In silico and experimental approaches for validating RNA editing events in transcriptomes

Area of Science:

• Molecular Biology
• Virology
• Bioinformatics

Background:

• SARS-CoV-2, an RNA virus, undergoes RNA editing within host cells.
• Traditional variant calling pipelines may misidentify false-positive RNA editing sites.
• Accurate identification of RNA editing is crucial for understanding viral evolution and pathogenesis.

Purpose of the Study:

• To present robust in silico and experimental approaches for validating RNA editing events in SARS-CoV-2.
• To address the limitations of conventional methods in detecting true RNA editing sites.
• To enhance the reliability of RNA editing analysis in RNA viruses.

Main Methods:

• Strand-specific sequencing to determine RNA molecule orientation.
• Analysis of hyperedited reads to identify unusual editing patterns.
• Linkage analysis to assess the co-occurrence of editing events.
• Orthogonal validation using mass spectrometry.
• Utilizing Adenosine Deaminase Acting on RNA (ADAR)-deficient host cells.

Main Results:

• Proposed methods provide enhanced validation for RNA editing events.
• Demonstrated the necessity of supplementary techniques beyond standard variant calling.
• Highlighted potential for reducing false-positive RNA editing site identification.

Conclusions:

• A multi-pronged approach combining computational and experimental strategies is essential for authentic RNA editing validation in SARS-CoV-2.
• These validated methods can improve the accuracy of RNA editing identification in future studies, particularly for RNA viruses.
• Enhanced RNA editing detection contributes to a deeper understanding of viral RNA biology.