Evidence map›Paper›PMID 39543833›Full record

ReviewFEBS letters2025

High-throughput detection of RNA modifications at single base resolution.

Keren Ron, Joshua Kahn, Nofar Malka-Tunitsky, Aldema Sas-Chen

Abstract readReview
In one paragraph

Review in FEBS letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

4 authors.

Keren RonThe Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.
Joshua KahnThe Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.
Nofar Malka-TunitskyThe Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.
Aldema Sas-ChenThe Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.ORCID 0000-0002-0347-6173

Funding

Azrieli FoundationFederation of European Biochemical SocietiesIsrael Cancer Association 20230027Israel Science Foundation 1260/23
6 · The paper itself

Abstract

RNA is modified by > 170 chemical modifications that affect its structure and function. Accordingly, RNA modifications have been implicated in regulation of gene expression and cellular outcomes in a variety of species spanning the phylogenetic tree. The study of RNA modifications is accelerated by generation of high-throughput methods for detecting RNA modifications at single base resolution. Here, we review recent advancement in next generation sequencing based approaches for detection of 14 distinct RNA modifications present in rRNA, tRNA and mRNA. We further outline the molecular and computational principles underlying currently available methods.

Indexed as

High-Throughput Nucleotide SequencingRNARNA Processing, Post-TranscriptionalAnimalsHumansRNA, MessengerRNA, RibosomalRNA, TransferSequence Analysis, RNARNARNA, MessengerRNA, RibosomalRNA, Transferepitranscriptomemass‐spectrometrynanoporenext‐generation sequencingRNA modifications

Identifiers

PMID39543833
PMCPMC11726149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.