Abstract
The identification of genotoxic agents and their potential for genotoxic alterations in an organism is crucial for risk assessment and approval procedures of the chemical and pharmaceutical industry. Classically, testing strategies for DNA or chromosomal damage focus on in vitro and in vivo (mainly rodent) investigations. In cell culture systems, the alkaline unwinding (AU) assay is one of the well-established methods for detecting the percentage of double-stranded DNA (dsDNA). By establishing a reliable lysis protocol, and further optimization of the AU assay for the model organism Caenorhabditis elegans (C. elegans), we provided a new tool for genotoxicity testing in the niche between in vitro and rodent experiments. The method is intended to complement existing testing strategies by a multicellular organism, which allows higher predictability of genotoxic potential compared to in vitro cell line or bacterial investigations, before utilizing in vivo (rodent) investigations. This also allows working within the 3R concept (reduction, refinement, and replacement of animal experiments), by reducing and possibly replacing animal testing. Validation with known genotoxic agents (bleomycin (BLM) and tert-butyl hydroperoxide (tBOOH)) proved the method to be meaningful, reproducible, and feasible for high-throughput genotoxicity testing, and especially preliminary screening.
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Introduction
Maintenance of genome integrity is an organism’s top priority to ensure a healthy life and successful reproduction of the species (Jackson and Bartek 2009). The genomic DNA is under constant attack of extrinsic and intrinsic genotoxic agents which may result in genetic alterations in somatic and/ or germ cells, which in turn might manifest target place-dependent negative outcomes, such as impaired transcription or replication, apoptosis, or necrosis, or fixation to mutation. This potentially will lead to cancer and non-cancer genetic diseases for somatic cells and infertility, heritable damage and intergenerational genetic diseases for germ cells (Erickson 2010; Kawanishi et al. 2006; Lindahl and Barnes 2000; Valko et al. 2006). The purpose of genotoxicity testing is to identify such genotoxic agents and their potential for genotoxic alterations. The testing is part of approval procedures and testing strategies of the chemical and pharmaceutical industry, as well as risk assessment of food ingredients. Due to the wide potential spectrum of DNA damages, it is imperative to consider multiple endpoints to systematically assess genotoxicity. As defined in the OECD guidelines, genotoxicity testing includes assays that measure direct, irreversible damage to the DNA that is transmissible to the next generation (i. e. mutagenicity), as well as tests that evaluate directly the induced DNA damage that may or may not result in permanent alterations (and is therefore no direct evidence of mutagenicity) (OECD 2016). In both cases, in vitro and in vivo models (mostly rodents) are used and guidelines recommend a test battery starting with testing for gene mutation in bacteria, followed by in vitro assays using mammalian cell lines, before recommending an in vivo test system (Committee 2011; EMA/CHMP/ICH 2011; Phillips and Arlt 2009). Although these tests are routinely used, they present crucial limitations (i. e. lack of xenobiotic metabolism and bacteria-specific reactions (Yasui et al. 2021), use of tumor cells), which affect the usefulness of the assays to predict the genotoxic potential of a substance in vivo. With the emergence of a stronger awareness of animal welfare in scientific experiments, classic and well-established in vivo studies are increasingly attempted to be replaced by equally meaningful tests, which follow the 3R (refine, reduce, replace) principle (Doke and Dhawale 2015; Freires et al. 2017). For this purpose, as well as to overcome present limitations, current efforts include the usage of 3-D cell culture models or alternative in vivo model organisms. Within this study, the model organism C. elegans was applied for genotoxicity testing. The well-established in vitro method of DNA alkaline unwinding (Doke and Dhawale 2015; Elsakrmy et al. 2020) was optimized for detecting the proportion of dsDNA in C. elegans and was verified using validated genotoxins to provide a rapid genotoxicity evaluation in a metazoan organism.
Materials and methods
Worm cultivation and exposure to positive controls
For assay development, the wild type (WT) N2 Bristol C. elegans strain was used, which was provided by the Caenorhabditis Genetic Center (CGC; University of Minnesota).
Worms were cultivated on agar plates at 20 °C as described by Brenner (1974). After synchronization and hatching, L1 (larval stage 1) worms were seeded on OP50 E. coli covered NGM plates until the population reached L4 without further interference. For treatment, tBOOH and BLM were used as positive controls in ranges of 0–5 mM tBOOH and 0–80 µM BLM for 1 h. BLM sulfate was purchased from Selleckem (NSC125066) and tBOOH from Merck (CAS 75-91-2). Both chemicals were used as received and diluted in 85 mM NaCl to the desired concentration. 3000 L4 larvae were incubated in liquid (85 mM NaCl) in the absence of E. coli while rotating slowly to ensure equal substance uptake. Afterward, samples were washed at least three times with 85 mM NaCl + 0.01% Tween before continuing with the survival or alkaline unwinding assay.
Survival
The toxicity of the substances was determined using the survival assay as described previously (Helmer et al. 2021). After treatment, a specific number of worms were transferred to OP50-seeded NGM plates. Alive and dead worms were manually counted 24 h post-treatment. The vitality of the animals was checked via the mechanical stimulus of touch using a platinum/zirconium wire, which stimulates the worms to move. Any worms that did not respond to the stimulus were considered dead.
Adapted alkaline unwinding for use in C. elegans
After treatment, worms were placed in 1 mL alkaline unwinding buffer (AU buffer; 0.5 M NaH2PO4, 0.5 M Na2HPO4, 0.1 M EDTA, pH 7.5). To reduce possible additional strand breaks during sample preparation, samples were kept on ice at all times and all experimental steps were performed in the dark. Worms were made assailable for the alkaline solution using slight sonification and a large liquid volume (UP100H ultrasonic processor (Hielscher), 1 mL AU buffer, 2 × 20 s on lowest setting, 100% amplitude). After centrifugation (1400 rpm, 2 min, 4 °C) and removal of the supernatant, 1.5 mL alkaline solution (0.9 M NaCl, 10 mM Na2HPO4, 0.03 N NaOH in dH2O) was added to all samples. The DNA was allowed to unwind at RT in the dark for exactly 15 min, before neutralizing the solution with 0.1 N HCl (exact volume was adapted to reach pH 6.8 ± 0.02), sonification on ice (15 s, highest setting), and adding SDS to a final concentration of 0.05%. The single- and double-stranded DNA were separated by successional elution of 0.15 M and 0.35 M potassium phosphate buffer over 1 mL hydroxyapatite columns at 60 °C. The amounts of DNA for the single-stranded DNA (ssDNA) and dsDNA fraction were determined using Hoechst stain (Hoechst 33258 nucleic acid stain) at a final concentration of 7.5 × 10–7 M and the fluorescence was measured using a microtiter fluorescence reader (Infinite Pro, Tecan, Switzerland; 360 nm excitation wavelength and 455 nm emission wavelength). As described by Hartwig et al. 1993, staining availability of Hoechst was tested, which allowed calculations for dsDNA fraction (Hartwig et al. 1993). For this, the fluorescent signals of ssDNA and dsDNA were compared, which yield 0.4 × lower values for dsDNA compared to ssDNA, resulting in the following calculation (formula 1). Statistical evaluation was performed using Graph Pad Prism 9.
Results and discussion
Method development
Alkaline unwinding was initially developed for cell culture systems (Daniel et al. 1985; Hartwig et al. 1993) and is a frequently utilized genotoxicity test, even though it does not belong to the primal OECD genotoxicity tests. Nevertheless, alkaline unwinding is a well-established and rapid assay, which can be categorized as an indicator genotoxicity test (OECD 2015). Similar to the alkaline COMET assay (which is (in vitro) also not part of the primal OECD genotoxicity tests), using alkaline unwinding one can quantify DNA strand breaks caused by genotoxins via direct interactions with the DNA; alkali labile sites; or as a consequence of transient strand discontinuities resulting from nucleotide and base excision repair (Garberg et al. 1988; OECD 2016). In principle, the percentage of dsDNA is detected, which serves as a marker for genomic stability. A highly alkaline solution is used to enable the unwinding of the DNA and form ssDNA at sites of single-strand breaks. The quantification of dsDNA and ssDNA allows to draw conclusions regarding the amount of initial DNA single-strand breaks. Compared to the COMET assay, the procedure for alkaline unwinding does not call for isolation of intact cells, which can be complex in C. elegans. Despite being published (Imanikia et al. 2016), the COMET assay is experimentally demanding, as various cell types are present in worm extracts, background noise/matrix is high, few comparable data are present and results are challenging to reproduce. For alkaline unwinding, the DNA within the worms needs to be accessible to the alkaline solution, but it is not necessary to isolate intact cells. Lysing the worms is the critical step during this method since it is of crucial importance that DNA damages are not caused by the lysing process itself. We found that gentle sonification (Ultrasonic Processor, UP 100H, 2 × 20 s, in 1 mL liquid) works better for that purpose than using chemical dissipation of the cuticle (e. g. protein kinase K, pronase E, papain, Triton X-100), breaking of the cuticle with high pressure (French pressure cell press, as used for yeast cell lysis (Moore et al. 2016)) or slicing worms using syringes as described for germ cell isolation (Vagasi et al. 2017). Except for the gentle sonification, the other methods resulted in additional DNA damage as we detected only very low amounts of dsDNA (data not shown). Making use of transgenic worm strains did not facilitate the workflow in this particular case. The tested bus-5 deletion mutant (DC19, bus-5(br19) X), which presents higher porosity, and therefore higher cuticle permeability for various substances compared to the wild type (N2) strain (Xiong et al. 2017), showed high levels of damage even in non-exposed controls. Mutant strains were therefore discarded as an alternative method for the lysing process and did not facilitate the accessibility of the alkaline solution. Experiments regarding the optimal incubation time with the alkaline solution can be seen in Fig. 1. The unwinding time was reduced from 30 min (used in cell samples) to 15 min as data indicate increased sensitivity of the worm DNA compared to DNA retrieved from cell culture (HepG2, BeWo b30) to the alkaline solution. This finding corresponds to earlier observations in a worm study pointing out that the C. elegans genomic DNA was detected to be degraded under alkaline electrophoresis condition used in a classical comet assay (Park et al. 2016). All following steps are identical to the in vitro setup (see Fig. 2), which was adapted from Hartwig et al. (1993). To keep DNA damage caused by the experimental setup to a minimum, worm samples were prepared in the dark and on ice after the compound treatment process was finished. For calculation of the percentage of dsDNA, the affinity of the Hoechst 33258 dye to dsDNA and ssDNA was tested. In contrast to cell samples, where a factor of 2.1 is present, in dsDNA of worms, the binding affinity is reduced by a factor of 0.4 of dsDNA compared to ssDNA. This, and the higher sensitivity of C. elegans DNA to the alkaline solution may indicate a slightly different coiling and stability of the DNA, which can also be a reason for the difficulties in the COMET assay, that has also been described by Park et al. (2016) as they found increased DNA damage in worms incubated with alkaline solutions at pH 12.3 for 30 min compared to controls. Additionally, both effects collectively may explain the high fluorescence following 30 min unwinding time (Fig. 1A). Nevertheless, when adapting the alkaline unwinding to worm DNA, this genotoxicity test proves to be meaningful, reliable, and practicable for high throughput.
Positive controls
For assay evaluation and verification, the positive controls tBOOH and BLM were used, as those chemicals are known to induce DNA strand breaks by different modes of action. TBOOH is a recognized inducer of oxidative stress and DNA damage in various in vitro and in vivo models, which is also effective and often applied in C. elegans (Helmer et al. 2021; Mersch-Sundermann et al. 2004; Xie et al. 2013). It is proposed that the oxidant causes the iron-dependent formation of tert-butoxyl (tBO·) and tert-butyl peroxyl (tBOO·) radicals, resulting in cellular redox imbalance associated with lipid peroxidation, Ca2+-dependent DNA cleavage, and apoptosis (Barton et al. 1998; Kruszewski et al. 2008; Martı́n et al. 2001). BLM is applied as an anti-cancer antibiotic. In comparison to tBOOH, BLM directly affects the DNA by causing athymic sites leading to single-strand splitting (Müller and Zahn 1976). Worms were incubated with both substances at sub-toxic concentrations for 1 h, which were determined in earlier studies (Neumann et al. 2020) or survival assays (Fig. 3). As expected, a highly significant and dose-dependent reduction of dsDNA is caused by exposing worms to tBOOH. Incubation of the substance of concentrations higher than the LD25 (2.5 mM tBOOH for 1 h (Neumann et al. 2020)), does not show any stronger effects, as the results show a maximum decrease of ~ 50% at this point (see Fig. 4A). Exposure of C. elegans to BLM does also lead to a dose-dependent significant induction of strand breaks and resulting decrease of dsDNA at 20 µM and 40 µM BLM (≤ LD25) compared to non-incubated control samples (Fig. 4B).
Advantages of the model organism and alkaline unwinding compared to other genotoxicity tests
Factors that contribute to the genotoxicity potential of a compound on an organism are complex and often intertwined. Polymorphisms, age, gender, metabolic-enzyme expression, and lifestyle are a few examples that contribute to the vulnerability of an organism (Hsieh et al. 2019). While most of these attributes can be modeled in rodent experiments, they are not preferentially used for first screenings and indicator tests due to high time and cost intensity. Bacteria assays and cell culture systems are often used for initial investigations as they are less expensive and ethically acceptable for broad-spectrum screening. Prokaryotes and eukaryotes have developed complex biochemical responses to DNA damage that activate numerous processes like activation of repair mechanisms, transient cell cycle arrests, transcriptional upregulation of response proteins, and in metazoans apoptosis as the last resort. Considering that the DNA damage response and DNA damage checkpoints in higher eukaryotes are more complicated than those found in prokaryotes or unicellular eukaryotes, an easily accessible metazoan model organism is required to study the more complex aspects of genotoxicity (Stergiou and Hengartner 2004). The use of C. elegans is a valuable addition to genotoxicity assessment, as the nematode can be used as model organism for follow-up studies of in vitro testing and thus can improve the predictability for a possible genotoxic potential of a substance or treatment. With better predictability of genotoxicity, it would be possible to avoid unnecessary in vivo follow-up testing (and therefore replacement and reduction of animal testing). Genotoxicity testing in C. elegans is slowly getting more recognized, but validated methods are scarce. Besides the comet assay and rad-51 immunohistochemistry staining, very little is published for direct measurements of DNA damage in this model, and therefore a great need for additional, valid methods persists (Imanikia et al. 2016; Park et al. 2016; Toraason et al. 2021). Detecting the compound-induced genomic instability by the alkaline unwinding method in worms can be useful for (a) preliminary screening (high throughput), (b) as follow-up test of an in vitro positive result, (c) for mechanistic studies (the xenobiotic metabolism is highly conserved in C. elegans) and (d) exposure marker demonstrating that a substance is affecting the genomic stability. We are fully aware that the worm is a model organism with limitations, but it might provide a valuable addition to already existing strategies. The nematode is a multicellular and metabolizing organism, which is not given in cell lines or bacteria cultures (as used for the Ames test), where a metabolic activation system in form of liver-derived enzymes has to be additionally added via S9 fraction (OECD 2020). Additionally, the worm has a rapid life cycle and short generation time which will allow high throughput testing (Corsi et al. 2015; Nigon and Félix 2017). Most of the pathways involved in genomic integrity that are known through studies of bacteria, yeast, mammals, and human cell lines are also highly conserved in C. elegans, which makes the worm an experimental model greatly suited for research on processes involved in genomic stability (Elsakrmy et al. 2020; Gupta et al. 2021).
Limitations, opportunities, and future directions
For method development, L4 larvae were chosen since they bear a fully developed DNA repair system but are not yet reproducing. Additionally, incubation of the positive controls was conducted in the absence of E. coli to avoid bacterial interferences. The two positive controls tBOOH and BLM were used as proof of principle for the AU assay in C. elegans. Both substances are validated DNA damage inducers (directly and indirectly) and no bioactivation is required for either of the substances. However, many other xenobiotics show only a genotoxic potential after being metabolized. Common examples are benzo[a]pyrene (BaP) and nitrosamines (Anttila et al. 2011; Arlt et al. 2012; Bodhicharla et al. 2014). The great advantage of the nematode compared to in vitro models is that the toxicokinetic pathways (phase I + II metabolism) needed for bioactivation are relatively similar to higher eukaryotes (Hunt 2017). Phase I metabolizing enzymes are necessary for the oxidation, reduction, and hydrolysis of xenobiotics and are broadly expressed in somatic cells of C. elegans. Over 85 cytochrome P450 isoforms have been identified in the nematode (compared to ~ 60 in humans) and many have been associated with xenobiotic metabolism (Menzel et al. 2001). Investigating substances that might only show their genotoxic potential after bioactivation is therefore very well possible in the nematode, but one must be aware of the differences that do exist between worms and mammals. For example, cytochrome P450 requires a heme cofactor and the coenzyme cytochrome P450 reductase. While emb-8 is the worm´s homolog to the human P450 reductase, worms are not able to synthesize heme and need to scavenge this component from their diet (Hartman et al. 2021). Another metabolic difference can be found in the bioactivation of BaP, which causes the production of ROS and DNA adducts. In rodents and humans, BaP is predominantly metabolized by CYP1A1 leading ultimately to BaP-7,8-dihydrodiol-9,10-epoxide. While CYP1 enzymes do not exist in nematodes, studies still show the existence of DNA strand breaks in worms after BaP exposure, indicating a genotoxic potential of BaP caused by an alternative pathway of bioactivation (Abbass et al. 2021; Imanikia et al. 2016). An additional challenge of utilizing C. elegans for investigations regarding genomic stability is the current lack of data regarding enzyme activity, not only from metabolizing enzymes but also enzymes that are involved in DNA repair—making research in this area even more important.
The optimized and with acute genotoxins validated method provides a rapid genotoxicity evaluation in the model C. elegans. In future studies, the scope of the application will be extended to the investigations of known substances which are genotoxic upon metabolic activation, as well as being applied to more chronic exposure scenarios.
References
Abbass M, Chen Y, Arlt VM, Stürzenbaum SR (2021) Benzo[a]pyrene and Caenorhabditis elegans: defining the genotoxic potential in an organism lacking the classical CYP1A1 pathway. Arch Toxicol 95(3):1055–1069. https://doi.org/10.1007/s00204-020-02968-z
Anttila S, Raunio H, Hakkola J (2011) Cytochrome P450-mediated pulmonary metabolism of carcinogens: regulation and cross-talk in lung carcinogenesis. Am J Respir Cell Mol Biol 44(5):583–590. https://doi.org/10.1165/rcmb.2010-0189RT
Arlt VM, Poirier MC, Sykes SE et al (2012) Exposure to benzo[a]pyrene of hepatic cytochrome P450 reductase null (HRN) and P450 reductase conditional null (RCN) mice: detection of benzo[a]pyrene diol epoxide-DNA adducts by immunohistochemistry and 32P-postlabelling. Toxicol Lett 213(2):160–166. https://doi.org/10.1016/j.toxlet.2012.06.016
Barton HRD, Le-Gloahec N, Patin H (1998) Radical chemistry of tert-butyl hydroperoxide (TBHP). Part 2. Studies of the FeII–TBHP mechanism. N J Chem 22(6):565–568. https://doi.org/10.1039/A800562A
Bodhicharla R, Ryde IT, Prasad GL, Meyer JN (2014) The tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) induces mitochondrial and nuclear DNA damage in Caenorhabditis elegans. Environ Mol Mutagen 55(1):43–50. https://doi.org/10.1002/em.21815
Brenner S (1974) The genetics of Caenorhabditis elegans. Genetics 77(1):71–94
Committee ES (2011) Scientific opinion on genotoxicity testing strategies applicable to food and feed safety assessment. EFSA J 9(9):2379. https://doi.org/10.2903/j.efsa.2011.2379
Corsi AK, Wightman B, Chalfie M (2015) A transparent window into biology: a primer on Caenorhabditis elegans. Genetics 200(2):387–407. https://doi.org/10.1534/genetics.115.176099
Daniel FB, Haas DL, Pyle SM (1985) Quantitation of chemically induced DNA strand breaks in human cells via an alkaline unwinding assay. Anal Biochem 144(2):390–402. https://doi.org/10.1016/0003-2697(85)90132-0
Doke SK, Dhawale SC (2015) Alternatives to animal testing: a review. Saudi Pharmaceut J 23(3):223–229. https://doi.org/10.1016/j.jsps.2013.11.002
Elsakrmy N, Zhang-Akiyama Q-M, Ramotar D (2020) The base excision repair pathway in the nematode Caenorhabditis elegans. Front Cell Dev Biol 8:598860–598860. https://doi.org/10.3389/fcell.2020.598860
EMA/CHMP/ICH (2011) ICH guideline S2 (R1) on genotoxicity testing and data interpretation for pharmaceuticals intended for human use—Step 5
Erickson RP (2010) Somatic gene mutation and human disease other than cancer: an update. Mutat Res 705(2):96–106. https://doi.org/10.1016/j.mrrev.2010.04.002
Freires IA, Sardi JC, de Castro RD, Rosalen PL (2017) Alternative animal and non-animal models for drug discovery and development: bonus or burden? Pharm Res 34(4):681–686. https://doi.org/10.1007/s11095-016-2069-z
Garberg P, Akerblom EL, Bolcsfoldi G (1988) Evaluation of a genotoxicity test measuring DNA-strand breaks in mouse lymphoma cells by alkaline unwinding and hydroxyapatite elution. Mutat Res 203(3):155–176. https://doi.org/10.1016/0165-1161(88)90101-x
Gupta S, You P, SenGupta T, Nilsen H, Sharma K (2021) Crosstalk between different DNA repair pathways contributes to neurodegenerative diseases. Biol (basel) 10(2):163. https://doi.org/10.3390/biology10020163
Hartman JH, Widmayer SJ, Bergemann CM et al (2021) Xenobiotic metabolism and transport in Caenorhabditis elegans. J Toxicol Environ Health B Crit Rev 24(2):51–94. https://doi.org/10.1080/10937404.2021.1884921
Hartwig A, Klyszcz-Nasko H, Schlepegrell R, Beyersmann D (1993) Cellular damage by ferric nitrilotriacetate and ferric citrate in V79 cells: interrelationship between lipid peroxidation, DNA strand breaks and sister chromatid exchanges. Carcinogenesis 14(1):107–112. https://doi.org/10.1093/carcin/14.1.107
Helmer PO, Nicolai MM, Schwantes V, Bornhorst J, Hayen H (2021) Investigation of cardiolipin oxidation products as a new endpoint for oxidative stress in C. elegans by means of online two-dimensional liquid chromatography and high-resolution mass spectrometry. Free Radic Biol Med 162:216–224. https://doi.org/10.1016/j.freeradbiomed.2020.10.019
Hsieh CJ, Sun M, Osborne G et al (2019) Cancer Hazard Identification Integrating Human Variability: The Case of Coumarin. Int J Toxicol 38(6):501–552. https://doi.org/10.1177/1091581819884544
Hunt PR (2017) The C. elegans model in toxicity testing. J Appl Toxicol 37(1):50–59. https://doi.org/10.1002/jat.3357
Imanikia S, Galea F, Nagy E, Phillips DH, Stürzenbaum SR, Arlt VM (2016) The application of the comet assay to assess the genotoxicity of environmental pollutants in the nematode Caenorhabditis elegans. Environ Toxicol Pharmacol 45:356–361. https://doi.org/10.1016/j.etap.2016.06.020
Jackson SP, Bartek J (2009) The DNA-damage response in human biology and disease. Nature 461(7267):1071–1078. https://doi.org/10.1038/nature08467
Kawanishi S, Hiraku Y, Pinlaor S, Ma N (2006) Oxidative and nitrative DNA damage in animals and patients with inflammatory diseases in relation to inflammation-related carcinogenesis. Biol Chem 387(4):365–372. https://doi.org/10.1515/bc.2006.049
Kruszewski M, Iwaneńko T, Bartłomiejczyk T et al (2008) Hepatic iron content corresponds with the susceptibility of lymphocytes to oxidative stress in neonatal pigs. Mutat Res 657(2):146–149. https://doi.org/10.1016/j.mrgentox.2008.08.020
Lindahl T, Barnes DE (2000) Repair of endogenous DNA damage. Cold Spring Harb Symp Quant Biol 65:127–133. https://doi.org/10.1101/sqb.2000.65.127
Martı́n C, Martı́nez R, Navarro R, Ruiz-Sanz JI, Lacort M, Ruiz-Larrea MB (2001) tert-Butyl hydroperoxide-induced lipid signaling in hepatocytes: involvement of glutathione and free radicals11Abbreviations: [14C]-AA, [14C]-arachidonic acid; DCF, 2′,7′-dichlorofluorescein; DCFDA, 2′,7′-dichlorofluorescin diacetate; DTT, 1,4-dithiothreitol; MDA, malondialdehyde; PLA2, phospholipase A2; ROS, reactive oxygen species; TBARS, thiobarbituric acid reactive substances; and TBHP, tert-butyl hydroperoxide. Biochem Pharmacol 62(6):705–712. https://doi.org/10.1016/S0006-2952(01)00704-3
Menzel R, Bogaert T, Achazi R (2001) A systematic gene expression screen of Caenorhabditis elegans cytochrome P450 genes reveals CYP35 as strongly xenobiotic inducible. Arch Biochem Biophys 395(2):158–168. https://doi.org/10.1006/abbi.2001.2568
Mersch-Sundermann V, Knasmüller S, Wu X-j, Darroudi F, Kassie F (2004) Use of a human-derived liver cell line for the detection of cytoprotective, antigenotoxic and cogenotoxic agents. Toxicology 198(1):329–340. https://doi.org/10.1016/j.tox.2004.02.009
Moore SM, Hess SM, Jorgenson JW (2016) Extraction, enrichment, solubilization, and digestion techniques for membrane proteomics. J Proteome Res 15(4):1243–1252. https://doi.org/10.1021/acs.jproteome.5b01122
Müller WE, Zahn RK (1976) Effect of bleomycin on DNA, RNA, protein, chromatin and on cell transformation by oncogenic RNA viruses. Prog Biochem Pharmacol 11:28–47
Neumann C, Baesler J, Steffen G et al (2020) The role of poly(ADP-ribose) polymerases in manganese exposed Caenorhabditis elegans. J Trace Elem Med Biol 57:21–27. https://doi.org/10.1016/j.jtemb.2019.09.001
Nigon VM, Félix MA (2017) History of research on C. elegans and other free-living nematodes as model organisms. WormBook 2017:1–84. https://doi.org/10.1895/wormbook.1.181.1
OECD (2015) Genetic Toxicology Guidance Document: Second Commenting Round. Nov 30, 2015
OECD (2016) Series on Testing and Assessment, No. 238, ENV/JM/MONO 33
OECD (2020) Test No. 471: Bacterial Reverse Mutation Test, OECD Guidelines for the Testing of Chemicals, Section 4
Park S, Choi S, Ahn B (2016) DNA strand breaks in mitotic germ cells of Caenorhabditis elegans evaluated by comet assay. Mol Cells 39(3):204–210. https://doi.org/10.14348/molcells.2016.2206
Phillips DH, Arlt VM (2009) Genotoxicity: damage to DNA and its consequences. EXS 99:87–110. https://doi.org/10.1007/978-3-7643-8336-7_4
Stergiou L, Hengartner MO (2004) Death and more: DNA damage response pathways in the nematode C. elegans. Cell Death Differ 11(1):21–28. https://doi.org/10.1038/sj.cdd.4401340
Toraason E, Adler VL, Kurhanewicz NA et al (2021) Automated and customizable quantitative image analysis of whole Caenorhabditis elegans germlines. Genetics 217(3):10. https://doi.org/10.1093/genetics/iyab010
Vagasi AS, Rahman MM, Chaudhari SN, Kipreos ET (2017) Primary culture system for germ cells from Caenorhabditis elegans tumorous germline mutants. Bio Protoc 7(15):e2424. https://doi.org/10.21769/BioProtoc.2424
Valko M, Rhodes CJ, Moncol J, Izakovic M, Mazur M (2006) Free radicals, metals and antioxidants in oxidative stress-induced cancer. Chem Biol Interact 160(1):1–40. https://doi.org/10.1016/j.cbi.2005.12.009
Xie Y, Zhang Y, Zhang L-T, Zeng S-X, Guo Z-B, Zheng B-D (2013) Protective effects of alkaloid compounds from nelumbinis plumula on tert-butyl hydroperoxide-induced oxidative stress. Molecules 18(9):10285–10300
Xiong H, Pears C, Woollard A (2017) An enhanced C. elegans based platform for toxicity assessment. Sci Rep 7(1):9839–9839. https://doi.org/10.1038/s41598-017-10454-3
Yasui M, Fukuda T, Ukai A et al (2021) Weight of evidence approach using a TK gene mutation assay with human TK6 cells for follow-up of positive results in Ames tests: a collaborative study by MMS/JEMS. Genes Env 43(1):7. https://doi.org/10.1186/s41021-021-00179-1
Acknowledgements
We thank Vanessa Brinkmann and Gerhard Fritz (Heinrich Heine University Dusseldorf, Medical Faculty, Institute of Toxicology) for valuable contributions to the here presented work. The N2 (WT) and DC19 C. elegans strains were provided by the CGC, which is funded by NIH Office Research Infrastructure Programs (P40 oD010440). We further thank the German Research Foundation (DFG) (Research Unit TraceAge (FOR 2558 BO4103/4-2)).
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Experiments were designed and performed by MMN. Data analysis and interpretation were also done by MMN, JB and MMN wrote the manuscript. BW, AH and TS contributed to data interpretation, helped with ideas for experimental setup and revised the manuscript critically for important intellectual content. All authors were involved in compiling the manuscript and approved the final version. JB rendered this work possible.
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Nicolai, M.M., Witt, B., Hartwig, A. et al. A fast and reliable method for monitoring genomic instability in the model organism Caenorhabditis elegans. Arch Toxicol 95, 3417–3424 (2021). https://doi.org/10.1007/s00204-021-03144-7
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DOI: https://doi.org/10.1007/s00204-021-03144-7