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

  • Maria D Giraldez
  • , Ryan M Spengler
  • , Alton Etheridge
  • , Paula M Godoy
  • , Andrea J Barczak
  • , Srimeenakshi Srinivasan
  • , Peter L De Hoff
  • , Kahraman Tanriverdi
  • , Amanda Courtright
  • , Shulin Lu
  • , Joseph Khoory
  • , Renee Rubio
  • , David Baxter
  • , Tom A P Driedonks
  • , Henk P J Buermans
  • , Esther N M Nolte-'t Hoen
  • , Hui Jiang
  • , Kai Wang
  • , Ionita Ghiran
  • , Yaoyu E Wang
  • Kendall Van Keuren-Jensen, Jane E Freedman, Prescott G Woodruff, Louise C Laurent, David J Erle, David J Galas, Muneesh Tewari

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)746-757
Number of pages12
JournalNature Biotechnology
Volume36
Issue number8
DOIs
Publication statusPublished - Sept 2018
Externally publishedYes

Keywords

  • Adenosine/genetics
  • Humans
  • Inosine/genetics
  • MicroRNAs/blood
  • RNA Editing
  • Reference Standards
  • Reproducibility of Results
  • Sequence Analysis, RNA/methods

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