Evidence map›Paper›PMID 42444605›Full record

ArticleNucleic acids research2026

A nanogram-sensitive workflow for oligonucleotide mass spectrometry using ion-pair-free nanoflow HILIC and RNase benchmarking.

Yuyang Qi, Chengkang Li, Nur Yesiltac-Tosun, Jannick Schicktanz, Leona Rusling, Steffen Kaiser, Samuel Wein, Stefanie Kaiser

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuyang QiDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.
Chengkang LiDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.
Nur Yesiltac-TosunDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.
Jannick SchicktanzDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.
Leona RuslingDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.
Steffen KaiserMass Spectrometry Service Unit, Goethe-University Frankfurt, Max-von-Laue-Str. 9, Frankfurt (Main) 60438, Germany.ORCID 0000-0003-3224-7502
Samuel WeinApplied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen 72074, Germany.
Stefanie KaiserDepartment of Pharmaceutical Chemistry, Goethe University Frankfurt, Frankfurt (Main) 60438, Germany.

Funding

Deutsche Forschungsgemeinschaft 259130777-SFB 1177Deutsche Forschungsgemeinschaft 325871075-SFB 1309
6 · The paper itself

Abstract

RNA modifications regulate diverse cellular processes, yet comprehensive characterization of modified RNA sequences remains technically challenging. Mass spectrometry provides direct chemical information on RNA, but current oligonucleotide-based workflows typically require micrograms of RNA input and often rely on ion-pairing reagents for chromatographic separation, limiting their applicability to scarce or native RNA samples. Here, we establish a sensitive oligonucleotide mass spectrometry workflow that combines ion-pair-free nanoflow hydrophilic interaction liquid chromatography with systematic benchmarking of controlled RNA cleavage strategies. We compared RNase T1, RNase 4, and colicin E5 and evaluated how reaction conditions influence cleavage specificity, fragment length distribution, and terminal chemistries of RNA hydrolysates. The resulting workflow enables robust LC-MS/MS analysis using standard MS-compatible buffers and supports confident oligonucleotide identification through NucleicAcidSearchEngine (NASE) database searching. Using this approach, we achieved high sequence coverage from nanogram-scale RNA inputs, enabling modification analysis of 25-50 ng native yeast tRNAPhe and sequence verification of 250 ng synthetic mRNA. Together, this work establishes a sensitive and broadly applicable platform for oligonucleotide mass spectrometry and provides practical guidance for RNase selection and digestion strategies. The method expands the applicability of RNA MS to low-input samples and supports future studies of RNA sequence and modification landscapes.

Indexed as

Liquid Chromatography-Mass SpectrometryOligonucleotidesRibonucleasesTandem Mass SpectrometryChromatography, LiquidHydrophobic and Hydrophilic InteractionsNanotechnologyRibonuclease T1RNA CleavageOligonucleotidesRibonucleasesRibonuclease T1

Identifiers

PMID42444605
PMCPMC13366003

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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.