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RNA-seq: from technology to biology
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 substan...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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SP Birkhäuser Verlag Basel
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2809939/ https://www.ncbi.nlm.nih.gov/pubmed/19859660 http://dx.doi.org/10.1007/s00018-009-0180-6 |
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author | Marguerat, Samuel Bähler, Jürg |
author_facet | Marguerat, Samuel Bähler, Jürg |
author_sort | Marguerat, Samuel |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2809939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | SP Birkhäuser Verlag Basel |
record_format | MEDLINE/PubMed |
spelling | pubmed-28099392010-01-29 RNA-seq: from technology to biology Marguerat, Samuel Bähler, Jürg Cell Mol Life Sci Review 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. SP Birkhäuser Verlag Basel 2009-10-27 2010 /pmc/articles/PMC2809939/ /pubmed/19859660 http://dx.doi.org/10.1007/s00018-009-0180-6 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Review Marguerat, Samuel Bähler, Jürg RNA-seq: from technology to biology |
title | RNA-seq: from technology to biology |
title_full | RNA-seq: from technology to biology |
title_fullStr | RNA-seq: from technology to biology |
title_full_unstemmed | RNA-seq: from technology to biology |
title_short | RNA-seq: from technology to biology |
title_sort | rna-seq: from technology to biology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2809939/ https://www.ncbi.nlm.nih.gov/pubmed/19859660 http://dx.doi.org/10.1007/s00018-009-0180-6 |
work_keys_str_mv | AT margueratsamuel rnaseqfromtechnologytobiology AT bahlerjurg rnaseqfromtechnologytobiology |