Literature DB >> 30242723

Dissecting Dynamic and Heterogeneous Proteasome Complexes Using In Vivo Cross-Linking-Assisted Affinity Purification and Mass Spectrometry.

Xiaorong Wang1, Lan Huang2.   

Abstract

Protein-protein interactions are essential for protein complex formation and function. Affinity purification coupled with mass spectrometry (AP-MS) is the method of choice for studying protein-protein interactions at the systems level under different physiological conditions. Although effective in capturing stable protein interactions, transient, weak, and/or dynamic interactors are often lost due to extended procedures during conventional AP-MS experiments. To circumvent this problem, we have recently developed XAP (in vivo cross-linking (X)-assisted affinity purification)-MS strategy to better preserve dynamic protein complexes under native lysis conditions. In addition, we have developed XBAP (in vivo cross-linking (X)-assisted bimolecular tandem affinity purification)-MS method by incorporating XAP with bimolecular affinity purification to define dynamic and heterogeneous protein subcomplexes. Here we describe general experimental protocols of XAP- and XBAP-MS to study dynamic protein complexes and their subcomplexes, respectively. Specifically, we present their applications in capturing and identifying proteasome dynamic interactors and ubiquitin receptor (UbR)-proteasome subcomplexes.

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Keywords:  AP-MS; Dynamic interactions; Proteasome complexes; Protein-protein interaction; Ubiquitin receptor-proteasome subcomplexes; XAP; XBAP

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Year:  2018        PMID: 30242723     DOI: 10.1007/978-1-4939-8706-1_25

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Probing H2O2-mediated Structural Dynamics of the Human 26S Proteasome Using Quantitative Cross-linking Mass Spectrometry (QXL-MS).

Authors:  Clinton Yu; Xiaorong Wang; Alexander Scott Huszagh; Rosa Viner; Eric Novitsky; Scott D Rychnovsky; Lan Huang
Journal:  Mol Cell Proteomics       Date:  2019-02-05       Impact factor: 5.911

  1 in total

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