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Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.

Qin-Qin Xu1, Yi-Rong Jiang1, Jian-Bo Chen1

  • 1Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 22, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel microfluidic platform for single-cell proteomics, enabling detailed analysis of immune-cancer cell interactions. The platform identifies functional NK cell sub-clusters and potential biomarkers for cancer immunotherapy efficacy.

Keywords:
immune‐cancer cell interactionmass spectrometrymicrofluidic analysissingle cell‐pair proteomics

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Area of Science:

  • Proteomics
  • Cancer Research
  • Microfluidics
  • Immunology

Background:

  • Cancer immunotherapy effectiveness is limited by tumor and immune response heterogeneity.
  • Understanding single immune-cancer cell interactions is crucial for advancing cancer treatments.

Purpose of the Study:

  • To develop and validate a microfluidic platform for single-cell proteomics profiling of immune-cancer cell interactions.
  • To investigate the functional heterogeneity of natural killer (NK) cells interacting with K562 tumor cells.

Main Methods:

  • A microfluidic platform was engineered for precise single-cell pairing, co-culture, and retrieval.
  • Stable-isotope labeling and mass spectrometry were employed for proteomic analysis of individual cell pairs.
  • Real-time microscopy monitored cell-pair interactions.

Main Results:

  • Achieved a 95% success rate in single-cell pairing with minimal cell damage.
  • Identified over 1000 protein groups per single cell pair.
  • Discovered distinct functional sub-clusters within NK cells and identified potential biomarkers.

Conclusions:

  • The developed platform offers a powerful tool for comprehensive immune-cancer cell interaction profiling.
  • This approach facilitates the discovery of heterogeneous immune responses and prediction of biomarkers for cancer immunotherapy.