cris.boxmetadata.label.title
The folding cooperativity of a protein is controlled by its chain topology
cris.boxmetadata.label.dateissued
03 browse.startsWith.months.june 2010
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
Shank E.A.
Cecconi C.
Dill J.W.
Marqusee S.
University of California
cris.boxmetadata.label.abstract
The three-dimensional structures of proteins often show a modular architecture comprised of discrete structural regions or domains. Cooperative communication between these regions is important for catalysis, regulation and efficient folding; lack of coupling has been implicated in the formation of fibrils and other misfolding pathologies. How different structural regions of a protein communicate and contribute to a proteins overall energetics and folding, however, is still poorly understood. Here we use a single-molecule optical tweezers approach to induce the selective unfolding of particular regions of T4 lysozyme and monitor the effect on other regions not directly acted on by force. We investigate how the topological organization of a protein (the order of structural elements along the sequence) affects the coupling and folding cooperativity between its domains. To probe the status of the regions not directly subjected to force, we determine the free energy changes during mechanical unfolding using Crooks fluctuation theorem. We pull on topological variants (circular permutants) and find that the topological organization of the polypeptide chain critically determines the folding cooperativity between domains and thus what parts of the folding/unfolding landscape are explored. We speculate that proteins may have evolved to select certain topologies that increase coupling between regions to avoid areas of the landscape that lead to kinetic trapping and misfolding. © 2010 Macmillan Publishers Limited. All rights reserved.
cris.boxmetadata.label.citationstartpage
637
cris.boxmetadata.label.citationendpage
640
cris.boxmetadata.label.volume
465
cris.boxmetadata.label.issue
7298
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Biofísica Bioquímica, Biología molecular
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-77953231020
cris.boxmetadata.label.pubmedidentifier
cris.boxmetadata.label.source
Nature
cris.boxmetadata.label.containerissn
00280836
cris.boxmetadata.label.sponsor
Acknowledgements We would like to thank G. Crooks for assistance in use of Crooks fluctuation analysis, R. Dahlquist and B. Matthews for help in initiating this study, and the entire Bustamante and Marqusee labs for advice and technical help. We would particularly like to thank E. Kwon for her assistance in reagent preparation and data collection. This work was supported in part by NIH grants GM 32543 (C.B.), GM 50945 (S.M.) and a grant from the NSF (S.M.).
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