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Article Dans Une Revue Molecular Biology of the Cell Année : 2017

MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast

Tong Li
  • Fonction : Auteur
Hadrien Mary
  • Fonction : Auteur
Marie Grosjean
  • Fonction : Auteur
Jonathan Fouchard
Simon Cabello
  • Fonction : Auteur
Céline Reyes
  • Fonction : Auteur
Sylvie Tournier

Résumé

Faithful segregation of chromosomes during cell division relies on multiple processes such as chromosome attachment and correct spindle positioning. Yet mitotic progression is defined by multiple parameters, which need to be quantitatively evaluated. To study the spatiotemporal control of mitotic progression, we developed a high-content analysis (HCA) approach that combines automated fluorescence microscopy with real-time quantitative image analysis and allows the unbiased acquisition of multiparametric data at the single-cell level for hundreds of cells simultaneously. The Mitotic Analysis and Recording System (MAARS) provides automatic and quantitative single-cell analysis of mitotic progression on an open-source platform. It can be used to analyze specific characteristics such as cell shape, cell size, metaphase/anaphase delays, and mitotic abnormalities including spindle mis-positioning, spindle elongation defects, and chromosome segregation defects. Using this HCA approach, we were able to visualize rare and unexpected events of error correction during anaphase in wild-type or mutant cells. Our study illustrates that such an expert system of mitotic progression is able to highlight the complexity of the mechanisms required to prevent chromosome loss during cell division.
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Dates et versions

hal-02380653 , version 1 (26-11-2019)

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Tong Li, Hadrien Mary, Marie Grosjean, Jonathan Fouchard, Simon Cabello, et al.. MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast. Molecular Biology of the Cell, 2017, ⟨10.1091/mbc.E16-10-0723⟩. ⟨hal-02380653⟩
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