Evidence map›Paper›PMID 31442056›Full record

ArticleJournal of proteome research2019

A Cross-Linking-Aided Immunoprecipitation/Mass Spectrometry Workflow Reveals Extensive Intracellular Trafficking in Time-Resolved, Signal-Dependent Epidermal Growth Factor Receptor Proteome.

Yue Chen, Mei Leng, Yankun Gao, Dongdong Zhan, Jong Min Choi, Lei Song, Kai Li, Xia Xia, Chunchao Zhang, Mingwei Liu and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2019. 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
0.9field-weighted citation impact, top 31% 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, 22 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

17 authors at 3 institutions in 2 countries.

Yue ChenVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77003, United States
Mei LengDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77003, United States
Yankun GaoState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Dongdong ZhanThe Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences , East China Normal University , Shanghai 200241 , China.
Jong Min ChoiAdvanced Technology Core, Baylor College of Medicine, Houston, Texas77030, United States
Lei SongState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Kai LiState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Xia XiaState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Chunchao ZhangVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77003, United States
Mingwei LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Shuhui JiState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Antrix JainAdvanced Technology Core, Baylor College of Medicine, Houston, Texas77030, United States
Alexander B SaltzmanVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77003, United States
Anna MalovannayaVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77003, United States
Jun QinState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Sung Yun JungVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas 77003, United StatesORCID 0000-0003-1521-7977
Yi WangState Key Laboratory of Proteomics, Beijing Proteome Research Center , National Center for Protein Sciences (The PHOENIX Center, Beijing), Institute of Lifeomics , Beijing 102206 , China.
Baylor College of Medicine · USBeijing Proteome Research Center · CNEast China Normal University · CN

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

Ligand binding to the cell surface receptors initiates signaling cascades that are commonly transduced through a protein-protein interaction (PPI) network to activate a plethora of response pathways. However, tools to capture the membrane PPI network are lacking. Here, we describe a cross-linking-aided mass spectrometry workflow for isolation and identification of signal-dependent epidermal growth factor receptor (EGFR) proteome. We performed protein cross-linking in cell culture at various time points following EGF treatment, followed by immunoprecipitation of endogenous EGFR and analysis of the associated proteins by quantitative mass spectrometry. We identified 140 proteins with high confidence during a 2 h time course by data-dependent acquisition and further validated the results by parallel reaction monitoring. A large proportion of proteins in the EGFR proteome function in endocytosis and intracellular protein transport. The EGFR proteome was highly dynamic with distinct temporal behavior; 10 proteins that appeared in all time points constitute the core proteome. Functional characterization showed that loss of the FYVE domain-containing proteins altered the EGFR intracellular distribution but had a minor effect on EGFR proteome or signaling. Thus, our results suggest that the EGFR proteome include functional regulators that influence EGFR signaling and bystanders that are captured as the components of endocytic vesicles. The high-resolution spatiotemporal information of these molecules facilitates the delineation of many pathways that could determine the strength and duration of the signaling, as well as the location and destination of the receptor.

Indexed as

Signal TransductionCell LineEpidermal Growth FactorErbB ReceptorsHumansImmunoprecipitationMass SpectrometryProtein Interaction MappingProtein TransportProteomeTime FactorsWorkflowEGFR protein, humanEpidermal Growth FactorErbB ReceptorsProteomecross-linking-aided IP/MSEGFR proteomeprotein complex

Identifiers

PMID31442056
PMCPMC7532284
OpenAlexW2969358228

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.