Unknown,Transcriptomics,Genomics,Proteomics

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MicroRNA and mRNA biomarkers for short-term in vivo genotoxic and non-genotoxic carcinogen classification

ABSTRACT: Many innovative techniques and scientific improvements are available to tackle societal concerns, like public health safety and confining the risk of cancerous exposure to chemicals, but have not been thoroughly tested and implicated yet. We investigated if microRNA and mRNA transcription profiles can be implemented in a short-term carcinogen classifier assay. Our study is additionally focusing on the drawbacks of present-day carcinogen screening strategies and also aims to contribute to a more ethical approach towards animal use and welfare within risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mRNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. [microRNA profling] 68 hepatic samples in total, 3 control untreated samples, replicates per treated group n=3-4

ORGANISM(S): Mus musculus

SUBMITTER: Kasper Derks

PROVIDER: E-GEOD-43847 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Many innovative techniques and scientific improvements are available to tackle societal concerns, like public health safety and confining the risk of cancerous exposure to chemicals, but have not been thoroughly tested and implicated yet. We investigated if microRNA and mRNA transcription profiles can be implemented in a short-term carcinogen classifier assay. Our study is additionally focusing on the drawbacks of present-day carcinogen screening strategies and also aims to contribute to a more ethical approach towards animal use and welfare within risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. [mRNA profling] 96 hepatic samples in total, 8 control untreated samples, replicates per treated group n=4-6

Project description:The primary goal of toxicology and safety testing is to identify agents that have the potential to cause adverse effects in humans. Unfortunately, many of these tests have not changed significantly in the past 30 years and most are inefficient, costly, and rely heavily on the use of animals. The rodent cancer bioassay is one of these safety tests and was originally established as a screen to identify potential carcinogens that would be further analyzed in human epidemiological studies. Today, the rodent cancer bioassay has evolved into the primary means to determine the carcinogenic potential of a chemical and generate quantitative information on dose-response behavior in chemical risk assessments. Due to the resource-intensive nature of these studies, each bioassay costs $2 to $4 million and takes over three years to complete. Over the past 30 years, only 1,468 chemicals have been tested in a rodent cancer bioassay. By comparison, approximately 9,000 chemicals are used by industry in quantities greater than 10,000 lbs and nearly 90,000 chemicals have been inventoried by the U.S. Environmental Protection Agency as part of the Toxic Substances Control Act. Given the disparity between the number of chemicals tested in a rodent cancer bioassay and the number of chemicals used by industry, a more efficient and economical system of identifying chemical carcinogens needs to be developed. Experiment Overall Design: Five-week old female B6C3F1 mice were exposed for 13 weeks in the following dose groups: 1) 1,5-Naphthalenediamine, CAS No. 2243-62-1, feed, 2000 ppm, positive lung carcinogen; 2) 2,3-Benzofuran, CAS No. 271-89-6, gavage, 240 mg/kg, positive lung carcinogen; 3) 2,2-Bis(bromomethyl)-1,3-propanediol, CAS No. 3296-90-0, feed, 1250 ppm, positive lung carcinogen; 4) N-Methylolacrylamide, CAS No. 924-42-5, gavage (water), 50 mg/kg, positive lung carcinogen; 5) 1,2-Dibromoethane, CAS No. 106-93-4, gavage (corn oil), 62 mg/kg, positive lung carcinogen; 6) Coumarin, CAS No. 91-64-5, gavage (corn oil), 200 mg/kg, positive lung carcinogen; 7) Benzene, CAS No. 71-43-2, gavage (corn oil), 100 mg/kg, positive lung carcinogen; 8) N-(1-naphthyl)ethylenediamine dihydrochloride, CAS No. 1465-25-4, feed, 2000 ppm, negative lung carcinogen; 9) Pentachloronitrobenzene, CAS No. 82-68-8, feed, 8187 ppm, negative lung carcinogen; 10) 4-Nitroanthranilic acid, CAS No. 619-17-0, feed, 10000 ppm, negative lung carcinogen; 11) 2-Chloromethylpyridine hydrochloride, CAS No. 6959-47-3, gavage (water), 250 mg/kg, negative lung carcinogen; 12) Diazinon, CAS No. 333-41-5, feed, 200 ppm, negative lung carcinogen; 13) Malathion, CAS No. 121-75-5, feed, 16000 ppm, negative lung carcinogen; 14) Corn oil control, gavage; 15) Water control, gavage; 16) Rodent diet control, feed. Feed animals were exposed 7 days/week and gavage animals were exposed 5 days/week (5 ml/kg). After 13 weeks, animals were euthanized and lungs were collected. The right lobe was used for microarray analysis. Microarray analysis was performed on the lungs of three to four mice per treatment group.

Project description:Efforts to develop alternatives which can at least partially replace some of the currently used in vivo tests are ongoing. The recently ended FP6 European project carcinoGENOMICS had the goal to use the combination of toxicogenomics and in vitro cell culture models for identification of genotoxic- and non-genotoxic carcinogen-specific gene signatures. In this study is presented a part of the outcome of the project and in particular the performance of the gene classifier derived after exposure of the HepaRG cell line to prototypical hepatocarcinogens. Upon analyzing the data at a gene and a pathway level by using diverse biostatistical approaches, a clear-cut separation of the genotoxic from the non-genotoxic hepatocarcinogens and non-carcinogens was achieved (up to 88% correct prediction). The most characteristic pathway for genotoxic exposure was DNA damage. Further to show the robustness of the HepaRG model, the interlaboratory reproducibility of 3 blindly tested compounds was assessed. The results showed between 20% and 35% reproducibility. The subsequent classification of the 3 blindly tested compounds resulted in correct prediction of the genotoxicant, whereas the other two compounds were misclassified. In conclusion, the combination of transcriptomics and HepaRG in vitro cell model provides a solid basis for the detection of the genotoxic potential of unknown chemicals. HepaRG cells were exposed to 15 selected compounds for 72 hours, i.e. 5 GTX (N-nitrosomorpholine, NMP; Hydroquinone, HQO; Hydrazine dihydrochloride, HHC; 2-acetylaminofluorene, TAF; 2-amino-3-methylimidazo(4,5-f)quinoline, AMQ), 5 NGTX (Fumonisin B1, FMB; Cyclosporine A, CsA; Acetamide, ACE; Diethylhexyl Phthalate, DHP; Ethanol, ETH), 5 NC (4-acetylaminofluorene, FAF; D,L-Menthol, DLM; Benzoin, BEN; Benzyl Alcohol, BEA; Triclosan, TRI). The IC10 concentrations (reducing cell viability by 10%) were determined by a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide test (MTT test) (number of replicates n=3). Further RNA samples were generated by exposure of the HepaRG cells to the MTT-determined IC10 for a period of 24h and 72h. Complementary RNA targets were prepared and hybridized according to the manufacturer's procedures on high-density oligonucleotide microarrays (i.e. Affymetrix U133 Plus 2.0 GeneChip). Finally,alaysis was performed at a gene and pathway level. In the analysis, control (DMSO) samples were re-normalized with several sample groups and new processed data were created for each analysis. Thus, some of the Samples in this Series represent a re-analysis of other Samples and CEL files are identical.

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MicroRNA and mRNA biomarkers for short-term in vivo genotoxic and non-genotoxic carcinogen classification

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