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Quantifying Replication Stress in Ovarian Cancer Cells Using Single-Stranded DNA Immunofluorescence
Published on: February 10, 2023
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Quantifying Replication Stress in Ovarian Cancer Cells Using Single-Stranded DNA Immunofluorescence
Natasha Ramakrishnan1, Ena Haseljic1, Priyanka Verma2
1Division of Oncology, Department of Medicine, Siteman Cancer Center, Washington University School of Medicine.
Journal of Visualized Experiments : Jove
|February 27, 2023
Summary
Quantifying single-stranded DNA (ssDNA) reveals replication stress levels in ovarian cancer. This method uses immunofluorescence to detect ssDNA, aiding in predicting treatment responses.
Area of Science:
- Molecular Biology
- Cancer Research
- Genetics
Background:
- Replication stress is a key feature in various ovarian cancers, often leading to single-stranded DNA (ssDNA) generation.
- Quantifying ssDNA offers a method to evaluate replication stress levels across different cell types and in response to DNA-damaging agents.
- ssDNA levels may predict patient responses to DNA repair-targeting chemotherapies.
Purpose of the Study:
- To present a detailed immunofluorescence-based method for quantifying ssDNA.
- To establish a reproducible and rapid technique for assessing replication stress.
- To enable high-throughput screening for drug discovery and genetic studies.
Main Methods:
- Genome labeling with a thymidine analog.
- Antibody-based detection of the analog on chromatin under non-denaturing conditions.
- Visualization and quantification of ssDNA foci using fluorescence microscopy and an automated pipeline.
Main Results:
- ssDNA is visualized as nuclear foci, with their number and intensity correlating directly with ssDNA levels.
- The described immunofluorescence method is rapid, reproducible, and simple to implement.
- The methodology is suitable for high-throughput applications, including drug and genetic screens.
Conclusions:
- This immunofluorescence technique provides a reliable way to quantify ssDNA, serving as a biomarker for replication stress.
- The method's simplicity and speed make it valuable for both basic research and clinical applications, particularly in ovarian cancer.
- ssDNA quantification can guide personalized treatment strategies by predicting responses to specific chemotherapies.

