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RNA sequencing: current and prospective uses in metabolic research.

Author:
  • Petter Vikman
  • Joao Fadista
  • Nikolay Oskolkov
Publishing year: 2014
Language: English
Pages: 93-101
Publication/Series: Journal of Molecular Endocrinology
Volume: 53
Issue: 2
Document type: Journal article review
Publisher: Society for Endocrinology

Abstract english

Previous global RNA analysis was restricted to known transcripts in species with a defined transcriptome. Next generation sequencing has transformed transcriptomics by making it possible to analyse expressed genes with an exon level resolution from any tissue in any species without any a priori knowledge of which genes that are being expressed, splice patterns or their nucleotide sequence. In addition, RNA sequencing is a more sensitive technique compared with microarrays with a larger dynamic range, and it also allows for investigation of imprinting and allele-specific expression. This can be done for a cost that is able to compete with that of a microarray, making RNA sequencing a technique available to most researchers. Therefore RNA sequencing has recently become the state of the art with regards to large-scale RNA investigations and has to a large extent replaced microarrays. The only drawback is the large data amounts produced, which together with the complexity of the data can make a researcher spend far more time on analysis than performing the actual experiment.

Keywords

  • Endocrinology and Diabetes

Other

Published
  • Genomics, Diabetes and Endocrinology
  • ISSN: 1479-6813
Nikolay Oskolkov
E-mail: nikolay [dot] oskolkov [at] biol [dot] lu [dot] se

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