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Related Experiment Videos

Continuous flow magnetic cell fractionation based on antigen expression level.

Thomas Schneider1, Lee R Moore, Ying Jing

  • 1Department of Biomedical Engineering, The Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH 44195, USA.

Journal of Biochemical and Biophysical Methods
|May 6, 2006
PubMed
Summary
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This study introduces the Dipole Magnet Flow Fractionator (DMFF) for cell separation. The DMFF effectively enriches magnetically labeled cells, demonstrating its potential for applications like rare cancer cell detection.

Area of Science:

  • Biotechnology
  • Cell Biology
  • Medical Diagnostics

Background:

  • Cell separation is crucial for research and clinical applications, including rare cell detection.
  • Immunomagnetic labeling allows cell population fractionation based on magnetophoretic mobility (MM).

Purpose of the Study:

  • To develop and evaluate the Dipole Magnet Flow Fractionator (DMFF) for efficient cell separation.
  • To validate the relationship between magnetic bead attachment, cell surface markers, and magnetophoretic mobility.

Main Methods:

  • Utilized a DMFF apparatus with an isodynamic magnetic field and continuous sheath flow.
  • Separated a 1:1 mixture of immunomagnetically labeled (label+) and unlabeled (label-) cells into ten outlet flows.
  • Measured magnetophoretic mobility (MM) using cell tracking velocimetry (CTV) and correlated it with cell fluorescence intensity via flow cytometry.

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Main Results:

  • Achieved up to 10-fold enrichment of label+ cells in the direction of the magnetic field gradient.
  • Obtained a total recovery of 90.0+/-7.7% across ten outlet fractions.
  • Demonstrated a 2.3-fold increase in mean MM for label+ cells with increasing outlet number, validating the bead-marker proportionality.

Conclusions:

  • The DMFF is an effective tool for separating immunomagnetically labeled cells based on their magnetophoretic mobility.
  • The study validates the correlation between magnetic bead load and cell surface marker expression, crucial for diagnostic applications.