Moment-based analysis of biochemical networks in a heterogeneous population of communicating cells.

First Authors David Thomas Gonzales
Authors David Thomas Gonzales, T-Y Dora Tang, Christoph Zechner
Corresponding Authors Christoph Zechner
Last Authors Christoph Zechner
Conference Proceedings Volume Title 2019 IEEE 58th Conference on Decision and Control (CDC)
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Conference Name 58th IEEE Conference on Decision and Control, CDC 2019
Conference Location Acropolis Convention CentreNice; France
Conference Start Date 2019-12-11
Conference End Date 2019-12-13
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Publisher IEEE
Conference Proceedings Editors Carlos A. Canudas de Wit
ISBN 978-172811398-2
First Page 939
Last Page 944
Print Publication Date 2019-12-13
Online Publication Date
Abstract Cells can utilize chemical communication to exchange information and coordinate their behavior in the presence of noise. Communication can reduce noise to shape a collective response, or amplify noise to generate distinct phenotypic subpopulations. Here we discuss a moment-based approach to study how cell-cell communication affects noise in biochemical networks that arises from both intrinsic and extrinsic sources. We derive a system of approximate differential equations that captures lower-order moments of a population of cells, which communicate by secreting and sensing a diffusing molecule. Since the number of obtained equations grows combinatorially with number of considered cells, we employ a previously proposed model reduction technique, which exploits symmetries in the underlying moment dynamics. Importantly, the number of equations obtained in this way is independent of the number of considered cells such that the method scales to arbitrary population sizes. Based on this approach, we study how cell-cell communication affects population variability in several biochemical networks. Moreover, we analyze the accuracy and computational efficiency of the moment-based approximation by comparing it with moments obtained from stochastic simulations.
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Affiliated With Tang, Zechner
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DOI 10.1109/CDC40024.2019.9029457
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Created By thuem
Added Date 2020-05-19
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Last Edited Date 2020-05-20 14:43:25.482
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