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Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
Published on: February 8, 2018
Protocol to study immunodynamics in the tumor microenvironment using a tyramide signal amplification-based
Jane Siu-Fan Li1, Philip Chiu-Tsun Tang1, Chun Kit K Choi2
1Department of Anatomical and Cellular Pathology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Shatin, Hong Kong.
This study introduces a multiplex immunofluorescence protocol to precisely quantify multiple protein targets within a single tissue specimen at the single-cell level, aiding tumor microenvironment immunodynamics research.
Area of Science:
- Immunology
- Biotechnology
- Cancer Research
Background:
- Understanding tumor microenvironment immunodynamics is crucial for cancer research.
- Existing methods may not offer single-cell resolution for multiple protein targets simultaneously.
- Precise quantification of immune cells and protein expression is needed.
Purpose of the Study:
- To present a detailed protocol for multiplex immunofluorescence (mIF) staining.
- To enable the capture of multiple target protein expression levels in the same specimen.
- To achieve single-cell resolution for quantitative analysis of immune cells in tumor tissues.
Main Methods:
- Development of a tyramide signal amplification-based immunofluorescent multiplexing system.
- Detailed protocol for tumor tissue microarray preparation.
- Standardized procedures for multiplex immunohistochemistry staining, image acquisition, and quantification.
Main Results:
- The protocol allows for the simultaneous detection of multiple protein targets.
- Single-cell resolution is achieved for protein expression analysis.
- Quantification of immune cells within patient or experimental disease model tissues is enabled.
Conclusions:
- The presented protocol offers a robust method for analyzing tumor immunodynamics.
- This approach facilitates precise, high-resolution quantification of immune cell populations.
- The protocol is applicable to both clinical patient samples and experimental models.
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