Evidence map›Paper›PMID 23524292›Full record

ArticleBiochimica et biophysica acta2014

Global analysis of phosphorylation networks in humans.

Jianfei Hu, Hee-Sool Rho, Robert H Newman, Woochang Hwang, John Neiswinger, Heng Zhu, Jin Zhang, Jiang Qian

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
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  8. K-BILDS: A Kinase Substrate Discovery Tool.Chembiochem : a European journal of chemical biology · 2017
    Article
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  11. Review
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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 3 institutions in 1 country.

Jianfei HuDepartment of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
Hee-Sool Rho
Robert H Newman
Woochang Hwang
John Neiswinger
Heng Zhu
Jin Zhang
Jiang Qian
Johns Hopkins Medicine · USJohns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Mechanisms of Compartmentalized cAMP SignalingR01DK073368 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jin Zhang · 2006 to 2026
$7.6M
Networks, Pathways and Dynamics of Lysine ModificationU54GM103520 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S. · 2012 to 2013
$7.0M
DNA-Binding Activity of Human Transcription FactorsR01GM076102 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2014
$2.6M
Creating a Genetically Encodable Nano-Compass to Navigate in Molecular NetworksDP1OD006419 · OD · JOHNS HOPKINS UNIVERSITY · PI ZHANG, JIN · 2009 to 2011
$2.5M
Creating a Genetically Encodable Nano-Compass to Navigate in Molecular NetworksDP1CA174423 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, JIN · 2012 to 2014
$1.6M
Dynamic Usage of Network Motifs in Retinal Development and DiseasesR21EY021897 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2011 to 2012
$446k
NCI NIH HHS DP1 CA174423NEI NIH HHS R21 EY021897NIDDK NIH HHS R01 DK073368NIGMS NIH HHS R01 GM076102NIGMS NIH HHS U54 GM103520NIH HHS DP1 OD006419
6 · The paper itself

Abstract

Phosphorylation-mediated signaling plays a crucial role in nearly every aspect of cellular physiology. A recent study based on protein microarray experiments identified a large number of kinase-substrate relationships (KSRs), and built a comprehensive and reliable phosphorylation network in humans. Analysis of this network, in conjunction with additional resources, revealed several key features. First, comparison of the human and yeast phosphorylation networks uncovered an evolutionarily conserved signaling backbone dominated by kinase-to-kinase relationships. Second, although most of the KSRs themselves are not conserved, the functions enriched in the substrates for a given kinase are often conserved. Third, the prevalence of kinase-transcription factor regulatory modules suggests that phosphorylation and transcriptional regulatory networks are inherently wired together to form integrated regulatory circuits. Overall, the phosphorylation networks described in this work promise to offer new insights into the properties of kinase signaling pathways, at both the global and the protein levels. This article is part of a Special Issue entitled: Computational Proteomics, Systems Biology & Clinical Implications. Guest Editor: Yudong Cai.

Indexed as

Systems BiologyComputational BiologyGene Regulatory NetworksHumansPhosphorylationPhosphotransferasesProteomicsSaccharomyces cerevisiaeSignal TransductionTranscription FactorsPhosphotransferasesTranscription FactorsConservationKinase–substrate relationships (KSRs)Network modulePhosphorylation network

Identifiers

PMID23524292
PMCPMC3815481
OpenAlexW2056127109

What OpenQuestion holds

Textmetadata
LicenceTDM
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.