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This chapter serves as a comprehensive user guide for EXPANSION ( https://expansion.bioinfolab.sns.it/), an integrated web server dedicated to exploring the functional consequences of protein-coding alternative splice variants from genome-scale transcriptomics datasets. By amalgamating data from differentially expressed protein-coding transcripts, domain architecture, protein interaction networks, and gene enrichment analysis, EXPANSION provides researchers with a robust toolkit to dissect the impact of alternative splicing events on cellular functions. From navigating precalculated datasets to uploading custom data, visualizing transcript expression, scrutinizing splicing variations, and performing overrepresentation analysis, this chapter elucidates the key procedures involved in harnessing EXPANSION for a detailed exploration of protein alternative splicing from transcriptomics datasets in both healthy and disease conditions.

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Exploring the Functional Consequences of Protein-Coding Alternative Splice Variants at a Genome Scale: A Guide to Utilizing EXPANSION

  • 实验方案

  • 发表日期：

    2026年

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  • Chakit Arora,
  • Natalia De Oliveira Rosa,
  • Marin Matic,
  • Mariastella Cascone,
  • Pasquale Miglionico,
  • Francesco Raimondi

摘要

This chapter serves as a comprehensive user guide for EXPANSION ( https://expansion.bioinfolab.sns.it/), an integrated web server dedicated to exploring the functional consequences of protein-coding alternative splice variants from genome-scale transcriptomics datasets. By amalgamating data from differentially expressed protein-coding transcripts, domain architecture, protein interaction networks, and gene enrichment analysis, EXPANSION provides researchers with a robust toolkit to dissect the impact of alternative splicing events on cellular functions. From navigating precalculated datasets to uploading custom data, visualizing transcript expression, scrutinizing splicing variations, and performing overrepresentation analysis, this chapter elucidates the key procedures involved in harnessing EXPANSION for a detailed exploration of protein alternative splicing from transcriptomics datasets in both healthy and disease conditions.