Literature DB >> 30713482

Highlight report: Toxicogenomics atlas of rat hepatotoxicants.

Florian Seidel1.   

Abstract

Entities:  

Year:  2018        PMID: 30713482      PMCID: PMC6341424          DOI: 10.17179/excli2018-2000

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


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Transcriptomics has developed into an invaluable tool in chemical hazard identification (Godoy et al., 2013[5], 2015[7], 2018[6]; Lohr et al., 2015[13]; Ellinger-Ziegelbauer et al., 2011[3]; Waldmann et al., 2014[20]; Balmer et al., 2014[1]). The pattern of deregulated genes in exposed cells gives first evidence of the involved mechanisms of toxicity (Rempel et al., 2015[15]; Stemmer et al., 2007[17]; Leist et al., 2017[12]; Rodrigues et al., 2018[16]). A milestone in this field of research was the establishment of the toxicogenomics directory of chemically exposed human hepatocytes (Grinberg et al., 2014[10]). A key message of this study was that stereotypical expression responses exist, whereby a similar set of genes is deregulated after exposure of human hepatocytes to different compounds. A relatively large fraction of these stereotypical stress response genes are also up- or downregulated in human liver disease, such as non-alcoholic steatohepatitis, cirrhosis or hepatocellular cancer (Grinberg et al., 2014[10]). While the human toxicogenomics directory has been widely used for follow-up studies, a similar database for rat hepatocytes has not yet been established. To bridge this gap, Marianna Grinberg and colleagues from Dortmund University recently published the corresponding directory of rat hepatotoxicants (Grinberg et al., 2018[9]). Laboratory animals offer the advantage that liver tissue after exposure to test compounds can be compared to cultivated hepatocytes exposed to the same compounds. For this purpose, the authors analyzed microarray expression data from 162 test substances that were tested in a concentration-dependent manner in rat livers in vivo and in cultivated hepatocytes. Based on this comprehensive data set genes were analyzed that showed a similar response in vitro and in vivo. Next, genes were identified that were most frequently deregulated by the test compounds. This resulted in seven genes with the highest coverage of compounds (Cyp1a1, Vgt2b1, Cdkn1a, Mdm2, Aldh1a1, Cyp4a3 and Ehhadh). Analysis of these genes in hepatocytes incubated with compounds not present in the above mentioned set of 162 test substances showed that at least one of these seven genes was also deregulated in the set of independent compounds. Currently, hepatotoxicity represents a major research field in toxicology (Vartak et al., 2016[19]; Godoy et al., 2016[8]; Bolt, 2017[2]; Hassan, 2016[11]). Techniques for the reliable identification of compounds that will induce liver injury of humans are urgently needed (Stöber, 2016[18]; Ghallab, 2017[4]; Paech et al., 2017[14]). In this field of research the recently established human and rat toxicogenomics directories represent invaluable resources.
  20 in total

1.  The enhanced value of combining conventional and "omics" analyses in early assessment of drug-induced hepatobiliary injury.

Authors:  Heidrun Ellinger-Ziegelbauer; Melanie Adler; Alexander Amberg; Arnd Brandenburg; John J Callanan; Susan Connor; Michael Fountoulakis; Hans Gmuender; Albrecht Gruhler; Philip Hewitt; Mark Hodson; Katja A Matheis; Diane McCarthy; Marian Raschke; Björn Riefke; Christina S Schmitt; Max Sieber; Alexandra Sposny; Laura Suter; Brian Sweatman; Angela Mally
Journal:  Toxicol Appl Pharmacol       Date:  2010-10-01       Impact factor: 4.219

2.  Carcinogen-specific gene expression profiles in short-term treated Eker and wild-type rats indicative of pathways involved in renal tumorigenesis.

Authors:  Kerstin Stemmer; Heidrun Ellinger-Ziegelbauer; Hans-Juergen Ahr; Daniel R Dietrich
Journal:  Cancer Res       Date:  2007-05-01       Impact factor: 12.701

Review 3.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

4.  Gene networks and transcription factor motifs defining the differentiation of stem cells into hepatocyte-like cells.

Authors:  Patricio Godoy; Wolfgang Schmidt-Heck; Karthick Natarajan; Baltasar Lucendo-Villarin; Dagmara Szkolnicka; Annika Asplund; Petter Björquist; Agata Widera; Regina Stöber; Gisela Campos; Seddik Hammad; Agapios Sachinidis; Umesh Chaudhari; Georg Damm; Thomas S Weiss; Andreas Nüssler; Jane Synnergren; Karolina Edlund; Barbara Küppers-Munther; David C Hay; Jan G Hengstler
Journal:  J Hepatol       Date:  2015-05-25       Impact factor: 25.083

5.  A transcriptome-based classifier to identify developmental toxicants by stem cell testing: design, validation and optimization for histone deacetylase inhibitors.

Authors:  Eugen Rempel; Lisa Hoelting; Tanja Waldmann; Nina V Balmer; Stefan Schildknecht; Marianna Grinberg; John Antony Das Gaspar; Vaibhav Shinde; Regina Stöber; Rosemarie Marchan; Christoph van Thriel; Julia Liebing; Johannes Meisig; Nils Blüthgen; Agapios Sachinidis; Jörg Rahnenführer; Jan G Hengstler; Marcel Leist
Journal:  Arch Toxicol       Date:  2015-08-14       Impact factor: 5.153

6.  Design principles of concentration-dependent transcriptome deviations in drug-exposed differentiating stem cells.

Authors:  Tanja Waldmann; Eugen Rempel; Nina V Balmer; André König; Raivo Kolde; John Antonydas Gaspar; Margit Henry; Jürgen Hescheler; Agapios Sachinidis; Jörg Rahnenführer; Jan G Hengstler; Marcel Leist
Journal:  Chem Res Toxicol       Date:  2014-01-21       Impact factor: 3.739

7.  Toxicogenomics directory of chemically exposed human hepatocytes.

Authors:  Marianna Grinberg; Regina M Stöber; Karolina Edlund; Eugen Rempel; Patricio Godoy; Raymond Reif; Agata Widera; Katrin Madjar; Wolfgang Schmidt-Heck; Rosemarie Marchan; Agapios Sachinidis; Dimitry Spitkovsky; Jürgen Hescheler; Helena Carmo; Marcelo D Arbo; Bob van de Water; Steven Wink; Mathieu Vinken; Vera Rogiers; Sylvia Escher; Barry Hardy; Dragana Mitic; Glenn Myatt; Tanja Waldmann; Adil Mardinoglu; Georg Damm; Daniel Seehofer; Andreas Nüssler; Thomas S Weiss; Axel Oberemm; Alfons Lampen; Mirjam M Schaap; Mirjam Luijten; Harry van Steeg; Wolfgang E Thasler; Jos C S Kleinjans; Rob H Stierum; Marcel Leist; Jörg Rahnenführer; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2014-11-16       Impact factor: 5.153

8.  From transient transcriptome responses to disturbed neurodevelopment: role of histone acetylation and methylation as epigenetic switch between reversible and irreversible drug effects.

Authors:  Nina V Balmer; Stefanie Klima; Eugen Rempel; Violeta N Ivanova; Raivo Kolde; Matthias K Weng; Kesavan Meganathan; Margit Henry; Agapios Sachinidis; Michael R Berthold; Jan G Hengstler; Jörg Rahnenführer; Tanja Waldmann; Marcel Leist
Journal:  Arch Toxicol       Date:  2014-06-17       Impact factor: 5.153

9.  Identification of sample annotation errors in gene expression datasets.

Authors:  Miriam Lohr; Birte Hellwig; Karolina Edlund; Johanna S M Mattsson; Johan Botling; Marcus Schmidt; Jan G Hengstler; Patrick Micke; Jörg Rahnenführer
Journal:  Arch Toxicol       Date:  2015-11-25       Impact factor: 5.153

10.  Cholestasis-induced adaptive remodeling of interlobular bile ducts.

Authors:  Nachiket Vartak; Amruta Damle-Vartak; Beate Richter; Olaf Dirsch; Uta Dahmen; Seddik Hammad; Jan G Hengstler
Journal:  Hepatology       Date:  2016-01-14       Impact factor: 17.425

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