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Estimating accuracy of RNA-Seq and microarrays with proteomics

2009; BioMed Central; Volume: 10; Issue: 1 Linguagem: Inglês

10.1186/1471-2164-10-161

1471-2164

Xing Fu, Ning Fu, Song Guo, Yan Zheng, Ying Xu, Hao Hu, Corinna Menzel, Wei Chen, Yixue Li, Rong Zeng, Philipp Khaitovich,

Single-cell and spatial transcriptomics

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.