Nature CommunicationsSystems BiologyPeer-reviewed journal article
Cross-link assisted spatial proteomics to map sub-organelle proteomes and membrane protein topology
Ying ZhuiD, Kerem Can AkkayaiD, Julia RutaiD, Nanako YokoyamaiD, Cong WangiD, Max RuwoltiD, Diogo Borges LimaiD, Martin LehmanniD, Fan LiuiD
Abstract
The specific functions of cellular organelles and sub-compartments depend on their protein content, which can be characterized by spatial proteomics approaches. However, many spatial proteomics methods are limited in their ability to resolve organellar sub-compartments, profile multiple sub-compartments in parallel, and/or characterize membrane-associated proteomes. Here, we develop a cross-link assisted spatial proteomics (CLASP) strategy that addresses these shortcomings. Using human mitochondria as a model system, we show that CLASP can elucidate spatial proteomes of all mitochondrial sub-compartments and provide topological insight into the mitochondrial membrane proteome in a single experiment. Biochemical and imaging-based follow-up studies demonstrate that CLASP allows discovering mitochondria-associated proteins and revising previous protein sub-compartment localization and membrane topology data. This study extends the scope of cross-linking mass spectrometry beyond protein structure and interaction analysis towards spatial proteomics, establishes a method for concomitant profiling of sub-organelle and membrane proteomes, and provides a resource for mitochondrial spatial biology.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: protein structure prediction
- research focus: protein design
- approach: experimental assay
- Citations
- 62
- FWCI
- 7.22
- Field percentile
- top 1%
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