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RABC: Rheumatoid Arthritis Bioinformatics Center.

Haiyan Chen1,2, Jing Xu1,2, Siyu Wei1,2

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Nucleic Acids Research
|October 16, 2022
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Summary
This summary is machine-generated.

The Rheumatoid Arthritis Bioinformatics Center (RABC) is a new data hub for rheumatoid arthritis multi-omics data. It offers a comprehensive resource for researchers studying RA molecular mechanisms.

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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.