Document Detail


Single cell time-resolved quorum responses reveal dependence on cell density and configuration.
MedLine Citation:
PMID:  21527637     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Bacterial communication via quorum sensing has been extensively investigated in recent years. Bacteria communicate in a complex manner through the production, release, and reception of diffusible low molecular weight chemical signaling molecules. Much work has focused on understanding the basic mechanisms of quorum sensing. As more and more bacteria grow resistant to conventional antibiotics, the development of drugs that do not kill bacteria but instead interrupt their communication is of increasing interest. This study presents a method for analyzing bacterial communication by investigating single cell responses. Most conventional analysis methods for bacterial communication are based on the averaged response from many bacteria, masking how individual cells respond to their immediate environment. We applied a fiber-optic microarray to record cellular communication from single cells. Single cell quorum sensing systems have previously been employed, but the highly ordered array reported here is an improvement because it allows us to simultaneously investigate cellular communication in many different environments with known cellular densities and configurations. We employed this method to detect how genes under quorum regulation are induced or repressed over time on the single cell level and to determine whether cellular density and configuration are indicative of the single cell temporal patterns of gene expression.
Authors:
Ragnhild D Whitaker; Steven Pember; Byron C Wallace; Carla E Brodley; David R Walt
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Publication Detail:
Type:  Journal Article     Date:  2011-04-28
Journal Detail:
Title:  The Journal of biological chemistry     Volume:  286     ISSN:  1083-351X     ISO Abbreviation:  J. Biol. Chem.     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-06-13     Completed Date:  2011-08-30     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  2985121R     Medline TA:  J Biol Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  21623-32     Citation Subset:  IM    
Affiliation:
Department of Chemistry, Tufts University, Medford, Massachusetts 02155, USA.
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MeSH Terms
Descriptor/Qualifier:
Bacterial Proteins / metabolism
Biophysics / methods
Cell Communication
Escherichia coli / metabolism
Fiber Optic Technology
Gene Expression Regulation, Bacterial*
Models, Biological
Models, Chemical
Oligonucleotide Array Sequence Analysis
Quorum Sensing / physiology*
Time Factors
Transcription, Genetic
Chemical
Reg. No./Substance:
0/Bacterial Proteins
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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