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Updated: Jun 27, 2026

Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
Published on: June 26, 2018
Immunophenotyping with (phospho)protein profiling and fluorescent cell barcoding for single-cell signaling analysis
Johanne U Hermansen1,2, Yanping Yin1,2, Idun Dale Rein3
1Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
This study presents a new flow cytometry protocol for analyzing immune cells in blood cancers. The method enhances precision and efficiency for studying cell signaling and identifying potential therapeutic targets.
Area of Science:
- Immunology
- Oncology
- Biotechnology
Background:
- The tumor microenvironment in hematologic cancers impacts disease progression and treatment resistance.
- Understanding immune cell dynamics is crucial for developing effective cancer therapies.
- Peripheral blood is ideal for single-cell analysis due to its liquid nature.
Purpose of the Study:
- To develop an advanced flow cytometry protocol for single-cell analysis of hematologic cancers.
- To combine multi-parameter immunophenotyping with single-cell (phospho)protein profiling.
- To provide a method for studying immune cell composition and signaling in cancer.
Main Methods:
- Developed a flow cytometry protocol integrating immunophenotyping and (phospho)protein profiling.
- Utilized fluorescent cell barcoding to pool multiple samples for simultaneous analysis.
- Enabled high-throughput, cost-effective, and reduced-variability sample processing.
Main Results:
- Demonstrated the protocol's suitability for pre-clinical studies by correlating (phospho)protein profiles with drug sensitivity.
- Showcased the ability to analyze immunophenotype and cell signaling at single-cell resolution.
- Highlighted reduced experimental variability and increased throughput via sample multiplexing.
Conclusions:
- The protocol offers a robust method for dissecting immune cell function in hematologic malignancies.
- Findings can provide insights into cancer pathogenesis and identify novel drug targets.
- The approach has potential as a biomarker to guide clinical decisions in cancer treatment.
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