RABC: Rheumatoid Arthritis Bioinformatics Center

Area of Science:

• Bioinformatics
• Genomics
• Rheumatology

Background:

• Sequencing technologies have accelerated the generation of multi-omics data for rheumatoid arthritis (RA).
• A centralized, comprehensive database for RA multi-omics data is currently lacking.
• Scattered data hinders systematic analysis and understanding of RA pathogenesis.

Purpose of the Study:

• To develop the Rheumatoid Arthritis Bioinformatics Center (RABC), the first multi-omics data resource platform for RA.
• To consolidate and classify diverse RA-related multi-omics datasets.
• To provide a user-friendly interface for data access and analysis.

Main Methods:

• Collected and curated 175 multi-omics sample sets (transcriptome, epigenome, genome, proteome).
• Integrated large-scale omics data including differentially expressed genes (DEGs), microRNAs (DEMs), DNA methylation (DNAm) genes, pathways, gene ontology (GO) terms, SNPs, eQTLs, m6A-SNPs, and meta-mQTLs.
• Incorporated prior knowledge on RA molecular markers from public databases and literature data from PubMed.

Main Results:

• Established RABC (http://www.onethird-lab.com/RABC/), a comprehensive data hub for RA.
• RABC houses extensive multi-omics data, including 175,209 DEGs, 105 DEMs, 18,464 DNAm genes, and millions of other molecular features.
• The platform offers user-friendly browsing, searching, downloading, and data visualization functionalities.

Conclusions:

• RABC serves as a valuable, centralized resource for rheumatoid arthritis research.
• The platform facilitates the exploration and analysis of multi-omics data to advance RA understanding.
• RABC is expected to significantly contribute to the study of RA pathogenesis and molecular mechanisms.