Literature DB >> 17664657

Transcription factor concentrations versus binding site affinities in the yeast S. cerevisiae.

Erik Aurell1, Aymeric Fouquier d'Hérouël, Claes Malmnäs, Massimo Vergassola.   

Abstract

Transcription regulation is largely governed by the profile and the dynamics of transcription factors' binding to DNA. Stochastic effects are intrinsic to this dynamics, and the binding to functional sites must be controlled with a certain specificity for living organisms to be able to elicit specific cellular responses. Specificity stems here from the interplay between binding affinity and cellular abundance of transcription factor proteins, and the binding of such proteins to DNA is thus controlled by their chemical potential. We combine large-scale protein abundance data in the budding yeast with binding affinities for all transcription factors with known DNA binding site sequences to assess the behavior of their chemical potentials in an exponential growth phase. A sizable fraction of transcription factors is apparently bound non-specifically to DNA, and the observed abundances are marginally sufficient to ensure high occupations of the functional sites. We argue that a biological cause of this feature is related to its noise-filtering consequences: abundances below physiological levels do not yield significant binding of functional targets and mis-expressions of regulated genes may thus be tamed.

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Year:  2007        PMID: 17664657     DOI: 10.1088/1478-3975/4/2/006

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  3 in total

1.  Diffusion of DNA-Binding Species in the Nucleus: A Transient Anomalous Subdiffusion Model.

Authors:  Michael J Saxton
Journal:  Biophys J       Date:  2020-04-04       Impact factor: 4.033

2.  The role of DNA-binding specificity in the evolution of bacterial regulatory networks.

Authors:  Irma Lozada-Chávez; Vladimir Espinosa Angarica; Julio Collado-Vides; Bruno Contreras-Moreira
Journal:  J Mol Biol       Date:  2008-04-09       Impact factor: 5.469

3.  BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors.

Authors:  Junbai Wang
Journal:  BMC Bioinformatics       Date:  2009-10-20       Impact factor: 3.169

  3 in total

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