Evidence map›Paper›PMID 21288956›Full record

ArticleJournal of the Royal Society, Interface2011

Computational modelling of mitotic exit in budding yeast: the role of separase and Cdc14 endocycles.

P K Vinod, Paula Freire, Ahmed Rattani, Andrea Ciliberto, Frank Uhlmann, Bela Novak

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 27 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 4 institutions in 3 countries.

P K VinodDepartment of Biochemistry, Oxford Centre for Integrative Systems Biology, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
Paula Freire
Ahmed Rattani
Andrea Ciliberto
Frank Uhlmann
Bela Novak
University of Oxford · GBCancer Research UK · GBFIRC Institute of Molecular Oncology · ITInstituto Gulbenkian de Ciência · PT

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

The operating principles of complex regulatory networks are best understood with the help of mathematical modelling rather than by intuitive reasoning. Hereby, we study the dynamics of the mitotic exit (ME) control system in budding yeast by further developing the Queralt's model. A comprehensive systems view of the network regulating ME is provided based on classical experiments in the literature. In this picture, Cdc20-APC is a critical node controlling both cyclin (Clb2 and Clb5) and phosphatase (Cdc14) branches of the regulatory network. On the basis of experimental situations ranging from single to quintuple mutants, the kinetic parameters of the network are estimated. Numerical analysis of the model quantifies the dependence of ME control on the proteolytic and non-proteolytic functions of separase. We show that the requirement of the non-proteolytic function of separase for ME depends on cyclin-dependent kinase activity. The model is also used for the systematic analysis of the recently discovered Cdc14 endocycles. The significance of Cdc14 endocycles in eukaryotic cell cycle control is discussed as well.

Indexed as

Models, BiologicalBiological ClocksCell Cycle ProteinsEndopeptidasesMitosisProtein Tyrosine PhosphatasesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSeparaseCDC14 protein, S cerevisiaeCell Cycle ProteinsEndopeptidasesESP1 protein, S cerevisiaeProtein Tyrosine PhosphatasesSaccharomyces cerevisiae ProteinsSeparase

Identifiers

PMID21288956
PMCPMC3119881
OpenAlexW2152922122

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.