Trans-SILAC: Sorting out the non-cell-autonomous proteome

Oded Rechavi, Matan Kalman, Yuan Fang, Helly Vernitsky, Jasmine Jacob-Hirsch, Leonard J. Foster, Yoel Kloog, Itamar Goldstein

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Non-cell-autonomous proteins are incorporated into cells that form tight contacts or are invaded by bacteria, but identifying the full repertoire of transferred proteins has been a challenge. Here we introduce a quantitative proteomics approach to sort out non-cell-autonomous proteins synthesized by other cells or intracellular pathogens. Our approach combines stable-isotope labeling of amino acids in cell culture (SILAC), high-purity cell sorting and bioinformatics analysis to identify the repertoire of relevant non-cell-autonomous proteins. This 'trans-SILAC' method allowed us to discover many proteins transferred from human B to natural killer cells and to measure biosynthesis rates of Salmonella enterica proteins in infected human cells. Trans-SILAC should be a useful method to examine protein exchange between different cells of multicellular organisms or pathogen and host.

Original languageEnglish
Pages (from-to)923-927
Number of pages5
JournalNature Methods
Volume7
Issue number11
DOIs
StatePublished - Nov 2010
Externally publishedYes

Bibliographical note

Funding Information:
O.R. was supported by a scholarship from the Clore Israel Foundation. M.K. was supported by the Edmond J. Safra Program in Bioinformatics at Tel Aviv University. Operating funds for this work came, in part, from the Prajs-Drimmer Institute for the Development of Anti-degenerative Disease Drugs to Y.K., from the Israel Cancer Association to I.G. and Y.K. and from a Canadian Institutes of Health Research Operating grant (MOP-77688) to L.J.F. Mass spectrometry infrastructure used in this project was supported by the Canadian Foundation for Innovation, the British Columbia Knowledge Development Fund and the British Columbia Proteomics Network. Y.F. is supported by a studentship from the Genome Sciences and Technologies graduate program. Expression vectors encoding for EGFP-tagged RALA and RALB proteins were a gift from A. Cox (The University of North Carolina at Chapel Hill) and vectors for Arf4, Rab10 and Rab11a were a gift from D. Cassel (Technion, Israel Institute of Technology).

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