Evidence map›Paper›PMID 37635368›Full record

ArticleRNA biology2023

Comprehensive identification of diverse ribosomal RNA modifications by targeted nanopore direct RNA sequencing and JACUSA2.

Isabel S Naarmann-de Vries, Christiane Zorbas, Amina Lemsara, Michael Piechotta, Felix G M Ernst, Ludivine Wacheul, Denis L J Lafontaine, Christoph Dieterich

Open access · goldAbstract read
In one paragraph

Article in RNA biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  11. Frontiers in molecular biosciences · 2025
    Article
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  13. Detecting mNature communications · 2024
    Article
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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

8 authors at 2 institutions in 3 countries.

Isabel S Naarmann-de VriesSection of Bioinformatics and Systems Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
Christiane ZorbasRNA Molecular Biology, Université libre de Bruxelles (ULB), Fonds de la Recherche Scientifique (F.R.S./FNRS), Gosselies, Belgium.
Amina LemsaraSection of Bioinformatics and Systems Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
Michael PiechottaSection of Bioinformatics and Systems Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
Felix G M ErnstRNA Molecular Biology, Université libre de Bruxelles (ULB), Fonds de la Recherche Scientifique (F.R.S./FNRS), Gosselies, Belgium.
Ludivine WacheulRNA Molecular Biology, Université libre de Bruxelles (ULB), Fonds de la Recherche Scientifique (F.R.S./FNRS), Gosselies, Belgium.
Denis L J LafontaineRNA Molecular Biology, Université libre de Bruxelles (ULB), Fonds de la Recherche Scientifique (F.R.S./FNRS), Gosselies, Belgium.
Christoph DieterichSection of Bioinformatics and Systems Cardiology, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0001-9468-6311
Fund for Scientific Research · BEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosomal RNAs are decorated by numerous post-transcriptional modifications whose exact roles in ribosome biogenesis, function, and human pathophysiology remain largely unknown. Here, we report a targeted direct rRNA sequencing approach involving a substrate selection step and demonstrate its suitability to identify differential modification sites in combination with the JACUSA2 software. We compared JACUSA2 to other tools designed for RNA modification detection and show that JACUSA2 outperforms other software with regard to detection of base modifications such as methylation, acetylation and aminocarboxypropylation. To illustrate its widespread usability, we applied our method to a collection of CRISPR-Cas9 engineered colon carcinoma cells lacking specific enzymatic activities responsible for particular rRNA modifications and systematically compared them to isogenic wild-type RNAs. Besides the numerous 2'-O methylated riboses and pseudouridylated residues, our approach was suitable to reliably identify differential base methylation and acetylation events. Importantly, our method does not require any prior knowledge of modification sites or the need to train complex models. We further report for the first time detection of human rRNA modifications by direct RNA-sequencing on Flongle flow cells, the smallest-scale nanopore flow cell available to date. The use of these smaller flow cells reduces RNA input requirements, making our workflow suitable for the analysis of samples with limited availability and clinical work.

Indexed as

NanoporesRNAHumansRibosomesRNA Processing, Post-TranscriptionalRNA, RibosomalRNARNA, Ribosomalcytidine acetylationdirect RNA-seqnanoporeribosomal RNARNA methylationRNA modification

Identifiers

PMID37635368
PMCPMC10464549
OpenAlexW4386209536

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.