Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling

被引:113
|
作者
Giraldez, Maria D. [1 ]
Spengler, Ryan M. [1 ]
Etheridge, Alton [2 ]
Godoy, Paula M. [3 ]
Barczak, Andrea J. [3 ]
Srinivasan, Srimeenakshi [4 ,5 ]
De Hoff, Peter L. [4 ,5 ]
Tanriverdi, Kahraman [6 ]
Courtright, Amanda [7 ]
Lu, Shulin [8 ]
Khoory, Joseph [8 ]
Rubio, Renee [9 ]
Baxter, David [10 ]
Driedonks, Tom A. P. [11 ]
Buermans, Henk P. J. [12 ]
Nolte-'t Hoen, Esther N. M. [11 ]
Jiang, Hui [13 ,14 ]
Wang, Kai [10 ]
Ghiran, Ionita [8 ]
Wang, Yaoyu E. [9 ]
Van Keuren-Jensen, Kendall [7 ]
Freedman, Jane E. [6 ]
Woodruff, Prescott G. [15 ,16 ]
Laurent, Louise C. [4 ,5 ]
Erle, David J. [3 ]
Galas, David J. [2 ]
Tewari, Muneesh [1 ,13 ,17 ,18 ]
机构
[1] Univ Michigan, Dept Internal Med, Div Hematol Oncol, Ann Arbor, MI 48109 USA
[2] Pacific Northwest Res Inst, Seattle, WA 98122 USA
[3] Univ Calif San Francisco, Dept Med, Lung Biol Ctr, San Francisco, CA USA
[4] Univ Calif San Diego, Dept Obstet Gynecol & Reprod Sci, La Jolla, CA 92093 USA
[5] Univ Calif San Diego, Sanford Consortium Regenerat Med, La Jolla, CA 92093 USA
[6] Univ Massachusetts, Sch Med, Dept Med, Div Cardiovasc Med, Worcester, MA USA
[7] Translat Genom Res Inst TGen, Neurogen, Phoenix, AZ USA
[8] Harvard Med Sch, Dept Med, Beth Israel Deaconess Med Ctr, Boston, MA USA
[9] Dana Farber Canc Inst, Ctr Canc Computat Biol, Boston, MA 02115 USA
[10] Inst Syst Biol, Seattle, WA USA
[11] Univ Utrecht, Dept Biochem & Cell Biol, Fac Vet Med, Utrecht, Netherlands
[12] Leiden Univ, Dept Human Genet, Leiden Genome Technol Ctr, Med Ctr, Leiden, Netherlands
[13] Univ Michigan, Ctr Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[14] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
[15] Univ Calif San Francisco, Cardiovasc Res Inst, San Francisco, CA USA
[16] Univ Calif San Francisco, Dept Med, Div Pulm Crit Care Sleep & Allergy, San Francisco, CA USA
[17] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA
[18] Univ Michigan, Biointerfaces Inst, Ann Arbor, MI 48109 USA
基金
欧洲研究理事会;
关键词
DIFFERENTIAL EXPRESSION ANALYSIS; GENE-EXPRESSION; MICRORNA; REPRODUCIBILITY;
D O I
10.1038/nbt.4183
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
RNA-seq is increasingly used for quantitative profiling of small RNAs (for example, microRNAs, piRNAs and snoRNAs) in diverse sample types, including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the currently used small RNA-seq library preparation methods have not been systematically tested. Here we report results obtained by a consortium of nine labs that independently sequenced reference, 'ground truth' samples of synthetic small RNAs and human plasma-derived RNA. We assessed three commercially available library preparation methods that use adapters of defined sequence and six methods using adapters with degenerate bases. Both protocol- and sequence-specific biases were identified, including biases that reduced the ability of small RNA-seq to accurately measure adenosine-to-inosine editing in microRNAs. We found that these biases were mitigated by library preparation methods that incorporate adapters with degenerate bases. MicroRNA relative quantification between samples using small RNA-seq was accurate and reproducible across laboratories and methods.
引用
收藏
页码:746 / +
页数:19
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