Evidence map›Paper›PMID 26310445›Full record

ArticleMolecular biology of the cell2015

Experimental testing of a new integrated model of the budding yeast Start transition.

Neil R Adames, P Logan Schuck, Katherine C Chen, T M Murali, John J Tyson, Jean Peccoud

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Neil R AdamesVirginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061 nadames@vbi.vt.edu.
P Logan SchuckVirginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061.
Katherine C ChenDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA 24061.
T M MuraliDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061 ICTAS Center for Systems Biology of Engineered Tissues, Virginia Tech, Blacksburg, VA 24061.
John J TysonVirginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061 Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061.
Jean PeccoudVirginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061 ICTAS Center for Systems Biology of Engineered Tissues, Virginia Tech, Blacksburg, VA 24061.
Virginia Tech · USCenter for Systems Biology · 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
Integrating Top-Down and Bottom-Up Models in Systems Biology with Application toR01GM095955 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MURALI, T M · 2011 to 2015
$2.0M
NIGMS NIH HHS GM078989NIGMS NIH HHS R01 GM078989NIGMS NIH HHS R01 GM095955NIGMS NIH HHS R01-GM095955
6 · The paper itself

Abstract

The cell cycle is composed of bistable molecular switches that govern the transitions between gap phases (G1 and G2) and the phases in which DNA is replicated (S) and partitioned between daughter cells (M). Many molecular details of the budding yeast G1-S transition (Start) have been elucidated in recent years, especially with regard to its switch-like behavior due to positive feedback mechanisms. These results led us to reevaluate and expand a previous mathematical model of the yeast cell cycle. The new model incorporates Whi3 inhibition of Cln3 activity, Whi5 inhibition of SBF and MBF transcription factors, and feedback inhibition of Whi5 by G1-S cyclins. We tested the accuracy of the model by simulating various mutants not described in the literature. We then constructed these novel mutant strains and compared their observed phenotypes to the model's simulations. The experimental results reported here led to further changes of the model, which will be fully described in a later article. Our study demonstrates the advantages of combining model design, simulation, and testing in a coordinated effort to better understand a complex biological network.

Indexed as

Models, GeneticCell CycleCell Cycle CheckpointsComputer SimulationG1 PhasePromoter Regions, GeneticReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptional ActivationTranscription FactorsSaccharomyces cerevisiae ProteinsTranscription Factors

Identifiers

PMID26310445
PMCPMC4710230
OpenAlexW2283557773

What OpenQuestion holds

Textmetadata
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.