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SASD: the Synthetic Alternative Splicing Database for identifying novel isoform from proteomics
BMC Bioinformatics
|November 26, 2013
Summary
We developed a synthetic alternative splicing database (SASD) to identify novel protein isoforms from mass spectrometry data. This tool aids in analyzing alternative splicing events like exon skipping and intron retention within specific biological contexts.
Area of Science:
- Proteomics
- Molecular Biology
- Bioinformatics
Background:
- Alternative splicing generates protein diversity and regulates expression.
- Protein-level analysis of alternative splicing offers advantages over mRNA-level analysis.
- Combining alternative splicing databases with mass spectrometry is key for novel isoform discovery.
Purpose of the Study:
- To create a comprehensive synthetic alternative splicing database (SASD).
- To identify and analyze novel alternative splicing protein isoforms.
- To interpret identified isoforms within pathways, diseases, drugs, and organs.
Main Methods:
- A three-step pipeline was employed to construct the SASD.
- Gene structure information from Ensembl Genes 71 and pathway data were integrated.
- Artificial splicing transcripts were compiled and translated into peptides.
Main Results:
- The SASD was successfully created to identify novel alternative splicing isoforms.
- The database enables interpretation of isoforms in specific biological contexts.
- The pipeline focused exclusively on alternative splicing for maximum coverage.
Conclusions:
- The SASD offers an efficient method for identifying and analyzing novel protein isoforms.
- It facilitates the characterization of Exon Skipping and Intron Retention events.
- The database supports interpretation within disease, drug, and organ-specific contexts.
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