Literature DB >> 30280895

Integrated and Quantitative Proteomic Approach for Charting Temporal and Endogenous Protein Complexes.

Mi Ke, Jie Liu, Wendong Chen, Lan Chen, Weina Gao, Yunqiu Qin, An He, Bizhu Chu, Jun Tang1, Ruilian Xu1, Yi Deng2, Ruijun Tian2.   

Abstract

Proteins often assemble into multiprotein complexes for carrying out their biological functions. Affinity purification combined with mass spectrometry (AP-MS) is a method of choice for unbiasedly charting protein complexes. Typically, genetically tagged bait protein and associated proteins are immunoprecipitated from cell lysate and subjected to in-gel or on-bead digestion for MS analysis. However, the sample preparation procedures are often time-consuming and skipping reduction and alkylation steps results in incomplete digestion. Here, by seamlessly combining AP with the simple and integrated spintip-based proteomics technology (SISPROT), we developed an integrated AP-MS workflow for simultaneously processing more than 10 AP samples from cells cultured in six-well plates in 2 h. Moreover, we developed a quantitation-based data analysis workflow for differentiating potential interacting proteins from nonspecific interferences. The AP-SISPROT ensures high digestion efficiency especially for large transmembrane proteins such as EGFR and high quantification precision for profiling temporal interaction network of key EGFR signaling protein GRB2 across four time points of EGF treatment. More importantly, the integration feature allows minimum sample lose and helps the development of an ideal AP-MS workflow for studying endogenous protein complexes by the CRISPR Cas9 technology for the first time. By generating endogenously expressed bait protein fused with affinity tag, protein complexes associated with endogenous Integrin-linked kinase (ILK) was identified with much higher selectivity as compared with overexpressed and tagged ILK. The AP-SISPROT technology and its combination with CRISPR Cas9 technology should be generally applicable for studying protein complexes in a more efficient and physiologically relevant manner.

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Year:  2018        PMID: 30280895     DOI: 10.1021/acs.analchem.8b02667

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Proximity labeling to detect RNA-protein interactions in live cells.

Authors:  Mingxing Lu; Wencheng Wei
Journal:  FEBS Open Bio       Date:  2019-09-25       Impact factor: 2.693

2.  Spatiotemporal profiling of cytosolic signaling complexes in living cells by selective proximity proteomics.

Authors:  Mi Ke; Xiao Yuan; An He; Peiyuan Yu; Wendong Chen; Yu Shi; Tony Hunter; Peng Zou; Ruijun Tian
Journal:  Nat Commun       Date:  2021-01-04       Impact factor: 14.919

  2 in total

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