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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Quantitative Proteomics of Secreted Proteins
Annika Frauenstein1,2, Felix Meissner3
1Experimental Systems Immunology Laboratory, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, D-82152, Martinsried, Germany.
Secreted proteins such as cytokines, interleukins, growth factors, and hormones have pleiotropic functions and facilitate intercellular communication in organisms. Quantification of these proteins conventionally relies on antibody-based methods, i.e., enzyme-linked immunosorbent assays (ELISA), whose large-scale use is limited by availability, specificity, and affordability.Here, we describe an experimental and bioinformatics workflow to comprehensively quantify cellular protein secretion by mass spectrometry. Secreted proteins are collected in vitro or ex vivo, digested with proteases and the resulting peptide mixtures are analyzed in single liquid chromatography-mass spectrometry (LC-MS/MS) runs. Label-free quantification and bioinformatics analysis is conducted in the MaxQuant and Perseus computational environment. Our workflow allows the quantification of thousands of secreted proteins spanning a concentration range of four orders of magnitude and permits the systems-level characterization of secretory programs as well as the discovery of proteins with unexpected extracellular functions.
Secreted proteins such as cytokines, interleukins, growth factors, and hormones have pleiotropic functions and facilitate intercellular communication in organisms. Quantification of these proteins conventionally relies on antibody-based methods, i.e., enzyme-linked immunosorbent assays (ELISA), whose large-scale use is limited by availability, specificity, and affordability.Here, we describe an experimental and bioinformatics workflow to comprehensively quantify cellular protein secretion by mass spectrometry. Secreted proteins are collected in vitro or ex vivo, digested with proteases and the resulting peptide mixtures are analyzed in single liquid chromatography-mass spectrometry (LC-MS/MS) runs. Label-free quantification and bioinformatics analysis is conducted in the MaxQuant and Perseus computational environment. Our workflow allows the quantification of thousands of secreted proteins spanning a concentration range of four orders of magnitude and permits the systems-level characterization of secretory programs as well as the discovery of proteins with unexpected extracellular functions.
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