Evidence map›Paper›PMID 21460040›Full record

ArticleGenes & development2011

Diverse protein kinase interactions identified by protein microarrays reveal novel connections between cellular processes.

Joseph Fasolo, Andrea Sboner, Mark G F Sun, Haiyuan Yu, Rui Chen, Donald Sharon, Philip M Kim, Mark Gerstein, Michael Snyder

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed, 71 citations in OpenAlex.

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  13. The Ser/Thr Protein Kinase Protein-Protein Interaction Map ofMolecular & cellular proteomics : MCP · 2017
    Article
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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

9 authors at 4 institutions in 2 countries.

Joseph FasoloDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Andrea Sboner
Mark G F Sun
Haiyuan Yu
Rui Chen
Donald Sharon
Philip M Kim
Mark Gerstein
Michael Snyder
Stanford University · USYale University · USUniversity of Toronto · CACornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein kinases are key regulators of cellular processes. In spite of considerable effort, a full understanding of the pathways they participate in remains elusive. We globally investigated the proteins that interact with the majority of yeast protein kinases using protein microarrays. Eighty-five kinases were purified and used to probe yeast proteome microarrays. One-thousand-twenty-three interactions were identified, and the vast majority were novel. Coimmunoprecipitation experiments indicate that many of these interactions occurred in vivo. Many novel links of kinases to previously distinct cellular pathways were discovered. For example, the well-studied Kss1 filamentous pathway was found to bind components of diverse cellular pathways, such as those of the stress response pathway and the Ccr4-Not transcriptional/translational regulatory complex; genetic tests revealed that these different components operate in the filamentation pathway in vivo. Overall, our results indicate that kinases operate in a highly interconnected network that coordinates many activities of the proteome. Our results further demonstrate that protein microarrays uncover a diverse set of interactions not observed previously.

Indexed as

Protein Array AnalysisCell Physiological PhenomenaImmunoprecipitationMitogen-Activated Protein KinasesPhenotypeProtein BindingProtein KinasesReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsKSS1 protein, S cerevisiaeMitogen-Activated Protein KinasesProtein KinasesSaccharomyces cerevisiae Proteins

Identifiers

PMID21460040
PMCPMC3070938
OpenAlexW2133148997

What OpenQuestion holds

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Registered trials

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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.