Quantitative miRNA expression analysis : comparing microarrays with next-generation sequencing
(2009) In RNA 15(11). p.34-2028- Abstract
Recently, next-generation sequencing has been introduced as a promising, new platform for assessing the copy number of transcripts, while the existing microarray technology is considered less reliable for absolute, quantitative expression measurements. Nonetheless, so far, results from the two technologies have only been compared based on biological data, leading to the conclusion that, although they are somewhat correlated, expression values differ significantly. Here, we use synthetic RNA samples, resembling human microRNA samples, to find that microarray expression measures actually correlate better with sample RNA content than expression measures obtained from sequencing data. In addition, microarrays appear highly sensitive and... (More)
Recently, next-generation sequencing has been introduced as a promising, new platform for assessing the copy number of transcripts, while the existing microarray technology is considered less reliable for absolute, quantitative expression measurements. Nonetheless, so far, results from the two technologies have only been compared based on biological data, leading to the conclusion that, although they are somewhat correlated, expression values differ significantly. Here, we use synthetic RNA samples, resembling human microRNA samples, to find that microarray expression measures actually correlate better with sample RNA content than expression measures obtained from sequencing data. In addition, microarrays appear highly sensitive and perform equivalently to next-generation sequencing in terms of reproducibility and relative ratio quantification.
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- author
- Willenbrock, Hanni ; Salomon, Jesper ; Søkilde, Rolf LU ; Barken, Kim Bundvig ; Hansen, Thomas Nøhr ; Nielsen, Finn Cilius ; Møller, Søren and Litman, Thomas
- publishing date
- 2009-11
- type
- Contribution to journal
- publication status
- published
- keywords
- Gene Expression, MicroRNAs, Oligonucleotide Array Sequence Analysis, Reproducibility of Results, Sequence Analysis, RNA, Comparative Study, Evaluation Studies, Journal Article
- in
- RNA
- volume
- 15
- issue
- 11
- pages
- 7 pages
- publisher
- Cold Spring Harbor Laboratory Press (CSHL)
- external identifiers
-
- pmid:19745027
- scopus:70350088369
- ISSN
- 1355-8382
- DOI
- 10.1261/rna.1699809
- language
- English
- LU publication?
- no
- id
- a601c4a4-3893-4324-bc59-4f17fb8a778c
- date added to LUP
- 2017-09-01 14:32:30
- date last changed
- 2024-06-09 22:41:57
@article{a601c4a4-3893-4324-bc59-4f17fb8a778c, abstract = {{<p>Recently, next-generation sequencing has been introduced as a promising, new platform for assessing the copy number of transcripts, while the existing microarray technology is considered less reliable for absolute, quantitative expression measurements. Nonetheless, so far, results from the two technologies have only been compared based on biological data, leading to the conclusion that, although they are somewhat correlated, expression values differ significantly. Here, we use synthetic RNA samples, resembling human microRNA samples, to find that microarray expression measures actually correlate better with sample RNA content than expression measures obtained from sequencing data. In addition, microarrays appear highly sensitive and perform equivalently to next-generation sequencing in terms of reproducibility and relative ratio quantification.</p>}}, author = {{Willenbrock, Hanni and Salomon, Jesper and Søkilde, Rolf and Barken, Kim Bundvig and Hansen, Thomas Nøhr and Nielsen, Finn Cilius and Møller, Søren and Litman, Thomas}}, issn = {{1355-8382}}, keywords = {{Gene Expression; MicroRNAs; Oligonucleotide Array Sequence Analysis; Reproducibility of Results; Sequence Analysis, RNA; Comparative Study; Evaluation Studies; Journal Article}}, language = {{eng}}, number = {{11}}, pages = {{34--2028}}, publisher = {{Cold Spring Harbor Laboratory Press (CSHL)}}, series = {{RNA}}, title = {{Quantitative miRNA expression analysis : comparing microarrays with next-generation sequencing}}, url = {{http://dx.doi.org/10.1261/rna.1699809}}, doi = {{10.1261/rna.1699809}}, volume = {{15}}, year = {{2009}}, }