Cell Purity Analysis
Cell Purity Analysis - 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.
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.
12:06
Synthesis of High Purity Nonsymmetric Dialkylphosphinic Acid Extractants
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Cited by 6 •
2017
A protocol for the synthesis of high purity nonsymmetric dialkylphosphinic acid extractants is presented, taking (2,3-dimethylbutyl)(2,4,4'-trimethylpentyl)phosphinic acid as an example.
07:54
Rapid and Refined CD11b Magnetic Isolation of Primary Microglia with Enhanced Purity and Versatility
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Cited by 22 •
2017
Here, we present a protocol to isolate microglia from postnatal mouse pups (day 1) for in vitro experimentation. This improvised method of isolation generates both high yield and purity, a significant advantage over alternate methods that allows broad range experimentation for the purposes of elucidating microglial biology.
09:32
Cell Cycle Analysis
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2023
Cell cycle refers to the set of events through which a cell grows, replicates its genome, and ultimately divides into two daughter cells through the process of mitosis. Because the amount of DNA in a cell shows characteristic changes throughout the cycle, techniques known as cell cycle analysis can be used to separate a population of cells according to the different phases of cell cycle they are in, based on their varying DNA content.This video will cover the principles behind cell cycle...
FAQs
Interpretation depends on comparing signals from markers associated with the intended cell type against signals associated with unwanted cells. A strong target-marker signal alone does not establish a clean population if contamination markers are also detected. Examining both categories helps distinguish successful enrichment from a mixed population and provides a more informative assessment of cell identity.
Unwanted-cell markers reveal populations that target markers may not detect. Their presence can indicate incomplete differentiation, residual cells from an earlier state, or other cell types within the sample, although the analysis itself does not identify the specific cause. Including these markers allows researchers to recognize mixed populations and interpret developmental outcomes more cautiously.
These approaches measure cell-type-associated signals through different forms of observation. Immunostaining and microscopy can associate markers with cells or visible sample regions, whereas flow cytometry supports measurement across the analyzed population. Gene-expression assays assess marker expression at the molecular level. Using the approach suited to the experimental question can strengthen evaluation of identity and contamination.
A practical workflow begins by selecting markers for the intended identity and for unwanted cell types. Researchers then measure the corresponding signals with immunostaining, flow cytometry, microscopy, or gene-expression assays. Comparing target and contamination-marker results produces a purity estimate that can be used to judge the population before molecular or functional experiments.
It is particularly important when researchers evaluate stem-cell differentiation, lineage specification, organoids, or developing tissues. These systems may contain cells at different developmental states or multiple lineages, so marker-based assessment helps determine whether the experimental population matches the intended outcome. The resulting information supports comparisons among differentiation protocols and improves study reproducibility.
Purity results help determine whether a population is appropriate for downstream molecular analyses or functional experiments. Detecting unwanted cells can signal that a differentiation or isolation procedure requires refinement, while consistent marker patterns support more reproducible comparisons. Tracking these measurements across experiments also helps researchers follow lineage specification and identify changes in population composition.