Cell Population Analysis
Cell Population Analysis - Related Videos
07:03
Analysis of Earthworm Populations in Soil
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2023
Source: Laboratories of Margaret Workman and Kimberly Frye - Depaul University Using mustard, Lumbricus terrestris earthworm populations can be sampled directly from soil depths without landscape disturbance or toxicity. Earthworms can then be counted for data and statistical analysis using a bar graph and student’s t-test. Monitoring earthworm populations is a vital technique for environmental scientists, as multiple species of earthworms (most notably those from the suborder Lumbricina) have...
06:26
Analysis of Side Population in Solid Tumor Cell Lines
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2021
A convenient, fast, and cost-effective method to measure the proportion of side population cells in solid tumor cell lines is presented.
04:31
Side Population Assay: A Method to Isolate Side Population of Tumor Cells from Zebrafish
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2023
The following protocol describes a method for isolating the side population of T-cell Acute Lymphoblastic Leukemia (T-ALL) tumor cells, consisting of stem cells, from an adult Zebrafish. The side population lacks prominent cell markers and hence we use Hoechst 33342 dye efflux assay to isolate them.
11:15
Assaying Blood Cell Populations of the Drosophila melanogaster Larva
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Cited by 72 •
2015
Drosophila blood cells, or hemocytes, cycle between resident sites and circulation. In the larva, resident (sessile) hemocytes localize to inductive microenvironments, the Hematopoietic Pockets, while circulating hemocytes move freely in the hemolymph. The goal of this protocol is the standardized isolation and quantification of these two, behaviorally distinct but interchanging, hemocyte populations.
10:54
Studying Proteolysis of Cyclin B at the Single Cell Level in Whole Cell Populations
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Cited by 2 •
2012
Metaphase to anaphase transition is triggered through anaphase-promoting complex (APC/C)-dependent ubiquitination and subsequent destruction of cyclin B. Here, we established a system which, following pulse-chase labeling, allows monitoring cyclin B proteolysis in entire cell populations and facilitates the detection of interference by the mitotic checkpoint.
FAQs
The key analytical step is to combine fluorescent marker patterns with a gating strategy that separates defined populations from the surrounding mixture. Investigators examine cells individually, identify groups based on their marker signals, and then quantify each group’s proportion. Carefully chosen gates allow related cell types or states to be distinguished, making the resulting population measurements biologically interpretable.
Fluorescence intensity provides more than a simple indication of whether a marker is present. Differences in signal can help characterize cellular states, including activation or differentiation, when interpreted within an appropriate marker panel and gating scheme. Intracellular fluorescent labeling also enables measurement of cytokine production, adding functional information to the phenotypic profile of each population.
By measuring cell composition and functional states alongside pathogen burden, investigators can examine whether immune changes accompany disease progression. Shifts in defined populations, activation markers, differentiation patterns, or cytokine production may provide complementary evidence about the host response. This combined view supports interpretation of how infection or treatment affects immune activity rather than relying on cell proportions alone.
A typical workflow begins with a mixed biological sample, followed by labeling selected surface or intracellular markers with fluorescent antibodies. The instrument then measures fluorescence cell by cell, and investigators apply gates to identify defined populations. They quantify the resulting groups and examine marker intensity or cytokine production to describe cellular composition and functional state.
This approach is useful when researchers need to monitor immune responses during infection, compare samples after treatment, or evaluate changes associated with vaccination. It can reveal altered cellular composition, activation, differentiation, and cytokine production. These measurements help investigators assess immune monitoring outcomes and examine whether an intervention is associated with a distinct cellular response.
Cell population analysis can provide measurable features that relate cellular phenotypes to pathogen burden or disease progression. Such relationships may support biomarker development by identifying immune patterns associated with a biological condition. In therapeutic studies, comparing population proportions and functional signals before or after treatment can help assess whether the cellular response changes in connection with the intervention.