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Live-cell imaging and mathematical analysis of the “community effect” in apoptosis

Diane Coursier, David Coulette, Hélène Leman, Emmanuel Grenier, View ORCID ProfileGabriel Ichim
doi: https://doi.org/10.1101/2022.07.21.500970
Diane Coursier
1Cancer Research Center of Lyon (CRCL) INSERM 1052, CNRS 5286, Lyon, France
2Cancer Cell Death Laboratory, part of LabEx DEVweCAN, Université de Lyon, Lyon, France
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David Coulette
3ENS-Lyon, UMR CNRS 5669 ‘UMPA’ and INRIA Alpes, project NUMED, Lyon, F-69364, France
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Hélène Leman
3ENS-Lyon, UMR CNRS 5669 ‘UMPA’ and INRIA Alpes, project NUMED, Lyon, F-69364, France
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Emmanuel Grenier
3ENS-Lyon, UMR CNRS 5669 ‘UMPA’ and INRIA Alpes, project NUMED, Lyon, F-69364, France
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Gabriel Ichim
1Cancer Research Center of Lyon (CRCL) INSERM 1052, CNRS 5286, Lyon, France
2Cancer Cell Death Laboratory, part of LabEx DEVweCAN, Université de Lyon, Lyon, France
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  • ORCID record for Gabriel Ichim
  • For correspondence: gabriel.ichim@lyon.unicancer.fr
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Abstract

As a cellular intrinsic mechanism leading to cellular demise, apoptosis was thoroughly characterized from a mechanistic perspective. Nowadays there is an increasing interest in describing the non-cell autonomous or community effects of apoptosis, especially in the context of resistance to cancer treatments. Transitioning from cell-centered to cell population-relevant mechanisms adds a layer of complexity for imaging and analyzing an enormous number of apoptotic events. In addition, the community effect between apoptotic and living cells is difficult to be taken into account for complex analysis. We describe here a robust and easy to implement method to analyze the interactions between cancer cells, while under apoptotic pressure. Using this approach we showed as proof-of-concept that apoptosis is insensitive to cellular density, while the proximity to apoptotic cells increases the probability of a given cell to undergo apoptosis.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 22, 2022.
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Live-cell imaging and mathematical analysis of the “community effect” in apoptosis
Diane Coursier, David Coulette, Hélène Leman, Emmanuel Grenier, Gabriel Ichim
bioRxiv 2022.07.21.500970; doi: https://doi.org/10.1101/2022.07.21.500970
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Live-cell imaging and mathematical analysis of the “community effect” in apoptosis
Diane Coursier, David Coulette, Hélène Leman, Emmanuel Grenier, Gabriel Ichim
bioRxiv 2022.07.21.500970; doi: https://doi.org/10.1101/2022.07.21.500970

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