A stochastic queuing model of quorum sensing in microbial communities

Nicolo Michelusi; James Boedicker; Mohamed Y. El-Naggar; Urbashi Mitra

doi:10.1109/ACSSC.2015.7421098

A stochastic queuing model of quorum sensing in microbial communities

Nicolo Michelusi, James Boedicker, Mohamed Y. El-Naggar, Urbashi Mitra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	133-138
Number of pages	6
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421098
State	Published - Feb 26 2016
Externally published	Yes
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2016-February
ISSN (Print)	1058-6393

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2015.7421098

Cite this

Michelusi, N., Boedicker, J., El-Naggar, M. Y., & Mitra, U. (2016). A stochastic queuing model of quorum sensing in microbial communities. In M. B. Matthews (Ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 (pp. 133-138). Article 7421098 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421098

A stochastic queuing model of quorum sensing in microbial communities. / Michelusi, Nicolo; Boedicker, James; El-Naggar, Mohamed Y. et al.
Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. ed. / Michael B. Matthews. IEEE Computer Society, 2016. p. 133-138 7421098 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Michelusi, N, Boedicker, J, El-Naggar, MY & Mitra, U 2016, A stochastic queuing model of quorum sensing in microbial communities. in MB Matthews (ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015., 7421098, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2016-February, IEEE Computer Society, pp. 133-138, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421098

Michelusi N, Boedicker J, El-Naggar MY, Mitra U. A stochastic queuing model of quorum sensing in microbial communities. In Matthews MB, editor, Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. IEEE Computer Society. 2016. p. 133-138. 7421098. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2015.7421098

Michelusi, Nicolo ; Boedicker, James ; El-Naggar, Mohamed Y. et al. / A stochastic queuing model of quorum sensing in microbial communities. Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. editor / Michael B. Matthews. IEEE Computer Society, 2016. pp. 133-138 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

@inproceedings{980382348dcf401cb2bfbe12526f5109,

title = "A stochastic queuing model of quorum sensing in microbial communities",

abstract = "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.",

author = "Nicolo Michelusi and James Boedicker and El-Naggar, {Mohamed Y.} and Urbashi Mitra",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

year = "2016",

month = feb,

day = "26",

doi = "10.1109/ACSSC.2015.7421098",

language = "English (US)",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

pages = "133--138",

editor = "Matthews, {Michael B.}",

booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",

}

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

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

UR - http://www.scopus.com/inward/citedby.url?scp=84969902559&partnerID=8YFLogxK

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 -

A stochastic queuing model of quorum sensing in microbial communities

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this