A quantitative study of cell-to-cell communication in bacteria

细菌细胞间通讯的定量研究

• 批准号: 8334578
• 负责人: Pankaj Mehta
• 金额: $ 13.2万
• 依托单位: BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8334578
• 关键词: Accounting; Bacteria; Biochemical; Biological; Cell Communication; Cell physiology; Cells; Cholera; Communication; Communication Aids for Disabled; Complex; Controlled Study; Cues; DNA-Binding Proteins; Data; Development; Elements; Engineering; Environment; Fluorescence Microscopy; Gene Expression; Goals; Health; Heart; Human; Infection Control; Information Theory; Kinetics; Lead; Learning; Marines; Mediating; Modeling; Neurosciences; Noise; Output; Pathway interactions; Pharmaceutical Preparations; Phosphotransferases; Physics; Process; Property; RNA; Research; Research Personnel; Role; Sensory; Signal Transduction; Signaling Molecule; Source; Specificity; Stimulus; System; Techniques; Theoretical model; Vibrio; Vibrio cholerae; Virulence; analytical tool; comparative; computerized data processing; information processing; man; mathematical theory; novel; pathogen; programs; promoter; quorum sensing; research study; response; simulation; tool

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.

描述（由申请人提供）：本研究的总体目标是了解群体感应：细菌中细胞与细胞通讯的过程。该应用将重点关注两种相关细菌的群体感应：人类主要病原体霍乱弧菌和海洋细菌哈氏弧菌。这些细菌中的群体感应系统将多个群体感应信号引导到一个信号回路中。这个回路的核心是多个小的调节RNA（sRNA），它们介导群体感应开关，并允许细胞共同调节基因表达。本申请的具体目标是（1）开发霍乱弧菌和哈维氏弧菌中群体感应电路的定量模型，以及（2）开发新的理论框架，用于使用工程和物理学分析工具分析弧菌群体感应电路如何整合感官信息。开发一个分析信息流的定量模型和理论框架将有助于回答三个基本问题。(1)当多个信号通过一个共享的通路传递时，群弧菌的感应网络如何保持信号转导的特异性？(2)在群体感应回路中，由RNA调节子（相对于DNA结合蛋白）提供的信号有什么比较优势？(3)群体感应电路中的主要噪声源是什么？这种噪声对信号特性有什么影响？阐明这些问题将有助于我们理解细菌的种内和种间通讯以及细胞回路中信息处理和信号转导的基本原理。从广泛的建模角度来看，这项研究可能会产生新的分析和定量工具，分析信号转导和信息流的生化网络。这项研究也有重要的健康意义，因为许多病原体，如霍乱（霍乱弧菌）使用群体感应来调节毒力。因此，更好地理解群体感应可能会导致新的药物来控制感染。

项目成果

Intrinsic noise of microRNA-regulated genes and the ceRNA hypothesis.

• 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

Flux imbalance analysis and the sensitivity of cellular growth to changes in metabolite pools.

• 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

Statistical Mechanics of Transcription-Factor Binding Site Discovery Using Hidden Markov Models.

• 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.

Metabolic resource allocation in individual microbes determines ecosystem interactions and spatial dynamics.

• 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

Identifying keystone species in the human gut microbiome from metagenomic timeseries using sparse linear regression.

• 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