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Integrating phenotypic and expression profiles to map arsenic-response networks
Authors:Astrid?C?Haugen,Ryan?Kelley,Jennifer?B?Collins,Charles?J?Tucker,Changchun?Deng,Cynthia?A?Afshari,J?Martin?Brown,Trey?Ideker  author-information"  >  author-information__contact u-icon-before"  >  mailto:Trey@bioeng.ucsd.edu"   title="  Trey@bioeng.ucsd.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Bennett?Van Houten  author-information"  >  author-information__contact u-icon-before"  >  mailto:Vanhout@niehs.nih.gov"   title="  Vanhout@niehs.nih.gov"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Laboratory of Molecular Genetics, National Institute of Environmental Health Sciences, NIH, 27709 Research Triangle Park, NC, USA;(2) Department of Bioengineering, University of California San Diego, 9500 Gilman Drive, 92093-0412 La Jolla, CA, USA;(3) National Center for Toxicogenomics, Microarray Center, National Institute of Environmental Health Sciences, NIH, 27709 Research Triangle Park, NC, USA;(4) Department of Radiation Oncology, Stanford University School of Medicine, 269 Campus Drive West, 94305 Stanford, CA, USA
Abstract:

Background  

Arsenic is a nonmutagenic carcinogen affecting millions of people. The cellular impact of this metalloid in Saccharomyces cerevisiae was determined by profiling global gene expression and sensitivity phenotypes. These data were then mapped to a metabolic network composed of all known biochemical reactions in yeast, as well as the yeast network of 20,985 protein-protein/protein-DNA interactions.
Keywords:
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