Evidence map›Paper›PMID 32037842›Full record

ArticleJournal of proteome research2020

Kinobead/LC-MS Phosphokinome Profiling Enables Rapid Analyses of Kinase-Dependent Cell Signaling Networks.

Martin Golkowski, Venkata Narayana Vidadala, Ho-Tak Lau, Anna Shoemaker, Masami Shimizu-Albergine, Joseph Beavo, Dustin J Maly, Shao-En Ong

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

12 citing papers in PubMed, 13 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 1 institution in 1 country.

Martin GolkowskiDepartment of Pharmacology, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-0996-1655
Venkata Narayana VidadalaDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Ho-Tak LauDepartment of Pharmacology, University of Washington, Seattle, Washington 98195, United States.
Anna ShoemakerDepartment of Pharmacology, University of Washington, Seattle, Washington 98195, United States.
Masami Shimizu-AlbergineUniversity of Washington Medicine Diabetes Institute, University of Washington, Seattle, Washington 98109, United States.
Joseph BeavoDepartment of Pharmacology, University of Washington, Seattle, Washington 98195, United States.
Dustin J MalyDepartment of Chemistry, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-0094-0177
Shao-En OngDepartment of Pharmacology, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-3314-5903
University of Washington · US

Funding

New Molecular Probes For Protein KinasesR01GM086858 · NIGMS · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J · 2008 to 2025
$5.5M
Supplement to DEFINING PATHWAY-SPECIFIC KINASE SIGNALING MODULES WITH PROTEOMICSR01GM129090 · NIGMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2019 to 2022
$1.7M
Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based ProteomicsR01AR065459 · NIAMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2013 to 2017
$1.6M
A NanoLC-Orbitrap Tribrid Instrument for Comprehensive Proteomics AnalysesS10OD021502 · OD · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2017 to 2017
$906k
Kinase Profiling with Quantititative ChemoproteomicsR21CA177402 · NCI · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2013 to 2015
$665k
Frizzled2 Signaling in Metastatic CancersK22CA201229 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GUJRAL, TARAN SINGH · 2016 to 2018
$562k
Target identification by small-molecule labeling in live cellsR21EB018384 · NIBIB · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2014 to 2015
$425k
NCI NIH HHS R21 CA177402NIAMS NIH HHS R01 AR065459NIBIB NIH HHS R21 EB018384NIGMS NIH HHS R01 GM086858NIGMS NIH HHS R01 GM129090NIH HHS S10 OD021502
6 · The paper itself

Abstract

Kinase-catalyzed protein phosphorylation is fundamental to eukaryotic signal transduction, regulating most cellular processes. Kinases are frequently dysregulated in cancer, inflammation, and degenerative diseases, and because they can be inhibited with small molecules, they became important drug targets. Accordingly, analytical approaches that determine kinase activation states are critically important to understand kinase-dependent signal transduction and to identify novel drug targets and predictive biomarkers. Multiplexed inhibitor beads (MIBs or kinobeads) efficiently enrich kinases from cell lysates for liquid chromatography-mass spectrometry (LC-MS) analysis. When combined with phosphopeptide enrichment, kinobead/LC-MS can also quantify the phosphorylation state of kinases, which determines their activation state. However, an efficient kinobead/LC-MS kinase phospho-profiling protocol that allows routine analyses of cell lines and tissues has not yet been developed. Here, we present a facile workflow that quantifies the global phosphorylation state of kinases with unprecedented sensitivity. We also found that our kinobead/LC-MS protocol can measure changes in kinase complex composition and show how these changes can indicate kinase activity. We demonstrate the utility of our approach in specifying kinase signaling pathways that control the acute steroidogenic response in Leydig cells; this analysis establishes the first comprehensive framework for the post-translational control of steroid biosynthesis.

Indexed as

Signal TransductionTandem Mass SpectrometryChromatography, LiquidHumansMalePhosphorylationProtein KinasesProtein Kinaseschemoproteomicskinobeadsmass spectrometryprotein kinasesteroidogenesis

Identifiers

PMID32037842
PMCPMC7537592
OpenAlexW3005836930

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.