FibROAD

FibROAD integrates literature-derived evidence and multi-omics datasets to support identification of genes, epigenetic marks, and molecular mechanisms involved in fibrosis across organs and species.

Key Features:

• Evidence Integration: Integrates evidence from extensive literature curation and multi-omics datasets to support fibrosis-related analyses.
• Comprehensive Gene Database: Contains 232 strong evidence-based fibrosis-related genes (FRGs) identified through analysis of 909 PubMed publications.
• Extensive Multi-Omics Data: Aggregates data from over 4,000 samples including RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq, MeDIP-seq, and MBD-seq.
• Cross-Organ and Cross-Species Coverage: Includes studies from 17 organs across five species to enable comparative analyses of fibrotic processes.
• Research Applications: Supports integrative analyses to identify key genetic and epigenetic factors and candidate pro-fibrotic genes relevant to organ-specific and shared fibrosis mechanisms.

Scientific Applications:

• Pathological process exploration: Enables exploration of fibrosis pathological processes across multiple organs and species using combined literature and multi-omics evidence.
• Candidate gene discovery: Facilitates identification of potential pro-fibrotic candidate genes informed by cross-study and cross-organ evidence.
• Molecular mechanism analysis: Supports integrative analyses to reveal molecular pathways and epigenetic regulation underlying fibrosis.
• Therapeutic and diagnostic research: Provides evidence for prioritizing genetic and epigenetic targets for development of targeted therapies and diagnostic markers.

Methodology:

Curation and analysis of 909 PubMed publications and integration of multi-omics datasets (RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq, MeDIP-seq, MBD-seq) from over 4,000 samples across 17 organs and five species.