ArticleNucleic acids research2017
AAgAtlas 1.0: a human autoantigen database.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Serum autoantibodyome reveals that healthy individuals share common autoantibodies.Cell reports · 2022Pooled it
- The cellular landscape of druggable RNA-binding proteins.Nature reviews. Drug discovery · 2026Review
- MAKAAO, an open access resource linking human autoantibodies and autoimmune diseases.Communications medicine · 2026Article
- Cell-based therapies of autoimmune diseases in the context of artificial intelligence development.Clinical and experimental medicine · 2026Review
- Precision Proteomic Profiling of Systemic Lupus Erythematosus-Correlating Disease Activity and Complement Levels with Clinical Phenotypes.Biomedicines · 2026Article
- SPAID: a comprehensive database for disease-specific autoantigens in autoimmune disorders.Advanced biotechnology · 2026Article
- Associations of plasma proteomic and polygenic profiling with incident psoriasis risk: a prospective cohort study.Journal of global health · 2026Article
- Toward Precision Health in Autoimmunity and Immune-Related Adverse Events: The Autoantibody Reactome, Spatial Omics, and Multimodal Data Integration.Biomedicines · 2026Article
- HLA class I-naturally presented synovial tissue peptides are recognized by CD8+ T lymphocytes from rheumatoid arthritis patients.Frontiers in immunology · 2026Article
- Molecular Mimicry BetweenInternational journal of molecular sciences · 2025Article
- Deciphering Autoantigen Signatures in Chikungunya Virus Infection Using Machine Learning: A Data-Driven Approach to Understand Host Immunity.Current microbiology · 2025Article
- Autoantibody profiling using microarray identifies biomarkers associated with chemoimmunotherapy efficacy and immune-related adverse events in lung cancer patients.Clinical and experimental medicine · 2025Article
- Similarity to Self-Antigens Shapes Epitope Recognition from Viruses Under Autoimmune and Infectious Disease.International journal of molecular sciences · 2025Article
- RNA sensing at the crossroads of autoimmunity and autoinflammation.RNA (New York, N.Y.) · 2025Review
- Respiratory viruses and systemic lupus erythematosus: Biomarkers and mechanisms leading to autoimmunity.Journal of biosciences · 2025Article
- The Circulating Proteome─Technological Developments, Current Challenges, and Future Trends.Journal of proteome research · 2024Article
- A quantitative and site-specific atlas of the citrullinome reveals widespread existence of citrullination and insights into PADI4 substrates.Nature structural & molecular biology · 2024Article
- High heterogeneity of cross-reactive immunoglobulins in multiple sclerosis presumes combining of B-cell epitopes for diagnostics: a case-control study.Frontiers in immunology · 2024Article
- DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine.Journal of chemical information and modeling · 2023Article
- Unbiased discovery of autoantibodies associated with severe COVID-19 via genome-scale self-assembled DNA-barcoded protein libraries.Nature biomedical engineering · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.