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PMID: 19371429 Published · epublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Estimating accuracy of RNA-Seq and microarrays with proteomics.

BMC genomics ·Vol. 10 ·2009-04-16 ·Pages 161

Fu X, Fu N, Guo S, Yan Z, Xu Y, Hu H, Menzel C, Chen W, Li Y, Zeng R, Khaitovich P

Abstract

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. 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. 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.

MeSH Terms
Gene Expression Profiling Oligonucleotide Array Sequence Analysis/methods Proteomics/methods RNA, Messenger/analysis,metabolism Reproducibility of Results Sequence Analysis, RNA/methods
Chemicals
RNA, Messenger
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Fu Xing
Key lab of Systems Biology, Shanghai Institutes for Biological Sciences, China Academy of Sciences, Shanghai, 200031, PR China. [email protected]
Fu Ning
Guo Song
Yan Zheng
Xu Ying
Hu Hao
Menzel Corinna
Chen Wei
Li Yixue
Zeng Rong
Khaitovich Philipp
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2009-04-16
Epub
2009-00-16
Pages
161
Language
English
Region
England
NLM ID
100965258
PMCID
PMC2676304
Subset
IM
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