Evidence map›Paper›PMID 20739927›Full record

ArticleMolecular systems biology2010

A model of yeast cell-cycle regulation based on multisite phosphorylation.

Debashis Barik, William T Baumann, Mark R Paul, Bela Novak, John J Tyson

Abstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A hybrid stochastic model of the budding yeast cell cycle.NPJ systems biology and applications · 2020
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Asynchronous τ-leaping.The Journal of chemical physics · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Cell cycle control by a minimal Cdk network.PLoS computational biology · 2015
    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

5 authors.

Debashis BarikDepartment of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
William T Baumann
Mark R Paul
Bela Novak
John J Tyson

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 1 R01 GM078989NIGMS NIH HHS R01 GM078989
6 · The paper itself

Abstract

In order for the cell's genome to be passed intact from one generation to the next, the events of the cell cycle (DNA replication, mitosis, cell division) must be executed in the correct order, despite the considerable molecular noise inherent in any protein-based regulatory system residing in the small confines of a eukaryotic cell. To assess the effects of molecular fluctuations on cell-cycle progression in budding yeast cells, we have constructed a new model of the regulation of Cln- and Clb-dependent kinases, based on multisite phosphorylation of their target proteins and on positive and negative feedback loops involving the kinases themselves. To account for the significant role of noise in the transcription and translation steps of gene expression, the model includes mRNAs as well as proteins. The model equations are simulated deterministically and stochastically to reveal the bistable switching behavior on which proper cell-cycle progression depends and to show that this behavior is robust to the level of molecular noise expected in yeast-sized cells (approximately 50 fL volume). The model gives a quantitatively accurate account of the variability observed in the G1-S transition in budding yeast, which is governed by an underlying sizer+timer control system.

Indexed as

Cell CycleModels, BiologicalComputer SimulationG1 PhaseGene Expression Regulation, FungalPhosphorylationPloidiesRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsStochastic ProcessesTime FactorsRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID20739927
PMCPMC2947364

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.