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Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
Published on: March 25, 2020
Protocol for studying the immune microenvironment of human hepatocellular carcinoma by Cell DIVE multiplex
Margaux Delaporte1, Maelle Guillout2, Pascale Bellaud2
1University Rennes, INSERM, EHESP, Irset - UMR_S 1085, 9 2 Avenue du Professeur Léon Bernard, 35000 Rennes, France.
Insights
This study introduces a multiplex immunofluorescence (mIF) protocol for analyzing tumor heterogeneity in hepatocellular carcinoma. This method allows detailed immunophenotyping of cells within a single tissue section for better cancer insights.
Area of Science:
- Oncology
- Biotechnology
- Immunology
Background:
- Tumor heterogeneity is crucial for understanding cancer biology and improving treatments.
- Analyzing cellular organization within tissues provides insights into cancer progression.
Purpose of the Study:
- To present a protocol for multiplex immunofluorescence (mIF) for analyzing hepatocellular carcinoma.
- To enable detailed immunophenotyping of cells on a single human tumor section.
Main Methods:
- Multiplex immunofluorescence (mIF) technique.
- Antibody labeling and mIF image acquisition using Cell DIVE.
- Preliminary data analysis using QuPath software.
Main Results:
- Demonstrated a protocol for mIF in human hepatocellular carcinoma.
- Enabled detection of multiple protein markers on a single tissue section.
- Facilitated immunophenotyping for studying tumor heterogeneity.
Conclusions:
- The mIF protocol is effective for detailed analysis of hepatocellular carcinoma.
- This technique aids in understanding tumor heterogeneity and cellular organization.
- The protocol supports improved therapeutic strategies through enhanced cancer insights.
Abstract:
Understanding tumor heterogeneity by examining how cells are organized in tissues is essential to better decipher the biological processes involved in cancer and to improve therapeutic management. Here, we present a protocol for a multiplex immunofluorescence (mIF) technique that enables the detection of an array of protein markers and allows immunophenotyping on a single section of human hepatocellular carcinoma. We describe the procedures for antibody labeling, mIF image acquisition using Cell DIVE, and preliminary analysis using QuPath software.
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