Literature DB >> 24954905

Cellular noise suppression by the regulator of G protein signaling Sst2.

Gauri Dixit1, Joshua B Kelley2, John R Houser3, Timothy C Elston3, Henrik G Dohlman4.   

Abstract

G proteins and their associated receptors process information from a variety of environmental stimuli to induce appropriate cellular responses. Generally speaking, each cell in a population responds within defined limits, despite large variation in the expression of protein signaling components. Therefore, we postulated that noise suppression is encoded within the signaling system. Using the yeast mating pathway as a model, we evaluated the ability of a regulator of G protein signaling (RGS) protein to suppress noise. We found that the RGS protein Sst2 limits variability in transcription and morphogenesis in response to pheromone stimulation. While signal suppression is a result of both the GAP (GTPase accelerating) and receptor binding functions of Sst2, noise suppression requires only the GAP activity. Taken together, our findings reveal a hitherto overlooked role of RGS proteins as noise suppressors and demonstrate an ability to uncouple signal and noise in a prototypical stimulus-response pathway.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24954905      PMCID: PMC4142594          DOI: 10.1016/j.molcel.2014.05.019

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  43 in total

1.  Analysis of RGS proteins in Saccharomyces cerevisiae.

Authors:  Ginger A Hoffman; Tiffany Runyan Garrison; Henrik G Dohlman
Journal:  Methods Enzymol       Date:  2002       Impact factor: 1.600

2.  Spontaneous receptor-independent heterotrimeric G-protein signalling in an RGS mutant.

Authors:  Daria E Siekhaus; David G Drubin
Journal:  Nat Cell Biol       Date:  2003-03       Impact factor: 28.824

3.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

4.  Stochastic gene expression in fluctuating environments.

Authors:  Mukund Thattai; Alexander van Oudenaarden
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

5.  Control of stochasticity in eukaryotic gene expression.

Authors:  Jonathan M Raser; Erin K O'Shea
Journal:  Science       Date:  2004-05-27       Impact factor: 47.728

6.  Courtship in S. cerevisiae: both cell types choose mating partners by responding to the strongest pheromone signal.

Authors:  C L Jackson; L H Hartwell
Journal:  Cell       Date:  1990-11-30       Impact factor: 41.582

Review 7.  Regulation of G protein-initiated signal transduction in yeast: paradigms and principles.

Authors:  H G Dohlman; J W Thorner
Journal:  Annu Rev Biochem       Date:  2001       Impact factor: 23.643

8.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

9.  Noise minimization in eukaryotic gene expression.

Authors:  Hunter B Fraser; Aaron E Hirsh; Guri Giaever; Jochen Kumm; Michael B Eisen
Journal:  PLoS Biol       Date:  2004-04-27       Impact factor: 8.029

10.  Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks.

Authors:  David Adalsteinsson; David McMillen; Timothy C Elston
Journal:  BMC Bioinformatics       Date:  2004-03-08       Impact factor: 3.169

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  18 in total

1.  Gradient Tracking by Yeast GPCRs in a Microfluidics Chamber.

Authors:  Sara Kimiko Suzuki; Joshua B Kelley; Timothy C Elston; Henrik G Dohlman
Journal:  Methods Mol Biol       Date:  2021

2.  Mitogen-activated protein kinase (MAPK) dynamics determine cell fate in the yeast mating response.

Authors:  Yang Li; Julie Roberts; Zohreh AkhavanAghdam; Nan Hao
Journal:  J Biol Chem       Date:  2017-11-09       Impact factor: 5.157

3.  Quantitative analysis of the yeast pheromone pathway.

Authors:  James P Shellhammer; Amy E Pomeroy; Yang Li; Lorena Dujmusic; Timothy C Elston; Nan Hao; Henrik G Dohlman
Journal:  Yeast       Date:  2019-06-27       Impact factor: 3.239

4.  Variable Dependence of Signaling Output on Agonist Occupancy of Ste2p, a G Protein-coupled Receptor in Yeast.

Authors:  Rajashri Sridharan; Sara M Connelly; Fred Naider; Mark E Dumont
Journal:  J Biol Chem       Date:  2016-09-19       Impact factor: 5.157

5.  RGS proteins and septins cooperate to promote chemotropism by regulating polar cap mobility.

Authors:  Joshua B Kelley; Gauri Dixit; Joshua B Sheetz; Sai Phanindra Venkatapurapu; Timothy C Elston; Henrik G Dohlman
Journal:  Curr Biol       Date:  2015-01-15       Impact factor: 10.834

6.  Real-Time Genetic Compensation Defines the Dynamic Demands of Feedback Control.

Authors:  Patrick Harrigan; Hiten D Madhani; Hana El-Samad
Journal:  Cell       Date:  2018-10-18       Impact factor: 41.582

7.  Systematic analysis of F-box proteins reveals a new branch of the yeast mating pathway.

Authors:  Nambirajan Rangarajan; Claire L Gordy; Lauren Askew; Samantha M Bevill; Timothy C Elston; Beverly Errede; Jillian H Hurst; Joshua B Kelley; Joshua B Sheetz; Sara Kimiko Suzuki; Natalie H Valentin; Everett Young; Henrik G Dohlman
Journal:  J Biol Chem       Date:  2019-08-09       Impact factor: 5.157

8.  A predictive model of gene expression reveals the role of network motifs in the mating response of yeast.

Authors:  Amy E Pomeroy; Matthew I Peña; John R Houser; Gauri Dixit; Henrik G Dohlman; Timothy C Elston; Beverly Errede
Journal:  Sci Signal       Date:  2021-02-16       Impact factor: 8.192

9.  Signal inhibition by a dynamically regulated pool of monophosphorylated MAPK.

Authors:  Michal J Nagiec; Patrick C McCarter; Joshua B Kelley; Gauri Dixit; Timothy C Elston; Henrik G Dohlman
Journal:  Mol Biol Cell       Date:  2015-07-15       Impact factor: 4.138

10.  Evolution of a G protein-coupled receptor response by mutations in regulatory network interactions.

Authors:  Raphaël B Di Roberto; Belinda Chang; Ala Trusina; Sergio G Peisajovich
Journal:  Nat Commun       Date:  2016-08-04       Impact factor: 14.919

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