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Elucidating the Global Oxygen Regulatory Network in Yeast.
Author(s) -
Henke Robert Michael,
Lee Hee Chul,
Shah Ajit,
Majumdar Ranita,
Zhang Li
Publication year - 2009
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.23.1_supplement.511.1
Subject(s) - saccharomyces cerevisiae , yeast , biology , gene regulatory network , gene , oxygen , regulation of gene expression , model organism , computational biology , gene expression , microbiology and biotechnology , genetics , chemistry , organic chemistry
Understanding the mechanisms by which cells sense and respond to oxygen is a fundamental biological problem. Mechanisms of oxygen sensing and regulation underlie many physiological and pathological processes in living organisms. Saccharomyces Cerevisiae provides an excellent model system for studying oxygen sensing and regulation in eukaryotes. We have employed genomic, computational, proteomic and biochemical approaches to elucidate the global molecular mechanisms underlying oxygen regulation in yeast. By using a machine learning algorithm called MEDUSA to analyze genome‐wide gene expression data, we identified a series of potential regulators that can control oxygen regulation of gene expression. These regulators include known oxygen regulators, such as Upc2, Hap1, and Mga2, and many new oxygen regulators. Furthermore, by using experimental approaches, we identified these hypoxia‐responsive genes, the deletion of which enables cells to grow better under hypoxic conditions, and those whose cellular localization is altered upon changes of oxygen level. Results from these experiments are combined to delineate the global oxygen regulatory network in yeast.