Document History for Document ID 472089.0
MPI für molekulare Genetik / Department of Human Molecular Genetics |
|Estimating accuracy of RNA-Seq and microarrays with proteomics|
|Authors:||Fu, Xing; Fu, Ning; Guo, Song; Yan, Zheng; Xu, Ying; Hu, Hao; Menzel, Corinna; Chen, Wei; Li, Yixue; Zeng, Rong; Khaitovich, Philipp|
|Date of Publication (YYYY-MM-DD):||2009-04-10|
|Title of Journal:||BMC Genomics|
|Copyright:||© 2009 Fu et al|
|Review Status:||not specified|
|Abstract / Description:||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.
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.
|External Publication Status:||published|
|Communicated by:||Hans-Hilger Ropers|
|Affiliations:||MPI für molekulare Genetik|
|External Affiliations:||Key lab of Systems Biology, Shanghai Institutes for Biological Sciences, China Academy of Sciences, Shanghai, 200031, PR China
Partner Institute for Computational Biology, 320 Yue Yang Road, Shanghai, 200031, PR China
Max-Planck-Institute for Evolutionary Anthropology, Deutscher Platz 6, D-04103 Leipzig, Germany