Evidence map›Paper›PMID 37024678›Full record

ArticleNature biotechnology2024

Quantitative analysis of tRNA abundance and modifications by nanopore RNA sequencing.

Morghan C Lucas, Leszek P Pryszcz, Rebeca Medina, Ivan Milenkovic, Noelia Camacho, Virginie Marchand, Yuri Motorin, Lluís Ribas de Pouplana, Eva Maria Novoa

Abstract read
In one paragraph

Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing 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

148 citing papers in PubMed.

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  20. tRNA modifications in viral replication.The Journal of biological chemistry · 2026
    Review

88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Morghan C Lucas *Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7654-9137
Leszek P Pryszcz *Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Rebeca MedinaCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Ivan MilenkovicCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain.
Noelia CamachoInstitute for Research in Biomedicine (IRB), Barcelona, Spain.
Virginie MarchandCNRS-Université de Lorraine, UAR2008 IBSLor/UMR7365 IMoPA, Nancy, France.ORCID http://orcid.org/0000-0002-8537-1139
Yuri MotorinCNRS-Université de Lorraine, UAR2008 IBSLor/UMR7365 IMoPA, Nancy, France.
Lluís Ribas de PouplanaInstitute for Research in Biomedicine (IRB), Barcelona, Spain.
Eva Maria NovoaCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain. eva.novoa@crg.eu.ORCID http://orcid.org/0000-0002-9367-6311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer RNAs (tRNAs) play a central role in protein translation. Studying them has been difficult in part because a simple method to simultaneously quantify their abundance and chemical modifications is lacking. Here we introduce Nano-tRNAseq, a nanopore-based approach to sequence native tRNA populations that provides quantitative estimates of both tRNA abundances and modification dynamics in a single experiment. We show that default nanopore sequencing settings discard the vast majority of tRNA reads, leading to poor sequencing yields and biased representations of tRNA abundances based on their transcript length. Re-processing of raw nanopore current intensity signals leads to a 12-fold increase in the number of recovered tRNA reads and enables recapitulation of accurate tRNA abundances. We then apply Nano-tRNAseq to Saccharomyces cerevisiae tRNA populations, revealing crosstalks and interdependencies between different tRNA modification types within the same molecule and changes in tRNA populations in response to oxidative stress.

Indexed as

NanoporesNanopore SequencingRNARNA, TransferSequence Analysis, RNARNARNA, Transfer

Identifiers

PMID37024678
PMCPMC10791586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.