Proteomics

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Mining the secretome of C2C12 muscle cells


ABSTRACT: Secretome analysis faces several challenges, including detection of low abundant proteins and the discrimination of bona fide secreted proteins from false-positive identifications stemming from cell leakage or serum. Here, we developed a two-step secretomics approach and applied it for the analysis of secreted proteins of C2C12 skeletal muscle cells as the skeletal muscle has been identified as an important endocrine organ secreting myokines as active signaling molecules. First, we compared culture supernatants and corresponding cell lysates by high-resolution MS-based proteomics and label-free quantification. We found 672 protein groups as candidate secreted proteins, as they showed a higher abundance in the secretome. By Brefeldin A mediated blocking of classical secretory processes, we estimate a sensitivity of > 80% for the detection of classical secreted proteins by our experimental approach. In the second step, peptide level information was integrated with UniProt based protein information by the bioinformatics tool “lysate and secretome peptide feature plotter” (LSPFP) to detect proteolytic protein processing events which might occur during secretion e.g. As a proof on concept, we identified truncations of the cytoplasmic part of the protein Plexin-B2. Our workflow provides an efficient combination of experimental workflow and data analysis to identify putative secreted and proteolytic processed proteins.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Permanent Cell Line Cell, Cell Culture, Muscle Cell

SUBMITTER: Gereon Poschmann  

LAB HEAD: Gereon Poschmann

PROVIDER: PXD007527 | Pride | 2018-01-24

REPOSITORIES: Pride

Dataset's files

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Action DRS
BrefeldinAtxt.zip Other
QX00477.raw Raw
QX00478.raw Raw
QX00479.raw Raw
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Publications

Mining the Secretome of C2C12 Muscle Cells: Data Dependent Experimental Approach To Analyze Protein Secretion Using Label-Free Quantification and Peptide Based Analysis.

Grube Leonie L   Dellen Rafael R   Kruse Fabian F   Schwender Holger H   Stühler Kai K   Poschmann Gereon G  

Journal of proteome research 20180124 2


Secretome analysis faces several challenges including detection of low abundant proteins and the discrimination of bona fide secreted proteins from false-positive identifications stemming from cell leakage or serum. Here, we developed a two-step secretomics approach and applied it to the analysis of secreted proteins of C2C12 skeletal muscle cells since the skeletal muscle has been identified as an important endocrine organ secreting myokines as signaling molecules. First, we compared culture su  ...[more]

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