RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining. (28th September 2016)

• Record Type: Journal Article
• Authors: Guo, Yan; Wu, Jie; Zhao, Shilin; Ye, Fei; Su, Yinghao; Clark, Travis; Sheng, Quanhu; Lehmann, Brian; Shu, Xiao-ou; Cai, Qiuyin
• Other Names: Wigdahl Brian Academic Editor.
• Is Part Of: International journal of genomics. Volume 2016(2016)
• Publication Date: 2016-09-28
• Subjects: Genomes -- Periodicals; Genomics -- Periodicals; Cytogenetics -- Periodicals; Genomics; Genome; Molecular Biology; Cytogenetics; Genomes; Genomics; Periodicals; 572.86
• DOI: 10.1155/2016/9837310
• Languages: English
• ISSNs: 2314-436X

Abstract

Abstract : Background . Proper rRNA depletion is crucial for the successful utilization of FFPE specimens when studying gene expression. We performed a study to evaluate two major rRNA depletion methods: Ribo-Zero and RNase H. RNAs extracted from 4 samples were treated with the two rRNA depletion methods in duplicate and sequenced (N = 16 ). We evaluated their reducibility, ability to detect RNA, and ability to molecularly subtype these triple negative breast cancer specimens. Results . Both rRNA depletion methods produced consistent data between the technical replicates. We found that the RNase H method produced higher quality RNAseq data as compared to the Ribo-Zero method. In addition, we evaluated the RNAseq data generated from the FFPE tissue samples for noncoding RNA, including lncRNA, enhancer/super enhancer RNA, and single nucleotide variation (SNV). We found that the RNase H is more suitable for detecting high-quality, noncoding RNAs as compared to the Ribo-Zero and provided more consistent molecular subtype identification between replicates. Unfortunately, neither method produced reliable SNV data. Conclusions . In conclusion, for FFPE specimens, the RNase H rRNA depletion method performed better than the Ribo-Zero. Neither method generates data sufficient for SNV detection.