Vicinal: a method for the determination of ncRNA ends using chimeric reads from RNA-seq experiments

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Non-coding RNAs (ncRNAs) are crucial for cellular functions, requiring accurate sequence and structure determination.
• RNA 3' and 5' end stem-loops can cause self-priming during cDNA synthesis, leading to chimeric RNA-cDNA fragments.
• These chimeric fragments are detectable in high-throughput RNA sequencing (RNA-seq) data.

Purpose of the Study:

• To demonstrate that chimeric reads contain valuable information for mapping ncRNA boundaries.
• To develop a bioinformatic method for precise ncRNA end mapping.
• To provide a resource for identifying uncharacterized ncRNAs.

Main Methods:

• Utilized the Gubler-Hoffman method for converting chimeric fragments to cDNA.
• Developed the Vicinal bioinformatic tool for analyzing chimeric reads.
• Applied Vicinal to over 100 RNA-seq datasets from fruitfly, mouse, and human.

Main Results:

• Chimeric reads, particularly from 5' end stem-loops, accurately indicate ncRNA boundaries.
• The Vicinal tool precisely mapped the ends of numerous ncRNAs across species.
• Analysis of 100+ RNA-seq datasets identified novel ncRNA boundary information.

Conclusions:

• Chimeric reads in RNA-seq are a valuable source for determining ncRNA ends.
• The Vicinal method offers a robust approach for precise ncRNA boundary mapping.
• This tool facilitates the study of structure and function for uncharacterized ncRNAs.