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

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.