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Method for DNA Ploidy Analysis Along with Immunophenotyping for Rare Populations in a Sample using FxCycle Violet
Prashant Tembhare1, Yajamanam Badrinath1, Sitaram Ghogale1
1Hematopathology Laboratory, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Current Protocols in Cytometry
|April 4, 2017
Summary
This study presents a simple method for DNA ploidy analysis and cell cycle assessment in rare cell populations using flow cytometry. The technique allows simultaneous immunophenotyping and DNA content analysis for improved disease risk stratification.
Area of Science:
- Clinical laboratory science
- Immunology
- Molecular biology
Background:
- Flow cytometric DNA ploidy assays are crucial for disease risk stratification, including monoclonal gammopathies and B cell acute lymphoblastic leukemia.
- Detecting rare cell populations, such as circulating tumor cells, necessitates sensitive analytical methods.
Purpose of the Study:
- To describe a protocol for simultaneous DNA ploidy determination and surface immunophenotyping in fixed samples.
- To provide an easy, one-step method for multicolor immunophenotyping and DNA content analysis using FxCycle Violet (FCV) dye.
Main Methods:
- The protocol involves a single-step modification of routine multicolor immunophenotyping: surface staining, fixation, and DNA staining with FCV.
- Mature lymphocytes serve as internal controls for DNA index determination.
- The method utilizes 6- to 8-color immunophenotyping and DNA content analysis.
Main Results:
- The assay is sensitive, enabling DNA ploidy and cell cycle analysis in rare tumor populations as low as 100 events.
- It allows for DNA ploidy determination in various hematopoietic cell subsets within the same sample, identified by their immunophenotype.
Conclusions:
- This protocol offers a sensitive and efficient approach for DNA ploidy and cell cycle analysis in rare cell populations.
- The method facilitates simultaneous immunophenotyping and DNA content analysis, aiding in disease diagnosis and risk stratification.