AAgAtlas

AAgAtlas compiles a curated catalog of human autoantigens to support research into autoantibody responses and the molecular mechanisms of autoimmune diseases.


Key Features:

  • Extensive Database: AAgAtlas 1.0 compiles data from over a thousand peer-reviewed publications cataloging 1126 autoantigens associated with 1071 distinct human diseases.
  • Functional Annotations and Literature Evidence: Records include gene functional annotations and supporting evidence extracted from the scientific literature.
  • Text-Mining and Manual Curation: Data collection employed automated text-mining techniques combined with meticulous manual curation to validate autoantigen–disease associations.

Scientific Applications:

  • Disease Mechanism Exploration: Enables investigation of specific autoantigens' roles in pathogenesis and disease progression.
  • Biomarker Discovery: Supports identification of candidate autoantigens for diagnostic or disease-monitoring biomarkers.
  • Therapeutic Target Identification: Facilitates nomination of autoantigens as targets for therapies aimed at modulating immune responses.
  • Cross-Disease Analysis: Allows comparative analyses to identify shared autoantigens and common pathways across multiple diseases.

Methodology:

Automated text-mining of peer-reviewed publications combined with manual curation to extract and validate autoantigen–disease associations.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
3/11/2021

Operations

Publications

Wang D, Zhang Y, Meng Q, Yu X. AAgAtlas 1.0: A Database of Human Autoantigens Extracted from Biomedical Literature. Methods in Molecular Biology. 2020. doi:10.1007/978-1-0716-0389-5_21. PMID:32162267.