Literature DB >> 16293695

An allosteric model for heterogeneous receptor complexes: understanding bacterial chemotaxis responses to multiple stimuli.

Bernardo A Mello1, Yuhai Tu.   

Abstract

The classical Monod-Wyman-Changeux model for homogeneous allosteric protein complex is generalized in this article to model the responses of heterogeneous receptor complexes to multiple types of ligand stimulus. We show that the recent in vivo experimental data of Escherichia coli chemotaxis responses for mutant strains with different expression levels of the chemo-receptors to different types of stimulus [Sourjik, V. & Berg, H. C. (2004) Nature 428, 437-441] all can be explained consistently within this generalized Monod-Wyman-Changeux model. Based on the model and the existing data, responses of all of the strains (studied in this article) to the presence of any combinations of ligand (Ser and MeAsp) concentrations are predicted quantitatively for future experimental verification. Through modeling the in vivo response data, our study reveals important information about the properties of different types of individual receptors, as well as the composition of the cluster. The energetic contribution of the nonligand binding, cytoplasmic parts of the cluster, such as CheA and CheW, is also discussed. The generalized allosteric model provides a consistent framework in understanding signal integration and differentiation in bacterial chemotaxis. It should also be useful for studying the functions of other heterogeneous receptor complexes.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16293695      PMCID: PMC1297673          DOI: 10.1073/pnas.0506961102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

Review 1.  Transmembrane signaling in bacterial chemoreceptors.

Authors:  J J Falke; G L Hazelbauer
Journal:  Trends Biochem Sci       Date:  2001-04       Impact factor: 13.807

2.  Conformational spread in a ring of proteins: a stochastic approach to allostery.

Authors:  T A Duke; N Le Novère; D Bray
Journal:  J Mol Biol       Date:  2001-05-04       Impact factor: 5.469

3.  Direct protein-protein coupling enables cross-talk between dopamine D5 and gamma-aminobutyric acid A receptors.

Authors:  F Liu; Q Wan; Z B Pristupa; X M Yu; Y T Wang; H B Niznik
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

Review 4.  How signals are heard during bacterial chemotaxis: protein-protein interactions in sensory signal propagation.

Authors:  A Bren; M Eisenbach
Journal:  J Bacteriol       Date:  2000-12       Impact factor: 3.490

5.  Molecular model of a lattice of signalling proteins involved in bacterial chemotaxis.

Authors:  T S Shimizu; N Le Novère; M D Levin; A J Beavil; B J Sutton; D Bray
Journal:  Nat Cell Biol       Date:  2000-11       Impact factor: 28.824

6.  Receptor sensitivity in bacterial chemotaxis.

Authors:  Victor Sourjik; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

7.  Receptor methylation controls the magnitude of stimulus-response coupling in bacterial chemotaxis.

Authors:  Mikhail N Levit; Jeffry B Stock
Journal:  J Biol Chem       Date:  2002-07-15       Impact factor: 5.157

8.  Dynamic and clustering model of bacterial chemotaxis receptors: structural basis for signaling and high sensitivity.

Authors:  Sung-Hou Kim; Weiru Wang; Kyeong Kyu Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-19       Impact factor: 11.205

9.  Electron microscopic analysis of membrane assemblies formed by the bacterial chemotaxis receptor Tsr.

Authors:  Robert M Weis; Teruhisa Hirai; Anas Chalah; Martin Kessel; Peter J Peters; Sriram Subramaniam
Journal:  J Bacteriol       Date:  2003-06       Impact factor: 3.490

10.  Collaborative signaling by mixed chemoreceptor teams in Escherichia coli.

Authors:  Peter Ames; Claudia A Studdert; Rebecca H Reiser; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

View more
  82 in total

1.  Noninvasive inference of the molecular chemotactic response using bacterial trajectories.

Authors:  Jean-Baptiste Masson; Guillaume Voisinne; Jerome Wong-Ng; Antonio Celani; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

2.  Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria.

Authors:  Michael W Sneddon; William Pontius; Thierry Emonet
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

3.  A dynamic-signaling-team model for chemotaxis receptors in Escherichia coli.

Authors:  Clinton H Hansen; Victor Sourjik; Ned S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

4.  Differences in signalling by directly and indirectly binding ligands in bacterial chemotaxis.

Authors:  Silke Neumann; Clinton H Hansen; Ned S Wingreen; Victor Sourjik
Journal:  EMBO J       Date:  2010-09-10       Impact factor: 11.598

Review 5.  Spatial organization in bacterial chemotaxis.

Authors:  Victor Sourjik; Judith P Armitage
Journal:  EMBO J       Date:  2010-08-18       Impact factor: 11.598

6.  Classifying chemoreceptors: quantity versus quality.

Authors:  Eric S Underbakke; Laura L Kiessling
Journal:  EMBO J       Date:  2010-10-20       Impact factor: 11.598

7.  Efficient modeling, simulation and coarse-graining of biological complexity with NFsim.

Authors:  Michael W Sneddon; James R Faeder; Thierry Emonet
Journal:  Nat Methods       Date:  2010-12-26       Impact factor: 28.547

8.  Physical limits on cellular sensing of spatial gradients.

Authors:  Bo Hu; Wen Chen; Wouter-Jan Rappel; Herbert Levine
Journal:  Phys Rev Lett       Date:  2010-07-23       Impact factor: 9.161

9.  Statistical mechanics of Monod-Wyman-Changeux (MWC) models.

Authors:  Sarah Marzen; Hernan G Garcia; Rob Phillips
Journal:  J Mol Biol       Date:  2013-03-14       Impact factor: 5.469

10.  Modeling the chemotactic response of Escherichia coli to time-varying stimuli.

Authors:  Yuhai Tu; Thomas S Shimizu; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-23       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.