Cell Cycle Sorting
Cell Cycle Sorting - Related Videos
09:27
Cell Sorting of Neural Stem and Progenitor Cells from the Adult Mouse Subventricular Zone and Live-imaging of their Cell Cycle Dynamics
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Cited by 30 •
2015
We report a Fluorescent Activated Cell Sorting (FACS)-based method to isolate neural stem cells (NSCs) and their progeny from the subventricular zone (SVZ) of the adult mouse brain. Applied to Fluorescence Ubiquitination Cell Cycle Indicator (FUCCI) transgenic mice, it allows the study of cell cycle progression by live imaging.
04:33
Isolating Single Cells from Xenopus Early Embryos and Sorting Them by Size
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2026
We describe a method for isolating single cells from Xenopus laevis early embryos and sorting them by cell size.
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...
13:35
Fluorescence Activated Cell Sorting of Plant Protoplasts
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Cited by 92 •
2010
A method for isolating specific cell types from plant material is demonstrated. This technique employs transgenic marker lines expressing fluorescent proteins in particular cell types, cellular dissociation and Fluorescence Activated Cell Sorting. Additionally, a growth setup is established here that facilitates treatment of Arabidopsis thaliana seedlings prior to cell sorting.
03:01
Flow Cytometry-Based Cell Sorting for Different Circulatory B Cell Populations
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2025
In this video, we describe a protocol for the flow cytometry-based sorting of naïve B cell, memory B cell, and plasmablast plasma cell subpopulations from human peripheral blood B cells. The different B cell subpopulations can be distinguished based on fluorophore-based antibody binding to the CD19, CD27, and CD38 receptors expressed on the B cell surfaces, followed by cell sorting.
FAQs
Fluorescent DNA labeling creates a signal that reflects the DNA content of each measured cell. As cells pass individually through the cytometer laser, their fluorescence is recorded and computational gates organize the resulting measurements into G0/G1, S, and G2/M populations. These gates provide the basis for selecting cells with comparable cell-cycle positions for downstream analysis.
Computational gates define the boundaries used to classify measured cells into distinct cell-cycle populations. They separate the recorded DNA-content data into G0/G1, S, and G2/M groups before physical collection occurs. Because sorting depends on these assignments, the gates determine which cells are directed toward each fraction and therefore influence the composition of the enriched samples.
Charged droplets provide the physical link between computational classification and sample recovery. After the cytometer identifies a selected cell according to its gated population, the droplet containing that cell receives a charge that allows it to be directed into an appropriate collection tube. This process produces separate fractions corresponding to the selected cell-cycle groups.
A typical workflow begins by labeling cells with a fluorescent DNA-binding dye and introducing them into the flow cytometer. The instrument measures fluorescence as individual cells pass through a laser, after which computational gates identify the desired G0/G1, S, or G2/M populations. Charged droplets then direct selected cells into separate tubes for subsequent biochemical or molecular analysis.
Enriched fractions allow investigators to examine biochemical and molecular features within defined cell-cycle populations rather than relying only on an unsorted cell mixture. The overview specifically identifies DNA replication, protein regulation, and gene expression as relevant analyses. Comparing these measurements across G0/G1, S, and G2/M fractions can associate molecular changes with cell-cycle position.
The method can separate cells according to cell-cycle position after exposure to a drug or another experimental condition. Investigators can then analyze the resulting fractions to determine how DNA replication, protein regulation, or gene expression relates to the identified populations. This phase-specific organization supports biochemical comparison of treated samples across G0/G1, S, and G2/M groups.