Literature DB >> 29114053

Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing.

Brian A Camley1,2,3, Wouter-Jan Rappel3.   

Abstract

When a single cell senses a chemical gradient and chemotaxes, stochastic receptor-ligand binding can be a fundamental limit to the cell's accuracy. For clusters of cells responding to gradients, however, there is a critical difference: Even genetically identical cells have differing responses to chemical signals. With theory and simulation, we show collective chemotaxis is limited by cell-to-cell variation in signaling. We find that when different cells cooperate, the resulting bias can be much larger than the effects of ligand-receptor binding. Specifically, when a strongly responding cell is at one end of a cell cluster, cluster motion is biased toward that cell. These errors are mitigated if clusters average measurements over times long enough for cells to rearrange. In consequence, fluid clusters are better able to sense gradients: We derive a link between cluster accuracy, cell-to-cell variation, and the cluster rheology. Because of this connection, increasing the noisiness of individual cell motion can actually increase the collective accuracy of a cluster by improving fluidity.

Entities:  

Keywords:  cell-to-cell variability; chemotaxis; collective motion; fundamental bounds; rheology

Mesh:

Year:  2017        PMID: 29114053      PMCID: PMC5703308          DOI: 10.1073/pnas.1712309114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  47 in total

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3.  Modeling and analysis of collective cell migration in an in vivo three-dimensional environment.

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4.  Collective Chemotaxis through Noisy Multicellular Gradient Sensing.

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Journal:  Biophys J       Date:  2016-08-09       Impact factor: 4.033

5.  Collective cell durotaxis emerges from long-range intercellular force transmission.

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Journal:  Science       Date:  2016-09-09       Impact factor: 47.728

6.  Collective migration exhibits greater sensitivity but slower dynamics of alignment to applied electric fields.

Authors:  Mark L Lalli; Anand R Asthagiri
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7.  How geometry and internal bias affect the accuracy of eukaryotic gradient sensing.

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8.  The physics of eukaryotic chemotaxis.

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  6 in total

1.  Minimal Network Topologies for Signal Processing during Collective Cell Chemotaxis.

Authors:  Haicen Yue; Brian A Camley; Wouter-Jan Rappel
Journal:  Biophys J       Date:  2018-06-19       Impact factor: 4.033

Review 2.  Collective gradient sensing and chemotaxis: modeling and recent developments.

Authors:  Brian A Camley
Journal:  J Phys Condens Matter       Date:  2018-04-12       Impact factor: 2.333

3.  Topological data analysis of collective and individual epithelial cells using persistent homology of loops.

Authors:  Dhananjay Bhaskar; William Y Zhang; Ian Y Wong
Journal:  Soft Matter       Date:  2021-05-05       Impact factor: 4.046

Review 4.  Tissue rheology in embryonic organization.

Authors:  Nicoletta I Petridou; Carl-Philipp Heisenberg
Journal:  EMBO J       Date:  2019-09-12       Impact factor: 11.598

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

Authors:  Jonathan Fiorentino; Antonio Scialdone
Journal:  PLoS Comput Biol       Date:  2022-03-14       Impact factor: 4.475

Review 6.  Roles of leader and follower cells in collective cell migration.

Authors:  Lei Qin; Dazhi Yang; Weihong Yi; Huiling Cao; Guozhi Xiao
Journal:  Mol Biol Cell       Date:  2021-07-01       Impact factor: 4.138

  6 in total

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