Generic placeholder image

Current Genomics

Editor-in-Chief

ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

Increasing the Coding Potential of Genomes Through Alternative Splicing: The Case of PARK2 Gene

Author(s): Valentina La Cognata, Rosario Iemmolo, Velia D’Agata, Soraya Scuderi, Filippo Drago, Mario Zappia and Sebastiano Cavallaro

Volume 15, Issue 3, 2014

Page: [203 - 216] Pages: 14

DOI: 10.2174/1389202915666140426003342

open access plus

Abstract

The completion of the Human Genome Project aroused renewed interest in alternative splicing, an efficient and widespread mechanism that generates multiple protein isoforms from individual genes. Although our knowledge about alternative splicing is growing exponentially, its real impact on cellular life is still to be clarified. Connecting all splicing features (genes, splice transcripts, isoforms, and relative functions) may be useful to resolve this tangle. Herein, we will start from the case of a single gene, Parkinson protein 2, E3 ubiquitin protein ligase (PARK2), one of the largest in our genome. This gene is implicated in the pathogenesis of autosomal recessive juvenile Parkinsonism and it has been recently linked to cancer, leprosy, autism, type 2 diabetes mellitus and Alzheimer’s disease. PARK2 primary transcript undergoes an extensive alternative splicing, which enhances transcriptomic diversification and protein diversity in tissues and cells. This review will provide an update of all human PARK2 alternative splice transcripts and isoforms presently known, and correlate them to those in rat and mouse, two common animal models for studying human disease genes. Alternative splicing relies upon a complex process that could be easily altered by both cis and trans-acting mutations. Although the contribution of PARK2 splicing in human disease remains to be fully explored, some evidences show disruption of this versatile form of genetic regulation may have pathological consequences.

Keywords: Alternative splicing, mRNA, PARK2, Protein isoforms, Splice variants, Splice expression patterns.


© 2024 Bentham Science Publishers | Privacy Policy