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An extension to: Systematic assessment of commercially available low-input miRNA library preparation kits.
Heinicke, Fatima; Zhong, Xiangfu; Zucknick, Manuela; Breidenbach, Johannes; Sundaram, Arvind Y M; T Flåm, Siri; Leithaug, Magnus; Dalland, Marianne; Rayner, Simon; Lie, Benedicte A; Gilfillan, Gregor D.
Afiliação
  • Heinicke F; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Zhong X; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Zucknick M; Department of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo , Oslo, Norway.
  • Breidenbach J; National Forest Inventory, Norwegian Institute for Bioeconomy Research , Ås, Norway.
  • Sundaram AYM; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • T Flåm S; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Leithaug M; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Dalland M; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Rayner S; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Lie BA; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
  • Gilfillan GD; Department of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
RNA Biol ; 17(9): 1284-1292, 2020 09.
Article em En | MEDLINE | ID: mdl-32436772
ABSTRACT
High-throughput sequencing has emerged as the favoured method to study microRNA (miRNA) expression, but biases introduced during library preparation have been reported. We recently compared the performance (sensitivity, reliability, titration response and differential expression) of six commercially-available kits on synthetic miRNAs and human RNA, where library preparation was performed by the vendors. We hereby supplement this study with data from two further commonly used kits (NEBNext, NEXTflex) whose manufacturers initially declined to participate. NEXTflex demonstrated the highest sensitivity, which may reflect its use of partially-randomized adapter sequences, but overall performance was lower than the QIAseq and TailorMix kits. NEBNext showed intermediate performance. We reaffirm that biases are kit specific, complicating the comparison of miRNA datasets generated using different kits.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Engenharia Genética / Biblioteca Gênica / MicroRNAs Idioma: En Revista: RNA Biol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Engenharia Genética / Biblioteca Gênica / MicroRNAs Idioma: En Revista: RNA Biol Ano de publicação: 2020 Tipo de documento: Article