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A New Model for Pore Formation by Cholesterol-Dependent Cytolysins

Overview of attention for article published in PLoS Computational Biology, August 2014
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Title
A New Model for Pore Formation by Cholesterol-Dependent Cytolysins
Published in
PLoS Computational Biology, August 2014
DOI 10.1371/journal.pcbi.1003791
Pubmed ID
Authors

Cyril F. Reboul, James C. Whisstock, Michelle A. Dunstone

Abstract

Cholesterol Dependent Cytolysins (CDCs) are important bacterial virulence factors that form large (200-300 Å) membrane embedded pores in target cells. Currently, insights from X-ray crystallography, biophysical and single particle cryo-Electron Microscopy (cryo-EM) experiments suggest that soluble monomers first interact with the membrane surface via a C-terminal Immunoglobulin-like domain (Ig; Domain 4). Membrane bound oligomers then assemble into a prepore oligomeric form, following which the prepore assembly collapses towards the membrane surface, with concomitant release and insertion of the membrane spanning subunits. During this rearrangement it is proposed that Domain 2, a region comprising three β-strands that links the pore forming region (Domains 1 and 3) and the Ig domain, must undergo a significant yet currently undetermined, conformational change. Here we address this problem through a systematic molecular modeling and structural bioinformatics approach. Our work shows that simple rigid body rotations may account for the observed collapse of the prepore towards the membrane surface. Support for this idea comes from analysis of published cryo-EM maps of the pneumolysin pore, available crystal structures and molecular dynamics simulations. The latter data in particular reveal that Domains 1, 2 and 4 are able to undergo significant rotational movements with respect to each other. Together, our data provide new and testable insights into the mechanism of pore formation by CDCs.

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Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Ireland 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 31%
Researcher 15 25%
Student > Bachelor 7 11%
Professor > Associate Professor 4 7%
Student > Master 4 7%
Other 4 7%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 33%
Biochemistry, Genetics and Molecular Biology 17 28%
Physics and Astronomy 3 5%
Chemistry 3 5%
Immunology and Microbiology 2 3%
Other 6 10%
Unknown 10 16%