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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Related Experiment Video

Updated: Jun 6, 2025

DNAzyme-dependent Analysis of rRNA 2&#8217;-O-Methylation
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DNAzyme-dependent Analysis of rRNA 2’-O-Methylation

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Generating snoRNA-guided Programmable 2'- O -methylation.

Justin Zhao, Eric Cockman, Xinhe Yin

    Biorxiv : the Preprint Server for Biology
    |November 28, 2024
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    Summary
    This summary is machine-generated.

    This study introduces a new assay to validate 2'-O-methylation (Nm) sites, crucial for RNA function. Synthetic small nucleolar RNAs (snoRNAs) can guide these modifications, impacting gene expression and translation efficiency.

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    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.