Deep phosphotyrosine characterisation of primary murine T cells using broad spectrum optimisation of selective

Aurora Callahan1, Xien Yu Chua1, Alijah A Griffith1

  • 1Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island, USA.

Proteomics
|August 2, 2024
PubMed

Insights

The BOOST method significantly enhances phosphotyrosine site identification in low-input samples, revealing new T cell signaling insights. This technique improves quantitative precision for tyrosine phosphoproteome sequencing.

Area of Science:

  • Proteomics
  • Cellular Signaling
  • Immunology

Background:

  • Tyrosine phosphorylation sequencing is difficult due to low abundance, especially in scarce samples.
  • The BOOST method was developed to improve phosphotyrosine sequencing in low-input samples.

Purpose of the Study:

  • To demonstrate the viability of the BOOST method in T cell receptor (TCR)-stimulated primary murine T cells.
  • To benchmark the accuracy and precision of BOOST and identify TCR-responsive phosphoproteome alterations.

Main Methods:

  • Utilized the broad-spectrum optimisation of selective triggering (BOOST) method.
  • Employed tandem mass tags (TMT), phosphotyrosine enrichment, and a carrier channel.
  • Analyzed 1 mg of protein input from primary murine T cells.

Main Results:

  • BOOST identified over 2000 unique pY sites, a significant increase from ~300 in non-BOOST samples.
  • BOOST maintained quantitative precision and statistical significance despite increased replicate variation.
  • Identified novel TCR-responsive pY sites and previously uncharacterized sites on T cell signaling proteins.

Conclusions:

  • BOOST is effective for deep phosphotyrosine profiling in low-input T cell samples.
  • The phase-spectrum deconvolution method on Orbitrap instruments may hinder BOOST quantitation.
  • BOOST enables discovery of new signaling pathways in T cell activation.