Evidence map›Paper›PMID 39975020›Full record

ArticlebioRxiv : the preprint server for biology2025

An HIV-1 Reference Epitranscriptome.

Michael S Bosmeny, Adrian A Pater, Li Zhang, Lydia Larkai, Beverly E Sha, Zidi Lyu, Masad J Damha, João I Mamede, Keith T Gagnon

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for 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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Michael S BosmenyDept. of Biochemistry, Wake Forest University, School of Medicine, Winston-Salem, North Carolina, USA, 27101.
Adrian A PaterDept. of Biochemistry, Wake Forest University, School of Medicine, Winston-Salem, North Carolina, USA, 27101.
Li ZhangEqually contributing authors.
Lydia LarkaiDept. of Biochemistry, Wake Forest University, School of Medicine, Winston-Salem, North Carolina, USA, 27101.
Beverly E ShaDivision of Infectious Diseases, Rush University Medical Center, Chicago, Illinois, USA, 60612.
Zidi LyuDept. of Chemistry, McGill University, Montreal, Canada, H3A, 0G3.
Masad J DamhaDept. of Chemistry, McGill University, Montreal, Canada, H3A, 0G3.
João I MamedeDept. of Microbial Pathogens and Immunity, Rush University, Chicago, Illinois, USA, 60612.
Keith T GagnonDept. of Biochemistry, Wake Forest University, School of Medicine, Winston-Salem, North Carolina, USA, 27101.ORCID 0000-0002-5868-675X

Funding

Coupling Epitranscriptomics to Molecular Disease Mechanisms and Nucleic Acid Therapeutics in Persistent Residual HIV InfectionR61AI169661 · NIAID · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GAGNON, KEITH THOMAS · 2022 to 2024
$1.8M
NIAID NIH HHS R61 AI169661
6 · The paper itself

Abstract

Post-transcriptional modifications to RNA, which comprise the epitranscriptome, play important roles in RNA metabolism, gene regulation, and human disease, including viral pathogenesis. Modifications to the RNA viral genome and transcripts of human immunodeficiency virus 1 (HIV-1) have been reported and investigated in the context of virus and host biology. However, the diversity of experimental approaches used has made clear correlations across studies, as well as the significance of the HIV-1 epitranscriptome in biology and disease, difficult to assess. Therefore, we established a reference HIV-1 epitranscriptome. We sequenced the model NL4-3 HIV-1 genome from infected primary CD4+ T cells and the Jurkat cell line using the latest nanopore chemistry, optimized RNA preparation methods, and the most current and readily available base-calling algorithms. A highly reproducible sense and a preliminary antisense HIV-1 epitranscriptome were created, where N

Identifiers

PMID39975020
PMCPMC11838527

What Socratic holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

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.