Evidence map›Paper›PMID 42702608›Full record

ArticleNature communications2026

Quantitative RNA modification mapping by mass spectrometry with isobaric tags and nucleobase fragment analysis.

Junzhou Wu, Jingjing Sun, Yifeng Yuan, Shiuan Nee Goh, Hazel Chay, Dwijapriya, Valérie de Crécy-Lagard, Peter C Dedon

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

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.

Junzhou Wu *Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. junzhou.wu@smart.mit.edu.
Jingjing Sun *Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6892-8177
Yifeng YuanDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-9549-2698
Shiuan Nee GohFood, Chemical and Biotechnology Cluster, Singapore Institute of Technology, Singapore, Singapore.
Hazel ChayAntimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore.
DwijapriyaAntimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore.
Valérie de Crécy-LagardDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-9955-3785
Peter C DedonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. pcdedon@mit.edu.ORCID http://orcid.org/0000-0003-0011-3067

Funding

Linking gene and function through comparative genomic and experimental approachesR35GM156215 · NIGMS · UNIVERSITY OF FLORIDA · PI Valerie A de Crecy-Lagard · 2025 to 2026
$1.3M
Agilent Technologies ACT-UR #4762Agilent Technologies ACT-UR #5012National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF-CG2025-CG02-IG2-001005NIGMS NIH HHS R35 GM156215Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) Early Postdoc.Mobility 2018-02-059U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM156215
6 · The paper itself

Abstract

RNA modifications regulate RNA stability, translation, stress responses, and disease processes, yet their function remains poorly understood due to technical limitations in sequence analysis. Here, we present an RNA-specific isobaric tandem mass tagging (RMT) platform for omic-scale quantitative mapping of RNA modifications. The platform combines RNA-specific tags adapted from proteomics with an end-to-end workflow spanning sample preparation through data processing. Validation using synthetic oligonucleotides and total tRNA from Pseudomonas aeruginosa yielded reproducible quantification, with coefficients of variation below 5%. Together with nucleobase fragment analysis, we identified and quantified 24 RNA modifications in PA14 tRNAs, including previously undescribed m

Indexed as

Pseudomonas aeruginosaRNA, BacterialRNA Processing, Post-TranscriptionalRNA, TransferTandem Mass SpectrometryMass SpectrometryProteomicsRNA, BacterialRNA, Transfer

Identifiers

PMID42702608
PMCPMC13547223

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.