Quantification of co-transcriptional splicing from RNA-Seq data

Area of Science:

• Molecular Biology
• Genetics
• Bioinformatics

Background:

• Gene expression involves RNA processing events like splicing, capping, and polyadenylation.
• Most RNA processing, including pre-mRNA splicing, occurs co-transcriptionally while RNA is synthesized.
• Discrepancies exist in studies measuring co-transcriptional splicing using RNA sequencing.

Purpose of the Study:

• To compare four distinct strategies for analyzing and quantifying co-transcriptional splicing.
• To identify technical requirements for high-confidence co-transcriptional splicing detection.
• To provide guidelines for designing nascent RNA-Seq experiments.

Main Methods:

• Reanalysis of two nascent RNA-Seq datasets from the same species but different cell types and RNA isolation procedures.
• Comparison of four different computational strategies for analyzing co-transcriptional splicing.
• Evaluation of parameters such as data type (nascent RNA-Seq vs. mRNA-Seq), biological replicates, polyA+ RNA depletion, and normalization.

Main Results:

• Average co-transcriptional splicing values per intron were consistent across different analysis strategies.
• The choice of analysis strategy did not significantly impact the calculated co-transcriptional splicing levels.
• Key technical considerations for accurate co-transcriptional splicing measurement were highlighted.

Conclusions:

• Co-transcriptional splicing quantification is robust across various RNA-Seq analysis strategies.
• Adherence to specific technical requirements is crucial for reliable co-transcriptional splicing studies.
• Guidelines are provided to aid researchers in planning and executing nascent RNA-Seq experiments for studying co-transcriptional splicing.