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Báo cáo y học: "integrating phenotypic and expression profiles to map arsenic-response"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: integrating phenotypic and expression profiles to map arsenic-response. | Research Open Access Integrating phenotypic and expression profiles to map arsenic-response networks Astrid C Haugen Ryan Kelley Jennifer B Collins Charles J Tucker Changchun Deng Cynthia A Afshari J Martin Brown Trey Ideker and Bennett Van Houten Addresses Laboratory of Molecular Genetics National Institute of Environmental Health Sciences NIH Research Triangle Park NC 27709 USA. Department of Bioengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093-0412 USA. National Center for Toxicogenomics Microarray Center National Institute of Environmental Health Sciences NIH Research Triangle Park NC 27709 USA. Department of Radiation Oncology Stanford University School of Medicine 269 Campus Drive West Stanford CA 94305 USA. Correspondence Trey Ideker. E-mail Trey@bioeng.ucsd.edu. Bennett Van Houten. E-mail Vanhout1@niehs.nih.gov Published 29 November 2004 Genome Biology 2004 5 R95 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2004A5 12 R95 Received 5 August 2004 Revised 27 September 2004 Accepted 2 November 2004 2004 Haugen et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. Results While the expression data unveiled no significant nodes in the metabolic network the regulatory network revealed several important nodes as centers