Integration of conventional quantitative and phospho-proteomics reveals new elements in activated Jurkat T-cell receptor pathway maintenance

Florent Jouy, Stephan A. Müller, Juliane Wagner, Wolfgang Otto, Martin von Bergen, Janina M. Tomm*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

9 Citations (Scopus)

Abstract

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 TiO2-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.

Original languageEnglish
JournalProteomics
Volume15
Issue number1
Pages (from-to)25-33
Number of pages9
ISSN1615-9853
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Jurkat T-cell
  • Kinase substrate identification
  • Phosphoproteomics
  • Quantitative proteomics
  • Technology

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