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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identifying and characterising key alternative splicing events in Drosophila development
Jonathan G Lees1, Juan A Ranea2, Christine A Orengo3
1Institute of Structural and Molecular Biology, Division of Biosciences, University College London, Gower Street, London, WC1E 6BT, UK. ucbcjle@live.ucl.ac.uk.
BMC Genomics
|August 16, 2015
Summary
We developed a new method to identify functional protein isoforms from complex gene expression data. This approach helps prioritize isoforms for research, revealing their key roles in biological regulation.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Complex Metazoans exhibit extensive alternative splicing, leading to multiple protein isoforms per gene.
- Functional genomics faces challenges in annotating these isoforms, exacerbated by RNASeq data and distinguishing functional variants from noise.
- Existing tools for prioritizing isoforms for functional testing are limited.
Purpose of the Study:
- To develop a computational method for ranking protein isoforms based on their functional significance.
- To investigate the functional roles and characteristics of different isoforms within multi-transcript genes.
- To establish a pipeline for annotating alternatively spliced transcripts.
Main Methods:
- Implementation of a Time-course Switch (TS) score using developmental expression profiles from modENCODE.
- Analysis of sequence features and domain/exon gains in isoforms with high TS scores.
- Development of the Transcript Annotations Pipeline for Alternative Splicing (TAPAS) based on the TS score.
Main Results:
- High TS scores correlate with deterministic splicing, functional changes, and acquisition of new domains/exons.
- Functionally significant isoforms are crucial for essential regulatory processes.
- TAPAS effectively identifies functional neighborhoods of potentially interesting isoforms.
Conclusions:
- A subset of protein isoforms with high functional significance, particularly in regulation, has been identified.
- Novel methods utilizing transcript expression profiles enable better isoform-specific function annotation.
- The developed tools enhance the characterization of alternative splicing's regulatory functions.
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