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Fluorescence Activated Cell Sorting of Plant Protoplasts
Published on: February 18, 2010
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Considerations for high-yield, high-throughput cell enrichment: fluorescence versus magnetic sorting.
Bryan A Sutermaster1,2, Eric M Darling3,4,5,6
1Center for Biomedical Engineering, Brown University, Providence, USA.
Scientific Reports
|January 20, 2019
Summary
Magnetic-activated cell sorting (MACS) offers faster processing and higher cell yields than fluorescence-activated cell sorting (FACS) for isolating cell populations. Optimization is needed, but MACS shows promise for cell-based applications.
Area of Science:
- Cell Biology
- Biotechnology
- Immunology
Background:
- Efficient isolation of specific cell subpopulations is crucial for both basic research and clinical applications.
- Common cell sorting methods like fluorescence-activated cell sorting (FACS) and magnetic-activated cell sorting (MACS) have underreported performance metrics.
- Quantifying throughput, yield, viability, and processing time is essential for method selection.
Purpose of the Study:
- To quantitatively compare the performance of MACS and FACS for isolating alkaline phosphatase liver/bone/kidney (ALPL)-expressing and non-expressing cells.
- To assess the accuracy, cell loss, processing time, and viability associated with each sorting method.
- To determine optimal conditions for MACS to achieve accurate cell separation.
Main Methods:
- Defined mixtures of ALPL-expressing and non-expressing cells were sorted using both MACS and FACS.
- MACS sorting was performed using manufacturer's recommended reagent concentrations and optimized higher concentrations.
- Performance metrics including accuracy of cell splits, cell loss, processing time, and cell viability were recorded for both methods.
Main Results:
- Initial MACS runs with standard reagent concentrations yielded inaccurate cell separation when ALPL+ cells were proportionally high (>~25%).
- Substantially higher concentrations of labeling reagents were required for MACS to achieve accuracy comparable to FACS across all proportions.
- MACS sorting resulted in significantly lower cell loss (7-9%) compared to FACS (~70%) and was faster overall, especially for multiple samples processed in parallel.
- Cell viability remained high (>83%) for both methods across all experimental groups.
Conclusions:
- MACS requires optimization, particularly in reagent concentrations, to achieve accurate cell sorting across varying cell proportions.
- Despite optimization needs, MACS offers significant advantages in terms of reduced cell loss and faster processing times compared to FACS.
- The enhanced cell yield and speed of MACS make it a potentially valuable tool for translational and cell-based applications requiring large numbers of isolated cells.
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