Literature DB >> 18514569

The carcinoGENOMICS project: critical selection of model compounds for the development of omics-based in vitro carcinogenicity screening assays.

Mathieu Vinken1, Tatyana Doktorova, Heidrun Ellinger-Ziegelbauer, Hans-Jürgen Ahr, Edward Lock, Paul Carmichael, Erwin Roggen, Joost van Delft, Jos Kleinjans, José Castell, Roque Bort, Teresa Donato, Michael Ryan, Raffaella Corvi, Hector Keun, Timothy Ebbels, Toby Athersuch, Susanna-Assunta Sansone, Philippe Rocca-Serra, Rob Stierum, Paul Jennings, Walter Pfaller, Hans Gmuender, Tamara Vanhaecke, Vera Rogiers.   

Abstract

Recent changes in the European legislation of chemical-related substances have forced the scientific community to speed up the search for alternative methods that could partly or fully replace animal experimentation. The Sixth Framework Program project carcinoGENOMICS was specifically raised to develop omics-based in vitro screens for testing the carcinogenic potential of chemical compounds in a pan-European context. This paper provides an in-depth analysis of the complexity of choosing suitable reference compounds used for creating and fine-tuning the in vitro carcinogenicity assays. First, a number of solid criteria for the selection of the model compounds are defined. Secondly, the strategy followed, including resources consulted, is described and the selected compounds are briefly illustrated. Finally, limitations and problems encountered during the selection procedure are discussed. Since selecting an appropriate set of chemicals is a frequent impediment in the early stages of similar research projects, the information provided in this paper might be extremely valuable.

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Year:  2008        PMID: 18514569     DOI: 10.1016/j.mrrev.2008.04.006

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  13 in total

1.  Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.

Authors:  Raja S Settivari; Nicholas Ball; Lynea Murphy; Reza Rasoulpour; Darrell R Boverhof; Edward W Carney
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

2.  ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level.

Authors:  Philippe Rocca-Serra; Marco Brandizi; Eamonn Maguire; Nataliya Sklyar; Chris Taylor; Kimberly Begley; Dawn Field; Stephen Harris; Winston Hide; Oliver Hofmann; Steffen Neumann; Peter Sterk; Weida Tong; Susanna-Assunta Sansone
Journal:  Bioinformatics       Date:  2010-08-02       Impact factor: 6.937

3.  Prediction of developmental chemical toxicity based on gene networks of human embryonic stem cells.

Authors:  Junko Yamane; Sachiyo Aburatani; Satoshi Imanishi; Hiromi Akanuma; Reiko Nagano; Tsuyoshi Kato; Hideko Sone; Seiichiroh Ohsako; Wataru Fujibuchi
Journal:  Nucleic Acids Res       Date:  2016-05-20       Impact factor: 16.971

Review 4.  Beryllium metal II. a review of the available toxicity data.

Authors:  Christian Strupp
Journal:  Ann Occup Hyg       Date:  2010-12-31

5.  Moving forward in human cancer risk assessment.

Authors:  Richard S Paules; Jiri Aubrecht; Raffaella Corvi; Bernward Garthoff; Jos C Kleinjans
Journal:  Environ Health Perspect       Date:  2010-12-13       Impact factor: 9.031

6.  Human embryonic stem cell derived hepatocyte-like cells as a tool for in vitro hazard assessment of chemical carcinogenicity.

Authors:  Reha Yildirimman; Gabriella Brolén; Mireia Vilardell; Gustav Eriksson; Jane Synnergren; Hans Gmuender; Atanas Kamburov; Magnus Ingelman-Sundberg; José Castell; Agustin Lahoz; Jos Kleinjans; Joost van Delft; Petter Björquist; Ralf Herwig
Journal:  Toxicol Sci       Date:  2011-08-27       Impact factor: 4.849

7.  Moving forward in carcinogenicity assessment: Report of an EURL ECVAM/ESTIV workshop.

Authors:  Raffaella Corvi; Federica Madia; Kathryn Z Guyton; Peter Kasper; Ruthann Rudel; Annamaria Colacci; Jos Kleinjans; Paul Jennings
Journal:  Toxicol In Vitro       Date:  2017-09-12       Impact factor: 3.500

Review 8.  A Novel Strategy to Predict Carcinogenicity of Antiparasitics Based on a Combination of DNA Lesions and Bacterial Mutagenicity Tests.

Authors:  Qianying Liu; Zhixin Lei; Feng Zhu; Awais Ihsan; Xu Wang; Zonghui Yuan
Journal:  Front Public Health       Date:  2017-11-09

9.  Testing chemical carcinogenicity by using a transcriptomics HepaRG-based model?

Authors:  T Y Doktorova; Reha Yildirimman; Liesbeth Ceelen; Mireia Vilardell; Tamara Vanhaecke; Mathieu Vinken; Gamze Ates; Anja Heymans; Hans Gmuender; Roque Bort; Raffaella Corvi; Pascal Phrakonkham; Ruoya Li; Nicolas Mouchet; Christophe Chesne; Joost van Delft; Jos Kleinjans; Jose Castell; Ralf Herwig; Vera Rogiers
Journal:  EXCLI J       Date:  2014-05-28       Impact factor: 4.068

10.  ToxDB: pathway-level interpretation of drug-treatment data.

Authors:  C Hardt; M E Beber; A Rasche; A Kamburov; D G Hebels; J C Kleinjans; R Herwig
Journal:  Database (Oxford)       Date:  2016-04-13       Impact factor: 3.451

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