TY - JOUR
T1 - Disturbance response analysis of cell-to-cell communication systems based on spatial frequency decomposition
AU - Kotsuka, Taishi
AU - Hori, Yutaka
N1 - Funding Information:
★★This work was supported in part by the Okawa Foundation ★This work was supported in part by the Okawa Foundation R★ eTsehairschwoGrkranwtausnsdueprpgorratnedt niunmpbaerrt 1b6y-10thaendOkJaSwPaS FKoAunKdEaNtiHonI R★esearch Grant under grant number 16-10 and JSPS KAKENHI RerTasenhatirscNhwumoGrbkraenrwtJaPus1n8sduHepr0p1go4rr6at4ne.dt niunmpbaerrt 1b6y-10thaendOkJaSwPaS FKoAunKdEaNtiHonI
Publisher Copyright:
© 2019 IFAC-PapersOnLine. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In biomolecular communication networks, bacterial cells communicate with each other using a cell-to-cell communication mechanism mediated by diffusible signaling molecules. The dynamics of molecular concentrations in such systems are approximately modeled by reaction-diffusion equations. In this paper, we analyze the ability of cell-to-cell communication systems to attenuate impulsive disturbances with various spatial frequency profiles by computing the integrated squared concentration of molecules. In particular, we perform in-depth study of disturbance responses for an activator-repressor-diffuser biocircuit in the spatial frequency domain to characterize its spatial frequency gain.
AB - In biomolecular communication networks, bacterial cells communicate with each other using a cell-to-cell communication mechanism mediated by diffusible signaling molecules. The dynamics of molecular concentrations in such systems are approximately modeled by reaction-diffusion equations. In this paper, we analyze the ability of cell-to-cell communication systems to attenuate impulsive disturbances with various spatial frequency profiles by computing the integrated squared concentration of molecules. In particular, we perform in-depth study of disturbance responses for an activator-repressor-diffuser biocircuit in the spatial frequency domain to characterize its spatial frequency gain.
KW - activator-repressor-diffuser model
KW - cell-to-cell communication
KW - disturbance response
KW - reaction-diffusion system
KW - synthetic biology
UR - http://www.scopus.com/inward/record.url?scp=85081101295&partnerID=8YFLogxK
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U2 - 10.1016/j.ifacol.2019.12.237
DO - 10.1016/j.ifacol.2019.12.237
M3 - Conference article
AN - SCOPUS:85081101295
SN - 2405-8963
VL - 52
SP - 65
EP - 69
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 26
T2 - 8th Conference on Foundations of Systems Biology in Engineering, FOSBE 2019
Y2 - 15 October 2019 through 18 October 2019
ER -