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.

PMID: 36399497
PMCID: PMC9825543
Funding: - Tenure Track Clinician Scientist Fellowship: MR/N008324/1 - BrightFocus Foundation: A2021009F - Fundación Séneca: 21230/PD/19 - Science and Technology Agency, Séneca Foundation: 00007/COVI/20 - National Institutes of Health: R01MH123567

Links