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Reha Yildirimman,
Gabriella Brolén,
Mireia Vilardell,
Gustav Eriksson,
Jane Synnergren,
Hans Gmuender,
Atanas Kamburov,
Magnus Ingelman-Sundberg,
José Castell,
Agustin Lahoz, Jos Kleinjans,
Joost van Delft,
Petter Björquist,
Ralf Herwig
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Reha Yildirimman,
Gabriella Brolén,
Mireia Vilardell,
Gustav Eriksson,
Jane Synnergren,
Hans Gmuender,
Atanas Kamburov,
Magnus Ingelman-Sundberg,
José Castell,
Agustin Lahoz, Jos Kleinjans,
Joost van Delft,
Petter Björquist,
Ralf Herwig
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Tatyana Y Doktorova,
Reha Yildirimman,
Mathieu Vinken,
Mireia Vilardell,
Tamara Vanhaecke,
Hans Gmuender,
Roque Bort,
Gabriella Brolen,
Gustav Holmgren,
Ruoya Li,
Christophe Chesne,
Joost van Delft, Jos Kleinjans,
Jose Castell,
Petter Bjorquist,
Ralf Herwig,
Vera Rogiers
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ABSTRACT: As the conventional approach to assess the potential of a chemical to cause cancer in humans still includes the 2-year rodent carcinogenicity bioassay, development of alternative methodologies is needed. In the present study, the transcriptomics responses following exposure to genotoxic (GTX) and non-genotoxic (NGTX) hepatocarcinogens and non-carcinogens (NC) in five liver-based in vitro models, namely conventional and epigenetically-stabilized cultures of primary rat hepatocytes, the human hepatoma-derived cell lines HepaRG and HepG2 and human embryonic stem cell-derived hepatocyte-like cells (hES-Heps), are examined. For full characterization of the systems, several bioinformatics approaches are employed including gene-based, ConsensusPathwayDB-based and classification analysis. They provide convincingly similar outcomes, namely that upon exposure to carcinogens, the HepaRG generates a gene classifier(1) able to discriminate the GTX carcinogens from the NGTX carcinogens and NC. The other in vitro models also yield cancer-relevant characteristic gene groups for the GTX exposure, but some genes are also deregulated by the NGTX carcinogens and NC. Irrespective of the tested in vitro model, the most uniformly expressed pathways following GTX exposure are the p53 and those that are subsequently-induced. The NGTX carcinogens triggered no characteristic cancer-relevant gene profiles in all liver-based in vitro systems. In conclusion, liver-based in vitro models coupled with transcriptomics techniques, especially in the case when the HepaRG cell line is used, represent valuable tools for obtaining insight into the mechanism of action and identification of GTX carcinogens.
Carcinogenesis 02/2013; · 5.70 Impact Factor
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ABSTRACT: The concept of mechanistic toxicogenomics implies that compound-induced changes in gene expression profiles provide valuable information about their mode of action. A growing number of research groups have presented evidence that whole-genome gene expression profiling techniques might be used as tools for in vivo and in vitro generation of gene signatures and elucidation of molecular mechanisms after exposure to toxic compounds. An important issue to be investigated is the in vivo relevance of in vitro-obtained data. In the current study, we compare the gene expression profiles generated in vitro, after exposing conventional and epigenetically stabilized primary rat hepatocytes to well-known genotoxic hepatocarcinogens (aflatoxin B1, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone and 2-nitrofluorene) with those derived in vivo after oral exposure of rats to these compounds. Similar statistical tools were applied on both sets of data. The major molecular pathways affected in the in vivo setting were DNA damage, detoxification and cell survival response, as previously described. In the conventional hepatocyte cultures, two of the three genotoxicants showed quite similar responses as in vivo with respect to these pathways. The third compound (2-nitrofluorene) revealed in vitro response which was not observed in vivo. In the epigenetically stabilized hepatocytes, in contrast to what was expected, the responses were less relevant for the in vivo situation. This study highlights the importance of in vitro/in vivo comparison of data that are generated using in vitro models and shows that conventional primary rat hepatocyte cultures represent an appropriate in vitro model to retrieve mechanistic information on the exposure to genotoxicants.
Archive für Toxikologie 09/2012; 86(11):1703-15. · 4.67 Impact Factor
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Joost van Delft,
Stan Gaj,
Matthias Lienhard,
Marcus Albrecht,
Alexander Kirpiy,
Karen Brauers,
Sandra Claessen,
Daneida Lizarraga,
Hans Lehrach,
Ralf Herwig, Jos Kleinjans
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ABSTRACT: Whole-genome transcriptome measurements are pivotal for characterizing molecular mechanisms of chemicals and predicting toxic classes, such as genotoxicity and carcinogenicity, from in vitro and in vivo assays. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome in a more complete and unbiased manner than DNA microarrays. Here, we applied this RNA-seq technology for the characterization of the transcriptomic responses in HepG2 cells upon exposure to benzo[a]pyrene (BaP), a well-known DNA damaging human carcinogen. Based on EnsEMBL genes, we demonstrate that RNA-seq detects ca 20% more genes than microarray-based technology, but almost 3-fold more significantly differentially expressed genes. Functional enrichment analyses show that RNA-seq yields more insight into the biology and mechanisms related to the toxic effects caused by BaP, i.e. 2- to 5-fold more affected pathways and biological processes. Additionally, we demonstrate that RNA-seq allows detecting alternative isoform expression in many genes, including regulators of cell death and DNA repair such as TP53, BCL2 and XPA, which are relevant for genotoxic responses. Moreover, potentially novel isoforms were found, such as fragments of known transcripts, transcripts with additional exons, intron retention or exon skipping events. The biological function(s) of these isoforms remain for the time-being unknown. Finally, we demonstrate that RNA-seq enables the investigation of allele-specific gene expression, although no changes could be observed. Our results provide evidence that RNA-seq is a powerful tool for toxicology, which, compared to microarrays, is capable of generating novel and valuable information at the transcriptome level for characterizing deleterious effects caused by chemicals.
Toxicological Sciences 08/2012; · 4.65 Impact Factor
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Kevin Hochstenbach,
D M van Leeuwen,
H Gmuender,
R W Gottschalk,
S B Stølevik,
U C Nygaard,
M Løvik,
B Granum,
E Namork,
H M Meltzer, J C Kleinjans,
J H M van Delft,
Henk van Loveren
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ABSTRACT: A crucial period for the development of the immune system occurs in utero. This results in a high fetal vulnerability to immunotoxic exposure, and indeed, immunotoxic effects have been reported, demonstrating negative effects on immune-related health outcomes and immune functionality. Within the NewGeneris cohort BraMat, a subcohort of the Norwegian Mother and Child Cohort Study (MoBa), immunotoxicity was demonstrated for polychlorinated biphenyls and dioxins, showing associations between estimated maternal intake levels and reduced measles vaccination responses in the offspring at the age of 3. The present study aimed to investigate this link at the transcriptomic level within the same BraMat cohort. To this end, whole-genome gene expression in cord blood was investigated and found to be associated with maternal Food Frequency Questionnaires-derived exposure estimates and with vaccination responses in children at 3 years of age. Because the literature reports gender specificity in the innate, humoral, and cell-mediated responses to viral vaccines, separate analysis for males and females was conducted. Separate gene sets for male and female neonates were identified, comprising genes significantly correlating with both 2,3,7,8-tetrachlorodibenzodioxin (TCDD) and polychlorinated biphenyls (PCB) exposure and with measles vaccination response. Noteworthy, genes correlating negatively with exposure in general show positive correlations with antibody levels and vice versa. For both sexes, these included immune-related genes, suggesting immunosuppressive effects of maternal exposure to TCDD and PCB at the transcriptomic level in neonates in relation to measles vaccination response 3 years later.
Toxicological Sciences 06/2012; 129(2):315-24. · 4.65 Impact Factor
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ABSTRACT: The lack of accurate in vitro assays for predicting in vivo toxicity of chemicals together with new legislations demanding replacement and reduction of animal testing has triggered the development of alternative methods. This study aimed at developing a transcriptomics-based in vitro prediction assay for in vivo genotoxicity. Transcriptomics changes induced in the human liver cell line HepG2 by 34 compounds after treatment for 12, 24, and 48 h were used for the selection of gene-sets that are capable of discriminating between in vivo genotoxins (GTX) and in vivo nongenotoxins (NGTX). By combining transcriptomics with publicly available results for these chemicals from standard in vitro genotoxicity studies, we developed several prediction models. These models were validated by using an additional set of 28 chemicals. The best prediction was achieved after stratification of chemicals according to results from the Ames bacterial gene mutation assay prior to transcriptomics evaluation after 24h of treatment. A total of 33 genes were selected for discriminating GTX from NGTX for Ames-positive chemicals and 22 for Ames-negative chemicals. Overall, this method resulted in 89% accuracy and 91% specificity, thereby clearly outperforming the standard in vitro test battery. Transcription factor network analysis revealed HNF3a, HNF4a, HNF6, androgen receptor, and SP1 as main factors regulating the expression of classifiers for Ames-positive chemicals. Thus, the classical bacterial gene mutation assay in combination with in vitro transcriptomics in HepG2 is proposed as an upgraded in vitro approach for predicting in vivo genotoxicity of chemicals holding a great promise for reducing animal experimentations on genotoxicity.
Carcinogenesis 05/2012; 33(7):1421-9. · 5.70 Impact Factor
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ABSTRACT: At present, substantial efforts are focused on the development of in vitro assays coupled with "omics" technologies for the identification of carcinogenic substances as an alternative to the classical 2-year rodent carcinogenicity bioassay. A prerequisite for the eventual regulatory acceptance of such assays, however, is the in vivo relevance of the observed in vitro findings. In the current study, hepatocarcinogen-induced gene expression profiles generated after the exposure of conventional cultures of primary rat hepatocytes to three non-genotoxic carcinogens (methapyrilene hydrochloride, piperonyl butoxide, and Wy-14643), three genotoxic carcinogens (aflatoxin B1, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, and 2-nitrofluorene), and two non-carcinogens (nifedipine and clonidine) are compared with previously obtained in vivo data after oral administration for up to 14 days of the same hepatocarcinogens to rats. In addition to the comparison of deregulated genes and functions per compound between in vivo and in vitro models, the major discriminating cellular pathways found in vivo in livers of exposed rats were examined for deregulation in vitro. Further, in vivo-derived gene signatures for the identification of genotoxic versus non-genotoxic carcinogens are used to classify in vitro-tested hepatocarcinogens and non-carcinogens. In the primary hepatocyte cultures, two out of the three tested genotoxic carcinogens mimicked the in vivo-relevant DNA damage response and were correctly assessed. Exposure to the non-genotoxic hepatocarcinogens, however, triggered a relatively weak response in the in vitro system, with no clear similarities to in vivo. This study contributes to the further optimization of toxicogenomics predictive tools when applied in in vitro settings.
Archive für Toxikologie 04/2012; 86(9):1399-411. · 4.67 Impact Factor
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Susanna-Assunta Sansone,
Philippe Rocca-Serra,
Dawn Field,
Eamonn Maguire,
Chris Taylor,
Oliver Hofmann,
Hong Fang,
Steffen Neumann,
Weida Tong,
Linda Amaral-Zettler, [......],
Dorothy Reilly,
Magali Roux,
Caroline E Shamu,
Catherine A Shang,
Christoph Steinbeck,
Anne Trefethen,
Bryn Williams-Jones,
Katherine Wolstencroft,
Ioannis Xenarios,
Winston Hide
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ABSTRACT: To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
Nature Genetics 02/2012; 44(2):121-6. · 35.53 Impact Factor
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ABSTRACT: The integration of different 'omics' technologies has already been shown in several in vivo studies to offer a complementary insight into cellular responses to toxic challenges. Being interested in developing in vitro cellular models as alternative to animal-based toxicity assays, we hypothesize that combining transcriptomics and metabonomics data improves the understanding of molecular mechanisms underlying the effects caused by a toxic compound also in vitro in human cells. To test this hypothesis, and with the focus on non-genotoxic carcinogenesis as an endpoint of toxicity, in the present study, the human hepatocarcinoma cell line HepG2 was exposed to the well-known environmental carcinogen 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD).
Transcriptomics as well as metabonomics analyses demonstrated changes in TCDD-exposed HepG2 in common metabolic processes, e.g. amino acid metabolism, of which some of the changes only being confirmed if both 'omics' were integrated. In particular, this integrated analysis identified unique pathway maps involved in receptor-mediated mechanisms, such as the G-protein coupled receptor protein (GPCR) signaling pathway maps, in which the significantly up-regulated gene son of sevenless 1 (SOS1) seems to play an important role. SOS1 is an activator of several members of the RAS superfamily, a group of small GTPases known for their role in carcinogenesis.
The results presented here were not only comparable with other in vitro studies but also with in vivo studies. Moreover, new insights on the molecular responses caused by TCDD exposure were gained by the cross-omics analysis.
BMC Systems Biology 08/2011; 5:139. · 3.15 Impact Factor
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Reha Yildirimman,
Gabriella Brolén,
Mireia Vilardell,
Gustav Eriksson,
Jane Synnergren,
Hans Gmuender,
Atanas Kamburov,
Magnus Ingelman-Sundberg,
José Castell,
Agustin Lahoz, Jos Kleinjans,
Joost van Delft,
Petter Björquist,
Ralf Herwig
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ABSTRACT: Hepatocyte-like cells derived from the differentiation of human embryonic stem cells (hES-Hep) have potential to provide a human relevant in vitro test system in which to evaluate the carcinogenic hazard of chemicals. In this study, we have investigated this potential using a panel of 15 chemicals classified as noncarcinogens, genotoxic carcinogens, and nongenotoxic carcinogens and measured whole-genome transcriptome responses with gene expression microarrays. We applied an ANOVA model that identified 592 genes highly discriminative for the panel of chemicals. Supervised classification with these genes achieved a cross-validation accuracy of > 95%. Moreover, the expression of the response genes in hES-Hep was strongly correlated with that in human primary hepatocytes cultured in vitro. In order to infer mechanistic information on the consequences of chemical exposure in hES-Hep, we developed a computational method that measures the responses of biochemical pathways to the panel of treatments and showed that these responses were discriminative for the three toxicity classes and linked to carcinogenesis through p53, mitogen-activated protein kinases, and apoptosis pathway modules. It could further be shown that the discrimination of toxicity classes was improved when analyzing the microarray data at the pathway level. In summary, our results demonstrate, for the first time, the potential of human embryonic stem cell--derived hepatic cells as an in vitro model for hazard assessment of chemical carcinogenesis, although it should be noted that more compounds are needed to test the robustness of the assay.
Toxicological Sciences 08/2011; 124(2):278-90. · 4.65 Impact Factor
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Kim Vande Loock,
Eleni Fthenou,
Ilse Decordier,
Georgia Chalkiadaki,
Maria Keramarou,
Gina Plas,
Mathieu Roelants, Jos Kleinjans,
Leda Chatzi,
Franco Merlo,
Manolis Kogevinas,
Micheline Kirsch-Volders
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ABSTRACT: The use of cancer-related biomarkers in newborns has been very limited.
We investigated the formation of micronuclei (MN) in full-term and preterm newborns and their mothers from the Rhea cohort (Crete), applying for the first time in cord blood a validated semiautomated analysis system, in both mono- and binucleated T lymphocytes.
We assessed MN frequencies in peripheral blood samples from the mothers and in umbilical cord blood samples. We calculated MN in mononucleated (MNMONO) and binucleated (MNBN) T lymphocytes and the cytokinesis block proliferation index (CBPI) in 251 newborns (224 full term) and 223 mothers, including 182 mother-child pairs. Demographic and lifestyle characteristics were collected.
We observed significantly higher MNBN and CBPI levels in mothers than in newborns. In newborns, MNMONO and MNBN were correlated (r = 0.35, p < 0.001), and we found a moderate correlation between MNMONO in mothers and newborns (r = 0.26, p < 0.001). MNMONO frequencies in newborns were positively associated with the mother's body mass index and inversely associated with gestational age and mother's age, but we found no significant predictors of MNBN or CBPI in newborns.
Although confirmation is needed by a larger study population, the results indicate the importance of taking into account both mono- and binucleated T lymphocytes for biomonitoring of newborns, because the first reflects damage expressed during in vivo cell division and accumulated in utero, and the latter includes additional damage expressed as MN during the in vitro culture step.
Environmental Health Perspectives 05/2011; 119(10):1460-5. · 7.04 Impact Factor
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ABSTRACT: In vitro cell systems together with omics methods represent promising alternatives to conventional animal models for toxicity testing. Transcriptomic and proteomic approaches have been widely applied in vitro but relatively few studies have used metabolomics. Therefore, the goal of the present study was to develop an untargeted methodology for performing reproducible metabolomics on in vitro systems. The human liver cell line HepG2, and the well-known hepatotoxic and non-genotoxic carcinogen 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), were used as the in vitro model system and model toxicant, respectively.
The study focused on the analysis of intracellular metabolites using NMR, LC-MS and GC-MS, with emphasis on the reproducibility and repeatability of the data. State of the art pre-processing and alignment tools and multivariate statistics were used to detect significantly altered levels of metabolites after exposing HepG2 cells to TCDD. Several metabolites identified using databases, literature and LC-nanomate-Orbitrap analysis were affected by the treatment. The observed changes in metabolite levels are discussed in relation to the reported effects of TCDD.
Untargeted profiling of the polar and apolar metabolites of in vitro cultured HepG2 cells is a valid approach to studying the effects of TCDD on the cell metabolome. The approach described in this research demonstrates that highly reproducible experiments and correct normalization of the datasets are essential for obtaining reliable results. The effects of TCDD on HepG2 cells reported herein are in agreement with previous studies and serve to validate the procedures used in the present work.
BMC Genomics 05/2011; 12:251. · 4.07 Impact Factor
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Sarah Adler,
David Basketter,
Stuart Creton,
Olavi Pelkonen,
Jan van Benthem,
Valérie Zuang,
Klaus Ejner Andersen,
Alexandre Angers-Loustau,
Aynur Aptula,
Anna Bal-Price, [......],
Greet Schoeters,
Michael Schwarz,
Rositsa Serafimova,
Hanna Tähti,
Emanuela Testai,
Joost van Delft,
Henk van Loveren,
Mathieu Vinken,
Andrew Worth,
José-Manuel Zaldivar
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ABSTRACT: The 7th amendment to the EU Cosmetics Directive prohibits to put animal-tested cosmetics on the market in Europe after 2013. In that context, the European Commission invited stakeholder bodies (industry, non-governmental organisations, EU Member States, and the Commission's Scientific Committee on Consumer Safety) to identify scientific experts in five toxicological areas, i.e. toxicokinetics, repeated dose toxicity, carcinogenicity, skin sensitisation, and reproductive toxicity for which the Directive foresees that the 2013 deadline could be further extended in case alternative and validated methods would not be available in time. The selected experts were asked to analyse the status and prospects of alternative methods and to provide a scientifically sound estimate of the time necessary to achieve full replacement of animal testing. In summary, the experts confirmed that it will take at least another 7-9 years for the replacement of the current in vivo animal tests used for the safety assessment of cosmetic ingredients for skin sensitisation. However, the experts were also of the opinion that alternative methods may be able to give hazard information, i.e. to differentiate between sensitisers and non-sensitisers, ahead of 2017. This would, however, not provide the complete picture of what is a safe exposure because the relative potency of a sensitiser would not be known. For toxicokinetics, the timeframe was 5-7 years to develop the models still lacking to predict lung absorption and renal/biliary excretion, and even longer to integrate the methods to fully replace the animal toxicokinetic models. For the systemic toxicological endpoints of repeated dose toxicity, carcinogenicity and reproductive toxicity, the time horizon for full replacement could not be estimated.
Archive für Toxikologie 05/2011; 85(5):367-485. · 4.67 Impact Factor
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ABSTRACT: Biomarkers were measured in residents of Wilrijk and Hoboken, industrial suburbs of the city of Antwerp, and of Peer, a rural municipality in Flanders, Belgium. Persons with known occupational exposures to toxic compounds or commuting over long distances were excluded. Here, we report the hypoxanthine phosphoribosyltransferase gene (HPRT) variant frequencies for 99 non-smoking women aged 50-65 years. HPRT values above the detection limit (V(fpos) values) were observed for 43 subjects (21 from Peer, 22 from Antwerp). The median (10th to 90th percentiles) HPRT variant frequency (V(fpos)) in peripheral lymphocytes was 9.59 (3.44-56.99) for Peer and 3.57 (1.57-13.96) for Antwerp. The V(fpos) value was significantly higher in Peer than in Antwerp, both in terms of crude data (p=0.011) and after correction for age, level of education, smoking status, serum level of selenium and body mass index through analysis of covariance (p=0.011). For the total study population, serum lead concentration showed a non-significant positive correlation with lnV(fpos). In addition, subjects with a blood lead concentration above the median tended to have higher V(fpos) values (9.45x10(-6) for 'high' group versus 5.21x10(-6) for 'low' group; p=0.077 after correction for confounding). Subjects with a serum selenium level above the median tended to have lower V(fpos) values (4.99x10(-6) for 'high' group versus 9.83x10(-6) for 'low' group; p=0.051 after correction for confounding). These data are consistent with an indirect genotoxic effect of lead and with an antimutagenic effect of selenium.
Biomarkers 01/2010; 9(1):71-84. · 2.21 Impact Factor
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ABSTRACT: :Previously, we developed a combined dictionary dubbed Chemlist for the identification of small molecules and drugs in text based on a number of publicly available databases and tested it on an annotated corpus. To achieve an acceptable recall and precision we used a number of automatic and semi-automatic processing steps together with disambiguation rules. However, it remained to be investigated which impact an extensive manual curation of a multi-source chemical dictionary would have on chemical term identification in text. ChemSpider is a chemical database that has undergone extensive manual curation aimed at establishing valid chemical name-to-structure relationships.
Journal of Cheminformatics 01/2010; 2(1):4. · 3.42 Impact Factor
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ABSTRACT: From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has the power to recognize the diverse representation of chemical information in the literature and map the chemicals to their database identifiers.
We developed a dictionary for the identification of small molecules and drugs in text, combining information from UMLS, MeSH, ChEBI, DrugBank, KEGG, HMDB and ChemIDplus. Rule-based term filtering, manual check of highly frequent terms and disambiguation rules were applied. We tested the combined dictionary and the dictionaries derived from the individual resources on an annotated corpus, and conclude the following: (i) each of the different processing steps increase precision with a minor loss of recall; (ii) the overall performance of the combined dictionary is acceptable (precision 0.67, recall 0.40 (0.80 for trivial names); (iii) the combined dictionary performed better than the dictionary in the chemical recognizer OSCAR3; (iv) the performance of a dictionary based on ChemIDplus alone is comparable to the performance of the combined dictionary.
The combined dictionary is freely available as an XML file in Simple Knowledge Organization System format on the web site http://www.biosemantics.org/chemlist.
Bioinformatics 09/2009; 25(22):2983-91. · 5.47 Impact Factor
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Cancer Epidemiology Biomarkers & Prevention 02/2009; 18(1):5-10. · 4.12 Impact Factor
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Mathieu Vinken,
Tatyana Doktorova,
Heidrun Ellinger-Ziegelbauer,
Hans-Jürgen Ahr,
Edward Lock,
Paul Carmichael,
Erwin Roggen,
Joost van Delft, Jos Kleinjans,
José Castell, [......],
Timothy Ebbels,
Toby Athersuch,
Susanna-Assunta Sansone,
Philippe Rocca-Serra,
Rob Stierum,
Paul Jennings,
Walter Pfaller,
Hans Gmuender,
Tamara Vanhaecke,
Vera Rogiers
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ABSTRACT: Recent changes in the European legislation of chemical-related substances have forced the scientific community to speed up the search for alternative methods that could partly or fully replace animal experimentation. The Sixth Framework Program project carcinoGENOMICS was specifically raised to develop omics-based in vitro screens for testing the carcinogenic potential of chemical compounds in a pan-European context. This paper provides an in-depth analysis of the complexity of choosing suitable reference compounds used for creating and fine-tuning the in vitro carcinogenicity assays. First, a number of solid criteria for the selection of the model compounds are defined. Secondly, the strategy followed, including resources consulted, is described and the selected compounds are briefly illustrated. Finally, limitations and problems encountered during the selection procedure are discussed. Since selecting an appropriate set of chemicals is a frequent impediment in the early stages of similar research projects, the information provided in this paper might be extremely valuable.
Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis 05/2008; 659(3):202-10. · 2.85 Impact Factor
