IntroVerse
IntroVerse profiles intron usage across human tissues by cataloging annotated introns and novel splice junctions to characterize splicing variation relevant to rare and complex diseases.
Key Features:
- Extensive catalogue: Contains 332,571 annotated introns derived from analysis of 17,510 human control RNA samples across 54 tissues from the Genotype-Tissue Expression (GTEx) Consortium.
- Novel junction identification: Compiles 4,679,474 novel splice junctions across 32,669 genes detected in RNA-sequencing data.
- Hierarchical mapping: Assigns each novel junction to a specific annotated intron to enable identification of novel transcripts from known genes and to examine tissue-specific usage patterns.
- Assessment of splicing noise: Enables comparison of canonical and non-canonical splicing events to distinguish background splicing variability from potential mis-splicing in disease states.
Scientific Applications:
- Disease research: Identification of mis-spliced introns to investigate molecular mechanisms of diseases associated with splicing errors.
- Transcriptomics: Exploration of novel transcripts and their tissue-specific expression patterns to study gene regulation and function.
- Genomic studies: Support for analyses of the impact of genetic variation on RNA processing across tissues using the comprehensive junction and intron dataset.
Methodology:
Analysis of Genotype-Tissue Expression (GTEx) RNA-sequencing data (17,510 control samples across 54 tissues), detection of splice junctions in RNA-seq, and assignment of novel junctions to annotated introns to produce a hierarchical mapping.
Topics
Details
- License:
- Other
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 2/6/2023
- Last Updated:
- 11/24/2024
Operations
Publications
García-Ruiz S, Gustavsson EK, Zhang D, Reynolds RH, Chen Z, Fairbrother-Browne A, Gil-Martínez AL, Botia JA, Collado-Torres L, Ryten M. IntroVerse: a comprehensive database of introns across human tissues. Nucleic Acids Research. 2022;51(D1):D167-D178. doi:10.1093/nar/gkac1056. PMID:36399497. PMCID:PMC9825543.