NDLI: Control of Eukaryotic Cell Migration Through Modulation of Extracellular Chemoattractant Gradients

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Waleed, A. Farahat Asada, H. Harry
Copyright Year	2010
Abstract	Cell migration is fundamental to a wide range of biological and physiological functions including: wound healing, immune defense, cancer metastasis, as well as the formation and development of biological structures such as vascular and neural networks. In these diverse processes, cell migration is influenced by a broad set of external mechanical and biochemical cues, particularly the presence of (time dependent) spatial gradients of soluble chemoattractants in the extracellular domain. Many biological models have been proposed to explain the mechanisms leading to the migratory response of cells as a function of these external cues. Based on such models, here we propose approaches to controlling the chemotactic response of eukaryotic cells by modulating their micro-environments in vitro (for example, using a microfluidic chemotaxis chamber). By explicitly modeling i) chemoattractant-receptor binding kinetics, ii) diffusion dynamics in the extracellular domain, and iii) the chemotactic response of cells, models for the migration processes arise. Based on those models, optimal control formulations are derived. We present simulation results, and suggest experimental approaches to controlling cellular motility in vitro, which can be used as a basis for cellular manipulation and control.
Sponsorship	Dynamic Systems and Control Division
Starting Page	397
Ending Page	404
Page Count	8
File Format	PDF
ISBN	9780791844175
DOI	10.1115/DSCC2010-4190
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	Experimental methods Defense industry Simulation results Dynamics (mechanics) Optimal control Artificial neural networks Physiology Diffusion (physics) Modeling Microfluidics Cancer
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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