Evidence map›Paper›PMID 24023761›Full record

ArticlePloS one2013

Profiling the dynamics of a human phosphorylome reveals new components in HGF/c-Met signaling.

Crystal L Woodard, C Rory Goodwin, Jun Wan, Shuli Xia, Robert Newman, Jianfei Hu, Jin Zhang, S Diane Hayward, Jiang Qian, John Laterra and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Phosprof: pathway analysis database of drug response based on phosphorylation activity measurements.Database : the journal of biological databases and curation · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

11 authors at 3 institutions in 1 country.

Crystal L WoodardDepartment of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
C Rory Goodwin
Jun Wan
Shuli Xia
Robert Newman
Jianfei Hu
Jin Zhang
S Diane Hayward
Jiang Qian
John Laterra
Heng Zhu
Johns Hopkins Medicine · USJohns Hopkins University · USKennedy Krieger Institute · US

Funding

TCP5: ACTIVE SITE LABELING REAGENT FOR ACETYLTRANSFERASESU54RR020839 · NCRR · JOHNS HOPKINS UNIVERSITY · PI BOEKE, JEF D · 2004 to 2011
$27.4M
Mechanisms of Compartmentalized cAMP SignalingR01DK073368 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jin Zhang · 2006 to 2026
$7.6M
Lesch-Nyhan Disease: A Model for Complex Genetic, Proteomic & Metabolic PathwaysR24DK082840 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRIEDMANN, THEODORE · 2008 to 2012
$7.3M
Mechanisms of Chemo/Radioresistance in Human GliomasR01NS043987 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LATERRA, JOHN J, ROSEN, ELIOT M. · 2003 to 2012
$4.9M
DNA-Binding Activity of Human Transcription FactorsR01GM076102 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2014
$2.6M
Neutralizing Anti-HGF mAbs and CNS MalignancyR01CA129192 · NCI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LATERRA, JOHN J · 2007 to 2010
$1.2M
Computational Analysis of Retinal Regulatory Interactions: structure and dynamicsR01EY017589 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2007 to 2010
$1.1M
MANIPULATION OF KINASE ACTIVITY BY KSHV LANAR21CA138163 · NCI · JOHNS HOPKINS UNIVERSITY · PI HAYWARD, S DIANE · 2009 to 2010
$397k
NCI NIH HHS R01 CA129192NCI NIH HHS R21 CA138163NCRR NIH HHS RR020839NCRR NIH HHS U54 RR020839NEI NIH HHS R01 EY017589NIDDK NIH HHS DK082840NIDDK NIH HHS R01 DK073368NIDDK NIH HHS R24 DK082840NIGMS NIH HHS R01 GM076102NINDS NIH HHS R01 NS043987NINDS NIH HHS R01 NS43987
6 · The paper itself

Abstract

Protein phosphorylation is a dynamic and reversible event that greatly influences cellular function. Identifying the key regulatory elements that determine cellular phenotypes during development and oncogenesis requires the ability to dynamically monitor proteome-wide events. Here, we report the development of a new strategy to monitor dynamic changes of protein phosphorylation in cells and tissues using functional protein microarrays as the readout. To demonstrate this technology's ability to identify condition-dependent phosphorylation events, human protein microarrays were incubated with lysates from cells or tissues under activation or inhibition of c-Met, a receptor tyrosine kinase involved in tissue morphogenesis and malignancy. By comparing the differences between the protein phosphorylation profiles obtained using the protein microarrays, we were able to recover many of the proteins that are known to be specifically activated (i.e., phosphorylated) upon c-Met activation by the hepatocyte growth factor (HGF). Most importantly, we discovered many proteins that were differentially phosphorylated by lysates from cells or tissues when the c-Met pathway was active. Using phosphorylation-specific antibodies, we were able to validate several candidate proteins as new downstream components of the c-Met signaling pathway in cells. We envision that this new approach, like its DNA microarray counterpart, can be further extended toward profiling dynamics of global protein phosphorylation under many different physiological conditions both in cellulo and in vivo in a high-throughput and cost-effective fashion.

Indexed as

Hepatocyte Growth FactorHumansOligonucleotide Array Sequence AnalysisPhosphorylationProtein Array AnalysisProto-Oncogene Proteins c-metSignal TransductionHepatocyte Growth FactorMET protein, humanProto-Oncogene Proteins c-met

Identifiers

PMID24023761
PMCPMC3759380
OpenAlexW2033269165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.