RJunBase
RJunBase catalogs RNA splice junctions from RNA-seq data to enable comparative analysis of linear, back-splice, and fusion junctions across normal and cancerous human tissues.
Key Features:
- Data Integration: Integrates RNA sequencing (RNA-seq) data from 18,084 non-cancerous and 11,540 cancerous human tissue samples for junction discovery and comparison.
- Splice Junction Types: Records three junction types with definitions: linear junctions resulting from intron removal in multi-exon genes; back-splice junctions that connect the 3' end of an exon to the 5' end of a downstream exon; and fusion junctions where exons from different genes are joined.
- Database Content: The initial release catalogs 682,017 linear junctions, 225,949 back-splice junctions, and 34,733 fusion junctions.
- Visualization and Analysis: Provides detailed visualization of gene-level splicing patterns and junction-level expression profiles across tissue types.
Scientific Applications:
- Unannotated Junction Discovery: Identifies unannotated splice junctions and tumor-specific alterations to support molecular characterization of disease.
- Biomarker Discovery: Supports discovery of splicing-associated biomarkers for research in genomics and oncology.
- Neoepitope Assessment: Aids identification and assessment of neoepitopes relevant to cancer treatment.
Methodology:
Integration of RNA-seq data from 18,084 non-cancerous and 11,540 cancerous human tissue samples to identify and catalog linear, back-splice, and fusion splice junctions.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Li Q, Lai H, Li Y, Chen B, Chen S, Li Y, Huang Z, Meng Z, Wang P, Hu Z, Huang S. RJunBase: a database of RNA splice junctions in human normal and cancerous tissues. Nucleic Acids Research. 2020;49(D1):D201-D211. doi:10.1093/nar/gkaa1056. PMID:33179749. PMCID:PMC7779070.
DOI: 10.1093/nar/gkaa1056
PMID: 33179749
PMCID: PMC7779070
Funding: - Shanghai Science and Technology Innovation Action Plan: 20JC1419000
- National Natural Science Foundation of China: 81672779, 81872294, 82002500, 82072694