ArticleNature communications2026
Automated mapping of DNA replication fork progression in human cells with ForkML.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Replication stress in cancer: origins, consequences and therapeutic opportunities.Nature reviews. Cancer · 2026Review
- Spatial organization and dynamics of genome replication: from forks to foci.Nucleic acids research · 2026Review
- DNAi: an open-source AI tool for unbiased DNA fiber analysis.Nucleic acids research · 2026Article
- Multiplexed TrAEL-seq captures DNA replication dynamics in mammalian cells.Nucleic acids research · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
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.
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Registered trials
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