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Regulated functional alternative splicing in Drosophila

Lookup NU author(s): Dr Julian Venables

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Abstract

Intense efforts are currently being directed toward profiling gene expression in the hope of developing better cancer markers and identifying potential drug targets. Here, we present a sensitive new approach for the identification of cancer signatures based on direct high-throughput reverse transcription-PCR validation of alternative splicing events. This layered and integrated system for splicing annotation (LISA) fills a gap between high-throughput microarray studies and high-sensitivity individual gene investigations, and was created to monitor the splicing of 600 cancer-associated genes in 25 normal and 21 serous ovarian cancer tissues. Out of >4,700 alternative splicing events screened, the LISA identified 48 events that were significantly associated with serous ovarian tumor tissues. In a further screen directed at 39 ovarian tissues containing cancer pathologies of various origins, our ovarian cancer splicing signature successfully distinguished all normal tissues from cancer. High-volume identification of cancer-associated splice forms by the LISA paves the way for the use of alternative splicing profiling to diagnose subtypes of cancer.

Publication metadata

Author(s): Venables JP, Tazi J, Juge F

Publication type: Article

Publication status: Published

Journal: Nucleic Acids Research

Year: 2012

Volume: 40

Issue: 1

Pages: 1-10

Print publication date: 08/09/2011

Date deposited: 12/10/2012

ISSN (print): 0305-1048

ISSN (electronic): 1362-4962

Publisher: Oxford University Press

URL: http://dx.doi.org/10.1093/nar/gkr648

DOI: 10.1093/nar/gkr648

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