响应细胞力学的代谢重编程

IF 2.4 4区 生物学 Q4 CELL BIOLOGY
Rebecca L. Splitt, Kris A. DeMali
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引用次数: 2

摘要

人们一直致力于理解细胞是如何感知和响应机械力的。细胞所经历的力的类型以及感知这些力的细胞表面受体已经被确定。将这种力传递到细胞内部的关键机制也出现了。然而,细胞如何处理机械信息并将其与其他细胞事件整合在一起,在很大程度上仍未被探索。在这里,我们回顾了细胞-细胞和细胞-基质粘附的机械转导机制,并总结了目前对细胞如何整合来自不同粘附复合物的信息与细胞代谢的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Metabolic reprogramming in response to cell mechanics

Metabolic reprogramming in response to cell mechanics

Much attention has been dedicated to understanding how cells sense and respond to mechanical forces. The types of forces cells experience as well as the repertoire of cell surface receptors that sense these forces have been identified. Key mechanisms for transmitting that force to the cell interior have also emerged. Yet, how cells process mechanical information and integrate it with other cellular events remains largely unexplored. Here we review the mechanisms underlying mechanotransduction at cell-cell and cell-matrix adhesions, and we summarize the current understanding of how cells integrate information from the distinct adhesion complexes with cell metabolism.

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来源期刊
Biology of the Cell
Biology of the Cell 生物-细胞生物学
CiteScore
5.30
自引率
0.00%
发文量
53
审稿时长
>12 weeks
期刊介绍: The journal publishes original research articles and reviews on all aspects of cellular, molecular and structural biology, developmental biology, cell physiology and evolution. It will publish articles or reviews contributing to the understanding of the elementary biochemical and biophysical principles of live matter organization from the molecular, cellular and tissues scales and organisms. This includes contributions directed towards understanding biochemical and biophysical mechanisms, structure-function relationships with respect to basic cell and tissue functions, development, development/evolution relationship, morphogenesis, stem cell biology, cell biology of disease, plant cell biology, as well as contributions directed toward understanding integrated processes at the organelles, cell and tissue levels. Contributions using approaches such as high resolution imaging, live imaging, quantitative cell biology and integrated biology; as well as those using innovative genetic and epigenetic technologies, ex-vivo tissue engineering, cellular, tissue and integrated functional analysis, and quantitative biology and modeling to demonstrate original biological principles are encouraged.
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