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Related Experiment Videos

Selecting for functional alternative splices in ESTs.

Zhengyan Kan1, David States, Warren Gish

  • 1Department of Genetics, Washington University, St. Louis, Missouri 63110, USA.

Genome Research
|December 6, 2002
PubMed
Summary

This study used computational analysis of expressed sequence tags (ESTs) to identify high-confidence alternative splicing events in human genes. Reliable alternative splicing and intron retention occur at lower frequencies than initially suggested by raw data.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Expressed Sequence Tag (EST) collections are valuable for studying alternative splicing.
  • Previous analyses may overestimate the prevalence of alternative splicing events.

Purpose of the Study:

  • To computationally identify and quantify high-confidence alternative splicing patterns in human genes using EST data.
  • To assess the reliability of detected alternative splicing and intron retention events.

Main Methods:

  • Utilized genomically aligned ESTs from dbEST and a computational tool (TAP) to analyze 6400 human genes.
  • Applied statistical methods and clustering based on mutually exclusive structures to filter for high-confidence (>95%) alternative splicing.
  • Examined cross-species conservation in mouse ESTs and validation in GenBank mRNA.

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Main Results:

  • High-confidence alternative splicing was detected for 17%-28% of genes, with events expected at >5% frequency.
  • Reliable intron retention events were identified in <5% of genes, despite initial detection in 36%.
  • High-confidence human alternative splices showed greater cross-species conservation and mRNA validation.

Conclusions:

  • Quantitative analytical approaches are crucial for accurately identifying reliable alternative splicing events.
  • This method aids in selecting targets for experimental validation and understanding alternative splicing mechanisms.
  • The true frequency of high-confidence alternative splicing and intron retention is lower than suggested by raw EST data.