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Updated: Aug 27, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

APA-Scan: detection and visualization of 3'-UTR alternative polyadenylation with RNA-seq and 3'-end-seq data.

Naima Ahmed Fahmi¹, Khandakar Tanvir Ahmed¹, Jae-Woong Chang²

¹Department of Computer Science, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL, 32816, USA.

BMC Bioinformatics

|September 28, 2022

Summary

APA-Scan accurately identifies 3'-untranslated region alternative polyadenylation (APA) events using RNA-seq data. This tool improves genome annotation by detecting unannotated APA events, overcoming limitations of existing bioinformatics pipelines.

Keywords:

3′-End-seq Alternative polyadenylation RNA-seq Transcriptome

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Last Updated: Aug 27, 2025

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Area of Science:

Genomics
Transcriptomics
Bioinformatics

Background:

Alternative polyadenylation (APA) in the 3 -untranslated region (3 -UTR) generates mRNA isoforms with varying 3 -UTR lengths.
3 -UTR length influences mRNA fate by affecting microRNA and RNA-binding protein interactions, thus regulating gene expression post-transcriptionally.
Existing bioinformatics tools struggle with accurate 3 -UTR APA profiling due to incomplete annotations and low-resolution analysis, often leading to false positives.

Purpose of the Study:

To develop APA-Scan, a robust computational pipeline for precise identification and visualization of 3 -UTR APA events.
To overcome the limitations of current bioinformatics approaches in analyzing 3 -UTR APA events.
To provide a high-resolution visualization of RNA-seq read coverage alongside gene annotations for 3 -UTR APA events.

Main Methods:

APA-Scan utilizes predicted or validated polyadenylation signals as references for cleavage sites.
It quantifies long and short 3 -UTR transcripts from RNA-seq data by analyzing read coverage across 3 -UTR regions.
The pipeline identifies significant APA sites, evaluates their biological significance, and generates graphical representations of APA events.

Main Results:

APA-Scan demonstrated significantly improved accuracy in identifying 3 -UTR APA events compared to existing tools (DaPars, APAtrap) in both simulated and real RNA-seq datasets.
The tool's performance was validated using 3 -end-seq data and qPCR experiments.
APA-Scan successfully detected previously unannotated 3 -UTR APA events, contributing to enhanced genome annotation.

Conclusions:

APA-Scan is a comprehensive pipeline for transcriptome-wide 3 -UTR APA event detection.
It effectively integrates RNA-seq and 3 -end-seq data for high-resolution analysis.
The tool offers efficient identification of significant APA events, advancing post-transcriptional gene regulation studies.