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Updated: Jul 3, 2025

Immunofluorescence Analysis of Stress Granule Formation After Bacterial Challenge of Mammalian Cells

Immunofluorescence Analysis of Stress Granule Formation After Bacterial Challenge of Mammalian Cells

Published on: July 3, 2017

Using an ImageJ-based script to detect replication stress and associated cell cycle exit from G2 phase by

Arne Lindqvist¹, Zhiyu Hao¹, Karen Akopyan¹

¹Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.

Methods in Cell Biology

|February 15, 2024

Summary

This summary is machine-generated.

This study introduces an accessible fluorescence microscopy method and ImageJ script to analyze cell cycle distribution, replication stress, and G2 phase cell cycle exit. This tool aids researchers in understanding genomic integrity maintenance.

Keywords:

Cell cycle exit DNA damage Fluorescence microscopy G2 phase ImageJ script Replication stress

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Last Updated: Jul 3, 2025

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Published on: December 16, 2014

Area of Science:

Cell Biology
Genomics
Molecular Biology

Background:

Replication stress can compromise genomic integrity, leading to DNA damage and cell cycle arrest.
Cells in G2 phase face a decision: repair DNA and proceed to mitosis or exit the cell cycle permanently.
Understanding these processes is crucial for comprehending cancer and aging.

Purpose of the Study:

To develop an accessible method for detecting cell cycle distribution, replication stress, and G2 phase cell cycle exit.
To provide an automated ImageJ script for analyzing microscopy data.
To facilitate research for scientists with limited computational expertise.

Main Methods:

Utilizing fluorescence microscopy to visualize and quantify cell cycle parameters.
Implementing a custom ImageJ script for automated data analysis.
Focusing on a user-friendly setup for broad accessibility.

Main Results:

Successful development of a method to detect cell cycle distribution and replication stress.
Demonstration of the ability to identify cells exiting the cell cycle from G2 phase.
Validation of an automated ImageJ script for efficient data processing.

Conclusions:

The described method and script offer a valuable, accessible tool for studying replication stress and cell cycle regulation.
This approach can advance research on genomic stability and cell fate decisions.
The user-friendly design promotes wider adoption in biological research labs.