Li, T;
Mary, H;
Grosjean, M;
Fouchard, J;
Cabello, S;
Reyes, C;
Tournier, S;
(2017)
MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast.
Molecular Biology of the Cell
, 28
(12)
pp. 1601-1611.
10.1091/mbc.E16-10-0723.
Preview |
Text
Fouchard_Mol. Biol. Cell-2017-Li-1601-11.pdf - Published Version Download (6MB) | Preview |
Abstract
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 mispositioning, 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.
| Type: | Article |
|---|---|
| Title: | MAARS: a novel high-content acquisition software for the analysis of mitotic defects in fission yeast |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1091/mbc.E16-10-0723 |
| Publisher version: | http://doi.org/10.1091/mbc.E16-10-0723 |
| Language: | English |
| Additional information: | © 2017 Li et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1564036 |
Archive Staff Only
 |
View Item |
