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RNA sequencing: current and prospective uses in metabolic research.

Vikman, Petter LU ; Fadista, Joao LU and Oskolkov, Nikolay LU (2014) In Journal of Molecular Endocrinology 53(2). p.93-101
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Molecular Endocrinology
volume
53
issue
2
pages
93 - 101
publisher
Society for Endocrinology
external identifiers
  • pmid:25228274
  • wos:000345620300005
  • scopus:84907973989
ISSN
1479-6813
DOI
10.1530/JME-14-0170
language
English
LU publication?
yes
id
5020e4f5-b680-4c66-9af3-60ca05ada83e (old id 4691396)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/25228274?dopt=Abstract
date added to LUP
2014-10-07 19:28:19
date last changed
2017-11-05 03:02:27
@article{5020e4f5-b680-4c66-9af3-60ca05ada83e,
  abstract     = {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.},
  author       = {Vikman, Petter and Fadista, Joao and Oskolkov, Nikolay},
  issn         = {1479-6813},
  language     = {eng},
  number       = {2},
  pages        = {93--101},
  publisher    = {Society for Endocrinology},
  series       = {Journal of Molecular Endocrinology},
  title        = {RNA sequencing: current and prospective uses in metabolic research.},
  url          = {http://dx.doi.org/10.1530/JME-14-0170},
  volume       = {53},
  year         = {2014},
}