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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Advanced Multicolor Flow Cytometry Method for Multiple Myeloma.

Noa Ofir1, Ety Rozenberg1, Omri Sharabi1

  • 1The Shraga Segal Department for Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Clinical Lymphoma, Myeloma & Leukemia
|November 1, 2025
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Summary
This summary is machine-generated.

A new 14-color flow cytometry (FACS) protocol effectively detects multiple myeloma (MM) clonality in bone marrow. This method aids in visualizing complex plasma cell heterogeneity for improved diagnosis and personalized treatment strategies.

Keywords:
ClonalityFACSHeterogeneity

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Area of Science:

  • Hematology
  • Immunology
  • Oncology

Background:

  • Multiple myeloma (MM) is a malignant plasma cell disorder of the bone marrow.
  • Despite treatment advances, MM remains incurable due to complex cellular clonality.
  • Accurate detection of MM clonality is crucial for diagnosis and treatment.

Purpose of the Study:

  • To present a novel 14-color flow cytometry (FACS) protocol for robust detection and visualization of MM clonality.
  • To streamline the workflow for analyzing bone marrow plasma cells.

Main Methods:

  • Development of a single-tube 14-color FACS protocol for fresh bone marrow samples.
  • Utilized a stable, premixed antibody cocktail for enhanced reproducibility.
  • Applied t-distributed stochastic neighbor embedding (t-SNE) for visualizing plasma cell clonality.

Main Results:

  • The 14-color FACS panel successfully identified CD38+ CD138+ plasma cells and their clonality.
  • MM patients exhibited unique clonal patterns and significant heterogeneity at diagnosis.
  • t-SNE provided a unified 2-D visualization of multi-parameter plasma cell heterogeneity, revealing patient similarities and differences between primary and relapsed disease.

Conclusions:

  • The developed FACS protocol offers a robust and efficient method for MM diagnosis.
  • Commercial antibodies and standard FACS equipment are compatible with this protocol.
  • Concise visualization of multi-parameter FACS data can guide therapeutic decisions and personalized treatment strategies for MM.