The Cell as a Machine

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Michael Sheetz (Columbia University, New York) Hanry Yu (National University of Singapore)

The Cell as a Machine

Michael Sheetz (Columbia University, New York), Hanry Yu (National University of Singapore)

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English

Cambridge University Press
11 January 2018

Cellular physiology; Biomedical engineering

Series: Cambridge Texts in Biomedical Engineering

This unique introductory text explains cell functions using the engineering principles of robust devices. Adopting a process-based approach to understanding cell and tissue biology, it describes the molecular and mechanical features that enable the cell to be robust in operating its various components, and explores the ways in which molecular modules respond to environmental signals to execute complex functions. The design and operation of a variety of complex functions are covered, including engineering lipid bilayers to provide fluid boundaries and mechanical controls, adjusting cell shape and forces with dynamic filament networks, and DNA packaging for information retrieval and propagation. Numerous problems, case studies and application examples help readers connect theory with practice, and solutions for instructors and videos of lectures accompany the book online. Assuming only basic mathematical knowledge, this is an invaluable resource for graduate and senior undergraduate students taking single-semester courses in cell mechanics, biophysics and cell biology.

By: Michael Sheetz (Columbia University New York), Hanry Yu (National University of Singapore)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 253mm, Width: 192mm, Spine: 24mm
Weight: 1.110kg
ISBN: 9781107052734
ISBN 10: 1107052734
Series: Cambridge Texts in Biomedical Engineering
Pages: 434
Publication Date: 11 January 2018
Audience: College/higher education , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Part I. Principle of Complex Function in Robust Machines: 1. Robust self-replicating machines shaped by evolution; 2. Complex functions of robust machines with emergent properties; 3. Integrated complex functions with dynamic feedback; 4. Cells exhibit multiple states, each with different functions; 5. Life at low Reynolds number and the mesoscale leads to stochastic phenomena; Part II. Design and Operation of Complex Functions: 6. Engineering lipid bilayers to provide fluid boundaries and mechanical controls; 7. Membrane trafficking – flow and barriers create asymmetries; 8. Signaling and cell volume control through ion transport and volume regulators; 9. Structuring a cell by cytoskeletal filaments; 10. Moving and maintaining functional assemblies with motors; 11. Microenvironment controls life, death and regeneration; 12. Adjusting cell shape and forces with dynamic filament networks; 13. DNA packaging for information retrieval and propagation; 14. Transcribing the right information and packaging for delivery; 15. Turning RNA into functional proteins and removing unwanted proteins; Part III. Coordination of Complex Functions: 16. How to approach a coordinated function – cell rigidity sensing and force generation across length scale; 17. Integration of cellular functions for decision making; 18. Moving from omnipotency to death; 19. Cancer versus regeneration – the wrong versus right response to the microenvironment.

Michael Sheetz is Chair of Biological Science at Columbia University, Founding Chair of the Department of Cell Biology at Duke University, and Founding Director of the Mechanobiology Institute at the National University of Singapore. He is also a recipient of the Albert Lasker Basic Medical Research Award. Hanry Yu is a Professor in both the Department of Physiology and the Mechanobiology Institute at the National University of Singapore, and a Group Leader at the Agency for Science, Technology and Research, Singapore. He has co-taught the material in this book with Michael Sheetz at Massachusetts Institute of Technology, Columbia University, and the National University of Singapore.