Signaling at the Cell Surface in the Circulatory and Ventilatory Systems

Signaling at the Cell Surface in the Circulatory and Ventilatory Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 988
Release :
ISBN-10 : 9781461419914
ISBN-13 : 1461419913
Rating : 4/5 (913 Downloads)

Book Synopsis Signaling at the Cell Surface in the Circulatory and Ventilatory Systems by : Marc Thiriet

Download or read book Signaling at the Cell Surface in the Circulatory and Ventilatory Systems written by Marc Thiriet and published by Springer Science & Business Media. This book was released on 2011-12-14 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volumes in this authoritative series present a multidisciplinary approach to modeling and simulation of flows in the cardiovascular and ventilatory systems, especially multiscale modeling and coupled simulations. The cardiovascular and respiratory systems are tightly coupled, as their primary function is to supply oxygen to and remove carbon dioxide from the body's cells. Because physiological conduits have deformable and reactive walls, macroscopic flow behavior and prediction must be coupled to nano- and microscopic events in a corrector scheme of regulated mechanisms when the vessel lumen caliber varies markedly. Therefore, investigation of flows of blood and air in physiological conduits requires an understanding of the biology, chemistry, and physics of these systems together with the mathematical tools to describe their functioning. Volume 3 is devoted to the set of mediators of the cell surface, especially ion and molecular carriers and catalytic receptors that, once liganded and activated, initiate signal transduction pathways. Intracellular cascades of chemical reactions trigger the release of substances stored in cellular organelles and/or gene transcription and protein synthesis. Primary mediators are included in models of regulated cellular processes, but multiple secondary signaling components are discarded to allow simple, representative modeling and to manage their inverse problems.


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