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Related Experiment Video

Updated: Sep 11, 2025

Analysis of Cell Cycle Position in Mammalian Cells

Analysis of Cell Cycle Position in Mammalian Cells

Published on: January 21, 2012

Accurate Identification of Cell Cycle Stages in RPE1 Cells Using the ImmunoCellCycle-ID Method.

Syon Reddy¹, Yu-Lin Chen¹, Aussie Suzuki^1,2

¹McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin-Madison, Madison, WI, USA.

|August 13, 2025

Summary

This summary is machine-generated.

Accurate cell cycle profiling is crucial for understanding biological processes. ImmunoCellCycle-ID offers high-precision, single-cell resolution using immunofluorescence, overcoming flow cytometry limitations for diverse applications.

Keywords:

Cancer research Cell biology Cell cycle Immunofluorescence Single-cell analysis

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Last Updated: Sep 11, 2025

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Published on: January 21, 2012

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Monitoring Kinase and Phosphatase Activities Through the Cell Cycle by Ratiometric FRET

Monitoring Kinase and Phosphatase Activities Through the Cell Cycle by Ratiometric FRET

Published on: January 27, 2012

Area of Science:

Cell Biology
Molecular Biology
Biotechnology

Background:

Accurate cell cycle stage identification is vital for studying proliferation, differentiation, and cancer.
Flow cytometry, a common method, lacks single-cell resolution and requires large samples.
There's a need for precise methods applicable to small samples.

Purpose of the Study:

To introduce ImmunoCellCycle-ID, a novel immunofluorescence-based method for high-resolution cell cycle analysis.
To provide a versatile and accessible alternative to existing cell cycle profiling techniques.

Main Methods:

Utilizes spatial distribution of endogenous markers (DNA, PCNA, CENP-F, CENP-C) for cell cycle sub-stage identification.
Employs standard immunofluorescence protocols and conventional microscopy.
Does not require genetic modification or specialized equipment.

Main Results:

Reliably distinguishes G1, S, G2, and mitotic sub-stages at single-cell resolution.
Applicable to a wide range of human cell lines without genetic manipulation.
Demonstrates scalability for population-level analysis.

Conclusions:

ImmunoCellCycle-ID provides precise, versatile, and accessible cell cycle profiling.
The method overcomes limitations of traditional techniques, enabling detailed biological process investigation.
Offers a powerful tool for diverse experimental platforms requiring high-resolution cell cycle analysis.