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<p>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 <i>TSniffer</i>, a novel tool to analyze RNA editing in RNA-sequencing datasets. <i>TSniffer</i> 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.</p>

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TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月19日

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  • Maike Herrmann,
  • Yvonne Krebs,
  • Francisco M. Acosta,
  • Sebastian Parusel,
  • Oliver Siering,
  • Felix G. M. Andres,
  • Biruhalem Taye,
  • Csaba Miskey,
  • Christian K. Pfaller

摘要

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.