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The Use of Flow Cytometry to Assess the State of Chromatin in T Cells
Published on: December 17, 2015
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Profiling T cell activation using single-molecule fluorescence in situ hybridization and flow cytometry
Yuri Bushkin1, Felix Radford1, Richard Pine1
1Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, NJ 07103; and.
Journal of Immunology (Baltimore, Md. : 1950)
|December 16, 2014
Summary
Detecting RNA in T cells offers a more sensitive method for identifying infections and understanding immune memory. This RNA-based flow cytometry approach reveals kinetic differences in cytokine expression, improving T cell subset analysis.
Area of Science:
- Immunology
- Molecular Biology
- Biotechnology
Background:
- T cell characterization commonly uses protein detection via flow cytometry.
- Protein analysis can be limited by background noise and kinetic expression differences.
Purpose of the Study:
- To develop and validate a novel host immunity-based platform for infection detection using RNA analysis.
- To leverage RNA detection for enhanced sensitivity and kinetic insights in T cell characterization.
Main Methods:
- Developed a platform for detecting cytokine messenger RNAs (mRNAs) in T cells.
- Utilized single-molecule fluorescence in situ hybridization (smFISH) combined with flow cytometry.
- Stimulated T cells ex vivo with pathogen-specific antigens (Ags).
Main Results:
- RNA detection demonstrated lower background compared to protein detection, enabling higher sensitivity for low-frequency cells.
- mRNA analysis revealed kinetic differences in cytokine expression, offering novel insights into T cell subset programming.
- Successfully detected T cells recognizing mycobacterial and viral Ags in exposed donors, showcasing utility for assessing immunological memory.
Conclusions:
- RNA-based flow cytometry provides a sensitive and informative method for characterizing T cells and detecting infections.
- This approach enhances the study of immune responses and immunological memory.
- The platform offers new avenues for understanding T cell subsets and host immunity.

