Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

AAgAtlas

General information

URL: http://biokb.ncpsb.org/aagatlas/
Full name: Human Autoantigen Database
Description: AAgAtlas database 1.0 provides a user-friendly interface to conveniently browse, retrieve and download the list of autoantigens and their associated diseases.
Year founded: 2017
Last update: 2017-01-01
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Center for Protein Sciences
Address: State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center)
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Xiaobo Yu
Contact email (PI/Helpdesk): xiaobo.yu@hotmail.com

Publications

32162267
AAgAtlas 1.0: A Database of Human Autoantigens Extracted from Biomedical Literature. [PMID: 32162267]
Dan Wang, Yupeng Zhang, Qing Meng, Xiaobo Yu

Autoantibodies are antibodies against host self-proteins (autoantigens), which play significant roles in homeostasis maintenance and diseases with autoimmune disorders. Numerous papers were published in the past decade on the identification of human autoantigens in different human diseases. However, there is no consensus collection with all the reported autoantigens yet. To address this need, previously we developed a human autoantigen database, AAgAtlas 1.0, by text-mining and manual curation, which collects 1126 autoantigens associated with 1071 human diseases. AAgAtlas 1.0 provides a user-friendly interface to conveniently browse, retrieve, and download human autoantigen genes, their functional annotation, related diseases, and the evidence from the literature. AAgAtlas is freely available online http://biokb.ncpsb.org/aagatlas/ . In this chapter, we make an introduction and provide a guide to the users of AAgAtlas 1.0 database.

Methods Mol. Biol.. 2020:2131() | 2 Citations (from Europe PMC, 2025-12-06)
27924021
AAgAtlas 1.0: a human autoantigen database. [PMID: 27924021]
Wang D, Yang L, Zhang P, LaBaer J, Hermjakob H, Li D, Yu X.

Autoantibodies refer to antibodies that target self-antigens, which can play pivotal roles in maintaining homeostasis, distinguishing normal from tumor tissue and trigger autoimmune diseases. In the last three decades, tremendous efforts have been devoted to elucidate the generation, evolution and functions of autoantibodies, as well as their target autoantigens. However, reports of these countless previously identified autoantigens are randomly dispersed in the literature. Here, we constructed an AAgAtlas database 1.0 using text-mining and manual curation. We extracted 45 830 autoantigen-related abstracts and 94 313 sentences from PubMed using the keywords of either 'autoantigen' or 'autoantibody' or their lexical variants, which were further refined to 25 520 abstracts, 43 253 sentences and 3984 candidates by our bio-entity recognizer based on the Protein Ontology. Finally, we identified 1126 genes as human autoantigens and 1071 related human diseases, with which we constructed a human autoantigen database (AAgAtlas database 1.0). The database provides a user-friendly interface to conveniently browse, retrieve and download human autoantigens as well as their associated diseases. The database is freely accessible at http://biokb.ncpsb.org/aagatlas/ We believe this database will be a valuable resource to track and understand human autoantigens as well as to investigate their functions in basic and translational research. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2017:45(D1) | 40 Citations (from Europe PMC, 2025-12-06)

Ranking

All databases:
2442/6895 (64.598%)
Health and medicine:
609/1738 (65.017%)
Literature:
224/577 (61.352%)
2442
Total Rank
39
Citations
4.875
z-index

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Record metadata

Created on: 2017-02-17
Curated by:
Yue Qi [2023-09-13]
Dong Zou [2020-10-28]
[2018-11-29]
[2018-11-28]
Dong Zou [2018-03-08]
Lina Ma [2017-06-15]
Shixiang Sun [2017-02-17]