Literature DB >> 20959818

Epistatic relationships reveal the functional organization of yeast transcription factors.

Jiashun Zheng1, Joris J Benschop, Michael Shales, Patrick Kemmeren, Jack Greenblatt, Gerard Cagney, Frank Holstege, Hao Li, Nevan J Krogan.   

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.

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Year:  2010        PMID: 20959818      PMCID: PMC2990640          DOI: 10.1038/msb.2010.77

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   11.429


  60 in total

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Authors:  D Pellman; M E McLaughlin; G R Fink
Journal:  Nature       Date:  1990-11-01       Impact factor: 49.962

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3.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

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4.  Histone H3 methylation by Set2 directs deacetylation of coding regions by Rpd3S to suppress spurious intragenic transcription.

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Journal:  Cell       Date:  2005-11-18       Impact factor: 41.582

5.  Cotranscriptional set2 methylation of histone H3 lysine 36 recruits a repressive Rpd3 complex.

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Journal:  Cell       Date:  2005-11-18       Impact factor: 41.582

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7.  Evolution of alternative transcriptional circuits with identical logic.

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8.  Genome-wide mapping of in vivo protein-DNA interactions.

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10.  An improved map of conserved regulatory sites for Saccharomyces cerevisiae.

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  33 in total

Review 1.  Drosophila RNAi screening in a postgenomic world.

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2.  Data Imputation in Epistatic MAPs by Network-Guided Matrix Completion.

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Journal:  J Comput Biol       Date:  2015-02-06       Impact factor: 1.479

Review 3.  Transcription factors: from enhancer binding to developmental control.

Authors:  François Spitz; Eileen E M Furlong
Journal:  Nat Rev Genet       Date:  2012-08-07       Impact factor: 53.242

4.  Gene coexpression measures in large heterogeneous samples using count statistics.

Authors:  Y X Rachel Wang; Michael S Waterman; Haiyan Huang
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5.  Hierarchical modularity and the evolution of genetic interactomes across species.

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Journal:  Mol Cell       Date:  2012-06-08       Impact factor: 17.970

6.  The m6A methyltransferase Ime4 epitranscriptionally regulates triacylglycerol metabolism and vacuolar morphology in haploid yeast cells.

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Journal:  J Biol Chem       Date:  2017-06-27       Impact factor: 5.157

7.  The zinc cluster protein Sut1 contributes to filamentation in Saccharomyces cerevisiae.

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8.  Structures and Functions of the Multiple KOW Domains of Transcription Elongation Factor Spt5.

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Review 9.  Making sense of transcribing chromatin.

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10.  The 26S proteasome drives trinucleotide repeat expansions.

Authors:  Claire Concannon; Robert S Lahue
Journal:  Nucleic Acids Res       Date:  2013-04-24       Impact factor: 16.971

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