Evidence map›Paper›PMID 40966502›Full record

ArticleNucleic acids research2025

Toward standardized epitranscriptome analytics: an inter-laboratory comparison of mass spectrometric detection and quantification of modified ribonucleosides in human RNA.

Martin Hengesbach, Chi-Kong Chan, Tulsi Bhandari, Alan Bruzel, Michael S DeMott, Ganna Podoprygorina, Guangxin Sun, Ellen Tabeling, Vivian G Cheung, Peter C Dedon and 2 more

Abstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2025. 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
–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

14 citing papers in PubMed.

  1. Article
  2. Mechanistic Insights Into the Oxidative Reactivity of 2-Selenouridine in tRNA.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Epitranscriptomic Analysis of A-to-I RNA Editing and mInternational journal of molecular sciences · 2026
    Review
  8. Article
  9. Review
  10. Review
  11. Chalcogen-modified Nucleic Acid Analogues.Current medicinal chemistry · 2026
    Article
  12. Article
  13. Review
  14. Article
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

12 authors.

Martin HengesbachInstitute for Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, 55128, Germany.ORCID 0000-0001-9414-1602
Chi-Kong ChanDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0001-7963-8725
Tulsi BhandariDepartment of Chemistry, Rieveschl Laboratories for Mass Spectrometry, University of Cincinnati, Cincinnati, OH 45221, United States.ORCID 0009-0000-2279-9544
Alan BruzelDepartment of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI 48109, United States.
Michael S DeMottDepartments of Molecular Biology, Cell Biology and Biochemistry and Pediatrics, Brown University, Providence, RI 02903, United States.
Ganna PodoprygorinaInstitute for Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, 55128, Germany.
Guangxin SunDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Ellen TabelingDepartment of Chemistry, Rieveschl Laboratories for Mass Spectrometry, University of Cincinnati, Cincinnati, OH 45221, United States.
Vivian G CheungDepartment of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI 48109, United States.
Peter C DedonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.ORCID 0000-0003-0011-3067
Mark HelmInstitute for Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, 55128, Germany.ORCID 0000-0002-0154-0928
Patrick A LimbachDepartment of Chemistry, Rieveschl Laboratories for Mass Spectrometry, University of Cincinnati, Cincinnati, OH 45221, United States.ORCID 0000-0003-1526-4546

Funding

Warren Alpert Foundation
6 · The paper itself

Abstract

The human RNome comprises all forms of RNA and the 50 + chemical structures-the epitranscriptome-that modify them. Understanding the diverse functions of RNA modifications in regulating gene expression and cell phenotype requires technologies such as RNA sequencing-based modification mapping and mass spectrometry-based quantification of modified ribonucleosides. Liquid chromatography-coupled tandem quadrupole mass spectrometry (LC-MS/MS) is the gold standard for detecting and quantifying modified ribonucleosides with accuracy and precision. However, variations in RNA isolation, processing, and LC-MS/MS analysis have hindered reproducibility across laboratories, which is essential for accurate quantification of RNA modifications. As guidance toward harmonization, we report a multi-laboratory comparison of workflows for LC-MS/MS RNA modification analysis. We compared protocols for sample shipment, RNA hydrolysis, LC-MS/MS analysis, and data processing among three laboratories working with the same total RNA samples. We detected and quantified 17 modifications consistently across protocols and operators, with another 7 that were sensitive to experimental conditions, reagent contamination, and ribonucleoside instability, leading to poor precision among laboratories. Agreement among the three labs was strong, with coefficients of variation of 20% and 10% for relative and absolute quantification, respectively. These findings establish a robust and readily adoptable epitranscriptome analytical platform that enables reliable comparisons across laboratories.

Indexed as

RibonucleosidesRNARNA Processing, Post-TranscriptionalTandem Mass SpectrometryTranscriptomeChromatography, LiquidHumansLaboratoriesReproducibility of ResultsSequence Analysis, RNARibonucleosidesRNA

Identifiers

PMID40966502
PMCPMC12445667

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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.