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Molecular Systems Biology
Article . 2010
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Epistatic relationships reveal the functional organization of yeast transcription factors

Authors: Jiashun Zheng; Joris J Benschop; Michael Shales; Patrick Kemmeren; Jack Greenblatt; Gerard Cagney; Frank Holstege; +2 Authors

Epistatic relationships reveal the functional organization of yeast transcription factors

Abstract

The regulation of gene expression is, in large part, mediated by interplay between the general transcription factors (GTFs) that function to bring about the expression of many genes and site‐specific DNA‐binding transcription factors (STFs). Here, quantitative genetic profiling using the epistatic miniarray profile (E‐MAP) approach allowed us to measure 48 391 pairwise genetic interactions, both negative (aggravating) and positive (alleviating), between and among genes encoding STFs and GTFs in Saccharomyces cerevisiae . This allowed us to both reconstruct regulatory models for specific subsets of transcription factors and identify global epistatic patterns. Overall, there was a much stronger preference for negative relative to positive genetic interactions among STFs than there was among GTFs. Negative genetic interactions, which often identify factors working in non‐essential, redundant pathways, were also enriched for pairs of STFs that co‐regulate similar sets of genes. Microarray analysis demonstrated that pairs of STFs that display negative genetic interactions regulate gene expression in an independent rather than coordinated manner. Collectively, these data suggest that parallel/compensating relationships between regulators, rather than linear pathways, often characterize transcriptional circuits.

Keywords

Medicine (General), Models, Genetic, QH301-705.5, Gene Expression Profiling, Genes, Fungal, Computational Biology, Epistasis, Genetic, Saccharomyces cerevisiae, Article, regulatory network, R5-920, Gene Expression Regulation, Fungal, genetic interaction, Cluster Analysis, Gene Regulatory Networks, Biology (General), transcription regulation, transcription factor, Oligonucleotide Array Sequence Analysis, Transcription Factors

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
47
Top 10%
Top 10%
Top 10%
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