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

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  • Additional Information
    • Contributors:
      Instituto de Biomedicina y Biotecnología de Cantabria Santander, Espagne (IBBTEC); Universidad de Cantabria Santander = University of Cantabria Spain = Université de Cantabrie Espagne (UC / UniCan); Numerical Medicine (NUMED); Unité de Mathématiques Pures et Appliquées (UMPA-ENSL); École normale supérieure de Lyon (ENS de Lyon)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria); École normale supérieure de Lyon (ENS de Lyon)-Centre National de la Recherche Scientifique (CNRS); Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL); Centre Léon Bérard Lyon -Université Claude Bernard Lyon 1 (UCBL); Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS); ANR-17-CONV-0002,PLASCAN,Institut François Rabelais pour la recherche multidisciplinaire sur le cancer(2017); ANR-18-CE13-0005,DEATH-FATE,Vivre avec la mort cellulaire: les effets non conventionnels de la mort cellulaire sur le devenir des cellules survivantes(2018)
    • Publication Information:
      HAL CCSD
    • Publication Date:
      2022
    • Collection:
      HAL Lyon 1 (University Claude Bernard Lyon 1)
    • 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.
    • Relation:
      hal-03821641; https://hal.science/hal-03821641; https://hal.science/hal-03821641/document; https://hal.science/hal-03821641/file/2022.07.21.500970v1.full.pdf; BIORXIV: 2022.07.21.500970
    • Accession Number:
      10.1007/s10495-022-01783-4
    • Online Access:
      https://hal.science/hal-03821641
      https://hal.science/hal-03821641/document
      https://hal.science/hal-03821641/file/2022.07.21.500970v1.full.pdf
      https://doi.org/10.1007/s10495-022-01783-4
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • Accession Number:
      edsbas.C48175A3