Control of Chemotaxis Through Absolute Concentration Robustness

Sayak Bhattacharya, Debojyoti Biswas, German A. Enciso, Pablo A. Iglesias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Chemotaxis, the directed motion of cells in response to chemical gradients, is important for a variety of biological processes ranging from embryogenesis to killing of pathogens. Increasing the speed and efficiency of directed migration is critical in such situations. We provide a control mechanism by which one can minimize the noise-driven firings at the back of the cell, enabling faster motion towards the front. We achieve this through a mechanism called absolute concentration robustness (ACR), which robustly maintains the steady-state concentration of intracellular biochemical species and, at the same time, provides control over the concentration variance. More particularly, by incorporating ACR, we develop a correspondence between the concentration mean and variance - both of which are independent of total concentrations. We show that by incorporating ACR into the back of a moving cell, we can create a mechanism to robustly control the noise variance at the back - thus limiting the deterring firings while the cell moves in the direction of the gradient.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4360-4365
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jul 2 2018
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
Country/TerritoryUnited States
CityMiami
Period12/17/1812/19/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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