A quantitative study of cell-to-cell communication in bacteria
A quantitative study of cell-to-cell communication in bacteria
批准号:
8334578
负责人:
Pankaj Mehta
金额:
$13.2万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2014-07-31
关键词:
AccountingBacteriaBiochemicalBiologicalCell CommunicationCell physiologyCellsCholeraCommunicationCommunication Aids for DisabledComplexControlled StudyCuesDNA-Binding ProteinsDataDevelopmentElementsEngineeringEnvironmentFluorescence MicroscopyGene ExpressionGoalsHealthHeartHumanInfection ControlInformation TheoryKineticsLeadLearningMarinesMediatingModelingNeurosciencesNoiseOutputPathway interactionsPharmaceutical PreparationsPhosphotransferasesPhysicsProcessPropertyRNAResearchResearch PersonnelRoleSensorySignal TransductionSignaling MoleculeSourceSpecificityStimulusSystemTechniquesTheoretical modelVibrioVibrio choleraeVirulenceanalytical toolcomparativecomputerized data processinginformation processingmanmathematical theorynovelpathogenprogramspromoterquorum sensingresearch studyresponsesimulationtool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The overall goal of this research is to understand quorum sensing: the process of cell-to-cell communication in bacteria. This application will focus on quorum sensing in two related bacteria: Vibrio cholerae, a major human pathogen and the marine-bacteria Vibrio harveyi. The quorum- sensing systems in these bacteria channel multiple quorum-sensing signals into one signaling circuit. At the heart of this circuit are multiple small regulatory RNAs (sRNAs) that mediate the quorum-sensing switch and allow cells to collectively regulate gene expression. The specific goals of this application are (1) to develop a quantitative model for the quorum sensing circuit in V. cholerae and V. harveyi and (2) to develop a new theoretical framework for analyzing how sensory information is integrated by the Vibrio quorum sensing circuit using analytical tools from engineering and physics. Developing a quantitative model and theoretical framework for analyzing information flow will help answer three fundamental questions. (1) How can the Vibrio quorum-sensing network maintain signal-transduction specificity even when multiple signals are transmitted through a shared pathway? (2) What are the comparative advantages for signaling provided by RNA regulators (as opposed to DNA-binding proteins) in the quorum- sensing circuit? (3) What are the major sources of noise in the quorum-sensing circuit and what is the effect of this noise on signaling properties? Answering these questions will contribute to our understanding of intra- and inter-species communication in bacteria and the principles underlying information processing and signaling-transduction in cellular circuits. From a broad modeling perspective, this research is likely to yield new analytic and quantitative tools for analyzing signal-transduction and information flow in biochemical networks. This research also has important health implications because many pathogens such as cholera (Vibrio cholerae) use quorum sensing to regulate virulence. Thus, a greater understanding of quorum-sensing may lead to novel drugs to control infection.
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DOI:
10.1371/journal.pone.0072676
发表时间:
2013
期刊:
PloS one
影响因子:
3.7
作者:
[Noorbakhsh J, Lang AH, Mehta P]
通讯作者:
Mehta P
DOI:
10.1371/journal.pcbi.1003195
发表时间:
2013
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Reznik E, Mehta P, Segrè D]
通讯作者:
Segrè D
DOI:
10.1007/s10955-010-0102-x
发表时间:
2011-04
期刊:
JOURNAL OF STATISTICAL PHYSICS
影响因子:
1.6
作者:
[Mehta, Pankaj, Schwab, David J., Sengupta, Anirvan M.]
通讯作者:
Sengupta, Anirvan M.
DOI:
10.1371/journal.pone.0102451
发表时间:
2014
期刊:
PloS one
影响因子:
3.7
作者:
[Fisher CK, Mehta P]
通讯作者:
Mehta P
DOI:
10.1016/j.celrep.2014.03.070
发表时间:
2014-05-22
期刊:
Cell reports
影响因子:
8.8
作者:
[Harcombe WR, Riehl WJ, Dukovski I, Granger BR, Betts A, Lang AH, Bonilla G, Kar A, Leiby N, Mehta P, Marx CJ, Segrè D]
通讯作者:
Segrè D
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财政年份:2016
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依托单位:
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A quantitative study of cell-to-cell communication in bacteria
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A quantitative study of cell-to-cell communication in bacteria
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A quantitative study of cell-to-cell communication in bacteria
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A quantitative study of cell-to-cell communication in bacteria
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