TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data
RNA editing by adenosine deaminases acting on RNA (ADARs) is an essential cellular process performed by three enzymes in mammals: ADAR1-p150, ADAR1-p110, and ADAR2, demonstrating different target specificity and selectivity. Here we describe TSniffer, a novel tool to analyze RNA editing in RNA-sequencing datasets. TSniffer uses a rolling window approach to identify editing sites and operates in two modes allowing identification and quantification in single samples, and quantification in predefined regions across multiple datasets. Using wild type and ADAR-deficient datasets, we provide strategies for identification of ADAR editing sites and verify the accuracy and biological relevance of our findings.
Authors
- Oliver Siering
- Christian K. Pfaller (ORCID: https://orcid.org/0000-0003-3302-0780)
- Maike Herrmann (ORCID: https://orcid.org/0000-0002-0832-3539)
- Csaba Miskey (ORCID: https://orcid.org/0000-0002-7566-9556)
- Yvonne Krebs (ORCID: https://orcid.org/0000-0001-9417-5642)
- Francisco M. Acosta (ORCID: https://orcid.org/0009-0003-4896-4036)
- Sebastian Parusel
- Biruhalem Taye
- Felix G. M. Andres
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- Paul Ehrlich Institut (DE)
Publication Details
- Journal
- Genome biology
- Published
- 2026-01-19
- DOI
- https://doi.org/10.1186/s13059-026-03941-2
- Citations
- 1
- Primary Topic
- RNA regulation and disease
- Type
- article
- Field-Weighted Citation Impact
- 22.24