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Phospho Flow Cytometry with Fluorescent Cell Barcoding for Single Cell Signaling Analysis and Biomarker Discovery
08:38

Phospho Flow Cytometry with Fluorescent Cell Barcoding for Single Cell Signaling Analysis and Biomarker Discovery

Published on: October 4, 2018

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Phospho Flow Cytometry with Fluorescent Cell Barcoding for Single Cell Signaling Analysis and Biomarker Discovery

Sigrid S Skånland1

  • 1Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo; K. G. Jebsen Centre for B cell malignancies and K. G. Jebsen Centre for Cancer Immunotherapy, University of Oslo; sigrid.skanland@ncmm.uio.no.

Journal of Visualized Experiments : Jove
|October 23, 2018
PubMed

Insights

Phospho flow cytometry analyzes protein activity for cancer biomarkers. This technique aids in understanding drug resistance and personalizing cancer treatments.

Area of Science:

  • Oncology
  • Immunology
  • Biochemistry

Background:

  • Aberrant cell signaling is crucial in cancer development.
  • Targeted cancer therapies focus on protein functions.
  • Cellular protein activity changes can predict drug sensitivity and resistance.

Purpose of the Study:

  • To present phospho flow cytometry as a method for analyzing cell signaling.
  • To highlight its utility in biomarker discovery and pharmacodynamics.
  • To provide a protocol for phospho flow analysis of peripheral blood mononuclear cells, using chronic lymphocytic leukemia as an example.

Main Methods:

  • Phospho flow cytometry measures protein phosphorylation at the single-cell level.
  • Allows simultaneous analysis of multiple signaling proteins.
  • Fluorescent cell barcoding enables high-throughput data acquisition.

Main Results:

  • Demonstrates phospho flow cytometry's capability for detailed signaling pathway analysis.
  • Shows its applicability in clinical research for biomarker identification.
  • Provides a practical protocol for analyzing chronic lymphocytic leukemia cells.

Conclusions:

  • Phospho flow cytometry is a powerful tool for studying cell signaling in cancer.
  • It offers advantages over DNA/RNA analysis for evaluating drug response mechanisms.
  • The described protocol facilitates its use in basic and clinical research settings.

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