Immune Cell Purity
Immune Cell Purity - Related Videos
08:02
Determination of Immune Cell Identity and Purity Using Epigenetic-Based Quantitative PCR
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Cited by 1 •
2020
Here we describe a robust method of determining immune cell identity and purity through epigenetic signatures detected using quantitative PCR (qPCR). DNA demethylation at a specific locus serves as a unique identifier for a particular cell type and allows for identification of CD8+, regulatory, or Th17 T cells.
07:26
Isolation of Functional Cardiac Immune Cells
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Cited by 9 •
2011
This method for isolating functional immune cells from the heart provides an alternative to the conventional methods of collagenase digestion, which causes unwanted immune cell activation, resulting in a decreased responsiveness of these cells. Our method of isolation yields functional cardiac immune cells by avoiding problems associated with enzymatic digestion.
15:39
Studying Organelle Dynamics in B Cells During Immune Synapse Formation
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Cited by 8 •
2019
Herein we describe two approaches to characterize cell polarization events in B lymphocytes during the formation of an IS. The first, involves quantification of organelle recruitment and cytoskeleton rearrangements at the synaptic membrane. The second is a biochemical approach, to characterize changes in composition of the centrosome, which undergoes polarization to the immune synapse.
05:07
Isolation, Characterization and Functional Examination of the Gingival Immune Cell Network
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Cited by 30 •
2016
We have established a technique for the isolation, phenotypic characterization and functional analysis of immune cells from murine gingiva.
12:17
Detection and Isolation of Apoptotic Bodies to High Purity
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Cited by 29 •
2018
A workflow using flow cytometry or differential centrifugation is developed to detect, quantify and isolate apoptotic bodies from an apoptotic sample to high purity.
FAQs
Contaminating cells can change experimental readouts rather than merely dilute the intended population. They may contribute their own cytokines, gene-expression signals, or functional responses, making it difficult to attribute an observed result to the target immune cells. Consequently, inadequate purity can weaken conclusions about immune-cell behavior and complicate comparisons between samples or experimental conditions.
Separation works by exploiting measurable differences between the desired cells and other material. Density-based approaches distinguish cells by physical density, whereas surface-marker or antibody-binding approaches use molecular features at the cell surface. The choice determines which population is enriched and which unwanted components are removed, so the relevant cell property must match the intended preparation.
Flow cytometry and microscopic analysis provide complementary ways to validate a preparation. Flow cytometry can assess composition through detected cellular characteristics, while microscopy allows visual examination of cells and unwanted material. Using a validation method after separation helps determine whether the preparation actually contains the intended population, rather than assuming that an enrichment step achieved adequate purity.
A practical workflow begins by selecting a separation strategy based on the properties that distinguish the intended immune cells from unwanted cells or debris. Researchers then perform the chosen separation and validate the resulting composition with flow cytometry or microscopic analysis. This sequence links enrichment to direct quality assessment and identifies whether further improvement is needed.
High-purity preparations are especially important when the experiment measures cytokines, gene-expression profiles, or functional responses. In immunology and infection research, these readouts may be used to examine host-pathogen interactions or immune-cell signaling. Reducing unwanted cellular contributions makes the resulting measurements more interpretable and supports stronger conclusions about the immune population under study.
Purity assessment provides a quality-control basis for work extending beyond mechanistic experiments. It can support diagnostic studies, therapeutic development, and cell-based applications by showing whether the preparation contains the intended immune population rather than unwanted cells, debris, or microbial contaminants. That information helps researchers judge whether observed performance or test results are attributable to the prepared cells.