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@ARTICLE{Limonciel:127014,
      author       = {A. Limonciel and K. Moenks and S. Stanzel and G. L. Truisi
                      and C. Parmentier and L. Aschauer and A. Wilmes and L.
                      Richert and P. Hewitt and S. O. Mueller and A. Lukas and A.
                      Kopp-Schneider$^*$ and M. O. Leonard and P. Jennings},
      title        = {{T}ranscriptomics hit the target: {M}onitoring of
                      ligand-activated and stress response pathways for chemical
                      testing.},
      journal      = {Toxicology in vitro},
      volume       = {30},
      number       = {1 Pt A},
      issn         = {0887-2333},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2017-03040},
      pages        = {7 - 18},
      year         = {2015},
      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.},
      keywords     = {Hazardous Substances (NLM Chemicals) / Ligands (NLM
                      Chemicals) / Transcription Factors (NLM Chemicals)},
      cin          = {C060},
      ddc          = {610},
      cid          = {I:(DE-He78)C060-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:25596134},
      doi          = {10.1016/j.tiv.2014.12.011},
      url          = {https://inrepo02.dkfz.de/record/127014},
}