Quantitative miRNA expression analysis: comparing microarrays with next-generation sequencing
| Autor: | Rolf Søkilde, Finn Cilius Nielsen, Thomas Nøhr Hansen, Kim Bundvig Barken, Søren Møller, Hanni Willenbrock, Thomas Litman, Jesper Salomon |
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| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: |
Genetics
Biological data Microarray Sequence Analysis RNA Gene Expression Reproducibility of Results RNA-Seq Biology Article DNA sequencing Massively parallel signature sequencing MicroRNAs Single cell sequencing Gene chip analysis DNA microarray Molecular Biology Oligonucleotide Array Sequence Analysis |
| Zdroj: | Willenbrock, H, Salomon, J, Søkilde, R, Barken, K B, Hansen, T N, Nielsen, F C, Møller, S & Litman, T 2009, ' Quantitative miRNA expression analysis: comparing microarrays with next-generation sequencing ', RNA: A publication of the RNA Society, vol. 15, no. 11, pp. 2028-34 . https://doi.org/10.1261/rna.1699809 |
| Popis: | Udgivelsesdato: 2009-Nov 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. |
| Databáze: | OpenAIRE |
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