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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,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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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. |
format | Online Article Text |
id | pubmed-6078798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
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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