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Systematic assessment of commercially available low-input miRNA library preparation kits

High-throughput sequencing is increasingly favoured to assay the presence and abundance of microRNAs (miRNAs) in biological samples, even from low RNA amounts, and a number of commercial vendors now offer kits that allow miRNA sequencing from sub-nanogram (ng) inputs. Although biases introduced duri...

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Autores principales: Heinicke, Fatima, Zhong, Xiangfu, Zucknick, Manuela, Breidenbach, Johannes, Sundaram, Arvind Y. M., T. Flåm, Siri, Leithaug, Magnus, Dalland, Marianne, Farmer, Andrew, Henderson, Jordana M., Hussong, Melanie A., Moll, Pamela, Nguyen, Loan, McNulty, Amanda, Shaffer, Jonathan M., Shore, Sabrina, Yip, Hoichong Karen, Vitkovska, Jana, Rayner, Simon, Lie, Benedicte A, Gilfillan, Gregor D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948978/
https://www.ncbi.nlm.nih.gov/pubmed/31559901
http://dx.doi.org/10.1080/15476286.2019.1667741
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author Heinicke, Fatima
Zhong, Xiangfu
Zucknick, Manuela
Breidenbach, Johannes
Sundaram, Arvind Y. M.
T. Flåm, Siri
Leithaug, Magnus
Dalland, Marianne
Farmer, Andrew
Henderson, Jordana M.
Hussong, Melanie A.
Moll, Pamela
Nguyen, Loan
McNulty, Amanda
Shaffer, Jonathan M.
Shore, Sabrina
Yip, Hoichong Karen
Vitkovska, Jana
Rayner, Simon
Lie, Benedicte A
Gilfillan, Gregor D.
author_facet Heinicke, Fatima
Zhong, Xiangfu
Zucknick, Manuela
Breidenbach, Johannes
Sundaram, Arvind Y. M.
T. Flåm, Siri
Leithaug, Magnus
Dalland, Marianne
Farmer, Andrew
Henderson, Jordana M.
Hussong, Melanie A.
Moll, Pamela
Nguyen, Loan
McNulty, Amanda
Shaffer, Jonathan M.
Shore, Sabrina
Yip, Hoichong Karen
Vitkovska, Jana
Rayner, Simon
Lie, Benedicte A
Gilfillan, Gregor D.
author_sort Heinicke, Fatima
collection PubMed
description High-throughput sequencing is increasingly favoured to assay the presence and abundance of microRNAs (miRNAs) in biological samples, even from low RNA amounts, and a number of commercial vendors now offer kits that allow miRNA sequencing from sub-nanogram (ng) inputs. Although biases introduced during library preparation have been documented, the relative performance of current reagent kits has not been investigated in detail. Here, six commercial kits capable of handling <100ng total RNA input were used for library preparation, performed by kit manufactures, on synthetic miRNAs of known quantities and human total RNA samples. We compared the performance of miRNA detection sensitivity, reliability, titration response and the ability to detect differentially expressed miRNAs. In addition, we assessed the use of unique molecular identifiers (UMI) sequence tags in one kit. We observed differences in detection sensitivity and ability to identify differentially expressed miRNAs between the kits, but none were able to detect the full repertoire of synthetic miRNAs. The reliability within the replicates of all kits was good, while larger differences were observed between the kits, although none could accurately quantify the relative levels of the majority of miRNAs. UMI tags, at least within the input ranges tested, offered little advantage to improve data utility. In conclusion, biases in miRNA abundance are heavily influenced by the kit used for library preparation, suggesting that comparisons of datasets prepared by different procedures should be made with caution. This article is intended to assist researchers select the most appropriate kit for their experimental conditions.
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spelling pubmed-69489782020-01-13 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 Farmer, Andrew Henderson, Jordana M. Hussong, Melanie A. Moll, Pamela Nguyen, Loan McNulty, Amanda Shaffer, Jonathan M. Shore, Sabrina Yip, Hoichong Karen Vitkovska, Jana Rayner, Simon Lie, Benedicte A Gilfillan, Gregor D. RNA Biol Research Paper High-throughput sequencing is increasingly favoured to assay the presence and abundance of microRNAs (miRNAs) in biological samples, even from low RNA amounts, and a number of commercial vendors now offer kits that allow miRNA sequencing from sub-nanogram (ng) inputs. Although biases introduced during library preparation have been documented, the relative performance of current reagent kits has not been investigated in detail. Here, six commercial kits capable of handling <100ng total RNA input were used for library preparation, performed by kit manufactures, on synthetic miRNAs of known quantities and human total RNA samples. We compared the performance of miRNA detection sensitivity, reliability, titration response and the ability to detect differentially expressed miRNAs. In addition, we assessed the use of unique molecular identifiers (UMI) sequence tags in one kit. We observed differences in detection sensitivity and ability to identify differentially expressed miRNAs between the kits, but none were able to detect the full repertoire of synthetic miRNAs. The reliability within the replicates of all kits was good, while larger differences were observed between the kits, although none could accurately quantify the relative levels of the majority of miRNAs. UMI tags, at least within the input ranges tested, offered little advantage to improve data utility. In conclusion, biases in miRNA abundance are heavily influenced by the kit used for library preparation, suggesting that comparisons of datasets prepared by different procedures should be made with caution. This article is intended to assist researchers select the most appropriate kit for their experimental conditions. Taylor & Francis 2019-09-27 /pmc/articles/PMC6948978/ /pubmed/31559901 http://dx.doi.org/10.1080/15476286.2019.1667741 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Heinicke, Fatima
Zhong, Xiangfu
Zucknick, Manuela
Breidenbach, Johannes
Sundaram, Arvind Y. M.
T. Flåm, Siri
Leithaug, Magnus
Dalland, Marianne
Farmer, Andrew
Henderson, Jordana M.
Hussong, Melanie A.
Moll, Pamela
Nguyen, Loan
McNulty, Amanda
Shaffer, Jonathan M.
Shore, Sabrina
Yip, Hoichong Karen
Vitkovska, Jana
Rayner, Simon
Lie, Benedicte A
Gilfillan, Gregor D.
Systematic assessment of commercially available low-input miRNA library preparation kits
title Systematic assessment of commercially available low-input miRNA library preparation kits
title_full Systematic assessment of commercially available low-input miRNA library preparation kits
title_fullStr Systematic assessment of commercially available low-input miRNA library preparation kits
title_full_unstemmed Systematic assessment of commercially available low-input miRNA library preparation kits
title_short Systematic assessment of commercially available low-input miRNA library preparation kits
title_sort systematic assessment of commercially available low-input mirna library preparation kits
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948978/
https://www.ncbi.nlm.nih.gov/pubmed/31559901
http://dx.doi.org/10.1080/15476286.2019.1667741
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