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Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling.
Giraldez, Maria D; Spengler, Ryan M; Etheridge, Alton; Godoy, Paula M; Barczak, Andrea J; Srinivasan, Srimeenakshi; De Hoff, Peter L; Tanriverdi, Kahraman; Courtright, Amanda; Lu, Shulin; Khoory, Joseph; Rubio, Renee; Baxter, David; Driedonks, Tom A P; Buermans, Henk P J; Nolte-'t Hoen, Esther N M; Jiang, Hui; Wang, Kai; Ghiran, Ionita; Wang, Yaoyu E; Van Keuren-Jensen, Kendall; Freedman, Jane E; Woodruff, Prescott G; Laurent, Louise C; Erle, David J; Galas, David J; Tewari, Muneesh.
Afiliação
  • Giraldez MD; Department of Internal Medicine, Hematology/Oncology Division, University of Michigan, Ann Arbor, Michigan, USA.
  • Spengler RM; Department of Internal Medicine, Hematology/Oncology Division, University of Michigan, Ann Arbor, Michigan, USA.
  • Etheridge A; Pacific Northwest Research Institute, Seattle, Washington, USA.
  • Godoy PM; Lung Biology Center, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Barczak AJ; Lung Biology Center, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Srinivasan S; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, California, USA.
  • De Hoff PL; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, California, USA.
  • Tanriverdi K; Department of Medicine, Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
  • Courtright A; Neurogenomics, The Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA.
  • Lu S; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Khoory J; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Rubio R; Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Baxter D; Institute for Systems Biology, Seattle, Washington, USA.
  • Driedonks TAP; Department of Biochemistry & Cell Biology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Buermans HPJ; Leiden Genome Technology Center, Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
  • Nolte-'t Hoen ENM; Department of Biochemistry & Cell Biology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Jiang H; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
  • Wang K; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
  • Ghiran I; Institute for Systems Biology, Seattle, Washington, USA.
  • Wang YE; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Van Keuren-Jensen K; Center for Cancer Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
  • Freedman JE; Neurogenomics, The Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA.
  • Woodruff PG; Department of Medicine, Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
  • Laurent LC; Cardiovascular Research Institute and the Department of Medicine, Division of Pulmonary, Critical Care, Sleep, and Allergy, University of California San Francisco, San Francisco, California, USA.
  • Erle DJ; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, California, USA.
  • Galas DJ; Lung Biology Center, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • Tewari M; Pacific Northwest Research Institute, Seattle, Washington, USA.
Nat Biotechnol ; 36(8): 746-757, 2018 09.
Article em En | MEDLINE | ID: mdl-30010675
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / MicroRNAs Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Biotechnol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de RNA / MicroRNAs Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Biotechnol Ano de publicação: 2018 Tipo de documento: Article