Generating snoRNA-guided Programmable 2'- O -methylation

Area of Science:

• Molecular Biology
• RNA Biology
• Epigenetics

Background:

• Small nucleolar RNAs (snoRNAs) guide 2 -O-methylation (Nm) modifications essential for RNA processing.
• Current methods for mapping Nm sites, particularly on messenger RNAs (mRNAs), lack validation and consensus.
• A validated technique is needed to advance the study of Nm modifications and their roles in gene expression.

Purpose of the Study:

• To develop and validate a novel assay for quantifying 2 -O-methylation (Nm) at single nucleotide resolution.
• To investigate the potential of synthetic snoRNAs in guiding Nm modifications.
• To explore the impact of Nm modifications on gene expression, including mRNA abundance and translation efficiency.

Main Methods:

• Development and application of the RNase H-based Nm-VAQ assay for Nm quantification across RNA species.
• Optimization of the assay for low-abundance transcripts like mRNAs.
• Design and utilization of synthetic snoRNAs to guide Nm modifications in genetic knockout models and reporter assays.

Main Results:

• The Nm-VAQ assay successfully quantifies Nm modifications at single nucleotide resolution in rRNA, snRNA, and mRNA.
• Optimized assay enables study of Nm in low-abundance transcripts.
• Synthetic snoRNAs can be engineered to guide Nm to specific sites, rescue modifications in knockout models, and influence reporter gene expression (luciferase).

Conclusions:

• The RNase H-based Nm-VAQ assay provides a crucial validation tool for Nm mapping.
• Synthetic snoRNAs offer a powerful platform for studying and manipulating Nm modifications.
• Nm modifications, guided by snoRNAs, significantly impact gene expression by affecting mRNA abundance and translation efficiency.