Evidence map›Paper›PMID 17704157›Full record

ArticleBiophysical journal2007

Stable stochastic dynamics in yeast cell cycle.

Yurie Okabe, Masaki Sasai

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. A hybrid stochastic model of the budding yeast cell cycle.NPJ systems biology and applications · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exploring the roles of noise in the eukaryotic cell cycle.Proceedings of the National Academy of Sciences of the United States of America · 2009
    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

2 authors.

Yurie OkabeDepartment of Computational Science and Engineering, Nagoya University, Nagoya, Japan.
Masaki Sasai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical reactions in cells are subject to intense stochastic fluctuations. An important question is how the fundamental physiological behavior of the cell is kept stable against those noisy perturbations. In this study, a stochastic model of the cell cycle of budding yeast was constructed to analyze the effects of noise on the cell-cycle oscillation. The model predicts intense noise in levels of mRNAs and proteins, and the simulated protein levels explain the observed statistical tendency of noise in populations of synchronous and asynchronous cells. Despite intense noise in levels of proteins and mRNAs, the cell cycle is stable enough to bring the largely perturbed cells back to the physiological cyclic oscillation. The model shows that consecutively appearing fixed points are the origin of this stability of the cell cycle.

Indexed as

BiochemistryCatalysisCell CycleComputer SimulationGene Expression Regulation, FungalModels, BiologicalModels, StatisticalMonte Carlo MethodOscillometryPhosphorylationProteinsRNA, MessengerSaccharomyces cerevisiaeStochastic ProcessesTime FactorsProteinsRNA, Messenger

Identifiers

PMID17704157
PMCPMC2072056

What OpenQuestion holds

Textmetadata
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.