You are here

Mol Cell Proteomics DOI:10.1074/mcp.RA118.001259

Streamlined protocol for deep proteomic profiling of FAC-sorted cells and its application to freshly isolated murine immune cells.

Publication TypeJournal Article
Year of Publication2019
AuthorsMyers, SA, Rhoads, A, Cocco, AR, Peckner, R, Haber, A, Schweitzer, LD, Krug, K, Mani, DR, Clauser, KR, Rozenblatt-Rosen, O, Hacohen, N, Regev, A, Carr, SA
JournalMol Cell Proteomics
Date Published2019 Feb 21
ISSN1535-9484
Abstract

Proteomic profiling describes the molecular landscape of proteins in cells immediately available to sense, transduce, and enact the appropriate responses to extracellular queues. Transcriptional profiling has proven invaluable to our understanding of cellular responses, however, insights may be lost as mounting evidence suggests transcript levels only moderately correlate with protein levels in steady state cells. Mass spectrometry-based quantitative proteomics is a well-suited and widely used analytical tool for studying global protein abundances. Typical proteomic workflows are often limited by the amount of sample input that is required for deep and quantitative proteome profiling. This is especially true if the cells of interest need to be purified by fluorescence-activated cell sorting (FACS) and one wants to avoid ex vivo culturing. To address this need, we developed an easy to implement, streamlined workflow that enables quantitative proteome profiling from roughly two micrograms of protein input per experimental condition. Utilizing a combination of facile cell collection from cell sorting, solid-state isobaric labeling and multiplexing of peptides, and small-scale fractionation, we profiled the proteomes of 12 freshly isolated, primary murine immune cell types. Analyzing half of the 3e5 cells collected per cell type, we quantified over 7,000 proteins across 12 key immune cell populations directly from their resident tissues. We show that low input proteomics is precise, and the data generated accurately reflects many aspects of known immunology, while expanding the list of cell-type specific proteins across the cell types profiled. The low input proteomics methods we developed are readily adaptable and broadly applicable to any cell or sample types and should enable proteome profiling in systems previously unattainable.

DOI10.1074/mcp.RA118.001259
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/30792265?dopt=Abstract

Alternate JournalMol. Cell Proteomics
PubMed ID30792265
Grant ListRM1 HG006193 / HG / NHGRI NIH HHS / United States