Automated mapping of DNA replication fork progression in human cells with ForkML

Area of Science:

• Genomics
• Molecular Biology
• Biotechnology

Background:

• Mapping DNA replication fork progression is crucial for understanding genome stability.
• Existing methods for measuring fork speed have limitations in throughput and scalability.

Purpose of the Study:

• To introduce ForkML, a high-throughput nanopore sequencing-based method for precise mapping of DNA replication fork velocities.
• To analyze replication dynamics in relation to genomic and chromatin features.

Main Methods:

• Utilizing nanopore sequencing technology.
• Employing double pulse-labeling with BrdU incorporation in asynchronous cells.
• Developing an automated computational pipeline for analyzing thousands of individual fork velocities.

Main Results:

• ForkML accurately determines human fork speed, consistent with established data.
• The method reliably detects replication stress.
• ForkML reveals that replication forks slow down in early-replicating, transcribed genomic regions, linking replication dynamics to chromatin context.

Conclusions:

• ForkML significantly enhances the throughput for measuring DNA replication fork progression.
• The method provides novel insights into the relationship between replication dynamics, genomic features, and chromatin states.
• ForkML is a powerful tool for studying genome replication and stability.