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Cross-link assisted spatial proteomics to map sub-organelle proteomes and membrane protein topologies

Author

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  • Ying Zhu

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Kerem Can Akkaya

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP)
    Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Julia Ruta

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Nanako Yokoyama

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Cong Wang

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Max Ruwolt

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Diogo Borges Lima

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Martin Lehmann

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP))

  • Fan Liu

    (Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP)
    Charité – Universitätsmedizin Berlin)

Abstract

The 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. Biochemical and imaging-based follow-up studies confirm that CLASP allows discovering mitochondria-associated proteins and revising previous protein sub-compartment localization and membrane topology data. We also validate the CLASP concept in synaptic vesicles, demonstrating its applicability to different sub-cellular compartments. This study extends the scope of cross-linking mass spectrometry beyond protein structure and interaction analysis towards spatial proteomics, and establishes a method for concomitant profiling of sub-organelle and membrane proteomes.

Suggested Citation

  • Ying Zhu & Kerem Can Akkaya & Julia Ruta & Nanako Yokoyama & Cong Wang & Max Ruwolt & Diogo Borges Lima & Martin Lehmann & Fan Liu, 2024. "Cross-link assisted spatial proteomics to map sub-organelle proteomes and membrane protein topologies," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47569-x
    DOI: 10.1038/s41467-024-47569-x
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