Literature DB >> 31851481

Cross-linking Mass Spectrometry Analysis of the Yeast Nucleus Reveals Extensive Protein-Protein Interactions Not Detected by Systematic Two-Hybrid or Affinity Purification-Mass Spectrometry.

Tara K Bartolec1, Daniela-Lee Smith1, Chi Nam Ignatius Pang1, You Dan Xu2, Joshua J Hamey1, Marc R Wilkins1.   

Abstract

Saccharomyces cerevisiae has the most comprehensively characterized protein-protein interaction network, or interactome, of any eukaryote. This has predominantly been generated through multiple, systematic studies of protein-protein interactions by two-hybrid techniques and of affinity-purified protein complexes. A pressing question is to understand how large-scale cross-linking mass spectrometry (XL-MS) can confirm and extend this interactome. Here, intact yeast nuclei were subject to cross-linking with disuccinimidyl sulfoxide (DSSO) and analyzed using hybrid MS2-MS3 methods. XlinkX identified a total of 2,052 unique residue pair cross-links at 1% FDR. Intraprotein cross-links were found to provide extensive structural constraint data, with almost all intralinks that mapped to known structures and slightly fewer of those mapping to homology models being within 30 Å. Intralinks provided structural information for a further 366 proteins. A method for optimizing interprotein cross-link score cut-offs was developed, through use of extensive known yeast interactions. Its application led to a high confidence, yeast nuclear interactome. Strikingly, almost half of the interactions were not previously detected by two-hybrid or AP-MS techniques. Multiple lines of evidence existed for many such interactions, whether through literature or ortholog interaction data, through multiple unique interlinks between proteins, and/or through replicates. We conclude that XL-MS is a powerful means to measure interactions, that complements two-hybrid and affinity-purification techniques.

Entities:  

Year:  2020        PMID: 31851481     DOI: 10.1021/acs.analchem.9b03975

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


  6 in total

Review 1.  Characterizing Endogenous Protein Complexes with Biological Mass Spectrometry.

Authors:  Rivkah Rogawski; Michal Sharon
Journal:  Chem Rev       Date:  2021-08-18       Impact factor: 72.087

2.  Leveraging the Entirety of the Protein Data Bank to Enable Improved Structure Prediction Based on Cross-Link Data.

Authors:  Andrew Keller; Juan D Chavez; Xiaoting Tang; James E Bruce
Journal:  J Proteome Res       Date:  2020-12-02       Impact factor: 4.466

Review 3.  In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.

Authors:  Juan D Chavez; Helisa H Wippel; Xiaoting Tang; Andrew Keller; James E Bruce
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 72.087

4.  Identifying and characterising Thrap3, Bclaf1 and Erh interactions using cross-linking mass spectrometry.

Authors:  Liudmila Shcherbakova; Mercedes Pardo; Theodoros Roumeliotis; Jyoti Choudhary
Journal:  Wellcome Open Res       Date:  2021-10-12

5.  Reliable identification of protein-protein interactions by crosslinking mass spectrometry.

Authors:  Swantje Lenz; Ludwig R Sinn; Francis J O'Reilly; Lutz Fischer; Fritz Wegner; Juri Rappsilber
Journal:  Nat Commun       Date:  2021-06-11       Impact factor: 14.919

Review 6.  Cleavable Cross-Linkers and Mass Spectrometry for the Ultimate Task of Profiling Protein-Protein Interaction Networks in Vivo.

Authors:  Manuel Matzinger; Karl Mechtler
Journal:  J Proteome Res       Date:  2020-11-05       Impact factor: 4.466

  6 in total

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