4.8 Article

Advanced In Vivo Cross-Linking Mass Spectrometry Platform to Characterize Proteome-Wide Protein Interactions

Journal

ANALYTICAL CHEMISTRY
Volume 93, Issue 9, Pages 4166-4174

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c04430

Keywords

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Funding

  1. Institut Pasteur
  2. CNRS
  3. Agence Nationale de la Recherche [CLICKMASSLINK-ANR 09-PIRI-0006, ANR-18-CE11-0022]
  4. EPIC-XS project - Horizon 2020 programme of the European Union [823839]
  5. Investissement d'Avenir Bioinformatique program (grant BIP:BIP) [ANR-10-BINF-03-13]
  6. Agence Nationale de la Recherche (ANR) [ANR-18-CE11-0022] Funding Source: Agence Nationale de la Recherche (ANR)

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The study developed an advanced in vivo cross-linking mass spectrometry platform for investigating cellular interactome of living bacterial cells. The approach successfully captured and characterized highly dynamic multiprotein complexes in all bacterial compartments, demonstrating the potential and precision of the proteome-wide approach.
Chemical cross-linking (XL) coupled to mass spectrometry (MS) has become a powerful approach to probe the structure of protein assemblies. Although most of the applications concerned purified complexes, latest developments focus on large-scale in vivo studies. Pushing in this direction, we developed an advanced in vivo cross-linking mass spectrometry platform to study the cellular interactome of living bacterial cells. It is based on in vivo labeling and involves a one-step enrichment by click chemistry on a solid support. Our approach shows an impressive efficiency on Neisseria meningitidis, leading to the identification of about 3300 cross-links for the LC-MS/MS analysis of a biological triplicate using a benchtop high-resolution Orbitrap mass spectrometer. Highly dynamic multiprotein complexes were successfully captured and characterized in all bacterial compartments, showing the great potential and precision of our proteome-wide approach. Our workflow paves new avenues for the large-scale and nonbiased analysis of protein-protein interactions. All raw data, databases, and processing parameters are available on ProteomeXchange via PRIDE repository (data set identifier PXD021553).

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