Evidence map›Paper›PMID 41605919›Full record

ArticleNature communications2026

A versatile platform for sequential glyco-, phospho-, and proteomics with multi-PTMs integration.

Xuefang Dong, Fangfang Xiong, Guangzhu Du, Yunfei Yang, Cheng Chen, Yun Cui, Xinlian Ding, Xiuling Li, Yidong Shen, Xinmiao Liang

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

10 authors.

Xuefang Dong *State Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.
Fangfang Xiong *State Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.
Guangzhu DuState Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.
Yunfei YangDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
Cheng ChenState Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.
Yun CuiGanjiang Chinese Medicine Innovation Center, Nanchang, P. R. China.
Xinlian DingState Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China.
Xiuling LiState Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China. lixiuling@dicp.ac.cn.ORCID http://orcid.org/0000-0002-6016-9516
Yidong ShenDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China. yidong.shen@sibcb.ac.cn.ORCID http://orcid.org/0000-0002-2841-7233
Xinmiao LiangState Key Laboratory of Phytochemistry and Natural Medicines, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, P. R. China. liangxm@dicp.ac.cn.ORCID http://orcid.org/0000-0003-4394-4274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial multi-omic analysis of proteome, phosphoproteome, and glycoproteome is pivotal for elucidating drug mechanisms, discovering biomarkers, and identifying therapeutic targets. However, simultaneous multi-level post-translational modifications (PTMs) analysis via parallel processing is hampered by laborious, time-consuming procedures and inconsistent reproducibility. We present an integrated Multi-level PTMs-Proteomic Enrichment platform (MuPPE), enabling sequential glycoproteome, phosphoproteome, and proteome analysis from single biological samples. It combines protein aggregation capture with on-bead digestion and tandem enrichment, achieving superior reproducibility (CV 12.3% vs 17.6% conventional methods) while reducing processing time by 87.5% (4 hours vs 32 hours). MuPPE also enhances coverage, identifying more serum glycopeptides and brain phosphopeptides than other platforms. Applied to aging mouse cohorts, the platform uncovers tissue-specific PTMs remodeling and brain barrier dysfunction. For arsenic mechanisms of action, MuPPE reveals drug-induced PTMs crosstalk between glycosylation and phosphorylation-driven pathway regulation. MuPPE offers a transformative tool for advancing multi-omics insights across precision medicine and disease research.

Indexed as

PhosphoproteinsProtein Processing, Post-TranslationalProteomeProteomicsAnimalsBrainGlycopeptidesGlycoproteinsGlycosylationHumansMiceMultiomicsPhosphopeptidesPhosphorylationReproducibility of ResultsGlycopeptidesGlycoproteinsPhosphopeptidesPhosphoproteinsProteome

Identifiers

PMID41605919
PMCPMC12852849

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LicenceCC BY
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Registered trials

None linked

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.