Open Access Green as soon as Postprint is submitted to ZB.
Determinants of robustness in spindle assembly checkpoint signalling.
Nat. Cell Biol. 15, 1328-1239 (2013)
The spindle assembly checkpoint is a conserved signalling pathway that protects genome integrity. Given its central importance, this checkpoint should withstand stochastic fluctuations and environmental perturbations, but the extent of and mechanisms underlying its robustness remain unknown. We probed spindle assembly checkpoint signalling by modulating checkpoint protein abundance and nutrient conditions in fission yeast. For core checkpoint proteins, a mere 20% reduction can suffice to impair signalling, revealing a surprising fragility. Quantification of protein abundance in single cells showed little variability (noise) of critical proteins, explaining why the checkpoint normally functions reliably. Checkpoint-mediated stoichiometric inhibition of the anaphase activator Cdc20 (Slp1 in Schizosaccharomyces pombe) can account for the tolerance towards small fluctuations in protein abundance and explains our observation that some perturbations lead to non-genetic variation in the checkpoint response. Our work highlights low gene expression noise as an important determinant of reliable checkpoint signalling.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
20.761
3.161
62
69
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Anaphase-promoting Complex ; Cycle-regulated Genes ; Fission Yeast ; Schizosaccharomyces-pombe ; Mitotic Checkpoint ; Cell-cycle ; Saccharomyces-cerevisiae ; Crystal-structure ; Chromosome Instability ; Biological Noise
Language
english
Publication Year
2013
HGF-reported in Year
2013
ISSN (print) / ISBN
1465-7392
e-ISSN
1476-4679
Journal
Nature Cell Biology
Quellenangaben
Volume: 15,
Issue: 11,
Pages: 1328-1239
Publisher
Nature Publishing Group
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503800-001
PubMed ID
24161933
DOI
10.1038/ncb2864
WOS ID
WOS:000326680700009
Scopus ID
84887260003
Erfassungsdatum
2013-11-06