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Integration of conventional quantitative and phospho‐proteomics reveals new elements in activated Jurkat T‐cell receptor pathway maintenance
Author(s) -
Jouy Florent,
Müller Stephan A.,
Wagner Juliane,
Otto Wolfgang,
Bergen Martin,
Tomm Janina M.
Publication year - 2015
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201400119
Subject(s) - jurkat cells , phosphoproteomics , t cell receptor , proteomics , kinase , phosphopeptide , biology , microbiology and biotechnology , quantitative proteomics , t cell , computational biology , biochemistry , protein kinase a , protein phosphorylation , immune system , immunology , gene
Recent years have seen a constant development of tools for the global assessment of phosphoproteins. Here, we outline a concept for integrating approaches for quantitative proteomics and phosphoproteomics. The strategy was applied to the analysis of changes in signalling and protein synthesis occurring after activation of the T‐cell receptor (TCR) pathway in a T‐cell line (Jurkat cells). For this purpose, peptides were obtained from four biological replicates of activated and control Jurkat T‐cells and phosphopeptides enriched via a TiO 2 ‐based chromatographic step. Both phosphopeptide‐enriched and flow‐through fractions were analyzed by LC–MS. We observed 1314 phosphopeptides in the enriched fraction whereas 19 were detected in the flow‐through, enabling the quantification of 414 and eight phosphoproteins in the respective fractions. Pathway analysis revealed the differential regulation of many metabolic pathways. Among the quantified proteins, 11 kinases with known TCR‐related function were detected. A kinase‐substrate database search for the phosphosites identified also confirmed the activity of a further ten kinases. In total, these two approaches provided evidence of 19 unique TCR‐related kinases. The combination of phosphoproteomics and conventional quantitative shotgun analysis leads to a more comprehensive assessment of the signalling networks needed for the maintenance of the activated status of Jurkat T‐cells.