Evidence map›Paper›PMID 40880527›Full record

ArticlePLoS computational biology2025

The R-loop grammar predicts R-loop formation under different topological constraints.

Margherita Maria Ferrari, Svetlana Poznanović, Manda Riehl, Jacob Lusk, Stella Hartono, Georgina Gonzalez-Isunza, Frédéric Chédin, Mariel Vázquez, Nataša Jonoska

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Margherita Maria FerrariDepartment of Mathematics, University of Manitoba, Winnipeg, Manitoba, Canada.
Svetlana PoznanovićDepartment of Mathematical and Statistical Sciences, Clemson University, Clemson, South Carolina, United States of America.
Manda RiehlDepartment of Mathematics, Rose-Hulman Institute of Technology, Terre Haute, Indiana, United States of America.
Jacob LuskDepartment of Microbiology and Molecular Genetics, University of California Davis, Davis, California, United States of America.
Stella HartonoDepartment of Molecular and Cellular Biology, University of California Davis, Davis, California, United States of America.
Georgina Gonzalez-IsunzaDepartment of Microbiology and Molecular Genetics, University of California Davis, Davis, California, United States of America.
Frédéric ChédinDepartment of Molecular and Cellular Biology, University of California Davis, Davis, California, United States of America.
Mariel VázquezDepartment of Microbiology and Molecular Genetics, University of California Davis, Davis, California, United States of America.
Nataša JonoskaDepartment of Mathematics and Statistics, University of South Florida, Tampa, Florida, United States of America.ORCID 0000-0003-0765-9425

Funding

Understanding the mechanisms underlying R-loop biogenesis and resolution in mammals.R35GM139549 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Frederic Louis Chedin · 2021 to 2026
$4.4M
National Science Foundation 2054321National Science Foundation 2054347National Science Foundation DMS #1716987National Science Foundation DMS#1815832National Science Foundation DMS #1817156NIGMS NIH HHS R35 GM139549
6 · The paper itself

Abstract

R-loops are transient three-stranded nucleic acids that form during transcription when the nascent RNA hybridizes with the template DNA, freeing the non-template strand of the DNA. There is growing evidence that R-loops play important roles in physiological processes such as the regulation of gene expression, and that they contribute to chromosomal instability and disease. It is known that R-loop formation is influenced by both the sequence and the topology of the DNA substrate, but many questions remain about how R-loops form and the three-dimensional structures that they adopt. Here we represent an R-loop as a word in a formal grammar, the R-loop grammar. We use the R-loop grammar to predict R-loop formation. We train the R-loop grammar on experimental data obtained by single-molecule R-loop footprinting and sequencing (SMRF-seq). Despite not explicitly encoding topological information, the R-loop grammar accurately predicts R-loop formation on plasmids with varying starting topologies and outperforms previous methods in R-loop prediction.

Indexed as

DNAR-Loop StructuresAlgorithmsComputational BiologyNucleic Acid ConformationPlasmidsRNADNARNA

Identifiers

PMID40880527
PMCPMC12396753

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.