RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining

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 dup...

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Main Authors: Yan Guo, Jie Wu, Shilin Zhao, Fei Ye, Yinghao Su, Travis Clark, Quanhu Sheng, Brian Lehmann, Xiao-ou Shu, Qiuyin Cai
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2016/9837310
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author Yan Guo
Jie Wu
Shilin Zhao
Fei Ye
Yinghao Su
Travis Clark
Quanhu Sheng
Brian Lehmann
Xiao-ou Shu
Qiuyin Cai
author_facet Yan Guo
Jie Wu
Shilin Zhao
Fei Ye
Yinghao Su
Travis Clark
Quanhu Sheng
Brian Lehmann
Xiao-ou Shu
Qiuyin Cai
author_sort Yan Guo
collection DOAJ
description 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.
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publishDate 2016-01-01
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spelling doaj-art-2d1a93de6c514c35a3fca169e8a347262025-08-20T02:24:14ZengWileyInternational Journal of Genomics2314-436X2314-43782016-01-01201610.1155/2016/98373109837310RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data MiningYan Guo0Jie Wu1Shilin Zhao2Fei Ye3Yinghao Su4Travis Clark5Quanhu Sheng6Brian Lehmann7Xiao-ou Shu8Qiuyin Cai9Department of Cancer Biology, Vanderbilt University, Nashville, TN, USADivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USADepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USADepartment of Biostatistics, Vanderbilt University, Nashville, TN, USADivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USAGenentech, Baltimore, MD, USADepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USADepartment of Biochemistry, Vanderbilt University, Nashville, TN, USADivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USADivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USABackground. 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.http://dx.doi.org/10.1155/2016/9837310
spellingShingle Yan Guo
Jie Wu
Shilin Zhao
Fei Ye
Yinghao Su
Travis Clark
Quanhu Sheng
Brian Lehmann
Xiao-ou Shu
Qiuyin Cai
RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
International Journal of Genomics
title RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
title_full RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
title_fullStr RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
title_full_unstemmed RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
title_short RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining
title_sort rna sequencing of formalin fixed paraffin embedded specimens for gene expression quantification and data mining
url http://dx.doi.org/10.1155/2016/9837310
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