Literature DB >> 16936734

Dual feedback loops in the GAL regulon suppress cellular heterogeneity in yeast.

Stephen A Ramsey1, Jennifer J Smith, David Orrell, Marcello Marelli, Timothy W Petersen, Pedro de Atauri, Hamid Bolouri, John D Aitchison.   

Abstract

Transcriptional noise is known to be an important cause of cellular heterogeneity and phenotypic variation. The extent to which molecular interaction networks may have evolved to either filter or exploit transcriptional noise is a much debated question. The yeast genetic network regulating galactose metabolism involves two proteins, Gal3p and Gal80p, that feed back positively and negatively, respectively, on GAL gene expression. Using kinetic modeling and experimental validation, we demonstrate that these feedback interactions together are important for (i) controlling the cell-to-cell variability of GAL gene expression and (ii) ensuring that cells rapidly switch to an induced state for galactose uptake.

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Year:  2006        PMID: 16936734     DOI: 10.1038/ng1869

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  46 in total

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5.  Role of the histone variant H2A.Z/Htz1p in TBP recruitment, chromatin dynamics, and regulated expression of oleate-responsive genes.

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Review 6.  Role of chromatin states in transcriptional memory.

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Journal:  Biochim Biophys Acta       Date:  2009-02-21

7.  Estimating the stochastic bifurcation structure of cellular networks.

Authors:  Carl Song; Hilary Phenix; Vida Abedi; Matthew Scott; Brian P Ingalls; Mads Kaern; Theodore J Perkins
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

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Authors:  Vladimir Litvak; Stephen A Ramsey; Alistair G Rust; Daniel E Zak; Kathleen A Kennedy; Aaron E Lampano; Matti Nykter; Ilya Shmulevich; Alan Aderem
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9.  Modeling structure-function relationships in synthetic DNA sequences using attribute grammars.

Authors:  Yizhi Cai; Matthew W Lux; Laura Adam; Jean Peccoud
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

10.  Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture.

Authors:  Raja Jothi; S Balaji; Arthur Wuster; Joshua A Grochow; Jörg Gsponer; Teresa M Przytycka; L Aravind; M Madan Babu
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

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