Automated mapping of DNA replication fork progression in human cells with ForkML.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41577668.
- Also identified by DOI 10.1038/s41467-026-68750-4 and PMC identifier 12932727.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Current approaches to mapping fork progression in the human genome suffer from drastically low throughput. Here, we introduce ForkML, a nanopore sequencing-based method automatically positioning thousands of individual fork velocities by tracking BrdU incorporation into replicating DNA after double pulse-labelling of asynchronous cells. ForkML recovers known human fork speed, accurately detects replication stress, and, crucially, connects replication dynamics to genomic and chromatin contexts, exposing fork slowdown in early-replicating transcribed regions.
Medical subject headings
- DNA Replication
- Nanopore Sequencing