Dynamics modeling signaling pathway regulating egf-induced cell adhesion

Ruiguo Yang, Ning Xi, Bo Song, Zhiyong Sun, Liangliang Chen, Marcela P. Garcia, Jun Xi

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

Abstract

A quantitative modeling approach is developed to dissect the signaling pathways involved in the process of the epidermal growth factor (EGF)-induced dynamic change of cell adhesion. The dynamics model will be constructed based on a system identification process, which is regularly employed in control system design to elucidate the unknown structures and parameters of some of the components in the system based on the prior knowledge and the input/output information of the system. The signaling network that is known to regulate the EGF-induced cell adhesion is designated as the controller which controls the physical process of cell adhesion, i.e. the plant. A nanomechanical sensor in quartz crystal microbalance with dissipation monitoring (QCM-D), which is capable of generating realtime, continuous and measurable signals, will be used for evaluating the system output. The interaction of measurement signal with the cell adhesion complex is modeled as plant. From the model, key structures and parameters of the signaling hierarchy were identified and confirmed. The dynamic pathway output agrees well with the measurement result of energy dissipation from the QCM-D sensor. We expect this proposed study will reveal the decisive reactions of the signaling network that are most critical to regulation of EGF-induced changes in cell adhesion at both normal and disease conditions.

Original languageEnglish (US)
Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
PublisherIFAC Secretariat
Pages7486-7491
Number of pages6
Volume19
ISBN (Electronic)9783902823625
StatePublished - 2014
Externally publishedYes
Event19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Duration: Aug 24 2014Aug 29 2014

Other

Other19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
CountrySouth Africa
CityCape Town
Period8/24/148/29/14

Fingerprint

Cell adhesion
Quartz crystal microbalances
Monitoring
Sensors
Dynamic models
Energy dissipation
Identification (control systems)
Systems analysis
Control systems
Controllers
Epidermal Growth Factor

Keywords

  • Cell adhesion
  • Dynamics model
  • Micro and nano system
  • Nanomechanical senor
  • Signaling pathway

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Yang, R., Xi, N., Song, B., Sun, Z., Chen, L., Garcia, M. P., & Xi, J. (2014). Dynamics modeling signaling pathway regulating egf-induced cell adhesion. In 19th IFAC World Congress IFAC 2014, Proceedings (Vol. 19, pp. 7486-7491). IFAC Secretariat.

Dynamics modeling signaling pathway regulating egf-induced cell adhesion. / Yang, Ruiguo; Xi, Ning; Song, Bo; Sun, Zhiyong; Chen, Liangliang; Garcia, Marcela P.; Xi, Jun.

19th IFAC World Congress IFAC 2014, Proceedings. Vol. 19 IFAC Secretariat, 2014. p. 7486-7491.

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

Yang, R, Xi, N, Song, B, Sun, Z, Chen, L, Garcia, MP & Xi, J 2014, Dynamics modeling signaling pathway regulating egf-induced cell adhesion. in 19th IFAC World Congress IFAC 2014, Proceedings. vol. 19, IFAC Secretariat, pp. 7486-7491, 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, South Africa, 8/24/14.
Yang R, Xi N, Song B, Sun Z, Chen L, Garcia MP et al. Dynamics modeling signaling pathway regulating egf-induced cell adhesion. In 19th IFAC World Congress IFAC 2014, Proceedings. Vol. 19. IFAC Secretariat. 2014. p. 7486-7491
Yang, Ruiguo ; Xi, Ning ; Song, Bo ; Sun, Zhiyong ; Chen, Liangliang ; Garcia, Marcela P. ; Xi, Jun. / Dynamics modeling signaling pathway regulating egf-induced cell adhesion. 19th IFAC World Congress IFAC 2014, Proceedings. Vol. 19 IFAC Secretariat, 2014. pp. 7486-7491
@inproceedings{df4908c7c2ac4bfb96fc54d4af0e596d,
title = "Dynamics modeling signaling pathway regulating egf-induced cell adhesion",
abstract = "A quantitative modeling approach is developed to dissect the signaling pathways involved in the process of the epidermal growth factor (EGF)-induced dynamic change of cell adhesion. The dynamics model will be constructed based on a system identification process, which is regularly employed in control system design to elucidate the unknown structures and parameters of some of the components in the system based on the prior knowledge and the input/output information of the system. The signaling network that is known to regulate the EGF-induced cell adhesion is designated as the controller which controls the physical process of cell adhesion, i.e. the plant. A nanomechanical sensor in quartz crystal microbalance with dissipation monitoring (QCM-D), which is capable of generating realtime, continuous and measurable signals, will be used for evaluating the system output. The interaction of measurement signal with the cell adhesion complex is modeled as plant. From the model, key structures and parameters of the signaling hierarchy were identified and confirmed. The dynamic pathway output agrees well with the measurement result of energy dissipation from the QCM-D sensor. We expect this proposed study will reveal the decisive reactions of the signaling network that are most critical to regulation of EGF-induced changes in cell adhesion at both normal and disease conditions.",
keywords = "Cell adhesion, Dynamics model, Micro and nano system, Nanomechanical senor, Signaling pathway",
author = "Ruiguo Yang and Ning Xi and Bo Song and Zhiyong Sun and Liangliang Chen and Garcia, {Marcela P.} and Jun Xi",
year = "2014",
language = "English (US)",
volume = "19",
pages = "7486--7491",
booktitle = "19th IFAC World Congress IFAC 2014, Proceedings",
publisher = "IFAC Secretariat",
address = "Austria",

}

TY - GEN

T1 - Dynamics modeling signaling pathway regulating egf-induced cell adhesion

AU - Yang, Ruiguo

AU - Xi, Ning

AU - Song, Bo

AU - Sun, Zhiyong

AU - Chen, Liangliang

AU - Garcia, Marcela P.

AU - Xi, Jun

PY - 2014

Y1 - 2014

N2 - A quantitative modeling approach is developed to dissect the signaling pathways involved in the process of the epidermal growth factor (EGF)-induced dynamic change of cell adhesion. The dynamics model will be constructed based on a system identification process, which is regularly employed in control system design to elucidate the unknown structures and parameters of some of the components in the system based on the prior knowledge and the input/output information of the system. The signaling network that is known to regulate the EGF-induced cell adhesion is designated as the controller which controls the physical process of cell adhesion, i.e. the plant. A nanomechanical sensor in quartz crystal microbalance with dissipation monitoring (QCM-D), which is capable of generating realtime, continuous and measurable signals, will be used for evaluating the system output. The interaction of measurement signal with the cell adhesion complex is modeled as plant. From the model, key structures and parameters of the signaling hierarchy were identified and confirmed. The dynamic pathway output agrees well with the measurement result of energy dissipation from the QCM-D sensor. We expect this proposed study will reveal the decisive reactions of the signaling network that are most critical to regulation of EGF-induced changes in cell adhesion at both normal and disease conditions.

AB - A quantitative modeling approach is developed to dissect the signaling pathways involved in the process of the epidermal growth factor (EGF)-induced dynamic change of cell adhesion. The dynamics model will be constructed based on a system identification process, which is regularly employed in control system design to elucidate the unknown structures and parameters of some of the components in the system based on the prior knowledge and the input/output information of the system. The signaling network that is known to regulate the EGF-induced cell adhesion is designated as the controller which controls the physical process of cell adhesion, i.e. the plant. A nanomechanical sensor in quartz crystal microbalance with dissipation monitoring (QCM-D), which is capable of generating realtime, continuous and measurable signals, will be used for evaluating the system output. The interaction of measurement signal with the cell adhesion complex is modeled as plant. From the model, key structures and parameters of the signaling hierarchy were identified and confirmed. The dynamic pathway output agrees well with the measurement result of energy dissipation from the QCM-D sensor. We expect this proposed study will reveal the decisive reactions of the signaling network that are most critical to regulation of EGF-induced changes in cell adhesion at both normal and disease conditions.

KW - Cell adhesion

KW - Dynamics model

KW - Micro and nano system

KW - Nanomechanical senor

KW - Signaling pathway

UR - http://www.scopus.com/inward/record.url?scp=84929833480&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929833480&partnerID=8YFLogxK

M3 - Conference contribution

VL - 19

SP - 7486

EP - 7491

BT - 19th IFAC World Congress IFAC 2014, Proceedings

PB - IFAC Secretariat

ER -