Evidence map›Paper›PMID 24648882›Full record

ArticleMedChemComm2014

Rapid profiling of protein kinase inhibitors by quantitative proteomics.

Martin Golkowski, Jennifer L Brigham, Gayani K Perera, Guillermo E Romano, Dustin J Maly, Shao-En Ong

Abstract read
In one paragraph

Article in MedChemComm, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Proteomic approaches for interrogating kinase signaling networks.The Journal of investigative dermatology · 2026
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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

6 authors at 2 institutions in 1 country.

Martin GolkowskiDepartment of Pharmacology, University of Washington, Seattle, Washington, USA.
Jennifer L BrighamDivision of Chemistry, University of Washington, Seattle, Washington, USA.
Gayani K PereraDivision of Chemistry, University of Washington, Seattle, Washington, USA.
Guillermo E RomanoDivision of Chemistry, University of Washington, Seattle, Washington, USA.
Dustin J MalyDivision of Chemistry, University of Washington, Seattle, Washington, USA.
Shao-En OngDepartment of Pharmacology, University of Washington, Seattle, Washington, USA.
Seattle University · USUniversity of Washington · US

Funding

New Molecular Probes For Protein KinasesR01GM086858 · NIGMS · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J · 2008 to 2025
$5.5M
Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based ProteomicsR01AR065459 · NIAMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2013 to 2017
$1.6M
New Faculty Search for Functional Proteomic Approaches to Drug AbuseP30DA028846 · NIDA · UNIVERSITY OF WASHINGTON · PI CHAVKIN, CHARLES · 2009 to 2010
$1.4M
Kinase Profiling with Quantititative ChemoproteomicsR21CA177402 · NCI · UNIVERSITY OF WASHINGTON · PI MALY, DUSTIN J, ONG, SHAO-EN · 2013 to 2015
$665k
NCI NIH HHS R21 CA177402NIAMS NIH HHS R01 AR065459NIDA NIH HHS P30 DA028846NIGMS NIH HHS R01 GM086858
6 · The paper itself

Abstract

The ability to determine structure-activity relationships (SAR) and identify cellular targets from cell lysates and tissues is of great utility for kinase inhibitor drug discovery. We describe a streamlined mass spectrometry-based chemoproteomics workflow to examine the SAR and target profiles of a small library of kinase inhibitors that consists of the drug dasatinib and a panel of general type II inhibitors. By combining a simplified affinity enrichment and on-bead protein digestion workflow with quantitative proteomics, we achieved sensitive and specific enrichment of target kinases using our small molecule probes. We applied the affinity matrices in competition experiments with soluble probes in HeLa cell lysates using less than 1 mg of protein per experiment. Each pull-down experiment was analyzed in a single nano LC-MS run. Stringent selection criteria for target identification were applied to deduce 28 protein targets for dasatinib and 31 protein targets for our general type II kinase inhibitor in HeLa cell lysate. Additional kinase and protein targets were identified with the general type II inhibitor analogs, with small structural changes leading to divergent target profiles. We observed surprisingly high sequence coverage on some proteins, enabling further analyses of phosphorylation sites for several target kinases without additional sample processing. Our rapid workflow profiled cellular targets for six small molecules within a week, demonstrating that an unbiased proteomics screen of cellular targets yields valuable SAR information and may be incorporated at an early stage in kinase inhibitor development.

Identifiers

PMID24648882
PMCPMC3955727
OpenAlexW2000452813

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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.