Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research

How do cells process environmental cues to make decisions? This simple question is still generating much experimental and theoretical work, at the border of physics, chemistry and biology, with strong implications in medicine. The purpose of mechanobiology is to understand how biochemical and physic...

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Autores principales:	Pierre-Henri Puech, Pierre Bongrand
Formato:	article
Lenguaje:	EN
Publicado:	The Royal Society 2021
Materias:	signalling mechanics cytoskeleton biomolecular interactions catch bonds T lymphocyte activation Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c87def87e66244a889583c51b7766ac5
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spelling	oai:doaj.org-article:c87def87e66244a889583c51b7766ac52021-11-12T10:09:35ZMechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research10.1098/rsob.2102562046-2441https://doaj.org/article/c87def87e66244a889583c51b7766ac52021-11-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsob.210256https://doaj.org/toc/2046-2441How do cells process environmental cues to make decisions? This simple question is still generating much experimental and theoretical work, at the border of physics, chemistry and biology, with strong implications in medicine. The purpose of mechanobiology is to understand how biochemical and physical cues are turned into signals through mechanotransduction. Here, we review recent evidence showing that (i) mechanotransduction plays a major role in triggering signalling cascades following cell–neighbourhood interaction; (ii) the cell capacity to continually generate forces, and biomolecule properties to undergo conformational changes in response to piconewton forces, provide a molecular basis for understanding mechanotransduction; and (iii) mechanotransduction shapes the guidance cues retrieved by living cells and the information flow they generate. This includes the temporal and spatial properties of intracellular signalling cascades. In conclusion, it is suggested that the described concepts may provide guidelines to define experimentally accessible parameters to describe cell structure and dynamics, as a prerequisite to take advantage of recent progress in high-throughput data gathering, computer simulation and artificial intelligence, in order to build a workable, hopefully predictive, account of cell signalling networks.Pierre-Henri PuechPierre BongrandThe Royal Societyarticlesignallingmechanicscytoskeletonbiomolecular interactionscatch bondsT lymphocyte activationBiology (General)QH301-705.5ENOpen Biology, Vol 11, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	signalling mechanics cytoskeleton biomolecular interactions catch bonds T lymphocyte activation Biology (General) QH301-705.5
spellingShingle	signalling mechanics cytoskeleton biomolecular interactions catch bonds T lymphocyte activation Biology (General) QH301-705.5 Pierre-Henri Puech Pierre Bongrand Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
description	How do cells process environmental cues to make decisions? This simple question is still generating much experimental and theoretical work, at the border of physics, chemistry and biology, with strong implications in medicine. The purpose of mechanobiology is to understand how biochemical and physical cues are turned into signals through mechanotransduction. Here, we review recent evidence showing that (i) mechanotransduction plays a major role in triggering signalling cascades following cell–neighbourhood interaction; (ii) the cell capacity to continually generate forces, and biomolecule properties to undergo conformational changes in response to piconewton forces, provide a molecular basis for understanding mechanotransduction; and (iii) mechanotransduction shapes the guidance cues retrieved by living cells and the information flow they generate. This includes the temporal and spatial properties of intracellular signalling cascades. In conclusion, it is suggested that the described concepts may provide guidelines to define experimentally accessible parameters to describe cell structure and dynamics, as a prerequisite to take advantage of recent progress in high-throughput data gathering, computer simulation and artificial intelligence, in order to build a workable, hopefully predictive, account of cell signalling networks.
format	article
author	Pierre-Henri Puech Pierre Bongrand
author_facet	Pierre-Henri Puech Pierre Bongrand
author_sort	Pierre-Henri Puech
title	Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
title_short	Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
title_full	Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
title_fullStr	Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
title_full_unstemmed	Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
title_sort	mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research
publisher	The Royal Society
publishDate	2021
url	https://doaj.org/article/c87def87e66244a889583c51b7766ac5
work_keys_str_mv	AT pierrehenripuech mechanotransductionasamajordriverofcellbehaviourmechanismsandrelevancetocellorganizationandfutureresearch AT pierrebongrand mechanotransductionasamajordriverofcellbehaviourmechanismsandrelevancetocellorganizationandfutureresearch
_version_	1718431078268534784

Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research

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