Lowering Sample Requirements to Study Tyrosine Kinase Signaling Using Phosphoproteomics with the TMT Calibrator

Bin Fang1, Victoria Izumi1, Lily L Remsing Rix1

  • 1Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA.

Proteomics
|September 1, 2020
PubMed

Insights

This study introduces a tandem mass tag (TMT) calibrator method to significantly reduce sample input for phosphotyrosine (pY) profiling. This advancement enables deeper analysis of tyrosine kinase signaling in cancer research using smaller cell or tissue samples.

Area of Science:

  • Biochemistry
  • Proteomics
  • Cancer Therapy

Background:

  • Tyrosine kinase signaling is crucial for targeted cancer therapies.
  • Current phosphotyrosine (pY) profiling requires large sample amounts (10 mg protein) via immunoprecipitation and LC-MS/MS.
  • High sample input limits feasibility for certain research, including rare cell types or limited tissue.

Purpose of the Study:

  • To develop a more efficient method for phosphotyrosine (pY) profiling.
  • To reduce the protein input required for pY proteome analysis.
  • To enable pY profiling in samples with limited quantities.

Main Methods:

  • Utilized a tandem mass tag (TMT) calibrator approach for sample multiplexing.
  • Applied chemical labeling and a material-rich reference channel for quantification.
  • Reduced sample input by tenfold compared to traditional methods.

Main Results:

  • Achieved tenfold reduction in sample input for pY profiling (≈1 mg protein per sample).
  • Maintained the depth of pY proteome sampling and biological relevance.
  • Demonstrated feasibility for smaller sample sizes (10^7 cells).

Conclusions:

  • The TMT calibrator approach significantly lowers sample input requirements for pY profiling.
  • This method enhances opportunities for analyzing large cohorts and limited samples like immune cells and tumors.
  • Facilitates broader application of pY proteome analysis in cancer research and beyond.

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