Estimating accuracy of RNA-Seq and microarrays with proteomics

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Item Type:	Article
Title:	Estimating accuracy of RNA-Seq and microarrays with proteomics
Creators Name:	Fu, X., Fu, N., Guo, S., Yan, Z., Xu, Y., Hu, H., Menzel, C., Chen, W., Li, Y., Zeng, R. and Khaitovich, P.
Abstract:	BACKGROUND: Microarrays revolutionized biological research by enabling gene expression comparisons on a transcriptome-wide scale. Microarrays, however, do not estimate absolute expression level accurately. At present, high throughput sequencing is emerging as an alternative methodology for transcriptome studies. Although free of many limitations imposed by microarray design, its potential to estimate absolute transcript levels is unknown. RESULTS: In this study, we evaluate relative accuracy of microarrays and transcriptome sequencing (RNA-Seq) using third methodology: proteomics. We find that RNA-Seq provides a better estimate of absolute expression levels. CONCLUSION: Our result shows that in terms of overall technical performance, RNA-Seq is the technique of choice for studies that require accurate estimation of absolute transcript levels.
Keywords:	Gene Expression Profiling, Oligonucleotide Array Sequence Analysis, Proteomics, Messenger RNA, Reproducibility of Results, RNA Sequence Analysis
Source:	BMC Genomics
ISSN:	1471-2164
Publisher:	BioMed Central
Volume:	10
Page Range:	161
Date:	16 April 2009
Official Publication:	https://doi.org/10.1186/1471-2164-10-161
PubMed:	View item in PubMed

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