Evidence map›Paper›PMID 25658582›Full record

ArticlePLoS computational biology2015

Cell cycle control by a minimal Cdk network.

Claude Gérard, John J Tyson, Damien Coudreuse, Béla Novák

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 59 citations in OpenAlex.

  1. Decoding Cdk1 control: from mitotic thresholds to meiotic specificity.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2026
    Review
  2. Review
  3. The bistable mitotic switch in fission yeast.Molecular biology of the cell · 2024
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Adaptive behaviour and learning in slime moulds: the role of oscillations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A checkpoint-oriented cell cycle simulation model.Cell cycle (Georgetown, Tex.) · 2019
    Article
  16. Article
  17. Cyclin Y Modulates the Proliferation, Invasion, and Metastasis of Hepatocellular Carcinoma Cells.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Claude GérardOxford Centre for Integrative Systems Biology, Department of Biochemistry, University of Oxford, Oxford, United Kingdom.
John J TysonDepartment of Biological Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.
Damien CoudreuseInstitut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France.
Béla NovákOxford Centre for Integrative Systems Biology, Department of Biochemistry, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBInstitut de génétique et de développement de Rennes · FRVirginia Tech · US

Funding

Stochastic Models of Cell Cycle Regulation in EukaryotesR01GM078989 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI PECCOUD, JEAN M, TYSON, JOHN J. · 2006 to 2018
$5.3M
NIGMS NIH HHS 5R01-GM078989-07NIGMS NIH HHS R01 GM078989
6 · The paper itself

Abstract

In present-day eukaryotes, the cell division cycle is controlled by a complex network of interacting proteins, including members of the cyclin and cyclin-dependent protein kinase (Cdk) families, and the Anaphase Promoting Complex (APC). Successful progression through the cell cycle depends on precise, temporally ordered regulation of the functions of these proteins. In light of this complexity, it is surprising that in fission yeast, a minimal Cdk network consisting of a single cyclin-Cdk fusion protein can control DNA synthesis and mitosis in a manner that is indistinguishable from wild type. To improve our understanding of the cell cycle regulatory network, we built and analysed a mathematical model of the molecular interactions controlling the G1/S and G2/M transitions in these minimal cells. The model accounts for all observed properties of yeast strains operating with the fusion protein. Importantly, coupling the model's predictions with experimental analysis of alternative minimal cells, we uncover an explanation for the unexpected fact that elimination of inhibitory phosphorylation of Cdk is benign in these strains while it strongly affects normal cells. Furthermore, in the strain without inhibitory phosphorylation of the fusion protein, the distribution of cell size at division is unusually broad, an observation that is accounted for by stochastic simulations of the model. Our approach provides novel insights into the organization and quantitative regulation of wild type cell cycle progression. In particular, it leads us to propose a new mechanistic model for the phenomenon of mitotic catastrophe, relying on a combination of unregulated, multi-cyclin-dependent Cdk activities.

Indexed as

Models, BiologicalCell Cycle CheckpointsComputational BiologyCyclin-Dependent KinasesPhosphorylationSchizosaccharomycesCyclin-Dependent Kinases

Identifiers

PMID25658582
PMCPMC4319789
OpenAlexW2066293545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.