2021
Non-Genetic Diversity in Chemosensing and Chemotactic Behavior
Moore JP, Kamino K, Emonet T. Non-Genetic Diversity in Chemosensing and Chemotactic Behavior. International Journal Of Molecular Sciences 2021, 22: 6960. PMID: 34203411, PMCID: PMC8268644, DOI: 10.3390/ijms22136960.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBacteriaBacterial ProteinsChemotactic FactorsChemotaxisHumansSignal Transduction
2014
Limits of Feedback Control in Bacterial Chemotaxis
Dufour YS, Fu X, Hernandez-Nunez L, Emonet T. Limits of Feedback Control in Bacterial Chemotaxis. PLOS Computational Biology 2014, 10: e1003694. PMID: 24967937, PMCID: PMC4072517, DOI: 10.1371/journal.pcbi.1003694.Peer-Reviewed Original ResearchConceptsFeedback controlIntegral feedback controlOperational regimesOptimal operational regimeComplex statisticsDrift velocityRobust performanceFuture inputsAdaptation rateProper information transferChemotactic driftAnalytical modelInput signalOptimal regimeActuatorsSteep gradientsProper couplingWide rangeChemotactic performanceRegimeBifurcation
2012
Modeling cellular signaling: taking space into the computation
Sneddon MW, Emonet T. Modeling cellular signaling: taking space into the computation. Nature Methods 2012, 9: 239-242. PMID: 22373909, PMCID: PMC4713026, DOI: 10.1038/nmeth.1900.Peer-Reviewed Original Research
2011
Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria
Sneddon MW, Pontius W, Emonet T. Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria. Proceedings Of The National Academy Of Sciences Of The United States Of America 2011, 109: 805-810. PMID: 22203971, PMCID: PMC3271881, DOI: 10.1073/pnas.1113706109.Peer-Reviewed Original ResearchGuidelines for visualizing and annotating rule-based models
Chylek LA, Hu B, Blinov ML, Emonet T, Faeder JR, Goldstein B, Gutenkunst RN, Haugh JM, Lipniacki T, Posner RG, Yang J, Hlavacek WS. Guidelines for visualizing and annotating rule-based models. Molecular Omics 2011, 7: 2779-2795. PMID: 21647530, PMCID: PMC3168731, DOI: 10.1039/c1mb05077j.Peer-Reviewed Original Research
2010
Interdependence of behavioural variability and response to small stimuli in bacteria
Park H, Pontius W, Guet CC, Marko JF, Emonet T, Cluzel P. Interdependence of behavioural variability and response to small stimuli in bacteria. Nature 2010, 468: 819-823. PMID: 21076396, PMCID: PMC3230254, DOI: 10.1038/nature09551.Peer-Reviewed Original Research
2009
Understanding Modularity in Molecular Networks Requires Dynamics
Alexander RP, Kim PM, Emonet T, Gerstein MB. Understanding Modularity in Molecular Networks Requires Dynamics. Science Signaling 2009, 2: pe44. PMID: 19638611, PMCID: PMC4243459, DOI: 10.1126/scisignal.281pe44.Peer-Reviewed Original ResearchConceptsMolecular networksBiological networksMolecular network analysisAnalysis of modularityCellular machinesMolecular partsSystems biologyFunctional analysisGenome sequencingCellular behaviorCollective functionsMolecular interactionsSmall moleculesNetwork analysisRecent advancesIntense researchBiologyFundamental goalSequencingMajor advancesMoleculesInteractionIsolationModularity
2005
AgentCell: a digital single-cell assay for bacterial chemotaxis
Emonet T, Macal CM, North MJ, Wickersham CE, Cluzel P. AgentCell: a digital single-cell assay for bacterial chemotaxis. Bioinformatics 2005, 21: 2714-2721. PMID: 15774553, DOI: 10.1093/bioinformatics/bti391.Peer-Reviewed Original ResearchConceptsBacterial chemotaxisSingle-cell biologySingle-cell assaysSingle-cell levelChemotaxis networkCellular behaviorBacterial populationsIntracellular processesIndividual cellsSingle cellsSwimming cellsMolecular interactionsChemotaxis assaysBiological systemsNew computational approachCellsComputational approachChemotaxisAssaysFlagellaBiologyBacterium
2004
From molecular noise to behavioural variability in a single bacterium
Korobkova E, Emonet T, Vilar JM, Shimizu TS, Cluzel P. From molecular noise to behavioural variability in a single bacterium. Nature 2004, 428: 574-578. PMID: 15058306, DOI: 10.1038/nature02404.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PhysiologicalCells, ImmobilizedChemotaxisEscherichia coliFlagellaMethyltransferasesModels, BiologicalSignal TransductionTime FactorsConceptsChemotaxis networkSingle-cell levelSignal transductionPopulation measurementsIntracellular networksMolecular noiseBehavioral variationMolecular eventsBiological complexityIndividual bacteriaNon-stimulated cellsEscherichia coliBehavioral variabilitySingle bacteriumTemporal fluctuationsStatistical fluctuationsTransductionSuch variabilityTemporal variationBacteriumColiGeneral understandingCertain propertiesBacteriaPathway