Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Cell Mol Life Sci. 2010 Feb;67(4):569-79. doi: 10.1007/s00018-009-0180-6. Epub 2009 Oct 27.

RNA-seq: from technology to biology.

Author information

  • 1Department of Genetics, Evolution and Environment, UCL Cancer Institute, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.

Abstract

Next-generation sequencing technologies are now being exploited not only to analyse static genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these powerful and rapidly evolving technologies have only been available for a couple of years, they are already making substantial contributions to our understanding of genome expression and regulation. Here, we briefly describe technical issues accompanying RNA-seq data generation and analysis, highlighting differences to array-based approaches. We then review recent biological insight gained from applying RNA-seq and related approaches to deeply sample transcriptomes in different cell types or physiological conditions. These approaches are providing fascinating information about transcriptional and post-transcriptional gene regulation, and they are also giving unique insight into the richness of transcript structures and processing on a global scale and at unprecedented resolution.

PMID:
19859660
[PubMed - indexed for MEDLINE]
PMCID:
PMC2809939
Free PMC Article

Images from this publication.See all images (2)Free text

Fig. 1
Fig. 2
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for Springer Icon for PubMed Central
    Loading ...
    Write to the Help Desk