RNA-Seq of human whole blood: Evaluation of globin RNA depletion on Ribo-Zero library method

被引:31
作者
Harrington, Christina A. [1 ,2 ]
Fei, Suzanne S. [3 ]
Minnier, Jessica [1 ,4 ]
Carbone, Lucia [2 ,3 ,5 ,6 ]
Searles, Robert [1 ,6 ]
Davis, Brett A. [3 ,5 ]
Ogle, Kimberly [7 ]
Planck, Stephen R. [7 ,8 ]
Rosenbaum, James T. [7 ,8 ,9 ]
Choi, Dongseok [4 ,7 ,8 ,10 ]
机构
[1] Oregon Hlth & Sci Univ, Integrated Genom Lab, Portland, OR 97201 USA
[2] Oregon Hlth & Sci Univ, Dept Mol & Med Genet, Portland, OR 97201 USA
[3] Oregon Hlth & Sci Univ, Oregon Natl Primate Res Ctr, Bioinformat & Biostat Core, Beaverton, OR USA
[4] Oregon Hlth & Sci Univ, OHSU PSU Sch Publ Hlth, Portland, OR 97201 USA
[5] Oregon Hlth & Sci Univ, Knight Cardiovasc Inst, Portland, OR 97201 USA
[6] Oregon Hlth & Sci Univ, 3181 Sam Jackson Pk Rd, Portland, OR 97201 USA
[7] Oregon Hlth & Sci Univ, Casey Eye Inst, Portland, OR 97201 USA
[8] Oregon Hlth & Sci Univ, Dept Med, Portland, OR 97201 USA
[9] Legacy Hlth Syst, Legacy Devers Eye Inst, Portland, OR USA
[10] Kyung Hee Univ, Grad Sch Dent, Seoul, South Korea
关键词
EXPRESSION ANALYSIS;
D O I
10.1038/s41598-020-62801-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Peripheral blood is a highly accessible biofluid providing a rich source of information about human physiology and health status. However, for studies of the blood transcriptome with RNA sequencing (RNA-Seq) techniques, high levels of hemoglobin mRNAs (hgbRNA) present in blood can occupy valuable sequencing space, impacting detection and quantification of non-hgbRNAs. In this study, we evaluated two methods for preparing ribosomal RNA (rRNA)-depleted sequencing libraries for RNA-Seq of whole blood, one of which is also designed to deplete hgbRNAs. Two experiments were performed: one evaluating library performance across 6 human blood samples and the other examining library reproducibility and performance in a two-subject subset. We find that addition of hgbRNA depletion to the rRNA-depletion protocol for library preparation from blood RNA effectively reduces highly abundant hgbRNA reads; however, it does not result in a statistically significant increase in differentially expressed genes in our patient-control study. Bioinformatic removal of globin gene counts in non-hgbRNA depleted libraries provides improvement in overall performance of these libraries. We conclude that use of a standard ribosomal RNA depletion method for library preparation coupled with bioinformatic removal of globin gene counts is sufficient for reproducible and sensitive measurement of both coding and noncoding RNAs in the blood transcriptome.
引用
收藏
页数:12
相关论文
共 26 条
[1]   Trimmomatic: a flexible trimmer for Illumina sequence data [J].
Bolger, Anthony M. ;
Lohse, Marc ;
Usadel, Bjoern .
BIOINFORMATICS, 2014, 30 (15) :2114-2120
[2]   Optimization of the PAXgene™ blood RNA extraction system for gene expression analysis of clinical samples [J].
Chal, V ;
Vassilakos, A ;
Lee, Y ;
Wright, JA ;
Young, AH .
JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2005, 19 (05) :182-188
[3]  
Chen Yunshun, 2016, F1000Res, V5, P1438, DOI 10.12688/f1000research.8987.2
[4]   A survey of best practices for RNA-seq data analysis [J].
Conesa, Ana ;
Madrigal, Pedro ;
Tarazona, Sonia ;
Gomez-Cabrero, David ;
Cervera, Alejandra ;
McPherson, Andrew ;
Szczesniak, Michal Wojciech ;
Gaffney, Daniel J. ;
Elo, Laura L. ;
Zhang, Xuegong ;
Mortazavi, Ali .
GENOME BIOLOGY, 2016, 17
[5]   A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing [J].
Cui, Peng ;
Lin, Qiang ;
Ding, Feng ;
Xin, Chengqi ;
Gong, Wei ;
Zhang, Lingfang ;
Geng, Jianing ;
Zhang, Bing ;
Yu, Xiaomin ;
Yang, Jin ;
Hu, Songnian ;
Yu, Jun .
GENOMICS, 2010, 96 (05) :259-265
[6]   Comparison of different isolation techniques prior gene expression profiling of blood derived cells: impact on physiological responses, on overall expression and the role of different cell types [J].
Debey, S ;
Schoenbeck, U ;
Hellmich, M ;
Gathof, BS ;
Pillai, R ;
Zander, T ;
Schultze, JL .
PHARMACOGENOMICS JOURNAL, 2004, 4 (03) :193-207
[7]   RNA-SeQC: RNA-seq metrics for quality control and process optimization [J].
DeLuca, David S. ;
Levin, Joshua Z. ;
Sivachenko, Andrey ;
Fennell, Timothy ;
Nazaire, Marc-Danie ;
Williams, Chris ;
Reich, Michael ;
Winckler, Wendy ;
Getz, Gad .
BIOINFORMATICS, 2012, 28 (11) :1530-1532
[8]   STAR: ultrafast universal RNA-seq aligner [J].
Dobin, Alexander ;
Davis, Carrie A. ;
Schlesinger, Felix ;
Drenkow, Jorg ;
Zaleski, Chris ;
Jha, Sonali ;
Batut, Philippe ;
Chaisson, Mark ;
Gingeras, Thomas R. .
BIOINFORMATICS, 2013, 29 (01) :15-21
[9]   Sample processing obscures cancer-specific alterations in leukemic transcriptomes [J].
Dvinge, Heidi ;
Ries, Rhonda E. ;
Ilagan, Janine O. ;
Stirewalt, Derek L. ;
Meshinchi, Soheil ;
Bradley, Robert K. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (47) :16802-16807
[10]   MultiQC: summarize analysis results for multiple tools and samples in a single report [J].
Ewels, Philip ;
Magnusson, Mans ;
Lundin, Sverker ;
Kaller, Max .
BIOINFORMATICS, 2016, 32 (19) :3047-3048