Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Anaphase-promoting Complex ; Cycle-regulated Genes ; Fission Yeast ; Schizosaccharomyces-pombe ; Mitotic Checkpoint ; Cell-cycle ; Saccharomyces-cerevisiae ; Crystal-structure ; Chromosome Instability ; Biological Noise
Sprache
englisch
Veröffentlichungsjahr
2013
HGF-Berichtsjahr
2013
ISSN (print) / ISBN
1465-7392
e-ISSN
1476-4679
Zeitschrift
Nature Cell Biology
Quellenangaben
Band: 15,
Heft: 11,
Seiten: 1328-1239
Verlag
Nature Publishing Group
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-503800-001
PubMed ID
24161933
DOI
10.1038/ncb2864
WOS ID
WOS:000326680700009
Scopus ID
84887260003
Erfassungsdatum
2013-11-06