Computational limitations and future needs to unravel the full potential of 2’-O-methylation and C/D box snoRNAs
This review evaluates the current state of C/D snoRNA databases and prediction tools in relation to 2’-O-methylation (2'-O-Me). It highlights the limitations of existing resources in accurately annotating and predicting guide snoRNAs, particularly for newly identified 2’-O-Me sites. We emphasiz...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | RNA Biology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15476286.2025.2506712 |
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| Summary: | This review evaluates the current state of C/D snoRNA databases and prediction tools in relation to 2’-O-methylation (2'-O-Me). It highlights the limitations of existing resources in accurately annotating and predicting guide snoRNAs, particularly for newly identified 2’-O-Me sites. We emphasize the need for advanced computational approaches specifically tailored to 2’-O-Me to enable the discovery and functional analysis of snoRNAs. Given the growing importance of 2’-O-Me in areas such as cancer epitranscriptomics, ribosome biogenesis, and heterogeneity, existing tools remain inadequate. As 2’-O-Me gains recognition as a potential biomarker and therapeutic target, more sophisticated methods are urgently needed to improve snoRNA annotation and prediction, facilitating biomedical advancements. |
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| ISSN: | 1547-6286 1555-8584 |