TY - GEN
T1 - A stochastic queuing model of quorum sensing in microbial communities
AU - Michelusi, Nicolo
AU - Boedicker, James
AU - El-Naggar, Mohamed Y.
AU - Mitra, Urbashi
N1 - Funding Information:
N. Michelusi and U. Mitra acknowledge support from one or all of these grants: NSF CCF-1117896, NSF CNS-1213128, NSF CCF-1410009, AFOSR FA9550-12-1-0215, DOT CA-26-7084-00, NSF CPS-1446901 and ONR N00014-09-1-0700. M. Y. El-Naggar acknowledge support from NASA Cooperative Agreement NNA13AA92A and grant DE-FG02-13ER16415 from the Division of Chemical Sciences, Geosciences, and Biosciences, Office of Basic Energy Sciences of the US Department of Energy.
Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/26
Y1 - 2016/2/26
N2 - Microbial communities regulate various collective functions using molecular signaling circuits in a process known as quorum sensing (QS). Regulation and prediction of QS dynamics may reveal new strategies to control virulence in infections without the use of antibiotics. To this end, models of QS are important tools for prediction and analysis. In this paper, a stochastic and dynamic queuing model of QS signaling in microbial communities is presented. The model provides an abstraction of the detailed and complex biological signals, yet it is accurate enough to capture the dynamics and correlations in QS activation in a population of microbes.
AB - Microbial communities regulate various collective functions using molecular signaling circuits in a process known as quorum sensing (QS). Regulation and prediction of QS dynamics may reveal new strategies to control virulence in infections without the use of antibiotics. To this end, models of QS are important tools for prediction and analysis. In this paper, a stochastic and dynamic queuing model of QS signaling in microbial communities is presented. The model provides an abstraction of the detailed and complex biological signals, yet it is accurate enough to capture the dynamics and correlations in QS activation in a population of microbes.
UR - http://www.scopus.com/inward/record.url?scp=84969902559&partnerID=8YFLogxK
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U2 - 10.1109/ACSSC.2015.7421098
DO - 10.1109/ACSSC.2015.7421098
M3 - Conference contribution
AN - SCOPUS:84969902559
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 133
EP - 138
BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Y2 - 8 November 2015 through 11 November 2015
ER -