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Related Concept Videos

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.

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Related Experiment Video

Updated: Jun 2, 2026

Fluorescence-activated Cell Sorting for Purification of Plasmacytoid Dendritic Cells from the Mouse Bone Marrow
08:01

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.

Klinicka Onkologie : Casopis Ceske a Slovenske Onkologicke Spolecnosti
|May 6, 2011
PubMed
Summary
This summary is machine-generated.

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.

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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.