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Updated: Jun 2, 2026
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Fluorescence-activated Cell Sorting for Purification of Plasmacytoid Dendritic Cells from the Mouse Bone Marrow
Published on: November 4, 2016
[Plasma cell separation algorithm from bone marrow samples]
I Buresová1, D Kyjovská, L Kovárová
1Babákův výzkumný institut, LF MU Brno.
Summary
A new algorithm improves plasma cell separation from bone marrow for multiple myeloma research. Fluorescence-based sorting enhances purity, especially for samples with low plasma cell counts, enabling better analysis.
Area of Science:
- Hematology
- Immunology
- Biotechnology
Context:
- Multiple myeloma research requires pure plasma cell populations for accurate analysis.
- Current plasma cell separation methods can be insufficient, particularly for samples with low plasma cell content.
Purpose:
- To develop and validate an algorithm for optimizing plasma cell separation from bone marrow samples.
- To improve the purity of separated plasma cells for enhanced downstream research applications.
Summary:
- A novel algorithm utilizes a 5% plasma cell threshold to guide separation: cell sorters for <5% and magnetic separation for >5%.
- This approach significantly increased median purity of separated plasma cells from 62.4% to 94.0% in a large cohort.
- Fluorescence-based separation proved more effective than magnetic separation for low plasma cell content.
Impact:
- The algorithm enhances plasma cell separation efficiency, particularly for samples with low plasma cell counts.
- Improved separation facilitates research in multiple myeloma and related conditions like monoclonal gammopathy of undetermined significance.
- This advancement supports the application of modern research methods in hematological malignancies.
