ArticleNucleic acids research2025
Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A comparative analysis of promoter-proximal pausing reveals kinetic and distributional dimensions of variation.bioRxiv : the preprint server for biology · 2026Article
- Kinetic measurement of gene-specific RNA polymerase II transcription elongation rates.Genome research · 2025Article
- Epigenetic mechanisms governing cell type specific somatic expansion and toxicity in Huntington's disease.bioRxiv : the preprint server for biology · 2025Article
- The application value and challenges of metagenomic next-generation sequencing in the diagnosis of periprosthetic joint infection after arthroplasty.Frontiers in medicine · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
Rates of transcription elongation vary within and across eukaryotic gene bodies. Here, we introduce new methods for predicting elongation rates from nascent RNA sequencing data. First, we devise a probabilistic model that predicts nucleotide-specific elongation rates as a generalized linear function of nearby genomic and epigenomic features. We validate this model with simulations and apply it to public PRO-seq (Precision Run-On Sequencing) and epigenomic data for four cell types, finding that reductions in local elongation rate are associated with cytosine nucleotides, DNA methylation, splice sites, RNA stem-loops, CTCF (CCCTC-binding factor) binding sites, and several histone marks, including H3K36me3 and H4K20me1. By contrast, increases in local elongation rate are associated with thymines, A+T-rich and low-complexity sequences, and H3K79me2 marks. We then introduce a convolutional neural network that improves our local rate predictions. Our analysis is the first to permit genome-wide predictions of relative nucleotide-specific elongation rates.
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