Transcriptomics

Dataset Information

0

Response of Yeast (Saccharomyces cerevisiae) to Oxygen, Heme and Cobalt


ABSTRACT: Deciphering gene regulatory mechanisms through the analysis of high-throughput expression data is a challenging computational problem. Previous computational studies have used large expression datasets in order to resolve fine patterns of coexpression, producing clusters or modules of potentially coregulated genes. These methods typically examine promoter sequence information, such as DNA motifs or transcription factor occupancy data, in a separate step after clustering. We needed an alternative and more integrative approach to study the oxygen regulatory network in Saccharomyces cerevisiae using a small dataset of perturbation experiments. Mechanisms of oxygen sensing and regulation underlie many physiological and pathological processes, and only a handful of oxygen regulators have been identified in previous studies. We used a new machine learning algorithm called MEDUSA to uncover detailed information about the oxygen regulatory network using genome-wide expression changes in response to perturbations in the levels of oxygen, heme, Hap1, and Co2+. MEDUSA integrates mRNA expression, promoter sequence, and ChIP-chip occupancy data to learn a model that accurately predicts the differential expression of target genes in held-out data. We used a novel margin-based score to extract significant condition-specific regulators and assemble a global map of the oxygen sensing and regulatory network. This network includes both known oxygen and heme regulators, such as Hap1, Mga2, Hap4, and Upc2, as well as many new candidate regulators. MEDUSA also identified many DNA motifs that are consistent with previous experimentally identified transcription factor binding sites. Because MEDUSA's regulatory program associates regulators to target genes through their promoter sequences, we directly tested the predicted regulators for OLE1, a gene specifically induced under hypoxia, by experimental analysis of the activity of its promoter. In each case, deletion of the candidate regulator resulted in the predicted effect on promoter activity, confirming that several novel regulators identified by MEDUSA are indeed involved in oxygen regulation. MEDUSA can reveal important information from a small dataset and generate testable hypotheses for further experimental analysis.

ORGANISM(S): Saccharomyces cerevisiae Schizosaccharomyces pombe

PROVIDER: GSE8343 | GEO | 2008/09/10

SECONDARY ACCESSION(S): PRJNA101349

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2017-03-03 | GSE95560 | GEO
2008-10-25 | E-GEOD-8343 | biostudies-arrayexpress
2013-12-10 | GSE52445 | GEO
2013-12-10 | E-GEOD-52445 | biostudies-arrayexpress
2019-02-07 | GSE94905 | GEO
2019-02-07 | GSE94898 | GEO
2006-05-09 | E-WMIT-9 | biostudies-arrayexpress
2011-06-27 | E-GEOD-25595 | biostudies-arrayexpress
2011-06-27 | GSE25595 | GEO
2010-08-15 | E-GEOD-6742 | biostudies-arrayexpress