Evidence map›Paper›PMID 24019491›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Dissection of Cdk1-cyclin complexes in vivo.

Po Hien Ear, Michael J Booth, Diala Abd-Rabbo, Jacqueline Kowarzyk Moreno, Conrad Hall, Daici Chen, Jackie Vogel, Stephen W Michnick

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 17 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

8 authors at 2 institutions in 2 countries.

Po Hien EarDépartement de Biochimie and Centre Robert-Cedergren, Bio-Informatique et Génomique, Université de Montréal, Montréal, QC, Canada H3C 3J7.
Michael J Booth
Diala Abd-Rabbo
Jacqueline Kowarzyk Moreno
Conrad Hall
Daici Chen
Jackie Vogel
Stephen W Michnick
Département de Chimie Moléculaire · FRMcGill University · CA

Funding

Canadian Institutes of Health Research MOP-123335
6 · The paper itself

Abstract

Cyclin-dependent kinases (Cdks) are regulatory enzymes with temporal and spatial selectivity for their protein substrates that are governed by cell cycle-regulated cyclin subunits. Specific cyclin-Cdk complexes bind to and phosphorylate target proteins, coupling their activity to cell cycle states. The identification of specific cyclin-Cdk substrates is challenging and so far, has largely been achieved through indirect correlation or use of in vitro techniques. Here, we use a protein-fragment complementation assay based on the optimized yeast cytosine deaminase to systematically identify candidate substrates of budding yeast Saccharomyces cerevisiae Cdk1 and show dependency on one or more regulatory cyclins. We identified known and candidate cyclin dependencies for many predicted protein kinase Cdk1 targets and showed elusory Clb3-Cdk1-specific phosphorylation of γ-tubulin, thus establishing the timing of this event in controlling assembly of the mitotic spindle. Our strategy can be generally applied to identify substrates and accessory subunits of multisubunit protein complexes.

Indexed as

CyclinsDNA Polymerase IIIModels, BiologicalMultiprotein ComplexesProtein BindingSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSubstrate SpecificityTubulinCyclinsDNA Polymerase IIIMultiprotein ComplexesPOL3 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTubulincyclin specificityin vivo enzyme complexes screen

Identifiers

PMID24019491
PMCPMC3785786
OpenAlexW2064601039

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.