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

Hansen, C. H., Sourjik, V., & Wingreen, N. S. (2010). A dynamic-signaling-team model for chemotaxis receptors in Escherichia coli. Proc Natl Acad Sci U S A, 107(40), 17170-5. doi:10.1073/pnas.1005017107.

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Hansen, C. H., Author
Sourjik, V.1, Author           
Wingreen, N. S., Author
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1Zentrum für Molekulare Biologie der Universität Heidelberg, DKFZ-ZMBH Alliance, Heidelberg, ou_persistent22              

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Free keywords: Algorithms Chemotactic Factors/chemistry/*metabolism Chemotaxis/*physiology Escherichia coli/*metabolism Escherichia coli Proteins/chemistry/*metabolism Models, Biological Protein Conformation Receptors, Cell Surface/chemistry/*metabolism Signal Transduction/*physiology
 Abstract: The chemotaxis system of Escherichia coli is sensitive to small relative changes in ambient chemoattractant concentrations over a broad range. Interactions among receptors are crucial to this sensitivity, as is precise adaptation, the return of chemoreceptor activity to prestimulus levels in a constant chemoeffector environment through methylation and demethylation of receptors. Signal integration and cooperativity have been attributed to strongly coupled, mixed teams of receptors, but receptors become individually methylated according to their ligand occupancy states. Here, we present a model of dynamic signaling teams that reconciles strong coupling among receptors with receptor-specific methylation. Receptor trimers of dimers couple to form a honeycomb lattice, consistent with cryo-electron microscopy (cryoEM) tomography, within which the boundaries of signaling teams change rapidly. Our model helps explain the inferred increase in signaling team size with receptor modification, and indicates that active trimers couple more strongly than inactive trimers.

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 Dates: 2010-09-22
 Publication Status: Issued
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 Identifiers: Other: 20855582
DOI: 10.1073/pnas.1005017107
ISSN: 1091-6490 (Electronic)0027-8424 (Linking)
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Title: Proc Natl Acad Sci U S A
Source Genre: Journal
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Pages: - Volume / Issue: 107 (40) Sequence Number: - Start / End Page: 17170 - 5 Identifier: -