Subpopulation Cell Cycle
Subpopulation Cell Cycle - Related Videos
03:44
Leukemic Subpopulation Harvest: A Method for Spatial Separation of Leukemic Cell Subpopulations from 2D Co-culture
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2023
This video describes a method for spatial separation of three leukemic cell subpopulations: the suspended leukemic cells freely floating in the media, phase bright leukemic cells adhered to the surface of the mesenchymal stromal cell monolayer, and the phase dim leukemic cells that have migrated beneath the mesenchymal stromal cell monolayer from 2D co-culture.
12:19
Analysis of Cell Cycle Position in Mammalian Cells
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Cited by 71 •
2012
Determining the cell cycle position of a population of cells, or understanding how signals affect proliferation, can be readily measured by flow cytometry using this protocol. We report a simple experimental approach to staining cells and quantifying their position in the cell cycle.
07:41
A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
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Cited by 3 •
2017
This article describes a method for studying cellular metabolism in complex communities of multiple cell types, using a combination of stable isotope tracing, cell sorting to isolate specific cell types, and mass spectrometry.
05:01
Multiplexed Immunofluorescence Imaging to Analyze Immunotherapy-Resistant T Cell Subpopulations
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2025
This video demonstrates an in-situ fluorescence multispectral imaging technique to analyze different subpopulations of infiltrating T cells in tumor tissue. A renal cell carcinoma tissue cryosection is treated with antibodies to label CD8+ T cells that express specific inhibitory receptors and exhibit an immunotherapy-resistant phenotype. The labeled section is visualized using a multispectral microscope to identify the distinct CD8+ T cell subpopulations.
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
DNA content provides the primary basis for assigning cells to G1, S, or G2/M categories. Cells with different amounts of replicated DNA occupy different portions of the distribution, allowing researchers to estimate how many cells fall into each phase. This phase-resolved view can reveal whether a condition changes progression through the cycle rather than simply changing the total cell number.
DNA content alone provides phase information, but additional markers can clarify which cells are actively synthesizing DNA or undergoing mitosis. These markers help distinguish biologically different states that may not be fully resolved by DNA content alone. Their use is especially valuable when researchers need to separate replication activity from broader changes in the distribution of cell-cycle phases.
Changes in the proportions of cells assigned to G1, S, and G2/M can indicate altered progression, reduced proliferation, quiescence, or arrest. Examining these shifts across experimental conditions or time points helps connect a treatment or biological event with a phase-specific response. The result is more informative than a single population-wide measurement when different cell groups behave differently.
A bulk measurement combines signals from all cells, so opposing responses among subpopulations may appear as a modest overall change. Separating cells by their cell-cycle distributions shows whether distinct groups proliferate, remain quiescent, or become arrested. This distinction matters when cellular heterogeneity influences growth, differentiation, disease biology, or the response to treatment.
Researchers first assess DNA content to assign cells to G1, S, or G2/M, adding DNA-synthesis or mitosis markers when greater resolution is needed. They then compare the resulting phase distributions between populations, experimental conditions, or time points. Interpreting these comparisons can identify phase-specific effects and reveal how the mixed population changes over time.
This analysis is useful when researchers need to relate cell-cycle behavior to development, cancer biology, stem-cell biology, or drug response. It can show whether a biological process or treatment affects particular cellular groups rather than the population uniformly. Such comparisons help link heterogeneity in proliferation or arrest with broader outcomes such as growth, differentiation, and treatment response.
In drug-response studies, comparing cell-cycle distributions can show whether an experimental condition produces a phase-specific effect or changes the balance between proliferating, quiescent, and arrested cells. Tracking these patterns across time can also distinguish an early redistribution from a sustained response. This provides context for interpreting treatment outcomes that a bulk population measurement might obscure.