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

Open Biol

Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, CNRS UMR 7333, Aix-Marseille Université UM61, Marseille, France.

Published: November 2021

AI Article Synopsis

  • Cells process environmental cues through a field known as mechanobiology, which focuses on how physical and biochemical signals are converted into cellular responses.
  • Recent studies indicate that mechanotransduction is crucial for activating signaling pathways when cells interact with their surroundings.
  • Understanding how cells generate forces and change biomolecular structures in response to mechanical stress can help map out the complex networks of cell signaling and improve experimental approaches using advanced technologies.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586914PMC
http://dx.doi.org/10.1098/rsob.210256DOI Listing

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