An integrated workflow for phosphopeptide identification in natural killer cells (NK-92MI) and their targets

Daniel Perez-Hernandez1, Liza Filali2, Clement Thomas2

  • 1Department of Infection and Immunity, Luxembourg Institute of Health, Strassen, Luxembourg.

STAR Protocols
|February 28, 2023
PubMed

Insights

This study introduces a new method to track dynamic phosphopeptide changes during immune cell interactions. The protocol enables precise identification and quantification of phosphopeptides involved in immunological synapse formation.

Area of Science:

  • Immunology
  • Cell Biology
  • Proteomics

Background:

  • The immunological synapse is crucial for adaptive immune responses.
  • Understanding dynamic signaling events within the synapse is challenging.
  • Phosphorylation plays a key role in immune cell communication.

Purpose of the Study:

  • To develop a robust protocol for identifying and quantifying phosphopeptides during immunological synapse formation.
  • To enable detailed analysis of dynamic phosphorylation events in cell-cell interactions.

Main Methods:

  • Utilizing isotope-labeled immune and target cells for differential labeling.
  • Stabilizing cell conjugates via chemical cross-linking.
  • Isolating specific cell populations using fluorescence-activated cell sorting (FACS).
  • Enriching phosphopeptides using affinity-based methods.
  • Quantifying phosphopeptides via mass spectrometry (MS).
  • Analyzing data using label-based and label-free quantification strategies.

Main Results:

  • The protocol successfully identifies and quantifies phosphopeptides in a dynamic cellular context.
  • Distinguishes cell-specific phosphopeptide profiles within the synapse.
  • Provides a quantitative measure of phosphorylation changes during synapse formation.

Conclusions:

  • This protocol offers a powerful tool for dissecting signaling pathways in immune cell interactions.
  • It facilitates a deeper understanding of the molecular mechanisms governing the immunological synapse.
  • The method is adaptable for studying other dynamic cell-cell communication processes.