Understanding How Cells Probe the World: A Preliminary Step towards Modeling Cell Behavior?

Int J Mol Sci

Laboratory Adhesion and Inflammation (LAI), Inserm UMR 1067, Cnrs UMR 7333, Aix-Marseille Université UM 61, 13009 Marseille, France.

Published: January 2023

AI Article Synopsis

  • Advances in high-throughput measurement methods are making it easier for cell biologists to model cell function quantitatively.
  • The paper argues for a more integrated approach to understanding how environmental cues affect cell behavior, emphasizing the need to link these cues to physiological outcomes.
  • The author also highlights the importance of exogenous signals, like surrounding medium composition and surface properties, in influencing cell fate decisions and suggests two key research directions for improving cell modeling.

Article Abstract

Cell biologists have long aimed at quantitatively modeling cell function. Recently, the outstanding progress of high-throughput measurement methods and data processing tools has made this a realistic goal. The aim of this paper is twofold: First, to suggest that, while much progress has been done in modeling cell states and transitions, current accounts of environmental cues driving these transitions remain insufficient. There is a need to provide an integrated view of the biochemical, topographical and mechanical information processed by cells to take decisions. It might be rewarding in the near future to try to connect cell environmental cues to physiologically relevant outcomes rather than modeling relationships between these cues and internal signaling networks. The second aim of this paper is to review exogenous signals that are sensed by living cells and significantly influence fate decisions. Indeed, in addition to the composition of the surrounding medium, cells are highly sensitive to the properties of neighboring surfaces, including the spatial organization of anchored molecules and substrate mechanical and topographical properties. These properties should thus be included in models of cell behavior. It is also suggested that attempts at cell modeling could strongly benefit from two research lines: (i) trying to decipher the way cells encode the information they retrieve from environment analysis, and (ii) developing more standardized means of assessing the quality of proposed models, as was done in other research domains such as protein structure prediction.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916635PMC
http://dx.doi.org/10.3390/ijms24032266DOI Listing

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