| Literature DB >> 31442056 |
Yue Chen1, Mei Leng2, Yankun Gao3, Dongdong Zhan4, Jong Min Choi5, Lei Song3, Kai Li3, Xia Xia3, Chunchao Zhang1, Mingwei Liu3, Shuhui Ji3, Antrix Jain5, Alexander B Saltzman1, Anna Malovannaya1,5,6,2, Jun Qin3,4,1,2, Sung Yun Jung1, Yi Wang3,1,2.
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.Entities:
Keywords: EGFR proteome; cross-linking-aided IP/MS; protein complex
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Year: 2019 PMID: 31442056 PMCID: PMC7532284 DOI: 10.1021/acs.jproteome.9b00427
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466