Literature DB >> 15964738

Mapping molecular responses to xenoestrogens through Gene Ontology and pathway analysis of toxicogenomic data.

Richard A Currie1, George Orphanides, Jonathan G Moggs.   

Abstract

The recent sequencing of mammalian genomes has driven the development of genomic technologies, including microarray-based gene expression profiling, that allow simultaneous measurement of the expression levels of thousands of genes. Gene expression profiling applied to toxicology (toxicogenomics) has the potential to reveal, holistically, the molecular pathways and cellular processes that mediate the adverse responses to a toxicant. However, the initial output of a toxicogenomics experiment consists of a list of genes whose expression is altered upon toxicant exposure. In order to interpret these data in a biological context, new bioinformatic methods must be developed to place gene expression changes in the context of the underlying pathways and processes affected. One emerging approach is the application of Gene Ontology (GO) mapping and pathway analysis to gene expression profiling data. The utility of this in mechanistic toxicology will be illustrated using examples in which GO mapping of toxicogenomic data has provided novel insights into the molecular mechanisms induced by exposure to xenoestrogens.

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Year:  2005        PMID: 15964738     DOI: 10.1016/j.reprotox.2005.03.014

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  6 in total

1.  Metabolomics in the assessment of chemical-induced reproductive and developmental outcomes using non-invasive biological fluids: application to the study of butylbenzyl phthalate.

Authors:  Susan Sumner; Rodney Snyder; Jason Burgess; Christina Myers; Rochelle Tyl; Carol Sloan; Timothy Fennell
Journal:  J Appl Toxicol       Date:  2009-11       Impact factor: 3.446

2.  Gene expression profiling and differentiation assessment in primary human hepatocyte cultures, established hepatoma cell lines, and human liver tissues.

Authors:  Katy M Olsavsky; Jeanine L Page; Mary C Johnson; Helmut Zarbl; Stephen C Strom; Curtis J Omiecinski
Journal:  Toxicol Appl Pharmacol       Date:  2007-04-21       Impact factor: 4.219

3.  Expression profiling of interindividual variability following xenobiotic exposures in primary human hepatocyte cultures.

Authors:  Katy M O Goyak; Mary C Johnson; Stephen C Strom; Curtis J Omiecinski
Journal:  Toxicol Appl Pharmacol       Date:  2008-05-10       Impact factor: 4.219

4.  An ensemble classifier for eukaryotic protein subcellular location prediction using gene ontology categories and amino acid hydrophobicity.

Authors:  Liqi Li; Yuan Zhang; Lingyun Zou; Changqing Li; Bo Yu; Xiaoqi Zheng; Yue Zhou
Journal:  PLoS One       Date:  2012-01-30       Impact factor: 3.240

5.  Adaptation of a Bioinformatics Microarray Analysis Workflow for a Toxicogenomic Study in Rainbow Trout.

Authors:  Sophie Depiereux; Bertrand De Meulder; Eric Bareke; Fabrice Berger; Florence Le Gac; Eric Depiereux; Patrick Kestemont
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240

6.  Effects of lithium and valproic acid on gene expression and phenotypic markers in an NT2 neurosphere model of neural development.

Authors:  Eric J Hill; David A Nagel; John D O'Neil; Elizabeth Torr; Elizabeth K Woehrling; Andrew Devitt; Michael D Coleman
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

  6 in total

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