ArticlePLoS computational biology2021
Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Mapping the RNA Chaperone Activity of the Trypanosoma brucei Editosome Using SHAPE-Chemical Probing.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Structural determinants of inverted Alu-mediated backsplicing revealed by -MaP and -JuMP.Nucleic acids research · 2025Article
- RNAvigate: efficient exploration of RNA chemical probing datasets.Nucleic acids research · 2024Article
- Promising Assays for Examining a Putative Role of Ribosomal Heterogeneity in COVID-19 Susceptibility and Severity.Life (Basel, Switzerland) · 2022Review
- Direct Mapping of Higher-Order RNA Interactions by SHAPE-JuMP.Biochemistry · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
SHAPE-JuMP is a concise strategy for identifying close-in-space interactions in RNA molecules. Nucleotides in close three-dimensional proximity are crosslinked with a bi-reactive reagent that covalently links the 2'-hydroxyl groups of the ribose moieties. The identities of crosslinked nucleotides are determined using an engineered reverse transcriptase that jumps across crosslinked sites, resulting in a deletion in the cDNA that is detected using massively parallel sequencing. Here we introduce ShapeJumper, a bioinformatics pipeline to process SHAPE-JuMP sequencing data and to accurately identify through-space interactions, as observed in complex JuMP datasets. ShapeJumper identifies proximal interactions with near-nucleotide resolution using an alignment strategy that is optimized to tolerate the unique non-templated reverse-transcription profile of the engineered crosslink-traversing reverse-transcriptase. JuMP-inspired strategies are now poised to replace adapter-ligation for detecting RNA-RNA interactions in most crosslinking experiments.
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Registered trials
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