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A structural perspective on the mechanisms of quorum sensing activation in bacteria

Overview of attention for article published in Anais da Academia Brasileira de Ciências, August 2015
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Title
A structural perspective on the mechanisms of quorum sensing activation in bacteria
Published in
Anais da Academia Brasileira de Ciências, August 2015
DOI 10.1590/0001-3765201520140482
Pubmed ID
Authors

CAROLINA LIXA, AMANDA MUJO, CRISTIANE D. ANOBOM, ANDERSON S. PINHEIRO

Abstract

Bacteria are able to synchronize the population behavior in order to regulate gene expression through a cell-to-cell communication mechanism called quorum sensing. This phenomenon involves the production, detection and the response to extracellular signaling molecules named autoinducers, which directly or indirectly regulate gene expression in a cell density-dependent manner. Quorum sensing may control a wide range of biological processes in bacteria, such as bioluminescence, virulence factor production, biofilm formation and antibiotic resistance. The autoinducers are recognized by specific receptors that can either be membrane-bound histidine kinase receptors, which work by activating cognate cytoplasmic response regulators, or cytoplasmic receptors acting as transcription factors. In this review, we focused on the cytosolic quorum sensing regulators whose three-dimensional structures helped elucidate their mechanisms of action. Structural studies of quorum sensing receptors may enable the rational design of inhibitor molecules. Ultimately, this approach may represent an effective alternative to treat infections where classical antimicrobial therapy fails to overcome the microorganism virulence.

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Researcher 6 15%
Student > Bachelor 5 12%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 7 17%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 3 7%
Chemistry 3 7%
Chemical Engineering 2 5%
Other 8 20%
Unknown 10 24%