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  Estimating accuracy of RNA-Seq and microarrays with proteomics

Fu, X., Fu, N., Guo, S., Yan, Z., Xu, Y., Hu, H., et al. (2009). Estimating accuracy of RNA-Seq and microarrays with proteomics. BMC Genomics, 10, 161-161. doi:10.1186/1471-2164-10-161.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7DB8-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7DB9-A
Genre: Journal Article

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 Creators:
Fu, Xing, Author
Fu, Ning, Author
Guo, Song, Author
Yan, Zheng, Author
Xu, Ying, Author
Hu, Hao1, Author              
Menzel, Corinna2, Author
Chen, Wei1, Author              
Li, Yixue, Author
Zeng, Rong, Author
Khaitovich, Philipp, Author
Affiliations:
1Dept. of Human Molecular Genetics (Head: Hans-Hilger Ropers), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433549              
2Max Planck Society, ou_persistent13              

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 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.

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Language(s): eng - English
 Dates: 2009-04-10
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
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Title: BMC Genomics
Source Genre: Journal
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Pages: - Volume / Issue: 10 Sequence Number: - Start / End Page: 161 - 161 Identifier: ISSN: 1471-2164