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Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling

RNA-seq is increasingly employed for quantitative profiling of small RNAs (e.g., microRNAs, piRNAs, snoRNAs) in diverse sample types including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the multiple small RNA-seq library preparation methods in use, however,...

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Autores principales: Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-‘t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, Tewari, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078798/
https://www.ncbi.nlm.nih.gov/pubmed/30010675
http://dx.doi.org/10.1038/nbt.4183
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author Giraldez, MD
Spengler, RM
Etheridge, A
Godoy, PM
Barczak, AJ
Srinivasan, S
De Hoff, PL
Tanriverdi, K
Courtright, A
Lu, S
Khoory, J
Rubio, R
Baxter, D
Driedonks, TAP
Buermans, HPJ
Nolte-‘t Hoen, ENM
Jiang, H
Wang, K
Ghiran, I
Wang, Y
Van Keuren-Jensen, K
Freedman, JE
Woodruff, PG
Laurent, LC
Erle, DJ
Galas, DJ
Tewari, M
author_facet Giraldez, MD
Spengler, RM
Etheridge, A
Godoy, PM
Barczak, AJ
Srinivasan, S
De Hoff, PL
Tanriverdi, K
Courtright, A
Lu, S
Khoory, J
Rubio, R
Baxter, D
Driedonks, TAP
Buermans, HPJ
Nolte-‘t Hoen, ENM
Jiang, H
Wang, K
Ghiran, I
Wang, Y
Van Keuren-Jensen, K
Freedman, JE
Woodruff, PG
Laurent, LC
Erle, DJ
Galas, DJ
Tewari, M
author_sort Giraldez, MD
collection PubMed
description RNA-seq is increasingly employed for quantitative profiling of small RNAs (e.g., microRNAs, piRNAs, snoRNAs) in diverse sample types including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the multiple small RNA-seq library preparation methods in use, however, have not been systematically assessed. We report systematic results obtained by a consortium of nine labs that independently sequenced reference, ‘ground truth’, samples of synthetic small RNAs and human plasma-derived RNA. Three commercially available library preparation methods employing adapters of defined sequence and six methods using adapters with degenerate bases were assessed. Both protocol- and sequence-specific biases were identified, including biases that reduce the ability of small RNA-seq to accurately measure adenosine-to-inosine editing in microRNAs. We report 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 found to be accurate and reproducible across laboratories and methods.
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spelling pubmed-60787982019-01-16 Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling Giraldez, MD Spengler, RM Etheridge, A Godoy, PM Barczak, AJ Srinivasan, S De Hoff, PL Tanriverdi, K Courtright, A Lu, S Khoory, J Rubio, R Baxter, D Driedonks, TAP Buermans, HPJ Nolte-‘t Hoen, ENM Jiang, H Wang, K Ghiran, I Wang, Y Van Keuren-Jensen, K Freedman, JE Woodruff, PG Laurent, LC Erle, DJ Galas, DJ Tewari, M Nat Biotechnol Article RNA-seq is increasingly employed for quantitative profiling of small RNAs (e.g., microRNAs, piRNAs, snoRNAs) in diverse sample types including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the multiple small RNA-seq library preparation methods in use, however, have not been systematically assessed. We report systematic results obtained by a consortium of nine labs that independently sequenced reference, ‘ground truth’, samples of synthetic small RNAs and human plasma-derived RNA. Three commercially available library preparation methods employing adapters of defined sequence and six methods using adapters with degenerate bases were assessed. Both protocol- and sequence-specific biases were identified, including biases that reduce the ability of small RNA-seq to accurately measure adenosine-to-inosine editing in microRNAs. We report 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 found to be accurate and reproducible across laboratories and methods. 2018-07-16 2018-09 /pmc/articles/PMC6078798/ /pubmed/30010675 http://dx.doi.org/10.1038/nbt.4183 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Giraldez, MD
Spengler, RM
Etheridge, A
Godoy, PM
Barczak, AJ
Srinivasan, S
De Hoff, PL
Tanriverdi, K
Courtright, A
Lu, S
Khoory, J
Rubio, R
Baxter, D
Driedonks, TAP
Buermans, HPJ
Nolte-‘t Hoen, ENM
Jiang, H
Wang, K
Ghiran, I
Wang, Y
Van Keuren-Jensen, K
Freedman, JE
Woodruff, PG
Laurent, LC
Erle, DJ
Galas, DJ
Tewari, M
Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title_full Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title_fullStr Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title_full_unstemmed Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title_short Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
title_sort comprehensive multi-center assessment of accuracy, reproducibility and bias of small rna-seq methods for quantitative mirna profiling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078798/
https://www.ncbi.nlm.nih.gov/pubmed/30010675
http://dx.doi.org/10.1038/nbt.4183
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