Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
