Challenges in identifying mRNA transcript starts and ends from long-read sequencing data

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Long-read sequencing (LRS) promises comprehensive analysis of full-length mRNA isoforms.
• Current LRS applications face challenges like low coverage, high error rates, and computational pipeline limitations.
• Accurate characterization of mRNA terminal ends (transcription start and end sites) is critical but underexplored in LRS.

Purpose of the Study:

• To identify and quantify challenges in assessing mRNA terminal ends using LRS technologies.
• To evaluate the impact of these challenges on biological interpretations of LRS data.
• To review experimental and computational advances for improving terminal end characterization.

Main Methods:

• Analysis of LRS data focusing on read inconsistencies at gene termini.
• Review of existing and emerging experimental techniques for terminal end determination.
• Evaluation of computational strategies for accurate quantification of mRNA start and end sites.

Main Results:

• LRS reads often fail to accurately represent annotated or empirically derived mRNA start and end sites.
• Inconsistencies in LRS read coordinates pose significant challenges for terminal end analysis.
• Recent advances show promise in alleviating these issues, with specific use cases identified.

Conclusions:

• Precise characterization of mRNA terminal ends with LRS is essential for complete molecular delineation and understanding regulatory roles.
• Addressing LRS limitations in terminal end analysis is crucial for advancing RNA biology.
• Future developments are needed to improve the accuracy and reliability of LRS-based terminal end determination.