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PXD061704-1

PXD061704 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleToward standardized epitranscriptome analytics: An inter-laboratory comparison of mass spectrometric detection and quantification of modified ribonucleosides in human RNA
DescriptionThe 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 all modified ribonucleosides in a sample 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. Here we report a multi-laboratory effort to optimize and standardize the workflow for LC-MS/MS RNA modification analysis. We compared protocols for sample shipment, RNA digestion, LC-MS/MS analysis, and data processing among three laboratories working with the same total RNA samples.
HostingRepositoryPRIDE
AnnounceDate2025-09-12
AnnouncementXMLSubmission_2025-09-12_08:25:06.457.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChi Kong Chan
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
Instrument6460 Triple Quadrupole LC/MS; 6495C Triple Quadrupole LC/MS; TSQ Quantiva
Dataset History
RevisionDatetimeStatusChangeLog Entry
02025-03-11 08:02:37ID requested
12025-09-12 08:25:06announced
Publication List
10.1093/NAR/GKAF895;
Keyword List
submitter keyword: analytics,RNome, mass spectrometry, epitranscriptome, RNA
Contact List
Peter C Dedon
contact affiliationUnderwood-Prescott Professor, Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 56-731 Cambridge, MA 02139-4307
contact emailpcdedon@mit.edu
lab head
Chi Kong Chan
contact affiliationDepartment of Biological Engineering, Massachusetts Institute of Technology
contact emailmckchan@mit.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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