Literature DB >> 16643954

The adaptive filter of the yeast galactose pathway.

Serge Smidtas1, Vincent Schächter, François Képès.   

Abstract

In the yeast Saccharomyces cerevisiae, the interplay between galactose, Gal3p, Gal80p and Gal4p determines the transcriptional status of the genes required for galactose utilization. After an increase in galactose concentration, galactose molecules bind onto Gal3p. This event leads via Gal80p to the activation of Gal4p, which then induces GAL3 and GAL80 gene transcription. Here we propose a qualitative dynamical model, whereby these molecular interaction events represent the first two stages of a functional feedback loop that closes with the capture of activated Gal4p by newly synthesized Gal3p and Gal80p, decreasing transcriptional activation and creating again the protein complex that can bind incoming galactose molecules. Based on the differential time-scales of faster protein interactions versus slower biosynthetic steps, this feedback loop functions as a derivative filter where galactose is the input step signal, and released Gal4p is the output derivative signal. One advantage of such a derivative filter is that GAL genes are expressed in proportion to cellular requirements. Furthermore, this filter adaptively protects the cellular receptors from saturation by galactose, allowing cells to remain sensitive to variations in galactose concentrations rather than to absolute concentrations. Finally, this feedback loop, by allowing phosphorylation of some active Gal4p, may be essential to initiate the subsequent long-term response.

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Year:  2006        PMID: 16643954     DOI: 10.1016/j.jtbi.2006.03.005

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

Review 1.  Quantitative analysis of cellular metabolic dissipative, self-organized structures.

Authors:  Ildefonso Martínez de la Fuente
Journal:  Int J Mol Sci       Date:  2010-09-27       Impact factor: 5.923

2.  Characterizing the memory of the GAL regulatory network in Saccharomyces cerevisiae.

Authors:  Vishwesh V Kulkarni; Venkatesh Kareenhalli; Ganesh A Viswananthan; Marc Riedel
Journal:  Syst Synth Biol       Date:  2011-09-20

3.  Stability analysis of the GAL regulatory network in Saccharomyces cerevisiae and Kluyveromyces lactis.

Authors:  Vishwesh V Kulkarni; Venkatesh Kareenhalli; Pushkar Malakar; Lucy Y Pao; Michael G Safonov; Ganesh A Viswanathan
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

4.  Validation of a model of the GAL regulatory system via robustness analysis of its bistability characteristics.

Authors:  Luca Salerno; Carlo Cosentino; Alessio Merola; Declan G Bates; Francesco Amato
Journal:  BMC Syst Biol       Date:  2013-05-17

5.  Analyzing negative feedback using a synthetic gene network expressed in the Drosophila melanogaster embryo.

Authors:  Ashley A Jermusyk; Nicholas P Murphy; Gregory T Reeves
Journal:  BMC Syst Biol       Date:  2016-08-31
  5 in total

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