Evidence map›Paper›PMID 28248267›Full record

ArticleProteomes2015

Complementary PTM Profiling of Drug Response in Human Gastric Carcinoma by Immunoaffinity and IMAC Methods with Total Proteome Analysis.

Matthew P Stokes, Charles L Farnsworth, Hongbo Gu, Xiaoying Jia, Camilla R Worsfold, Vicky Yang, Jian Min Ren, Kimberly A Lee, Jeffrey C Silva

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  5. The WWP1-JARID1B axis sustains acute myeloid leukemia chemoresistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  9. MEK1-ERK1/2 signaling regulates the cardiomyocyte non-sarcomeric actin cytoskeletal network.American journal of physiology. Heart and circulatory physiology · 2024
    Article
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  15. Article
  16. CD200 Immune-Checkpoint Peptide Elicits an Anti-glioma Response Through the DAP10 Signaling Pathway.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    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 2 institutions in 1 country.

Matthew P StokesCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. mstokes@cellsignal.com.
Charles L FarnsworthCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. cfarnsworth@cellsignal.com.
Hongbo GuCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. hongbo.gu@cellsignal.com.
Xiaoying JiaCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. xjia@cellsignal.com.
Camilla R WorsfoldDepartment of Biology, Emory University, Atlanta, GA 30322, USA. camilla.worsfold@emory.edu.
Vicky YangCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. vyang@cellsignal.com.
Jian Min RenCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. jmren@cellsignal.com.
Kimberly A LeeCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. klee@cellsignal.com.
Jeffrey C SilvaCell Signaling Technology, 3 Trask Lane, Danvers, MA 01923, USA. jsilva@cellsignal.com.
Cell Signaling Technology (United States) · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gaining insight into normal cellular signaling and disease biology is a critical goal of proteomic analyses. The ability to perform these studies successfully to extract the maximum value and discovery of biologically relevant candidate biomarkers is therefore of primary importance. Many successful studies in the past have focused on total proteome analysis (changes at the protein level) combined with phosphorylation analysis by metal affinity enrichment (changes at the PTM level). Here, we use the gastric carcinoma cell line MKN-45 treated with the c-Met inhibitor SU11274 and PKC inhibitor staurosporine to investigate the most efficient and most comprehensive strategies for both total protein and PTM analysis. Under the conditions used, total protein analysis yielded few changes in response to either compound, while analysis of phosphorylation identified thousands of sites that changed differentially between the two treatments. Both metal affinity and antibody-based enrichments were used to assess phosphopeptide changes, and the data generated by the two methods was largely complementary (non-overlapping). Label-free quantitation of peptide peak abundances was used to accurately determine fold-changes between control and treated samples. Protein interaction network analysis allowed the data to be placed in a biologically relevant context, and follow-up validation of selected findings confirmed the accuracy of the proteomic data. Together, this study provides a framework for start-to-finish proteomic analysis of any experimental system under investigation to maximize the value of the proteomic study and yield the best chance for uncovering actionable target candidates.

Indexed as

antibodiesgastric carcinomaLC-MS/MSphosphorylation

Identifiers

PMID28248267
PMCPMC5217380
OpenAlexW1679182555

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.