Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries.

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Post-transcriptional regulation shapes cellular identity through mechanisms like 3' UTR length modification.
• Alternative 3' UTRs impact microRNA regulation and transcript localization, influencing gene expression.
• Understanding 3' UTR dynamics is key to deciphering cellular complexity.

Purpose of the Study:

• To develop a widely applicable strategy for identifying genes with regulated 3' UTR lengths using standard RNA sequencing data.
• To provide a sensitive and reliable method for detecting alternative polyadenylation (APA) events.
• To facilitate the investigation of APA's role in biological processes.

Main Methods:

• Utilized RNA sequencing data from standard libraries.
• Exploited pre-annotated alternative polyadenylation (APA) sites from public databases.
• Developed and implemented a Bioconductor package for algorithm deployment.

Main Results:

• The proposed strategy accurately identifies genes with altered 3' UTR lengths.
• Using annotated APA sites demonstrated higher sensitivity compared to de novo prediction.
• The method is reliable when compared against microarray and specialized RNA-seq techniques.

Conclusions:

• The developed Bioconductor package enables widespread community use.
• This approach allows for the detection of 3' UTR length changes using data comparable to that for differential expression analysis.
• It offers a valuable tool for exploring the relevance of alternative polyadenylation without specialized experiments.