0000000000816315

AUTHOR

José Castell

showing 2 related works from this author

Safer chemicals using less animals: kick-off of the European ONTOX project

2021

The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is receiving increasing attention around the world, and has found its way to legislation, in particular in the European Union. This is aligned by continuing high-level efforts of the European Commission to support development and implementation of 3Rs methods. In this respect, the European project called "ONTOX: ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment" was recently initiated with the goal to provide a functional and sustainable solution for advancing human risk assessment of chemicals without the use of animal…

Artificial intelligenceComputer science010501 environmental sciencesOntology (information science)In Vitro TechniquesAnimal Testing AlternativesToxicology01 natural sciencesRisk Assessment3Rs03 medical and health sciencesIn vitroSAFERAdverse Outcome PathwayToxicity TestsEuropean projectmedia_common.cataloged_instanceAnimalsHumansComputer SimulationEuropean UnionAnimal testingEuropean union0105 earth and related environmental sciencesExposure assessmentmedia_common0303 health sciencesOntologyIn silico030311 toxicology3. Good healthVariety (cybernetics)Gene OntologyRisk analysis (engineering)Systemic toxicityONTOXRisk assessment
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Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model?

2014

The EU FP6 project carcinoGENOMICS explored the combination of toxicogenomics and in vitro cell culture models for identifying organotypical genotoxic- and non-genotoxic carcinogen- specific gene signatures. Here the performance of its gene classifier, derived from exposure of metabolically competent human HepaRG cells to prototypical non-carcinogens (10 compounds) and hepatocarcinogens (20 compounds), is reported. Analysis of the data at the gene and the pathway level by using independent biostatistical approaches showed a distinct separation of genotoxic from non-genotoxic hepatocarcinogens and non-carcinogens (up to 88 % correct prediction). The most characteristic pathway responding to …

genotoxic carcinogensHepaRG cell linenon-genotoxic carcinogenspathways-based analysisliver-based in vitro modelsgene expression profiling610Original Articleinfo:eu-repo/classification/ddc/610
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