Get Advances in Cell Mechanics PDF

By Ignacio Romero, Juan J. Arribas (auth.), Prof. Shaofan Li, Prof. Bohua Sun (eds.)

ISBN-10: 3642175899

ISBN-13: 9783642175893

ISBN-10: 3642175902

ISBN-13: 9783642175909

"Advances in mobile Mechanics" provides the most recent advancements in cellphone mechanics and biophysics, quite often concentrating on interdisciplinary examine in phone biology and the biophysics of cells. in addition, a different function of the e-book is its emphasis at the molecular and intricate continuum modeling and simulations of the cells. it can be the 1st paintings that brings rigorous and quantitative medical research and state of the art simulation expertise into mobilephone biology research.

The publication is meant for researchers and graduate scholars operating within the fields of molecular mobile biology, bio-engineering and bio-mechanics, delicate subject physics, computational mechanics, bio-chemistry and bio-medicine.

All members are prime students of their respective fields. Dr. Shaofan Li is a professor and a professional for computational mechanics on the collage of California-Berkeley, united states; Dr. Bohua solar is a professor at Cape Peninsula collage of know-how, South Africa.

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By Ignacio Romero, Juan J. Arribas (auth.), Prof. Shaofan Li, Prof. Bohua Sun (eds.)

ISBN-10: 3642175899

ISBN-13: 9783642175893

ISBN-10: 3642175902

ISBN-13: 9783642175909

"Advances in mobile Mechanics" provides the most recent advancements in cellphone mechanics and biophysics, quite often concentrating on interdisciplinary examine in phone biology and the biophysics of cells. in addition, a different function of the e-book is its emphasis at the molecular and intricate continuum modeling and simulations of the cells. it can be the 1st paintings that brings rigorous and quantitative medical research and state of the art simulation expertise into mobilephone biology research.

The publication is meant for researchers and graduate scholars operating within the fields of molecular mobile biology, bio-engineering and bio-mechanics, delicate subject physics, computational mechanics, bio-chemistry and bio-medicine.

All members are prime students of their respective fields. Dr. Shaofan Li is a professor and a professional for computational mechanics on the collage of California-Berkeley, united states; Dr. Bohua solar is a professor at Cape Peninsula collage of know-how, South Africa.

Show description

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Extra resources for Advances in Cell Mechanics

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The simulation shows that the cell can sense substrate elasticity by responding via cell spreading, altered cell contact configurations, and altered molecular conformations. 1 Introduction A major recent advance in cellular and molecular biology is the discovery that cell behavior depends on the sensitivity toward both the rigidity and surface micro-structures of the surrounding extracellular matrix (ECM) environment. edu. S. , Advances in Cell Mechanics © Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg 2011 28 Chapter 2 Multiscale Biomechanical Modeling of Stem Cell-Extracellular Matrix Interactions matrix elasticity directs stem cell lineage specification.

8] Cuvelier D, Thery M, Chiu Y, et al. The universal dynamics of cell spreading. Current Biology, 17: 694-699, 2007. [9] Yeung T, Georges P C, Flanagan L A, et al. Effects of substrate stiffness on cell morphology, cytoskeletal structure, and adhesion. Cell Motility and the Cytoskeleton 60: 24-34, 2005. [10] Paszek M J, Zahir N, Johnson K R, et al. Tensional homeostasis and the malignant phenotype. Cancer Cell, 8: 241-254, 2005. [11] Winer J P, Oake S and Janmey P A. Non-linear elasticity of extracellular matrices enables contractile cells to communicate local position and orientation.

It has been shown in this paper that the soft matter approach can offer explanations regarding the interaction between stem cells and its mechanical niche. In some cases, the soft matter physics model has even shown a predictive power. It is the authors’ opinion that by combining the soft matter model with a molecular simulation, we may be able to achieve qualitative prediction of cell behavior while corroborating with experimental observation. The predictive stem cell model may provide both scientific insight and clinical guidance on a host of health care problems, such as regenerated medicine and drug design and delivery problems.

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Advances in Cell Mechanics by Ignacio Romero, Juan J. Arribas (auth.), Prof. Shaofan Li, Prof. Bohua Sun (eds.)


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