5):273-6.

Kozmin, S.G. and S. Jinks-Robertson S. 2013. The mechanism of nucleotide excision repair-mediated UV-induced mutagenesis in nonproliferating cells. Genetics. 193(3): 803-17.

Kramara, J., B. Osia, and A. Malkova (2018), "Break-Induced Replication: The Where, The Why, and The How", Trends Genet, 34:518-531.

Lieber, M. R., (2010), The mechanism of double-strand DNA break repair by the nonhomologous DNA end-joining pathway. Annu Rev Biochem. 79:181-211. doi:10.1146/annurev.biochem.052308.093131.

Lieber, M. R. et al., (2003), Mechanism and regulation of human non-homologous DNA end-joining. Nat Rev Mol Cell Biol. 4(9):712-720. doi:10.1038/nrm1202.

Liu, Y., R. Prasad, W.A. Beard, E.W. Hou, J.K. Horton, C.T. McMurray and S.H. Wilson (2009), "Coordination between polymerase beta and FEN1 can modulate CAG repeat expansion", J. Biol. Chem., 284(41): 28352-28366.

Mao, Z. et al., (2011), SIRT6 promotes DNA repair under stress by activating PARP1. Science. 332(6036): 1443-1446. doi:10.1126/science.1202723.

Matthews, L. A., & L. A. Simmons, (2014), Bacterial nonhomologous end joining requires teamwork. J Bacteriol. 196(19): 3363-3365. doi:10.1128/JB.02042-14.

Menoni, H., M.S. Shukla, V. Gerson, S. Dimitrov and D. Angelov (2012), "Base excision repair of 8-oxoG in dinucleosomes", Nucleic Acids Res. , 40(2): 692-700.

Minocherhomji, S., S. Ying, V.A. Bjerregaard, S. Bursomanno, A. Aleliunaite, W. Wu, H.W. Mankouri, H. Shen, Y. Liu, and I.D. Hickson (2015), "Replication stress activates DNA repair synthesis in mitosis", Nature, 528:286-290.

Miyaoka, Y. et al., (2016), Systematic quantification of HDR and NHEJ reveals effects of locus, nuclease, and cell type on genome-editing. Sci Rep, 6, 23549. doi:10.1038/srep23549/.

Moore, J. K., & J. E. Haber, (1996), Cell cycle and genetic requirements of two pathways of nonhomologous end-joining repair of double-strand breaks in Saccharomyces cerevisiae. Molecular and Cellular Biology. 16(5), 2164–73. Doi: 10.1128/MCB.16.5.2164.

Nagel, Z.D., C.M. Margulies, I.A. Chaim, S.K. McRee, P. Mazzucato, A.A. Ahmad, R.P. Abo, V.L. Butty, A.L. Forget and L.D. Samson (2014), "Multiplexed DNA repair assays for multiple lesions and multiple doses via transcription inhibition and transcriptional mutagenesis", Proc. Natl. Acad. Sci. USA. 111(18):E1823-32.

O’Brien, J.M., M. Walker, A. Sivathayalan, G.R. Douglas, C.L. Yauk, and F. Marchetti (2015), "Sublinear response in lacZ mutant frequency of Muta™ Mouse spermatogonial stem cells after low dose subchronic exposure to N-ethyl-N-nitrosourea", Environ. Mol. Mutagen., 56(4): 347-55.

Olive, L. P., J. P. Bnath & E. R. Durand, (1990), Heterogeneity in Radiation-Induced DNA Damage and Repairing Tumor and Normal Cells Measured Using the "Comet" Assay. Radiation Research. 122: 86-94.

Pardo, B., B. Gomez-Gonzalez & A. Aguilera, (2009), DNA repair in mammalian cells: DNA double-strand break repair: how to fix a broken relationship. Cell Mol Life Sci, 66(6), 1039-1056. doi:10.1007/s00018-009-8740-3.

Pegg, A.E. (2011), "Multifaceted roles of alkyltransferase and related proteins in DNA repair, DNA damage, resistance to chemotherapy, and research tools", Chem. Res. Toxicol., 4(5): 618-39.

Sancar, A. (2003), "Structure and function of DNA photolyase and cryptochrome blue-light photoreceptors", Chem Rev., 103(6): 2203-37.

Saini, N., S. Ramakrishnan, R. Elango, S. Ayyar, Y. Zhang, A. Deem, G. Ira, J. Haber, K.S. Lobachev, and A. Malkova (2017), "Migrating bubble during break-induced replication drives conservative DNA synthesis", Nature, 502:389-392.

Sakofsky, C.J., S. Ayyar, A. Deem, W.H. Chung, G. Ira, and A. Malkova (2015), "Translesion Polymerases Drive Microhomology-Mediated Break-Induced Replication Leading to Complex Chromosomal Rearrangements", Mol Cell, 60:860-872.

Schärer, O.D. (2013), "Nucleotide excision repair in eukaryotes", Cold Spring Harb. Perspect. Biol., 5(10): a012609.

Scherer, E., A.A. Jenner and L. den Engelse (1987), "Immunocytochemical studies on the formation and repair of O6-alkylguanine in rat tissues", IARC Sci Publ., 84: 55-8.

Seiler, F., K. Kamino, M. Emura, U. Mohr and J. Thomale (1997), "Formation and persistence of the miscoding DNA alkylation product O6-ethylguanine in male germ cells of the hamster", Mutat Res., 385(3): 205-211.

Shelby, M.D. and K.R. Tindall (1997), "Mammalian germ cell mutagenicity of ENU, IPMS and MMS, chemicals selected for a transgenic mouse collaborative study", Mutation Research, 388(2-3): 99-109.

Seo, Y.R. and H.J. Jung (2004), "The potential roles of p53 tumor suppressor in nucleotide excision repair (NER) and base excision repair (BER)", Exp. Mol. Med., 36(6): 505-509.

Sundheim, O., V.A. Talstad, C.B. Vågbø, G. Slupphaug and H.E. Krokan (2008), "AlkB demethylases flip out in different ways", DNA Repair (Amst)., 7(11): 1916-1923.

Sung, P., & H. Klein, (2006), Mechanism of homologous recombination: mediators and helicases take on regulatory functions. Nat Rev Mol Cell Biol, 7(10), 739-750. doi:10. 1038/nrm2008.

Trucco, C., et al., (1998), DNA repair defect i poly(ADP-ribose) polymerase-deficient cell lines. Nucleic Acids Research. 26(11): 2644–2649.

Wyrick, J.J. & S. A. Roberts, (2015), Genomic approaches to DNA repair and mutagenesis. DNA Repair (Amst). Dec;36:146-155. doi: 10.1016/j.dnarep.2015.09.018. Epub 2015, Sep 15.

van Zeeland, A.A., A. de Groot and A. Neuhäuser-Klaus (1990), "DNA adduct formation in mouse testis by ethylating agents: a comparison with germ-cell mutagenesis", Mutat. Res., 231(1): 55-62.


Event: 1635: Increase, DNA strand breaks

Short Name: Increase, DNA strand breaks

Stressors

Name
Ionizing Radiation
Topoisomerase inhibitors
Radiomimetic compounds

Biological Context

Level of Biological Organization
Molecular

Domain of Applicability


Taxonomic Applicability
Term Scientific Term Evidence Links
human and other cells in culture human and other cells in culture NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Unspecific High

DNA strand breaks can occur in any eukaryotic or prokaryotic cell.


Key Event Description

DNA strand breaks can occur on a single strand (SSB) or both strands (double strand breaks; DSB). SSBs arise when the phosphate backbone connecting adjacent nucleotides in DNA is broken on one strand. DSBs are generated when both strands are simultaneously broken at sites that are sufficiently close to one another that base-pairing and chromatin structure are insufficient to keep the two DNA ends juxtaposed. As a consequence, the two DNA ends generated by a DSB can physically dissociate from one another, becoming difficult to repair and increasing the chance of inappropriate recombination with other sites in the genome (Jackson, 2002). SSB can turn into DSB if the replication fork stalls at the lesion leading to fork collapse.

Strand breaks are intermediates in various biological events, including DNA repair (e.g., excision repair), V(D)J recombination in developing lymphoid cells and chromatin remodeling in both somatic cells and germ cells.

DSBs are of particular concern, as they are considered the most lethal and deleterious type of DNA lesion. If misrepaired or left unrepaired, DSBs may drive the cell towards genomic instability, apoptosis or tumorigenesis (Beir, 1999).


How it is Measured or Detected

  • Comet Assay (Single cell gel electrophoresis) 
    • There are two variations of the comet assay for measuring DNA strand breaks
    • Alkaline comet assay (pH >13) (Platel et al., 2011; Nikolova et al., 2017)
      • OECD test guideline for in vivo mammalian alkaline comet assay (#489) is available (OECD, 2014)
      • Detects SSB and DSB resulting from direct-acting genotoxicants, alkali labile sites, or strand breaks that are intermediates of DNA excision repair (OECD, 2014)
    • Neutral comet assay (Anderson and Laubenthal, 2013; Nikolova et al., 2017)
      • Electrophoresis is performed in neutral pH and DNA is not denatured – mostly detects DSB
  • γH2AX foci detection (Detects DSB)

Phosphorylation of histone H2AX (γH2AX) at serine 139 is an early response to DSB; it causes chromatin decondensation and plays a critical role in recruiting repair machineries to the site of damage (Rogakou et al., 1998). γH2AX foci can be detected by immunostaining on several platforms:

  • Flow cytometry (Bryce et al., 2016); γH2AX foci counting can be high-throughput and automated using flow cytometry-based immunodetection. 
  • Fluorescent microscopy (Garcia-Canton et al., 2013; Khoury et al., 2013); γH2AX foci can be counted in fluorescent microscope images. Image acquisition and foci count can be automated to increase the assay throughput
    • In-Cell Western technique (Khoury et al., 2013; Khoury et al., 2016) combines the principles of Western blotting (e.g., "blocking" to prevent non-specific antibody binding) and fluorescent microscopy for immunodetection of γH2AX foci.
  • Western blotting (Revet et al., 2011); this method does not provide a quantitative measurement of γH2AX foci and is no longer commonly applied in screening for γH2AX induction.
  • Pulsed field gel electrophoresis (detects DSB) (Kawashima et al., 2017)
    • Cells are embedded and lysed in agarose and fractionated by electrophoresis
    • The length of fragments can be determined by running a DNA ladder in the adjacent lane
  • The TUNEL (Terminal deoxynucleotidyl transferase dUTP nick end labeling) assay
    • Terminal deoxynucleotidyl transferase (TdT) is a DNA polymerase that adds deoxynucleotides to the 3’OH end of DNA strand breaks without the need for a template strand. The dUTPs incorporated at the sites of strand breaks are tagged with a fluorescent dye or a reporter enzyme to allow visualization (Loo, 2011).
    • We note that this method is typically used to measure apoptosis.

When measuring these events, it is important to distinguish between breaks that may lead to mutation or chromosomal aberrations, and those that are associated with cell death processes.

Please refer to the table below for details regarding these and other methodologies for detecting DNA DSBs.

Assay Name References Description OECD Approved Assay
Comet Assay (Single Cell Gel Eletrophoresis - Alkaline) Collins, 2004; Olive and Banath, 2006; Platel et al., 2011; Nikolova et al., 2017 To detect SSBs or DSBs, single cells are encapsulated in agarose on a slide, lysed, and subjected to gel electrophoresis at an alkaline pH (pH >13); DNA fragments are forced to move, forming a "comet"-like appearance Yes (No. 489)
Comet Assay (Single Cell Gel Eltrophoresis - Neutral) Collins, 2014; Olive and Banath, 2006; Anderson and Laubenthal, 2013; Nikolova et al., 2017 To detect DSBs, single cells are encapsulated in agarose on a slide, lysed, and subjected to gel electrophoresis at a neutral pH; DNA fragments, which are not denatured at the neutral pH,  are forced to move, forming a "comet"-like appearance N/A
γ-H2AX Foci Quantification - Flow Cytometry

Rothkamm and Horn, 2009; Bryce et al., 2016

Measurement of γ-H2AX immunostaining in cells by flow cytometry, normalized to total levels of H2AX N/A
γ-H2AX Foci Quantification - Western Blot

Burma et al., 2001; Revet et al., 2011

Measurement of γ-H2AX immunostaining in cells by  Western blotting, normalized to total levels of H2AX N/A
γ-H2AX Foci Quantification - Microscopy

Redon et al., 2010; Mah et al., 2010; Garcia-Canton et al., 2013

Quantification of γ-H2AX immunostaining by counting γ-H2AX foci visualized with a microscope N/A
γ-H2AX Foci Quantification - ELISA Ji et al., 2017 Measurement of γ-H2AX in cells by ELISA, normalized to total levels of H2AX N/A
Pulsed Field Gel Electrophoresis (PFGE)

Ager et al., 1990; Gardiner et al., 1985; Herschleb et al., 2007; Kawashima et al., 2017

To detect DSBs, cells are embedded and lysed in agarose, and the released DNA undergoes gel electrophoresis in which the direction of the voltage is periodically alternated; Large DNA fragments are thus able to be  separated by size N/A
The TUNEL (Terminal Deoxynucleotidyl Transferase dUTP Nick End Labeling) Assay Loo, 2011 To detect strand breaks, dUTPs added to the 3’OH end of a strand break by the DNA polymerase terminal deoxynucleotidyl transferase (TdT) are tagged with a fluorescent dye or a reporter enzyme to allow visualization N/A
In Vitro DNA Cleavage Assays using Topoisomerase Nitiss, 2012 Cleavage of DNA can be achieved using purified topoisomerase; DNA strand breaks can then be separated and quantified using gel electrophoresis N/A

 


References

Ager, D. D. et al. (1990), Measurement of Radiation-Induced DNA Double-Strand Breaks by Pulsed-Field Gel Electrophoresis. Radiat. Res. 122(2), 181-7.

Anderson D, Laubenthal J. (2013). Analysis of DNA Damage via Single-Cell Electrophoresis. In: Makovets S, editor. DNA Electrophoresis. Totowa, NJ: Humana Press. p 209-218.

Bryce S, Bernacki D, Bemis J, Dertinger S. (2016). Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach. Environ Mol Mutagen 57:171-189.

Burma, S. et al., (2001), ATM phosphorylates histone H2AX in response to DNA double-strand breaks. J Biol Chem, 276(45): 42462-42467. doi:10.1074/jbc.C100466200

Charlton, E. D., §. H. Nikjoo & §. Humm, (1989), Calculation of Initial Yields of Single and Double Stranded Breaks in Cell Nuclei from Electrons, Protons, and Alpha Particles. Int. J. Radiat. Biol. 56(1): 1-19. doi: 10.1080/09553008914551141.

Collins, R. A., (2004), The Comet Assay for DNA Damage and Repair. Molecular Biotechnology. 26(3): 249-61. doi:10.1385/MB:26:3:249

Garcia-Canton C, Anadon A, Meredith C. (2013). Assessment of the in vitro p-H2AX assay by High Content Screening asa novel genotoxicity test. Mutat Res 757:158-166.

Gardiner, K., W. Laas, W. & D. Patterson, (1986). Fractionation of Large Mammalian DNA Restriction Fragments Using Vertical Pulsed-Field Gradient Gel Electrophoresis. Somatic Cell and Molecular Genetics. 12(2): 185-95.

Herschleb, J., G. Ananiev & D. C. Schwartz, (2007). Pulsed-field gel electrophoresis. Nat Protoc. 2(3): 677-684. doi:10.1038/nprot.2007.94

Iliakis, G., T. Murmann & A. Soni, (2015), Alternative End-Joining Repair Pathways Are the Ultimate Backup for Abrogated Classical Non-Homologous End-Joining and Homologous Recombination Repair: Implications for the Formation of Chromosome Translocations. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 2(3): 677-84. doi: 10.1038/nprot.2007.94

Jackson, S., (2002), Sensing and repairing DNA double-strand breaks. Carcinogenesis 23:687-696. Doi:10.1093/carcin/23.5.687.

Ji, J. et al., (2017), Phosphorylated fraction of H2AX as a measurement for DNA damage in cancer cells and potential applications of a novel assay. PLoS One. 12(2): e0171582. doi:10.1371/journal.pone.0171582

Kawashima Y, Yamaguchi N, Teshima R, Narahara H, Yamaoka Y, Anai H, Nishida Y, Hanada K. (2017). Detection of DNA double-strand breaks by pulsed-field gel electrophoresis. Genes Cells 22:84-93.

Khoury, L., Zalko, D., Audebert, M. (2013), Validation of high-throughput genotoxicity assay screening using cH2AX in-cell Western assay on HepG2 cells, Environ Mol Mutagen, 54:737-746.

Khoury, L., Zalko, D., Audebert, M. (2016), Evaluation of four human cell lines with distinct biotransformation properties for genotoxic screening, Mutagenesis, 31:83-96.

Loo DT. (2011). In Situ Detection of Apoptosis by the TUNEL Assay: An Overview of Techniques. In: Didenko V, editor. DNA Damage Detection In Situ, Ex Vivo, and In Vivo. Totowa, NJ: Humana Press. p 3-13.

Mah, L. J. et al., (2010), Quantification of gammaH2AX foci in response to ionising radiation. J Vis Exp(38). doi:10.3791/1957

Nikolova, T., F. Marini & B. Kaina, (2017). Genotoxicity testing: Comparison of the γH2AX focus assay with the alkaline and neutral comet assays. Mutat Res 822:10-18.

Nitiss, J. L., et al., (2012), Topoisomerase assays. Curr Protoc Pharmacol Chapter 3: Unit 3 3.

OECD. (2014). Test No. 489: In vivo mammalian alkaline comet assay. OECD Guideline for the Testing of Chemicals, Section 4 .

Olive, P. L., & J. P. Banáth, (2006), The comet assay: a method to measure DNA damage in individual cells. Nature Protocols. 1(1): 23-29. doi:10.1038/nprot.2006.5

Platel A, Nesslany F, Gervais V, Claude N, Marzin D. (2011). Study of oxidative DNA damage in TK6 human lymphoblastoid cells by use of the thymidine kinase gene-mutation assay and the in vitro modified comet assay: Determination of No-Observed-Genotoxic-Effect-Levels. Mutat Res 726:151-159.

Redon, C. E. et al., (2010), The use of gamma-H2AX as a biodosimeter for total-body radiation exposure in non-human primates. PLoS One. 5(11): e15544. doi:10.1371/journal.pone.0015544

Revet I, Feeney L, Bruguera S, Wilson W, Dong T, Oh D, Dankort D, Cleaver J. (2011). Functional relevance of the histone γH2Ax in the response to DNA damaging agents  . Proc Natl Acad Sci USA 108:8663-8667.

Rogakou, E.P., Pilch, D., Orr, A., Ivanova, V., Bonner, W.M. (1998), DNA Double-stranded Breaks Induce Histone H2AX Phosphorylation on Serine 139, J Biol Chem, 273:5858-5868.

Rothkamm, K. & S. Horn, (2009), γ-H2AX as protein biomarker for radiation exposure. Ann Ist Super Sanità, 45(3): 265-71.


List of Adverse Outcomes in this AOP

Event: 185: Increase, Mutations

Short Name: Increase, Mutations

Key Event Component

Process Object Action
mutation deoxyribonucleic acid increased

Stressors

Name
Ionizing Radiation

Biological Context

Level of Biological Organization
Molecular

Domain of Applicability


Taxonomic Applicability
Term Scientific Term Evidence Links
Mus musculus Mus musculus High NCBI
medaka Oryzias latipes Moderate NCBI
rat Rattus norvegicus High NCBI
Homo sapiens Homo sapiens Moderate NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Unspecific High

Mutations can occur in any organism and in any cell type, and are the fundamental material of evolution. The test guidelines described above range from analysis from prokaryotes, to rodents, to human cells in vitro. Mutations have been measured in virtually every human tissue sampled in vivo.


Key Event Description

A mutation is a change in DNA sequence. Mutations can thus alter the coding sequence of genes, potentially leading to malformed or truncated proteins. Mutations can also occur in promoter regions, splice junctions, non-coding RNA, DNA segments, and other functional locations in the genome. These mutations can lead to various downstream consequences, including alterations in gene expression. There are several different types of mutations including missense, nonsense, insertion, deletion, duplication, and frameshift mutations, all of which can impact the genome and its expression in unique ways.

 

Mutations can be propagated to daughter cells upon cellular replication. Mutations in stem cells (versus terminally differentiated non-replicating cells) are the most concerning, as these will persist in the organism. The consequence of the mutation, and thus the fate of the cell, depends on the location (e.g., coding versus non-coding) and the type (e.g., nonsense versus silent) of mutation.

Mutations can occur in somatic cells or germ cells (sperm or egg).


How it is Measured or Detected

Mutations can be measured using a variety of both OECD and non-OECD mutagenicity tests. Some examples are given below.

Somatic cells: The Salmonella mutagenicity test (Ames Test) is generally used as part of a first tier screen to determine if a chemical can cause gene mutations. This well-established test has an OECD test guideline (TG 471). A variety of bacterial strains are used, in the presence and absence of a metabolic activation system (e.g., rat liver microsomal S9 fraction), to determine the mutagenic potency of chemicals by dose-response analysis. A full description is found in Test No. 471: Bacterial Reverse Mutation Test (OECD).

A variety of in vitro mammalian cell gene mutation tests are described in OECD’s Test Guidelines 476 and 490. TG 476 is used to identify substances that induce gene mutations at the hprt (hypoxanthine-guanine phosphoribosyl transferase) gene, or the transgenic xprt (xanthine-guanine phosphoribosyl transferase) reporter locus. The most commonly used cells for the HPRT test include the CHO, CHL and V79 lines of Chinese hamster cells, L5178Y mouse lymphoma cells, and TK6 human lymphoblastoid cells. The only cells suitable for the XPRT test are AS52 cells containing the bacterial xprt (or gpt) transgene (from which the hprt gene was deleted).

The new OECD TG 490 describes two distinct in vitro mammalian gene mutation assays using the thymidine kinase (tk) locus and requiring two specific tk heterozygous cells lines: L5178Y tk+/-3.7.2C cells for the mouse lymphoma assay (MLA) and TK6 tk+/- cells for the TK6 assay. The autosomal and heterozygous nature of the thymidine kinase gene in the two cell lines enables the detection of cells deficient in the enzyme thymidine kinase following mutation from tk+/- to tk-/-.

It is important to consider that different mutation spectra are detected by the different mutation endpoints assessed. The non-autosomal location of the hprt gene (X-chromosome) means that the types of mutations detected in this assay are point mutations, including base pair substitutions and frameshift mutations resulting from small insertions and deletions. Whereas, the autosomal location of the transgenic xprt, tk, or gpt locus allows the detection of large deletions not readily detected at the hemizygous hprt locus on X-chromosomes. Genetic events detected using the tk locus include both gene mutations (point mutations, frameshift mutations, small deletions) and large deletions.

The transgenic rodent mutation assay (OECD TG 488) is the only assay capable of measuring gene mutation in virtually all tissues in vivo. Specific details on the rodent transgenic mutation reporter assays are reviewed in Lambert et al. (2005, 2009). The transgenic reporter genes are used for detection of gene mutations and/or chromosomal deletions and rearrangements resulting in DNA size changes (the latter specifically in the lacZ plasmid and Spi- test models) induced in vivo by test substances (OECD, 2009, OECD, 2011; Lambert et al., 2005). Briefly, transgenic rodents (mouse or rat) are exposed to the chemical agent sub-chronically. Following a manifestation period, genomic DNA is extracted from tissues, transgenes are rescued from genomic DNA, and transfected into bacteria where the mutant frequency is measured using specific selection systems.

The Pig-a (phosphatidylinositol glycan, Class A) gene on the X chromosome codes for a catalytic subunit of the N-acetylglucosamine transferase complex that is involved in glycosylphosphatidyl inositol (GPI) cell surface anchor synthesis. Cells lacking GPI anchors, or GPI-anchored cell surface proteins are predominantly due to mutations in the Pig-a gene. Thus, flow cytometry of red blood cells expressing or not expressing the Pig-a gene has been developed for mutation analysis in blood cells from humans, rats, mice, and monkeys. The assay is described in detail in Dobrovolsky et al. (2010). Development of an OECD guideline for the Pig-a assay is underway. In addition, experiments determining precisely what proportion of cells expressing the Pig-a mutant phenotype have mutations in the Pig-a gene are in progress (e.g., Nicklas et al., 2015, Drobovolsky et al., 2015). A recent paper indicates that the majority of CD48 deficient cells from 7,12-dimethylbenz[a]anthracene-treated rats (78%) are indeed due to mutation in Pig-a (Drobovolsky et al., 2015).


Germ cells: Tandem repeat mutations can be measured in bone marrow, sperm, and other tissues using single-molecule PCR. This approach has been applied most frequently to measure repeat mutations occurring in sperm DNA. Isolation of sperm DNA is as described above for the transgenic rodent mutation assay, and analysis of tandem repeats is done using electrophoresis for size analysis of allele length using single-molecule PCR. For expanded simple tandem repeat this involved agarose gel electrophoresis and Southern blotting, whereas for microsatellites sizing is done by capillary electrophoresis. Detailed methodologies for this approach are found in Yauk et al. (2002) and Beal et al. (2015).

Mutations in rodent sperm can also be measured using the transgenic reporter model (OECD TG 488). A description of the approach is found within this published TG. Further modifications to this protocol have now been made for the analysis of germ cells. Detailed methodology for detecting mutant frequency arising in spermatogonia is described in Douglas et al. (1995), O'Brien et al. (2013); and O'Brien et al. (2014). Briefly, male mice are exposed to the mutagen and killed at varying times post-exposure to evaluate effects on different phases of spermatogenesis. Sperm are collected from the vas deferens or caudal epididymis (the latter preferred). Modified protocols have been developed for extraction of DNA from sperm.

A similar transgenic assay can be used in transgenic medaka (Norris and Winn, 2010).


Please note, gene mutations that occur in somatic cells in vivo (OECD Test. No. 488) or in vitro (OECD Test No. 476: In vitro Mammalian Cell Gene Mutation Test), or in bacterial cells (i.e., OECD Test No. 471) can be used as an indicator that mutations in male pre-meiotic germ cells may occur for a particular agent (sensitivity and specificity of other assays for male germ cell effects is given in Waters et al., 1994). However, given the very unique biological features of spermatogenesis relative to other cell types, known exceptions to this rule, and the small database on which this is based, inferring results from somatic cell or bacterial tests to male pre-meiotic germ cells must be done with caution. That mutational assays in somatic cells may predict mutations in germ cells has not been rigorously tested empirically (Singer and Yauk, 2010). The IWGT working group on germ cells specifically addressed this gap in knowledge in their report (Yauk et al., 2015) and recommended that additional research address this issue. Mutations can be directly measured in humans (and other species) through the application of next-generation sequencing. Although single-molecule approaches are growing in prevalence, the most robust approach to measure mutation using next-generation sequencing today requires clonal expansion of the mutation to a sizable proportion (e.g., sequencing tumours; Shen et al., 2015), or analysis of families to identify germline derived mutations (reviewed in Campbell and Eichler, 2013; Adewoye et al., 2015).

Please refer to the table below for additional details and methodologies for measuring mutations.

Assay Name References Description OECD Approved Assay
Assorted Gene Loci Mutation Assays

Tindall et al., 1989; Kruger et al., 2015

After exposure to a chemical/mutagen, mutations can be measured by the ability of exposed cells to form colonies in the presence of specific compounds that would normally inhibit colony growth; Usually only cells -/- for the gene of interest are able to form colonies N/A
TK Mutation Assay

Yamamoto et al., 2017; Liber et al., 1982; Lloyd and Kidd, 2012

After exposure to a chemical/mutagen, mutations are detected at the thymidine kinase (TK) loci of L5178Y wild-type mouse lymphoma TK (+/-) cells by measuring resistance to lethaltriflurothymidine (TFT); Only TK-/- cells are able to form colonies Yes (No. 490)
HPRT Mutation Assay

Ayres et al., 2006; Parry and Parry, 2012

Similar to TK Mutation Assay above, X-linked HPRT mutations produced in response to chemical/mutagen exposure can be measured through colony formation in the presence of 6-TG or 8-azoguanine; Only HPRT-/- cells are able to form colonies Yes (No. 476)
Salmonella Mutagenicity Test (Ames Test) OECD, 1997 After exposure to a chemical/mutagen, point mutations are detected by analyzing the growth capacity of different bacterial strains in the presence and absence of various metabolic activation systems  Yes (No. 471)
PIG-A / PIG-O Assay

Kruger et al., 2015; Nakamura, 2012; Chikura, 2019

After exposure to a chemical/mutagen, mutations  in PIG-A or PIG-O (which decrease the biosynthesis of the glycosylphosphatidylinositol (GPI) anchor protein) are assessed by the colony-forming capabilities of cells after in vitro exposure, or by flow cytometry of blood samples after in vivo exposure N/A
Single Molecule PCR

Kraytsberg, 2005; Yauk, 2002

This PCR technique uses a single DNA template, and is often employed for detection of mutations in microsatellites, recombination studies, and generation of polonies N/A
ACB-PCR

Myers et al., 2014 (Textbook, pg 345-363); Banda et al.,  2013; Banda et al.,  2015; Parsons et al., 2017

Using this PCR technique, single base pair substitution mutations within oncogenes or tumour suppressor genes can be detected by selectively amplifying specific point mutations within an allele and selectively blocking amplification of the wild-type allele N/A
Transgenic Rodent Mutation Assay

OECD 2013; Lambert 2005; Lambert 2009

This in vivo test detects gene mutations using transgenic rodents that possess transgenes and reporter genes; After in vivo exposure to a chemical/mutagen, the transgenes are analyzed by transfecting bacteria with the reporter gene and examining the resulting phenotype Yes (No. 488)
Conditionally inducible transgenic mouse models Parsons 2018 (Review) Inducible mutations linked to fluorescent tags are introduced into transgenic mice; Upon exposure of the transgenic mice to an inducing agent, the presence and functional assessment of the mutations can be easily ascertained due to expression of the linked fluorescent tags N/A
Error-Corrected Next Generation Sequencing (NGS) Salk 2018 (Review) This technique detects rare subclonal mutations within a pool of heterogeneous DNA samples through the application of new error-correction strategies to NGS; At present, few laboratories in the world are capable of doing this, but commercial services are becoming available (e.g., Duplex sequencing at TwinStrand BioSciences) N/A

 


References

Adewoye, A.B., Lindsay, S.J., Dubrova, Y.E. and M.E. Hurles (2015), "The genome-wide effects of ionizing radiation on mutation induction in the mammalian germline", Nat. Commun., 6:6684.

Ayres, M. F., D. A. da Cruz, Steele, P. & W. Glickman, (2006), Low doses of gamma ionizing radiation increase hprt mutant frequencies of TK6 cells without triggering the mutator phenotype pathway. Genetics and Molecular Biology. 2(3): 558-561. Doi:10.1590/S1415-4757200600030002.

Banda M., L. Recio & B. L. Parsons, (2013), ACB-PCR measurement of spontaneous and furan-induced H-ras codon 61 CAA to CTA and CAA to AAA mutation in B6C3F1 mouse liver. Environ Mol Mutagen. 54(8):659-67. Doi:10.1002/em.21808.

Banda, M. et al., (2015), Quantification of Kras mutant fraction in the lung DNA of mice exposed to aerosolized particulate vanadium pentoxide by inhalation. Mutat Res Genet Toxicol Environ Mutagen. 789-790:53-60. Doi: 10.1016/j.mrgentox.2015.07.003.

Campbell, C.D. and E.E. Eichler (2013), "Properties and rates of germline mutations in humans", Trends Genet., 29(10): 575-84.

Chikura, S. et al., (2019), Standard protocol for the total red blood cell Pig-a assay used in the interlaboratory trial organized by the Mammalian Mutagenicity Study Group of the Japanese Environmental Mutagen Society. Genes Environ.  27:41-5. Doi: 10.1186/s41021-019-0121-z.

Dobrovolsky, V.N., J. Revollo, M.G. Pearce, M.M. Pacheco-Martinez and H. Lin (2015), "CD48-deficient T-lymphocytes from DMBA-treated rats have de novo mutations in the endogenous Pig-a gene. CD48-Deficient T-Lymphocytes from DMBA-Treated Rats Have De Novo Mutations in the Endogenous Pig-a Gene", Environ. Mol. Mutagen., 6(: 674-683.

Douglas, G.R., J. Jiao, J.D. Gingerich, J.A. Gossen and L.M. Soper (1995), "Temporal and molecular characteristics of mutations induced by ethylnitrosourea in germ cells isolated from seminiferous tubules and in spermatozoa of lacZ transgenic mice", Proceedings of the National Academy of Sciences of the United States of America, 92(16): 7485-7489.

Kraytsberg, Y., K. Khrapko, (2005), Single-molecule PCR: an artifact-free PCR approach for the analysis of somatic mutations. Expert Rev Mol Diagn. 5(5):809-15. Doi: 10.1586/14737159.5.5.809.

Krüger, T. C., M. Hofmann & A. Hartwig, A. 2015. The in vitro PIG-A gene mutation assay: mutagenicity testing via flow cytometry based on the glycosylphosphatidylinositol (GPI) status of TK6 cells. Arch Toxicol. 89(12), 2429-43. doi: 10.1007/s00204-014-1413-5.

Lambert, I.B., T.M. Singer, S.E. Boucher and G.R. Douglas (2005), "Detailed review of transgenic rodent mutation assays", Mutat Res., 590(1-3):1-280.

Liber, L. H. & G. W. Thilly, (1982), Mutation assay at the thymidine kinase locus in diploid human lymphoblasts. Mutation Research. 94: 467-485. Doi:10.1016/0027-5107(82)90308-6.

Lloyd, M. & D. Kidd, (2012), The Mouse Lymphoma Assay. In: Parry J., Parry E. (eds) Genetic Toxicology. Methods in Molecular Biology (Methods and Protocols), 817. Springer, New York, NY.

Myers, M. B. et al., (2014), ACB-PCR Quantification of Somatic Oncomutation. Molecular Toxicology Protocols, Methods in Molecular Biology. DOI: 10.1007/978-1-62703-739-6_27

Nakamura, J. et al., (2012), Detection of PIGO-deficient cells using proaerolysin: a valuable tool to investigate mechanisms of mutagenesis in the DT40 cell system. Doi:10.1371/journal.pone.0033563.

Nicklas, J.A., E.W. Carter and R.J. Albertini (2015), "Both PIGA and PIGL mutations cause GPI-a deficient isolates in the Tk6 cell line", Environ. Mol. Mutagen., 6(8):663-73.

Norris, M.B. and R.N. Winn (2010), "Isolated spermatozoa as indicators of mutations transmitted to progeny", Mutat Res., 688(1-2): 36–40.

O'Brien, J.M., A. Williams, J. Gingerich, G.R. Douglas, F. Marchetti and C.L. Yauk (2013), "No evidence for transgenerational genomic instability in the F1 or F2 descendants of Muta™Mouse males exposed to N-ethyl-N-nitrosourea", Mutat. Res., 741-742:11-7.

O'Brien, J.M., M.A. Beal, J.D. Gingerich, L. Soper, G.R. Douglas, C.L. Yauk and F. Marchetti (2014), "Transgenic rodent assay for quanitifying male germ cell mutation frequency", Journal of Visual Experimentation, Aug 6;(90).

O’Brien, J.M., M. Walker, A. Sivathayalan, G.R. Douglas, C.L. Yauk and F. Marchetti (2015), "Sublinear response in lacZ mutant frequency of Muta™ Mouse spermatogonial stem cells after low dose subchronic exposure to N-ethyl-N-nitrosourea", Environ. Mol. Mutagen., 6(4): 347-355.

OECD (1997), Test No. 471: Bacterial Reverse Mutation Test, OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

OECD (1997), Test No. 476: In vitro Mammalian Cell Gene Mutation Test, OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

OECD (2009), Detailed Review Paper on Transgenic Rodent Mutation Assays, Series on Testing and Assessment, N° 103, ENV/JM/MONO 7, OECD, Paris.

OECD (2011), Test No. 488: Transgenic Rodent Somatic and Germ Cell Gene Mutation Assays, OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

OECD (2015), Test. No. 490: In vitro mammalian cell gene mutation mutation tests using the thymidine kinase gene, OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

OECD, 2013. Transgenic Rodent Somatic and Germ Cell Gene Mutation Assays.

OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

OECD, 2015. Test. No. 490: In vitro mammalian cell gene mutation mutation tests using the thymidine kinase gene. OECD Guidelines for the Testing of Chemicals, Section 4, OECD Publishing, Paris.

Parry, M. J. & M. E. Parry, (2012), Genetic Toxicology Principles and Methods. Humana Press. Springer Protocols.

Parsons, B.L., (2018), Multiclonal tumor origin: Evidence and implications. Mutat Res. 2018. 777:1-18. doi: 10.1016/j.mrrev.2018.05.001. Shen, T., S.H. Pajaro-Van de Stadt, N.C.

Parsons, B.L., K. L. McKim, M. B. Myers, (2017), Variation in organ-specific PIK3CA and KRAS mutant levels in normal human tissues correlates with mutation prevalence in corresponding carcinomas. Environ Mol Mutagen. 58(7):466-476. Doi: 10.1002/em.22110.

Salk, J. J. & M. W. Schmitt & L. A. Loeb, (2018), Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations. Nat Rev Genet. 2018. 19(5):269-285. doi: 10.1038/nrg.2017.117.

Shen, T., S.H. Pajaro-Van de Stadt, N.C. Yeat and J.C. Lin (2015), "Clinical applications of next generation sequencing in cancer: from panels, to exomes, to genomes" Front. Genet., 6: 215. .

Singer, T.M. and C.L. Yauk CL (2010), "Germ cell mutagens: risk assessment challenges in the 21st century", Environ. Mol. Mutagen., 51(8-9): 919-928.

Tindall, R. K. & F. L. Stankowski Jr., (1989), Molecular analysis of spontaneous mutations at the GPT locus in Chinese hamster ovary (AS52) cells. Mutation Research, 220, 241-53. Doi: 10.1016/0165-1110(89)90028-6.

Waters, M.D., H.F. Stack, M.A. Jackson, B.A. Bridges and I.D. Adler (1994), "The performance of short-term tests in identifying potential germ cell mutagens: a qualitative and quantitative analysis", Mutat. Res., 341(2): 109-31.

Yamamoto, A. et al., (2017), Radioprotective activity of blackcurrant extract evaluated by in vitro micronucleus and gene mutation assays in TK6 human lymphoblastoid cells. Genes and Environment. 39: 22. doi: 10.1186/s41021-017-0082-z

Yauk, C.L., Y.E. Dubrova, G.R. Grant and A.J. Jeffreys (2002), "A novel single molecule analysis of spontaneous and radiation-induced mutation at a mouse tandem repeat locus", Mutat. Res., 500(1-2): 147-56.

Yauk, C.L., M.J. Aardema, J. van Benthem, J.B. Bishop, K.L. Dearfield, D.M. DeMarini, Y.E. Dubrova, M. Honma, J.R. Lupski, F. Marchetti, M.L. Meistrich, F. Pacchierotti, J. Stewart, M.D. Waters and G.R. Douglas (2015), "Approaches for Identifying Germ Cell Mutagens: Report of the 2013 IWGT Workshop on Germ Cell Assays", Mutat. Res. Genet. Toxicol. Environ. Mutagen., 783: 36-54.

Yeat & J.C. Lin, (2015), Clinical applications of next generation sequencing in cancer: from panels, to exomes, to genomes. Front. Genet., 6: 215. Doi: 10.3389/fgene.2015.00215.


Event: 1636: Increase, Chromosomal aberrations

Short Name: Increase, Chromosomal aberrations

Stressors

Name
Ionizing Radiation

Biological Context

Level of Biological Organization
Cellular

Domain of Applicability


Taxonomic Applicability
Term Scientific Term Evidence Links
human Homo sapiens High NCBI
rat Rattus norvegicus High NCBI
mouse Mus musculus High NCBI
Life Stage Applicability
Life Stage Evidence
All life stages High
Sex Applicability
Sex Evidence
Unspecific High

Chromosomal aberrations indicating clastogenicity can occur in any eukaryotic or prokaryotic cell. However, dose-response curves can differ depending on the cell cycle stage when the DSB agent was introduced (Obe et al., 2002).


Key Event Description

Chromosomal aberrations describe the structural damage to chromosomes that result from breaks along the DNA and may lead to deletion, addition, or rearrangement of sections in the chromosome. Chromosomal aberrations can be divided in two major categories: chromatid-type or chromosome-type depending on whether one or both chromatids are involved, respectively. They can be further classified as rejoined or non-rejoined aberrations. Rejoined aberrations include translocations, insertions, dicentrics and rings, while unrejoined aberrations include acentric fragments and breaks (Savage, 1976). Some of these aberrations are stable (i.e., reciprocal translocations) and can persist for many years (Tucker and Preston, 1996). Others are unstable (i.e., dicentrics, acentric fragments) and decline at each cell division because of cell death (Boei et al., 1996). These events may be detectable after cell division and such damage to DNA is irreversible. Chromosomal aberrations are associated with cell death and carcinogenicity (Mitelman, 1982).

Chromosomal aberrations (CA) refer to a missing, extra or irregular portion of chromosomal DNA. These DNA changes in the chromosome structure may be produced by different double strand break (DSB) repair mechanisms (Obe et al., 2002).

There are 4 main types of CAs: deletions, duplications, translocations, and inversions. Deletions happen when a portion of the genetic material from a chromosome is lost. Terminal deletions occur when an end piece of the chromosome is cleaved. Interstitial deletions arise when a chromosome breaks in two separate locations and rejoins incorrectly, with the center piece being omitted. Duplications transpire when there is any addition or rearrangement of excess genetic material; types of duplications include transpositions, tandem duplications, reverse duplications, and displaced duplications (Griffiths et al., 2000). Translocations result from a section of one chromosome being transferred to a non-homologous chromosome (Bunting and Nussenzweig, 2013). When there is an exchange of segments on two non-homologous chromosomes, it is called a reciprocal translocation. Inversions occur in a single chromosome and involve both of the ends breaking and being ligated on the opposite ends, effectively inverting the DNA sequence.    
 

A fifth type of CA that can occur in the genome is the copy number variant (CNV). CNVs, which may comprise greater than 10% of the human genome (Shlien et al., 2009; Zhang et al., 2016; Hastings et al., 2009),  are deletions or duplications that can vary in size from 50 base pairs (Arlt et al., 2012; Arlt et al., 2014; Liu et al., 2013) up into the megabase pair range (Arlt et al., 2012; Wilson et al., 2015; Arlt et al., 2014; Zhang et al., 2016). CNV regions are especially enriched in large genes and large active transcription units (Wilson et al., 2015), and are of particular concern when they cause deletions in tumour suppressor genes or duplications in oncogenes (Liu et al., 2013; Curtis et al., 2012). There are two types of CNVs: recurrent and non-recurrent. Recurrent CNVs are thought to be produced through a recombination process during meiosis known as non-allelic homologous recombination (NAHR) (Arlt et al., 2012; Hastings et al., 2009). These recurrent CNVs, also called germline CNVs, could be inherited and are thus common across different individuals (Shlien et al., 2009; Liu et al., 2013). Non-recurrent CNVs are believed to be produced in mitotic cells during the process of replication. Although the mechanism is not well studied, it has been suggested that stress during replication, in particular stalling replication forks, prompt microhomology-mediated mechanisms to overcome the replication stall, which often results in duplications or deletions. Two models that have been proposed to explain this mechanism include the Fork Stalling and Template Switching (FoSTeS) model, and the Microhomology-Mediated Break-Induced Replication (MMBIR) model (Arlt et al., 2012; Wilson et al., 2015; Lee et al., 2007; Hastings et al., 2009).

 

CAs can be classified according to whether the chromosome or chromatid is affected by the aberration. Chromosome-type aberrations (CSAs) include chromosome-type breaks, ring chromosomes, marker chromosomes, and dicentric chromosomes; chromatid-type aberrations (CTAs) refer to chromatid breaks and chromatid exchanges (Bonassi et al., 2008; Hagmar et al., 2004). When cells are blocked at the cytokinesis step, CAs are evident in binucleated cells as micronuclei (MN; small nucleus-like structures that contain a chromosome or a piece of a chromosome that was lost during mitosis) and nucleoplasmic bridges (NPBs; physical connections that exist between the two nuclei) (El-Zein et al., 2014). Other CAs can be assessed by examining the DNA sequence, as is the case when detecting copy number variants (CNVs) (Liu et al., 2013).

OECD defines clastogens as ‘any substance that causes structural chromosomal aberrations in populations of cells or organisms’.


How it is Measured or Detected

Chromosome aberrations are typically measured after cell division.

  • Micronucleus detection:
    • Micronuclei are DNA fragments that are not incorporated in the nucleus during cell division. Micronucleus induction indicates chromosomal breakage and irreversible damage.
  • Traditional (microscopy-based) micronucleus assay; OECD guidelines for both in vivo (#474) and in vitro (#487) testing are available (OECD, 2014; OECD, 2016b)
  • In vivo and in vitro flow cytometry-based, automated micronuclei measurements (Dertinger et al., 2004; Bryce et al., 2014)
  • High content imaging (Shahane et al., 2016)
    • DNA can be stained using fluorescent dyes and micronuclei can be scored in microscope images.
  • Chromosomal aberration test
    • OECD guidelines exist for both in vitro (#473) and in vivo (#475 and #483) testing (OECD, 2015; OECD, 2016a; OECD, 2016c)
    • In vitro, the cell cycle is arrested at metaphase after 1.5 cell cycle following 3-6 hour exposure
    • In vivo, the test chemically is administered as a single treatment and bone marrow is collected 18-24 hrs later (#475) while testis is collected 24-48 hrs later (#483). The cell cycle is arrested with a metaphase-arresting chemical (e.g., colchicine) 2-5 hours before cell collection.
    • Once cells are fixed and stained on microscope slides, chromosomal aberrations are scored
  • Indirect measurement of clastogenicity via protein expression:
    • Flow cytometry-based quatification of γH2AX foci and p53 protein expression (Bryce et al., 2016).
    • Prediscreen Assay– In-Cell Western -based quantification of γH2AX (Khoury et al., 2013, Khoury et al., 2016)
    • Green fluorescent protein reporter assay to detect the activation of stress signaling pathways, including DNA damage signaling including a reporter porter that is associated with DNA double strand breaks (Hendriks et al., 2012; Hendriks et al., 2016; Wink et al., 2014).

 

Assay Name References Description OECD Approved Assay
Fluorescent In Situ Hybridization (FISH)

Beaton et al., 2013; Pathak et al., 2017

Fluorescent assay of condensed chromosomes that can detect CAs through chromosome painting and microscopic analysis N/A
Cytokinesis Block Micronucleus (CBMN)  Assay with Microscopy Fenech, 2000 Cells are cultured with cytokinesis blocked, fixed to slides, and undergo MN quantification using microscopy Yes (No.487) 
CBMN with Imaging Flow Cytometry Rodrigues et al., 2015 Cells are cultured with cytokinesis blocked, fixed in solution, and imaged with flow cytometry to quantify MN  N/A
Dicentric Chromosome Assay (DCA) Abe et al., 2018 Cells are fixed on microscope slides, chromosomes are stained, and the number of dicentric chromosomes are quantified N/A
Array Comparative Genomic Hybridization (aCGH) or SNP Microarray

Adewoye et al., 2015; Wilson et al., 2015; Arlt et al., 2014; Redon et al., 2006; Keren, 2014; Mukherjee, 2017

CNVs are detected in single-stranded and fluorescently-tagged DNA using a microarray plate with fixed, known DNA (or SNP) probes; This method, however, is unable to detect balanced CAs, such as inversions N/A
Next Generation Sequencing (NGS): Whole Genome Sequencing (WGS) or Whole Exome Sequencing (WES)

Liu, 2013; Shen, 2016; Mukherjee, 2017

CNVs are detected by fragmenting the genome and  using NGS to sequence either the entire genome (WGS), or only the exome (WES); Challenges with this methodology include only being able to detect CNVs in exon-rich areas  if using WES, the computational investment required for the storage and analysis of these large datasets, and the lack of computational algorithms available for effectively detecting somatic CNVs N/A

 


References

Abe, Y. et al., (2018), Dose-response curves for analyzing of dicentric chromosomes and chromosome translocations following doses of 1000 mGy or less, based on irradiated peripheral blood samples from five healthy individuals. J Radiat Res. 59(1), 35-42. doi:10.1093/jrr/rrx052

Adewoye, A.B. et al., (2015), The genome-wide effects of ionizing radiation on mutation induction in the mammalian germline.Nat. Commun. 6:66-84. doi: 10.1038/ncomms7684.

Arlt, M. F., T. E. Wilson & T. W. Glover, (2012), Replication stress and mechanisms of CNV formation. Curr Opin Genet Dev. 22(3):204-10. doi: 10.1016/j.gde.2012.01.009.

Arlt, M. F. et al., (2014), Copy number variants are produced in response to low-dose ionizing radiation in cultured cells. Environ Mol Mutagen. 55(2):103-13. doi: 10.1002/em.21840.

Beaton, L. A. et al., (2013), Investigating chromosome damage using fluorescent in situ hybridization to identify biomarkers of radiosensitivity in prostate cancer patients. Int J Radiat Biol. 89(12): 1087-1093. doi:10.3109/09553002.2013.825060

Boei, J.J., Vermeulen, S., Natarajan, A.T. (1996), Detection of chromosomal aberrations by fluorescence in situ hybridization in the first three postirradiation divisions of human lymphocytes, Mutat Res, 349:127-135.

Bonassi, S. et al., (2008), Chromosomal aberration frequency in lymphocytes predicts the risk of cancer: results from a pooled cohort study of 22 358 subjects in 11 countries. Carcinogenesis. 29(6):1178-83. doi: 10.1093/carcin/bgn075.

Bryce, S., Bemis, J., Mereness, J., Spellman, R., Moss, J., Dickinson, D., Schuler, M., Dertinger, S. (2014), Interpreting In VitroMicronucleus Positive Results: Simple Biomarker Matrix Discriminates Clastogens, Aneugens, and Misleading Positive Agents, Environ Mol Mutagen, 55:542-555.

Bryce, S., Bernacki, D., Bemis, J., Dertinger, S. (2016), Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach, Environ Mol Mutagen, 57:171-189.

Bunting, S. F. & A. Nussenzweig, (2013), End-joining, translocations and cancer. Nature Reviews Cancer. 13(7): 443-454. doi:10.1038/nrc3537

Curtis, C. et al., (2012), The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 486(7403):346-52. doi: 10.1038/nature10983.

Dertinger, S.D., Camphausen, K., MacGregor, J.T., Torous, D.K., Alasevich, S., Cairns, S., Tometsko, C.R., Menard, C., Muanza, T., Chen, Y., Miller, R.K., Cederbrant, K., Sandelin, K., Ponten, I., Bolcsfoldi, G. (2004), Three-color labeling method for flow cytometric measurement of cytogenetic damage in rodent and human blood, Environ Mol Mutagen, 44:427-435.

El-Zein, R. A. et al., (2014), The cytokinesis-blocked micronucleus assay as a strong predictor of lung cancer: extension of a lung cancer risk prediction model. Cancer Epidemiol Biomarkers Prev. 2014. 23(11):2462-70. doi: 10.1158/1055-9965.EPI-14-0462.

Fenech, M., (2000), The in vitro micronucleus technique. Mutation Research. 455(1-2), 81-95. Doi: 10.1016/s0027-5107(00)00065-8

Griffiths, A. J. F. et al., (2000), An Introduction to Genetic Analysis. 7th edition. New York: W. H. Freeman. Available from: https://www.ncbi.nlm.nih.gov/books/NBK21766/

Hagmar, L. et al., (2004), Impact of types of lymphocyte chromosomal aberrations on human cancer risk: results from Nordic and Italian cohorts. Cancer Res. 64(6):2258-63.

Hastings, P. J., G. Ira & J. R. Lupski, (2009), A microhomology-mediated break-induced replication model for the origin of human copy number variation. PLoS Genet. 2009 Jan;5(1): e1000327. doi: 10.1371/journal.pgen.1000327.

Hendriks, G., Ataliah, M., Morolli, B., Calleja, F., Ras-Verloop, N., Huijskens, I., Raamsman, M., Van de Water, B., Vrieling, H. (2012), The ToxTracker assay: novel GFP reporter systems that provide mechanistic insight into the genotoxic properties of chemicals, Toxicol Sci, 125:285-298.

Hendriks, G., Derr, R., Misovic, B., Morolli, B., Calleja, F., Vrieling, H. (2016), The Extended ToxTracker Assay Discriminates Between Induction of DNA Damage, Oxidative Stress, and Protein Misfolding, Toxicol Sci, 150:190-203.\

Keren, B. 2014.The advantages of SNP arrays over CGH arrays. Molecular Cytogenetics.7( 1):I31.

Khoury, L., Zalko, D., Audebert, M. (2016), Evaluation of four human cell lines with distinct biotransformation properties for genotoxic screening, Mutagenesis, 31:83-96.

Khoury, L., Zalko, D., Audebert, M. (2013), Validation of high-throughput genotoxicity assay screening using cH2AX in-cell Western assay on HepG2 cells, Environ Mol Mutagen, 54:737-746.

Lee J. A. et al., C. M. Carvalho & J. R. Lupski, (2007), Replication mechanism for generating nonrecurrent rearrangements associated with genomic disorders. Cell. 131(7):1235-47. Doi: 10.1016/j.cell.2007.11.037.

Liu B. et al., (2013), Computational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challenges. Oncotarget. 4(11):1868-81. Doi: 10.18632/oncotarget.1537.

Mitelman, F. (1982), Application of cytogenetic methods to analysis of etiologic factors in carcinogenesis, IARC Sci Publ, 39:481-496.

Mukherjeem, S. et al., (2017), Addition of chromosomal microarray and next generation sequencing to FISH and classical cytogenetics enhances genomic profiling of myeloid malignancies. Cancer Genet. 216-217:128-141. doi: 10.1016/j.cancergen.2017.07.010.

Obe, G. et al., (2002), Chromosomal Aberrations: formation, Identification, and Distribution. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 504(1-2), 17-36. Doi: 10.1016/s0027-5107(02)00076-3.

Savage, J.R. (1976), Classification and relationships of induced chromosomal structual changes, J Med Genet, 13:103-122.

OECD. (2016a). In Vitro Mammalian Chromosomal Aberration Test 473.

OECD. (2016b). Test No. 474: Mammalian Erythrocyte Micronucleus Test. OECD Guideline for the Testing of Chemicals, Section 4. Paris: OECD Publishing.

OECD. (2016c). Test No. 475: Mammalian Bone Marrow Chromosomal Aberration Test. OECD Guideline for the Testing of Chemicals, Section 4. Paris: OECD Publishing.

OECD. (2015). Test No. 483: Mammalian Spermatogonial Chromosomal Aberration Test. Paris: OECD Publishing.

OECD. (2014). Test No. 487: In Vitro Mammalian Cell Micronucleus Test. Paris: OECD Publishing.

Pathak, R., I. Koturbash & M. Hauer-Jensen, (2017), Detection of Inter-chromosomal Stable Aberrations by Multiple Fluorescence In Situ Hybridization (mFISH) and Spectral Karyotyping (SKY) in Irradiated Mice. J Vis Exp(119). doi:10.3791/55162

Redon, R. et al., (2006), Global variation in copy number in the human genome. Nature. 444(7118):444-54.

Rodrigues, M. A., L. A. Beaton-Green & R. C. Wilkins, 2016. Validation of the Cytokinesis-block Micronucleus Assay Using Imaging Flow Cytometry for High Throughput Radiation Biodosimetry. Health Phys. 110(1): 29-36. doi:10.1097/HP.0000000000000371

Shahane S, Nishihara K, Xia M. (2016). High-Throughput and High-Content Micronucleus Assay in CHO-K1 Cells. In: Zhu H, Xia M, editors. High-Throughput Screening Assays in Toxicology. New York, NY: Humana Press. p 77-85.

Shen, W. et al., (2016), Concurrent detection of targeted copy number variants and mutations using a myeloid malignancy next generation sequencing panel allows comprehensive genetic analysis using a single testing strategy. Br J Haematol. 173(1):49-58. doi: 10.1111/bjh.13921.

Shlien A., D. Malkin, (2009), Copy number variations and cancer. Genome Med. 1(6):62. doi: 10.1186/gm62.

Tucker, J.D., Preston, R.J. (1996), Chromosome aberrations, micronuclei, aneuploidy, sister chromatid exchanges, and cancer risk assessment, Mutat Res, 365:147-159.

Wilson, T. E. et al., (2015), Large transcription units unify copy number variants and common fragile sites arising under replication stress. Genome Res. 25(2):189-200. doi: 10.1101/gr.177121.114.

Wink, S., Hiemstra, S., Huppelschoten, S., Danen, E., Niemeijer, M., Hendriks, G., Vrieling, H., Herpers, B., Van de Water, B. (2014), Quantitative high content imaging of cellular adaptive stress response pathways in toxicity for chemical safety assessment, Chem Res Toxicol, 27:338-355.

Zhang, N. et al., (2016), Classification of cancers based on copy number variation landscapes. Biochim Biophys Acta.  1860(11 Pt B):2750-5. doi: 10.1016/j.bbagen.2016.06.003.


Appendix 2

List of Key Event Relationships in the AOP