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CombiFlow: Flow cytometry-based identification and characterization of genetically and functionally distinct AML
Roos Houtsma1, Shanna M Hogeling1, Jan Jacob Schuringa1
1Department of Hematology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ Groningen, the Netherlands.
Researchers developed CombiFlow, a novel method using combinatorial flow cytometry to identify and isolate distinct cancer clones. This technique aids in understanding cancer evolution and identifying relapse-causing cells during minimal residual disease (MRD).
Area of Science:
- Immunology
- Cancer Biology
- Molecular Biology
Background:
- Cancers, including leukemias, are often dynamic oligoclonal diseases characterized by multiple genetically distinct cell populations.
- Identifying and isolating these specific clones is crucial for understanding disease progression and developing targeted therapies.
- Current methods may lack the precision needed for prospective isolation of distinct clones for functional analysis.
Purpose of the Study:
- To introduce and describe the CombiFlow protocol, a combinatorial flow cytometry-based approach.
- To demonstrate the utility of CombiFlow in identifying and isolating genetically distinct cancer clones.
- To enable functional studies on live sorted cell populations and visualize clonal evolution.
Main Methods:
- The study details the CombiFlow protocol, a combinatorial flow cytometry technique.
- This method allows for the identification and prospective isolation of distinct cellular clones.
- The protocol is adaptable for various research applications and functional analyses.
Main Results:
- CombiFlow successfully enables the identification and isolation of distinct cancer clones.
- The protocol facilitates the visualization of clonal evolution throughout disease progression.
- CombiFlow can identify potential relapse-inducing cells at minimal residual disease (MRD) time points.
Conclusions:
- CombiFlow is an effective tool for studying oligoclonal cancers, offering precise identification and isolation of distinct clones.
- The protocol supports the visualization of cancer clonal dynamics and aids in identifying cells responsible for relapse.
- CombiFlow enables crucial functional studies on live sorted populations, advancing cancer research and therapeutic strategies.
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