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Trends in Biophysics: From Cell Dynamics Toward Multicellular Growth Phenomena

Editat de Pavel Kraikivski
en Limba Engleză Hardback – 12 apr 2013
This title includes a number of Open Access chapters.
This book covers a wide scope of biological approaches to such biological phenomena as cell division, motility, collective cell behavior, multicellular structures, morphogenesis, and tumor development. Over the past two decades, biologists have generated large sets of experimental data and discovered a lot of facts that need explanation. This biological boom attracts physicists who believe they can help to develop a theoretical framework in biology and explain complete biological phenomena using basic principles.
This is the first book to present recent advances in biophysical studies of the different aspects of cell life. This book presents recent advances in biophysical studies of living cells and gives the impression that a combination of quantitative live cell observations, detailed biochemical and biophysical data, and mathematical modeling are capable to answer many important biological questions and to achieve a more complete understanding of such complex phenomena.
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Specificații

ISBN-13: 9781926895369
ISBN-10: 1926895363
Pagini: 294
Ilustrații: 57 b/w images
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.61 kg
Ediția:New.
Editura: Apple Academic Press Inc.
Colecția Apple Academic Press

Cuprins

Mammalian Cell Cycle Regulation. Spindles and Active Vortices. Actomyosin-Dependent Cortical Dynamics. Filament Depolymerization During Bacterial Mitosis. Actin Ring Constriction. Curved Activators and Cell-Membrane Waves. Actin Waves and Phagocytic Cup Structures. Yeast and Scaling. Cellular Shapes from Protrusive and Adhesive Forces. Amoeboid Cells’ Protrusions. Collective Cell Migration. Differential Adhesion and Cell Sorting.

Notă biografică

Pavel Kraikiviski, PhD, is a research faculty member in the Department of Biological Sciences at Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA. He has acted as a reviewer for several journals and has several published articles to his name as well as several presentations at professional meetings. His current research interests include biophysics, system biology, molecular biophysics and structural biology, cell cycles, intracellular systems, and intracellular transport.
Dr. Kraikivski has a unique academic background from his education at Russian, German, and American universities and extensive scientific research education. He has conducted research at the Max-Planck Institute for Colloids and Interfaces in Germany, where his research focused on active bio-polymers, and has also worked at the Center for Cell Analysis and Modeling at the University of Connecticut Health Center. He has made significant contributions in computational cell biology and biophysics, particularly in the areas of intracellular transport and cytoskeleton dynamics.

Recenzii

This is a unique book that brings together the most prominent papers that use biophysical and computational approaches to answer fundamental questions in cell biology. Each paper is a milestone in the development of a novel biophysical technique or computational strategy that allows understanding molecular and cellular mechanisms of major cellular activities such locomotion, division, segregation of genetic material, and cell cycle progression. This is a must have book for every cell biologist who wants to use biophysical and computational approaches in research."
—Vladimir Rodionov, PhD, Professor, University of Connecticut Health Center, Center for Cell Analysis and Modeling and Department of Cell Biology, Farmington, Connecticut, USA

Descriere

This title includes a number of Open Access chapters.
This book covers a wide scope of biological approaches to such biological phenomena as cell division, motility, collective cell behavior, multicellular structures, morphogenesis, and tumor development. It presents recent advances in biophysical studies of living cells and describes how a combination of quantitative live cell observations, detailed biochemical and biophysical data, and mathematical modeling are capable of answer many important biological questions and to achieve a more complete understanding of such complex phenomena.