Evidence map›Paper›PMID 19156128›Full record

ArticleMolecular systems biology2009

Cell cycle regulation by feed-forward loops coupling transcription and phosphorylation.

Attila Csikász-Nagy, Orsolya Kapuy, Attila Tóth, Csaba Pál, Lars Juhl Jensen, Frank Uhlmann, John J Tyson, Béla Novák

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

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  10. A Clb/Cdk1-mediated regulation of Fkh2 synchronizesNPJ systems biology and applications · 2017
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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

8 authors at 6 institutions in 6 countries.

Attila Csikász-NagyThe Microsoft Research, University of Trento Centre for Computational and Systems Biology, Povo, Trento, Italy. csikasz@cosbi.eu
Orsolya Kapuy
Attila Tóth
Csaba Pál
Lars Juhl Jensen
Frank Uhlmann
John J Tyson
Béla Novák
The Microsoft Research - University of Trento Centre for Computational and Systems Biology · ITUniversity of Oxford · GBBudapest University of Technology and Economics · HUCancer Research UK · GBUniversity of Copenhagen · DKVirginia 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
Experimental and Computational Studies of Exit from Mitosis in Budding YeastR01GM079207 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI TYSON, JOHN J. · 2007 to 2010
$1.5M
European Research Council 202591NIGMS NIH HHS 5R01GM079207NIGMS NIH HHS R01 GM078989NIGMS NIH HHS R01 GM079207
6 · The paper itself

Abstract

The eukaryotic cell cycle requires precise temporal coordination of the activities of hundreds of 'executor' proteins (EPs) involved in cell growth and division. Cyclin-dependent protein kinases (Cdks) play central roles in regulating the production, activation, inactivation and destruction of these EPs. From genome-scale data sets of budding yeast, we identify 126 EPs that are regulated by Cdk1 both through direct phosphorylation of the EP and through phosphorylation of the transcription factors that control expression of the EP, so that each of these EPs is regulated by a feed-forward loop (FFL) from Cdk1. By mathematical modelling, we show that such FFLs can activate EPs at different phases of the cell cycle depending of the effective signs (+ or -) of the regulatory steps of the FFL. We provide several case studies of EPs that are controlled by FFLs exactly as our models predict. The signal-transduction properties of FFLs allow one (or a few) Cdk signal(s) to drive a host of cell cycle responses in correct temporal sequence.

Indexed as

Cell CycleTranscription, GeneticCyclin-Dependent KinasesPhosphorylationTranscription FactorsCyclin-Dependent KinasesTranscription Factors

Identifiers

PMID19156128
PMCPMC2644172
OpenAlexW2006777346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.