RNA sequencing: current and prospective uses in metabolic research.
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4691396
- author
- Vikman, Petter LU ; Fadista, Joao LU and Oskolkov, Nikolay LU
- organization
- publishing date
- 2014
- 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
- pmid:25228274
- 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
- 2016-04-01 09:55:21
- date last changed
- 2024-05-05 00:17:27
@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}},
doi = {{10.1530/JME-14-0170}},
volume = {{53}},
year = {{2014}},
}