| Literature DB >> 25596134 |
Alice Limonciel1, Konrad Moenks2, Sven Stanzel3, Germaine L Truisi4, Céline Parmentier5, Lydia Aschauer6, Anja Wilmes6, Lysiane Richert7, Philip Hewitt8, Stefan O Mueller4, Arno Lukas2, Annette Kopp-Schneider3, Martin O Leonard9, Paul Jennings6.
Abstract
High content omic methods provide a deep insight into cellular events occurring upon chemical exposure of a cell population or tissue. However, this improvement in analytic precision is not yet matched by a thorough understanding of molecular mechanisms that would allow an optimal interpretation of these biological changes. For transcriptomics (TCX), one type of molecular effects that can be assessed already is the modulation of the transcriptional activity of a transcription factor (TF). As more ChIP-seq datasets reporting genes specifically bound by a TF become publicly available for mining, the generation of target gene lists of TFs of toxicological relevance becomes possible, based on actual protein-DNA interaction and modulation of gene expression. In this study, we generated target gene signatures for Nrf2, ATF4, XBP1, p53, HIF1a, AhR and PPAR gamma and tracked TF modulation in a large collection of in vitro TCX datasets from renal and hepatic cell models exposed to clinical nephro- and hepato-toxins. The result is a global monitoring of TF modulation with great promise as a mechanistically based tool for chemical hazard identification.Entities:
Keywords: Hazard identification; Stress response pathway; Transcription factor; Transcriptomics
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Year: 2015 PMID: 25596134 DOI: 10.1016/j.tiv.2014.12.011
Source DB: PubMed Journal: Toxicol In Vitro ISSN: 0887-2333 Impact factor: 3.500