Evidence map›Paper›PMID 26631510›Full record

ArticleMolecular & cellular proteomics : MCP2016

Quantitative Profiling of Protein Tyrosine Kinases in Human Cancer Cell Lines by Multiplexed Parallel Reaction Monitoring Assays.

Hye-Jung Kim, De Lin, Hyoung-Joo Lee, Ming Li, Daniel C Liebler

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

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  9. An Introduction to Advanced Targeted Acquisition Methods.Molecular & cellular proteomics : MCP · 2021
    Review
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  19. Selected reaction monitoring approach for validating peptide biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Hye-Jung KimFrom the ‡Jim Ayers Institute for Precancer Detection and Diagnosis and Departments of §Biochemistry and.
De LinFrom the ‡Jim Ayers Institute for Precancer Detection and Diagnosis and Departments of §Biochemistry and.
Hyoung-Joo LeeFrom the ‡Jim Ayers Institute for Precancer Detection and Diagnosis and Departments of §Biochemistry and.
Ming Li¶Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232.
Daniel C LieblerFrom the ‡Jim Ayers Institute for Precancer Detection and Diagnosis and Departments of §Biochemistry and daniel.liebler@vanderbilt.edu.
Vanderbilt University · US

Funding

Vanderbilt Proteome Characterization CenterU24CA159988 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LIEBLER, DANIEL C · 2011 to 2016
$13.9M
NCI NIH HHS U24 CA159988NCI NIH HHS U24CA159988
6 · The paper itself

Abstract

Protein tyrosine kinases (PTKs) play key roles in cellular signal transduction, cell cycle regulation, cell division, and cell differentiation. Dysregulation of PTK-activated pathways, often by receptor overexpression, gene amplification, or genetic mutation, is a causal factor underlying numerous cancers. In this study, we have developed a parallel reaction monitoring-based assay for quantitative profiling of 83 PTKs. The assay detects 308 proteotypic peptides from 54 receptor tyrosine kinases and 29 nonreceptor tyrosine kinases in a single run. Quantitative comparisons were based on the labeled reference peptide method. We implemented the assay in four cell models: 1) a comparison of proliferating versus epidermal growth factor-stimulated A431 cells, 2) a comparison of SW480Null (mutant APC) and SW480APC (APC restored) colon tumor cell lines, and 3) a comparison of 10 colorectal cancer cell lines with different genomic abnormalities, and 4) lung cancer cell lines with either susceptibility (11-18) or acquired resistance (11-18R) to the epidermal growth factor receptor tyrosine kinase inhibitor erlotinib. We observed distinct PTK expression changes that were induced by stimuli, genomic features or drug resistance, which were consistent with previous reports. However, most of the measured expression differences were novel observations. For example, acquired resistance to erlotinib in the 11-18 cell model was associated not only with previously reported up-regulation of MET, but also with up-regulation of FLK2 and down-regulation of LYN and PTK7. Immunoblot analyses and shotgun proteomics data were highly consistent with parallel reaction monitoring data. Multiplexed parallel reaction monitoring assays provide a targeted, systems-level profiling approach to evaluate cancer-related proteotypes and adaptations. Data are available through Proteome eXchange Accession PXD002706.

Indexed as

Cell Line, TumorCell ProliferationDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansNeoplasm ProteinsNeoplasmsProtein-Tyrosine KinasesProteomeNeoplasm ProteinsProtein-Tyrosine KinasesProteome

Identifiers

PMID26631510
PMCPMC4739681
OpenAlexW2179694363

What OpenQuestion holds

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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.