Cell Separation
Cell Separation - Related Videos
09:48
Separation of Spermatogenic Cell Types Using STA-PUT Velocity Sedimentation
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Cited by 111 •
2013
The STA-PUT method allows for the separation of different populations of spermatogenic cells based on size and density.
01:20
Overview Of Cell Separation And Isolation
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2023
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. Commonly used cell separation techniques include filtration, density gradient...
03:19
Magnetic Separation of Schwann Cells from Mouse Sciatic Nerves
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2025
This video demonstrates a method for isolating Schwann cells from mouse sciatic nerve fibers.
03:57
T-Cell Enrichment: A Technique to Isolate T-Cells from Mixed Cell Population by Magnetic Separation
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2023
This video describes T-cells enrichment from the spleen of a mouse by negative selection using a magnetic separator. The technique involves targeting the other cells in the sample for depletion using antibodies or ligands directed against specific cell surface antigens.
07:29
Separating Protein with SDS-PAGE
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2023
Sodium Dodecyl Sulfate Poly-Acrylamide Gel Electrophoresis, or SDS-PAGE, is a widely-used technique for separating mixtures of proteins based on their size and nothing else. SDS, an anionic detergent, is used to produce an even charge across the length of proteins that have been linearized. By first loading them into a gel made of polyacrylamide and then applying an electric field to the gel, SDS-coated proteins are then separated. The electric field acts as the driving force, drawing the SDS...
FAQs
Each method depends on a property that distinguishes the target population from surrounding cells. Density-gradient centrifugation uses density, filtration uses size, and magnetic-activated separation or fluorescence-activated cell sorting uses biochemical or fluorescence signals. Separation is therefore most effective when the selected property differs clearly between populations, because stronger contrast can improve enrichment and sample definition.
Surface markers provide biochemical identifiers associated with particular cell populations, while fluorescence reports those markers or other detectable features. Magnetic separation can enrich cells recognized through marker-based interactions, whereas fluorescence-activated sorting can use fluorescence to distinguish and separate populations. These approaches support more targeted isolation than methods based only on size or density.
Separating tumor, immune, and stromal populations allows researchers to analyze these cell types independently rather than treating a mixed sample as uniform. Defined populations can then be examined through genomic, functional, or drug-response analyses. This improves interpretation of differences among cells within a tumor and can help investigate cancer progression and treatment resistance.
A workflow begins with a mixed sample, such as tissue or blood, followed by selection of a separation method that matches the relevant cellular property. The method is applied to enrich the desired population, and the separated cells are collected for downstream analysis. Researchers can then assess genomic features, cellular function, or responses to drugs.
The method should match the characteristic that best distinguishes the desired cells. Density-gradient centrifugation is appropriate when density differences are useful, whereas filtration relies on size. Magnetic-activated separation uses biochemical recognition, and fluorescence-activated sorting uses fluorescence-defined populations. In cancer studies, this choice depends on whether the goal is to enrich tumor, immune, stromal, or circulating tumor cells.
Separated populations can support cell-type-specific genomic, functional, and drug-response analyses. Examining tumor cells independently from immune or stromal cells may reveal differences associated with tumor heterogeneity, cancer progression, or treatment resistance. Separating circulating tumor cells from blood can also provide a defined population for focused investigation rather than analysis of the entire mixed blood sample.