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Evaluation of whole-genome DNA methylation sequencing library preparation protocols
BACKGROUND: With rapidly dropping sequencing cost, the popularity of whole-genome DNA methylation sequencing has been on the rise. Multiple library preparation protocols currently exist. We have performed 22 whole-genome DNA methylation sequencing experiments on snap frozen human samples, and extens...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214260/ https://www.ncbi.nlm.nih.gov/pubmed/34147133 http://dx.doi.org/10.1186/s13072-021-00401-y |
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author | Morrison, Jacob Koeman, Julie M. Johnson, Benjamin K. Foy, Kelly K. Beddows, Ian Zhou, Wanding Chesla, David W. Rossell, Larissa L. Siegwald, Emily J. Adams, Marie Shen, Hui |
author_facet | Morrison, Jacob Koeman, Julie M. Johnson, Benjamin K. Foy, Kelly K. Beddows, Ian Zhou, Wanding Chesla, David W. Rossell, Larissa L. Siegwald, Emily J. Adams, Marie Shen, Hui |
author_sort | Morrison, Jacob |
collection | PubMed |
description | BACKGROUND: With rapidly dropping sequencing cost, the popularity of whole-genome DNA methylation sequencing has been on the rise. Multiple library preparation protocols currently exist. We have performed 22 whole-genome DNA methylation sequencing experiments on snap frozen human samples, and extensively benchmarked common library preparation protocols for whole-genome DNA methylation sequencing, including three traditional bisulfite-based protocols and a new enzyme-based protocol. In addition, different input DNA quantities were compared for two kits compatible with a reduced starting quantity. In addition, we also present bioinformatic analysis pipelines for sequencing data from each of these library types. RESULTS: An assortment of metrics were collected for each kit, including raw read statistics, library quality and uniformity metrics, cytosine retention, and CpG beta value consistency between technical replicates. Overall, the NEBNext Enzymatic Methyl-seq and Swift Accel-NGS Methyl-Seq kits performed quantitatively better than the other two protocols. In addition, the NEB and Swift kits performed well at low-input amounts, validating their utility in applications where DNA is the limiting factor. RESULTS: The NEBNext Enzymatic Methyl-seq kit appeared to be the best option for whole-genome DNA methylation sequencing of high-quality DNA, closely followed by the Swift kit, which potentially works better for degraded samples. Further, a general bioinformatic pipeline is applicable across the four protocols, with the exception of extra trimming needed for the Swift Biosciences’s Accel-NGS Methyl-Seq protocol to remove the Adaptase sequence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13072-021-00401-y. |
format | Online Article Text |
id | pubmed-8214260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82142602021-06-23 Evaluation of whole-genome DNA methylation sequencing library preparation protocols Morrison, Jacob Koeman, Julie M. Johnson, Benjamin K. Foy, Kelly K. Beddows, Ian Zhou, Wanding Chesla, David W. Rossell, Larissa L. Siegwald, Emily J. Adams, Marie Shen, Hui Epigenetics Chromatin Research BACKGROUND: With rapidly dropping sequencing cost, the popularity of whole-genome DNA methylation sequencing has been on the rise. Multiple library preparation protocols currently exist. We have performed 22 whole-genome DNA methylation sequencing experiments on snap frozen human samples, and extensively benchmarked common library preparation protocols for whole-genome DNA methylation sequencing, including three traditional bisulfite-based protocols and a new enzyme-based protocol. In addition, different input DNA quantities were compared for two kits compatible with a reduced starting quantity. In addition, we also present bioinformatic analysis pipelines for sequencing data from each of these library types. RESULTS: An assortment of metrics were collected for each kit, including raw read statistics, library quality and uniformity metrics, cytosine retention, and CpG beta value consistency between technical replicates. Overall, the NEBNext Enzymatic Methyl-seq and Swift Accel-NGS Methyl-Seq kits performed quantitatively better than the other two protocols. In addition, the NEB and Swift kits performed well at low-input amounts, validating their utility in applications where DNA is the limiting factor. RESULTS: The NEBNext Enzymatic Methyl-seq kit appeared to be the best option for whole-genome DNA methylation sequencing of high-quality DNA, closely followed by the Swift kit, which potentially works better for degraded samples. Further, a general bioinformatic pipeline is applicable across the four protocols, with the exception of extra trimming needed for the Swift Biosciences’s Accel-NGS Methyl-Seq protocol to remove the Adaptase sequence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13072-021-00401-y. BioMed Central 2021-06-19 /pmc/articles/PMC8214260/ /pubmed/34147133 http://dx.doi.org/10.1186/s13072-021-00401-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Morrison, Jacob Koeman, Julie M. Johnson, Benjamin K. Foy, Kelly K. Beddows, Ian Zhou, Wanding Chesla, David W. Rossell, Larissa L. Siegwald, Emily J. Adams, Marie Shen, Hui Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title | Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title_full | Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title_fullStr | Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title_full_unstemmed | Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title_short | Evaluation of whole-genome DNA methylation sequencing library preparation protocols |
title_sort | evaluation of whole-genome dna methylation sequencing library preparation protocols |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8214260/ https://www.ncbi.nlm.nih.gov/pubmed/34147133 http://dx.doi.org/10.1186/s13072-021-00401-y |
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