Evidence map›Paper›PMID 42303988›Full record

ArticleNature communications2026

A comprehensive landscape of human organ N-glycoproteome.

Xiaoyu Hu, Tao Wang, Chao Qin, Yanggang Yuan, Suideng Qin, Hongwei Liang, Zhixin Tian

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

7 authors.

Xiaoyu HuSchool of Chemical Science & Engineering, Tongji University, Shanghai, China.
Tao WangDepartment of Thoracic Surgery, Nanjing Drum Tower Hospital, Medical School, Nanjing University, Nanjing, China.
Chao QinDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0002-3172-2394
Yanggang YuanDepartment of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0003-2764-9486
Suideng QinSchool of Chemical Science & Engineering, Tongji University, Shanghai, China.
Hongwei LiangState Key Laboratory of Technologies of Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Jiangsu Provincial Medical Innovation Center, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China. hwliang@nju.edu.cn.ORCID http://orcid.org/0000-0003-1086-3718
Zhixin TianSchool of Chemical Science & Engineering, Tongji University, Shanghai, China. zhixintian@tongji.edu.cn.ORCID http://orcid.org/0000-0002-2877-8282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N-glycosylation, as a common post-translational modification with complex structures, plays key roles in protein folding, cellular recognition and signaling pathways. State-of-the-art mass spectrometry-based N-glycoproteomics has enabled deep N-glycoproteome characterization of various human organs. However, a comprehensive N-glycoproteome landscape of human organs remains lacking. Here we present a systematic human N-glycoproteome atlas spanning 74 subjects across 18 organs/tissues with identification of 57,884 N-glycan structure-level and 23,863 monosaccharide composition-level intact N-glycopeptides on 7543 N-glycosites of 5062 N-glycoproteins. Tissue-specific N-glycosylation patterns and crosstalk between sialylation and fucosylation are observed. An organ classifier using multiple machine learning models on our N-glycopeptide dataset is trained. This atlas, complemented by a unified multi-software analysis framework, provides insights into organ-specific glycobiology and establishes a fundamental reference for understanding physiological N-glycosylation characteristics of human tissues.

Indexed as

GlycoproteinsProteomeGlycopeptidesGlycosylationHumansOrgan SpecificityPolysaccharidesProtein Processing, Post-TranslationalProteomicsGlycopeptidesGlycoproteinsPolysaccharidesProteome

Identifiers

PMID42303988
PMCPMC13434122

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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.