Combining Proximity Labeling and Cross-Linking Mass Spectrometry for Proteomic Dissection of Nuclear Envelope Interactome.

Autor: Liu CH; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan.; Taiwan International Graduate Program in Molecular Medicine, National Yang-Ming University and Academia Sinica, Taipei 11529, Taiwan., Chien MJ; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan., Chang YC; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan., Cheng YH; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan., Li FA; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan., Mou KY; Institute of Biomedical Sciences, Academia Sinica, Taipei 11529, Taiwan.
Jazyk: angličtina
Zdroj: Journal of proteome research [J Proteome Res] 2020 Mar 06; Vol. 19 (3), pp. 1109-1118. Date of Electronic Publication: 2020 Feb 07.
DOI: 10.1021/acs.jproteome.9b00609
Abstrakt: Proximity labeling (PL) and chemical cross-linking (XL) mass spectrometry are two powerful methods to dissect protein-protein interactions (PPIs) in cells. Although PL typically captures neighboring proteins within a range of 10-20 nm of a single bait protein, chemical XL defines direct protein-protein contacts within 1 nm in a systemic manner. Here, we develop a new method, named PL/XL-MS, to harness the advantages of both PL and XL. PL/XL-MS can enrich a subcellular compartment by PL and simultaneously identify PPIs of multiple proteins from XL data. We applied PL/XL-MS to dissect the human nuclear envelope interactome. PL/XL-MS successfully enriched the nuclear envelope proteins and identified most known inner nuclear membrane proteins. By searching the cross-linked peptides, we successfully observed 109 literature-curated PPIs of 14 nuclear envelope proteins. Based on the homoprotein XL data, we experimentally characterized a nuclear matrix protein, Matrin-3, and observed its preferential localization near the nuclear envelope. PL/XL-MS is a simple and general method for studying protein networks in a subproteome of interest.
Databáze: MEDLINE