Systems Biology for Identifying Liver Toxicity Pathways


Show simple item record Li, Zheng en_US Chan, Christina en_US 2012-01-11T00:37:40Z 2012-01-11T00:37:40Z 2009 en_US 2009-3-10 en_US
dc.identifier.citation Li, Zheng, Christina Chan. "Systems biology for identifying liver toxicity pathways" BMC Proceedings 3(Suppl 2):S2. (2009) en_US
dc.identifier.issn 1753-6561 en_US
dc.description.abstract Drug-induced liver toxicity is one of the leading causes of acute liver failure in the United States, exceeding all other causes combined. The objective of this paper is to describe systems biology methods for identifying pathways involved in liver toxicity induced by free fatty acids (FFA) and tumor necrosis factor (TNF)-α in human hepatoblastoma cells (HepG2/C3A). Systems biology approaches were developed to integrate multi-level data, i.e., gene expression, metabolite profile, toxicity measurements and a priori knowledge to identify gene targets for modulating liver toxicity. Targets that modulate liver toxicity, in vitro, were computationally predicted and some targets were experimentally validated. en_US
dc.description.sponsorship National Science Foundation (BES 0425821, SBIR 0610784); National Institute of Health (R01GM079688, R21RR024439, R21CA126136); Whitaker Foundation en_US
dc.language.iso en en_US
dc.publisher BioMed Central en_US
dc.rights Copyright 2009 Li and Chan; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. en_US
dc.rights.uri en_US
dc.title Systems Biology for Identifying Liver Toxicity Pathways en_US
dc.type article en_US
dc.identifier.pubmedid 19278558 en_US
dc.identifier.pmcid 2654485 en_US

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