Evidence map›Paper›PMID 41732913›Full record

ArticleNucleic acids research2026

Metabolic isotopic labeling of (deoxy)ribose enables dual neutral loss scanning for profiling nucleic acid modifications.

Shao-Qin Rong, Zhi-Han Jin, Dong-Rui Yin, Jun Yao, Guo-Liang Xu, Ping Zhu, Hai Gao, Dan Zhou

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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0citing papers 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.

Shao-Qin RongShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 200032, China.
Zhi-Han JinShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 200032, China.
Dong-Rui YinShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 200032, China.
Jun YaoShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 200032, China.
Guo-Liang XuShanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 200032, China.
Ping ZhuGuangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510100, China.
Hai GaoShanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai 200237, China.
Dan ZhouCenter for Medical Research and Innovation, Shanghai Pudong Hospital, Institutes of Biomedical Sciences, Medical College of Fudan University, Shanghai 201399, China.ORCID 0000-0002-2306-3456

Funding

Guangdong Major Project of Basic and Applied Basic Research 2023B0303000005National Key R&D Program of China 2023YFA1800400National Natural Science Foundation of ChinaNational Natural Science Foundation of China 32000420National Natural Science Foundation of China 32370625
6 · The paper itself

Abstract

Modifications on DNA and RNA, even at trace levels, play critical roles in diverse biological processes, yet their accurate quantification and discovery of novel modified constituents remain challenging. Here, we present a metabolic (deoxy)ribose-labeling approach integrated with multiple reaction monitoring mass spectrometry (MRM-MS) to enable sensitive and untargeted detection of nucleic acid modifications. In this approach, [U-13C]glucose is used to generate an ∼1:1 ratio of ¹³C5-labeled and unlabeled deoxyribose moieties in vivo, followed by MRM-MS acquisition of neutral-loss transitions corresponding to both isotopic forms. This isotopic pairing facilitates the differentiation of endogenous nucleosides from contaminants and allows confident assignment of authentic nucleoside signals. Applying this method to mouse embryonic stem cells, we detected rare nucleoside species such as 5-formylcytosine and 5-carboxycytosine, present at frequencies as low as one in 106-107 bases. In contrast, peaks assigned to N6-methyladenine (6mA) lacked a labeled counterpart, suggesting that previously reported 6mA in mammalian DNA may arise from RNA misincorporation or artifacts introduced during the processing of isolated DNA. Analysis of formaldehyde-treated DNA revealed several previously unreported adducts, including N4-hydroxymethyl-5-hydroxymethylcytosine (4hm5hmC, or dihmC). Collectively, this (deoxy)ribose-labeling strategy provides a robust and sensitive platform for untargeted nucleoside profiling and the discovery of uncharacterized nucleic acid modifications.

Indexed as

DeoxyriboseDNAIsotope LabelingRNAAnimalsCarbon IsotopesEmbryonic Stem CellsMass SpectrometryMiceMouse Embryonic Stem CellsCarbon IsotopesDeoxyriboseDNARNA

Identifiers

PMID41732913
PMCPMC12956328

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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.