PhOxi-seq Detects Enzyme-Dependent m²G in Multiple RNA Types

Area of Science:

• Molecular Biology
• Genomics
• Biochemistry

Background:

• RNA modifications are crucial for RNA function and are implicated in human diseases.
• Accurate and sensitive technologies for detecting RNA modifications across the transcriptome are lacking.
• N2-methylguanosine (m2G) is an important RNA modification, but its sites are difficult to identify comprehensively.

Purpose of the Study:

• To optimize the PhOxi-seq method for enhanced selectivity and sensitivity in detecting m2G sites.
• To develop a novel bioinformatic pipeline for analyzing PhOxi-seq data.
• To identify enzyme-dependent m2G modification sites across the human transcriptome, including THUMPD3-dependent and independent sites.

Main Methods:

• Optimization of the PhOxi-seq workflow for improved performance.
• Development and application of a novel bioinformatic pipeline for m2G site detection.
• Application of the optimized method to a human cancer cell line to map m2G sites.

Main Results:

• An optimized PhOxi-seq workflow coupled with a new bioinformatic pipeline was established.
• The method successfully detected enzyme-dependent m2G sites across multiple RNA classes.
• A database of potential THUMPD3-dependent and non-THUMPD3 controlled m2G sites was generated.

Conclusions:

• The optimized PhOxi-seq method provides a sensitive and selective approach for transcriptome-wide m2G site detection.
• This study presents a valuable resource of potential m2G sites, facilitating further research into RNA modification biology.
• The findings contribute to understanding the role of m2G modifications in RNA processing and human pathology.