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Fiorentino, J. ; Scialdone, A.

The role of cell geometry and cell-cell communication in gradient sensing.

PLoS Comput. Biol. 18:e1009552 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Cells can measure shallow gradients of external signals to initiate and accomplish a migration or a morphogenetic process. Recently, starting from mathematical models like the local-excitation global-inhibition (LEGI) model and with the support of empirical evidence, it has been proposed that cellular communication improves the measurement of an external gradient. However, the mathematical models that have been used have over-simplified geometries (e.g., they are uni-dimensional) or assumptions about cellular communication, which limit the possibility to analyze the gradient sensing ability of more complex cellular systems. Here, we generalize the existing models to study the effects on gradient sensing of cell number, geometry and of long- versus short-range cellular communication in 2D systems representing epithelial tissues. We find that increasing the cell number can be detrimental for gradient sensing when the communication is weak and limited to nearest neighbour cells, while it is beneficial when there is long-range communication. We also find that, with long-range communication, the gradient sensing ability improves for tissues with more disordered geometries; on the other hand, an ordered structure with mostly hexagonal cells is advantageous with nearest neighbour communication. Our results considerably extend the current models of gradient sensing by epithelial tissues, making a step further toward predicting the mechanism of communication and its putative mediator in many biological processes.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 1553-734X
e-ISSN 1553-7358
Journal PLoS Computational Biology
Quellenangaben Volume: 18, Issue: 3, Pages: , Article Number: e1009552 Supplement: ,
Publisher Public Library of Science (PLoS)
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epigenetics and Stem Cells (IES)
Institute of Computational Biology (ICB)
Institute of Functional Epigenetics (IFE)
Grants Helmholtz Association