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Transgenerational cell fate profiling: A method for the graphical presentation of complex cell cycle alterations

  • Mohamed Jemaà
  • , Lorenzo Galluzzi
  • , Oliver Kepp
  • , Maria Castedo
  • , Santiago Rello-Varona
  • , Ilio Vitale
  • , Guido Kroemer
  • Université Paris-Sud
  • INSERM; U848
  • Université Paris-Saclay
  • Université Paris Cité
  • Assistance publique – Hôpitaux de Paris
  • Centre de Recherche des Cordeliers

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The illicit generation of tetraploid cells constitutes a prominent driver of oncogenesis, as it often precedes the development of aneuploidy and genomic instability. In addition, tetraploid (pre-)malignant cells display an elevated resistance against radio- and chemotherapy. Here, we report a strategy to preferentially kill tetraploid tumor cells based on the broad-spectrum kinase inhibitor SP600125. Live videomicroscopy revealed that SP600125 affects the execution of mitosis, impedes proper cell division and/or activates apoptosis in near-to-tetraploid, though less so in parental, cancer cells. We propose a novel graphical model to quantify the differential response of diploid and tetraploid cells to mitotic perturbators, including SP600125, which we baptized "transgenerational cell fate profiling." We speculate that this representation constitutes a valid alternative to classical "single-cell fate" and "genealogical" profiling and, hence, may facilitate the analysis of cell fate within a heterogeneous population as well as the visual examination of cell cycle alterations.

Original languageEnglish
Pages (from-to)183-190
Number of pages8
JournalCell Cycle
Volume12
Issue number1
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cell death
  • Cytokinesis failure
  • Microtubules
  • Mitotic catastrophe
  • Polyploidy
  • Time-lapse microscopy

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