High-throughput quantification of splicing isoforms

  1. Jean-Philippe Brosseau1,2,3,
  2. Jean-François Lucier1,3,
  3. Elvy Lapointe1,
  4. Mathieu Durand1,
  5. Daniel Gendron1,
  6. Julien Gervais-Bird1,
  7. Karine Tremblay1,
  8. Jean-Pierre Perreault2 and
  9. Sherif Abou Elela1
  1. 1Laboratoire de Génomique Fonctionnelle de l'Université de Sherbrooke, Département de Microbiologie et d'Infectiologie; Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada
  2. 2Laboratoire de Génomique Fonctionnelle de l'Université de Sherbrooke, Département de Biochimie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada
  1. 3 These authors contributed equally to this work.

Abstract

Most human messenger RNAs (mRNAs) are alternatively spliced and many exhibit disease-specific splicing patterns. However, the contribution of most splicing events to the development and maintenance of human diseases remains unclear. As the contribution of alternative splicing events to diagnosis and prognosis is becoming increasingly recognized, it becomes important to develop precise methods to quantify the abundance of these isoforms in clinical samples. Here we present a pipeline for real-time PCR annotation of splicing events (RASE) that allows accurate identification of a large number of splicing isoforms in human tissues. The RASE automatically designed specific primer pairs for 81% of all alternative splicing events in the NCBI build 36 database. Experimentally, the majority of the RASE designed primers resulted in isoform-specific amplification suitable for quantification in human cell lines or in formalin-fixed, paraffin-embedded (FFPE) RNA extract. Using this pipeline it is now possible to rapidly identify splicing isoform signatures in different types of human tissues or to validate complete sets of data generated by microarray expression profiling and deep sequencing techniques.

Keywords:

Keywords

Footnotes

  • Reprint requests to: Sherif Abou Elela, Laboratoire de Génomique Fonctionnelle de l'Université de Sherbrooke, Département de Microbiologie et d'Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec J1H 5N4, Canada; e-mail: sherif.abou.elela{at}usherbrooke.ca; fax: (819) 564-5392.

  • Article published online ahead of print. Article and publication date are at http://www.rnajournal.org/cgi/doi/10.1261/rna.1877010.

    • Received August 13, 2009.
    • Accepted October 29, 2009.
| Table of Contents
OPEN ACCESS ARTICLE