Evidence map›Paper›PMID 42367206›Full record

ArticleBio-protocol2026

High-Resolution Mapping of RNA-RNA Interactions Across the HIV-1 Genome With HicapR.

Haobo Wang, Yan Zhang, Jingwan Han, Dejian Xie, Wenlong Shen, Ping Li, Jian You Lau, Jingyun Li, Lin Li, Grzegorz Kudla and 1 more

Abstract read
In one paragraph

Article in Bio-protocol, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Haobo WangLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Yan ZhangLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Jingwan HanInstitute of Microbiology and Epidemiology, Beijing, China.
Dejian XieLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Wenlong ShenLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Ping LiLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Jian You LauMRC Human Genetics Unit, University of Edinburgh, Edinburgh, United Kingdom.
Jingyun LiInstitute of Microbiology and Epidemiology, Beijing, China.
Lin LiInstitute of Microbiology and Epidemiology, Beijing, China.
Grzegorz KudlaMRC Human Genetics Unit, University of Edinburgh, Edinburgh, United Kingdom.
Zhihu ZhaoLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomes of RNA viruses can fold into dynamic structures that regulate their own infection and immune evasion processes. Proximity ligation methods (e.g., SPLASH) enable genome-wide interaction mapping but lack specificity when dealing with low-abundance targets in complex samples. Here, we describe HiCapR, a protocol integrating in vivo psoralen crosslinking, RNA fragmentation, proximity ligation, and hybridization capture to specifically enrich viral RNA-RNA interactions. Captured libraries are sequenced, and chimeric reads are analyzed via a customized computational pipeline to generate constrained secondary structures. HiCapR generates high-resolution RNA interaction maps for viral genomes. We applied it to resolve the in vivo structure of the complete HIV-1 RNA genome, identifying functional domains, homodimers, and long-range interactions. The protocol's robustness has been previously validated on the SARS-CoV-2 genome. HiCapR combines proximity ligation with targeted enrichment, providing an efficient and specific tool for studying RNA architecture in viruses, with broad applications in virology and antiviral development. Key features • This protocol describes a method for capturing and analyzing RNA-RNA interacting fragments from a specific source (e.g., viral RNA). • This protocol efficiently captures low-abundance RNA from complex samples. • This protocol provides a new, accurate, and highly sensitive platform for detecting and analyzing specific RNA-RNA interactions, such as those in viral RNAs.

Indexed as

HiCapRHIV-1Proximity ligationRNA–RNA interactionRNA structureViral genome

Identifiers

PMID42367206
PMCPMC13293981

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.