NDLI: Reduced-Order Cue-Signal-Response Modeling for Angiogenic Cell Migration Control: A Principal Signal Approach

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Asada, H. Harry
Copyright Year	2010
Abstract	A cell’s behavior in response to stimuli is governed by a signaling network, called cue-signal-response. Endothelial Cells (ECs), for example, migrate towards the source of chemo-attractants by detecting cues (chemo-attractants and their concentration gradient), feeding them into an intra-cellular signaling network (coded internal state), and producing a response (migration). It is known that the cue-signal-response process is a nonlinear, dynamical system with high dimensionality and stochasticity. This paper presents a system dynamics approach to modeling the cue-signal-response process for the purpose of manipulating and guiding the cell behavior through feedback control. A Hammerstein type model is constructed by representing the entire process in two stages. One is the cue-to-signal process represented as a nonlinear feedforward map, and the other is the signal-to-response process as a stochastic linear dynamical system, which contains feedback loops and auto-regressive dynamics. Analysis of the signaling space based on Singular-Value Decomposition yields a set of reduced order synthetic signals, which are used as inputs to the dynamical system. A prediction-error method is used for identifying the model from experimental data, and an optimal system order is determined based on Akaike’s Information Criterion. The resultant low order model is capable of predicting the expected response to cues, and is directly usable for feedback control. The method is applied to an in vitro angiogenic process using microfluidic devices.
Sponsorship	Dynamic Systems and Control Division
Starting Page	445
Ending Page	451
Page Count	7
File Format	PDF
ISBN	9780791844175
DOI	10.1115/DSCC2010-4246
e-ISBN	9780791838846
Volume Number	ASME 2010 Dynamic Systems and Control Conference, Volume 1
Conference Proceedings	ASME 2010 Dynamic Systems and Control Conference
Language	English
Publisher Date	2010-09-12
Publisher Place	Cambridge, Massachusetts, USA
Access Restriction	Subscribed
Subject Keyword	Errors Linear dynamic system System dynamics Feedback Dynamic systems Dynamics (mechanics) Feedforward control Signals Nonlinear dynamical systems Modeling Endothelial cells Microfluidics
Content Type	Text
Resource Type	Article

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