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The SEQC2 epigenomics quality control (EpiQC) study
BACKGROUND: Cytosine modifications in DNA such as 5-methylcytosine (5mC) underlie a broad range of developmental processes, maintain cellular lineage specification, and can define or stratify types of cancer and other diseases. However, the wide variety of approaches available to interrogate these m...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650396/ https://www.ncbi.nlm.nih.gov/pubmed/34872606 http://dx.doi.org/10.1186/s13059-021-02529-2 |
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author | Foox, Jonathan Nordlund, Jessica Lalancette, Claudia Gong, Ting Lacey, Michelle Lent, Samantha Langhorst, Bradley W. Ponnaluri, V. K. Chaithanya Williams, Louise Padmanabhan, Karthik Ramaswamy Cavalcante, Raymond Lundmark, Anders Butler, Daniel Mozsary, Christopher Gurvitch, Justin Greally, John M. Suzuki, Masako Menor, Mark Nasu, Masaki Alonso, Alicia Sheridan, Caroline Scherer, Andreas Bruinsma, Stephen Golda, Gosia Muszynska, Agata Łabaj, Paweł P. Campbell, Matthew A. Wos, Frank Raine, Amanda Liljedahl, Ulrika Axelsson, Tomas Wang, Charles Chen, Zhong Yang, Zhaowei Li, Jing Yang, Xiaopeng Wang, Hongwei Melnick, Ari Guo, Shang Blume, Alexander Franke, Vedran Ibanez de Caceres, Inmaculada Rodriguez-Antolin, Carlos Rosas, Rocio Davis, Justin Wade Ishii, Jennifer Megherbi, Dalila B. Xiao, Wenming Liao, Will Xu, Joshua Hong, Huixiao Ning, Baitang Tong, Weida Akalin, Altuna Wang, Yunliang Deng, Youping Mason, Christopher E. |
author_facet | Foox, Jonathan Nordlund, Jessica Lalancette, Claudia Gong, Ting Lacey, Michelle Lent, Samantha Langhorst, Bradley W. Ponnaluri, V. K. Chaithanya Williams, Louise Padmanabhan, Karthik Ramaswamy Cavalcante, Raymond Lundmark, Anders Butler, Daniel Mozsary, Christopher Gurvitch, Justin Greally, John M. Suzuki, Masako Menor, Mark Nasu, Masaki Alonso, Alicia Sheridan, Caroline Scherer, Andreas Bruinsma, Stephen Golda, Gosia Muszynska, Agata Łabaj, Paweł P. Campbell, Matthew A. Wos, Frank Raine, Amanda Liljedahl, Ulrika Axelsson, Tomas Wang, Charles Chen, Zhong Yang, Zhaowei Li, Jing Yang, Xiaopeng Wang, Hongwei Melnick, Ari Guo, Shang Blume, Alexander Franke, Vedran Ibanez de Caceres, Inmaculada Rodriguez-Antolin, Carlos Rosas, Rocio Davis, Justin Wade Ishii, Jennifer Megherbi, Dalila B. Xiao, Wenming Liao, Will Xu, Joshua Hong, Huixiao Ning, Baitang Tong, Weida Akalin, Altuna Wang, Yunliang Deng, Youping Mason, Christopher E. |
author_sort | Foox, Jonathan |
collection | PubMed |
description | BACKGROUND: Cytosine modifications in DNA such as 5-methylcytosine (5mC) underlie a broad range of developmental processes, maintain cellular lineage specification, and can define or stratify types of cancer and other diseases. However, the wide variety of approaches available to interrogate these modifications has created a need for harmonized materials, methods, and rigorous benchmarking to improve genome-wide methylome sequencing applications in clinical and basic research. Here, we present a multi-platform assessment and cross-validated resource for epigenetics research from the FDA’s Epigenomics Quality Control Group. RESULTS: Each sample is processed in multiple replicates by three whole-genome bisulfite sequencing (WGBS) protocols (TruSeq DNA methylation, Accel-NGS MethylSeq, and SPLAT), oxidative bisulfite sequencing (TrueMethyl), enzymatic deamination method (EMSeq), targeted methylation sequencing (Illumina Methyl Capture EPIC), single-molecule long-read nanopore sequencing from Oxford Nanopore Technologies, and 850k Illumina methylation arrays. After rigorous quality assessment and comparison to Illumina EPIC methylation microarrays and testing on a range of algorithms (Bismark, BitmapperBS, bwa-meth, and BitMapperBS), we find overall high concordance between assays, but also differences in efficiency of read mapping, CpG capture, coverage, and platform performance, and variable performance across 26 microarray normalization algorithms. CONCLUSIONS: The data provided herein can guide the use of these DNA reference materials in epigenomics research, as well as provide best practices for experimental design in future studies. By leveraging seven human cell lines that are designated as publicly available reference materials, these data can be used as a baseline to advance epigenomics research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02529-2. |
format | Online Article Text |
id | pubmed-8650396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86503962021-12-07 The SEQC2 epigenomics quality control (EpiQC) study Foox, Jonathan Nordlund, Jessica Lalancette, Claudia Gong, Ting Lacey, Michelle Lent, Samantha Langhorst, Bradley W. Ponnaluri, V. K. Chaithanya Williams, Louise Padmanabhan, Karthik Ramaswamy Cavalcante, Raymond Lundmark, Anders Butler, Daniel Mozsary, Christopher Gurvitch, Justin Greally, John M. Suzuki, Masako Menor, Mark Nasu, Masaki Alonso, Alicia Sheridan, Caroline Scherer, Andreas Bruinsma, Stephen Golda, Gosia Muszynska, Agata Łabaj, Paweł P. Campbell, Matthew A. Wos, Frank Raine, Amanda Liljedahl, Ulrika Axelsson, Tomas Wang, Charles Chen, Zhong Yang, Zhaowei Li, Jing Yang, Xiaopeng Wang, Hongwei Melnick, Ari Guo, Shang Blume, Alexander Franke, Vedran Ibanez de Caceres, Inmaculada Rodriguez-Antolin, Carlos Rosas, Rocio Davis, Justin Wade Ishii, Jennifer Megherbi, Dalila B. Xiao, Wenming Liao, Will Xu, Joshua Hong, Huixiao Ning, Baitang Tong, Weida Akalin, Altuna Wang, Yunliang Deng, Youping Mason, Christopher E. Genome Biol Research BACKGROUND: Cytosine modifications in DNA such as 5-methylcytosine (5mC) underlie a broad range of developmental processes, maintain cellular lineage specification, and can define or stratify types of cancer and other diseases. However, the wide variety of approaches available to interrogate these modifications has created a need for harmonized materials, methods, and rigorous benchmarking to improve genome-wide methylome sequencing applications in clinical and basic research. Here, we present a multi-platform assessment and cross-validated resource for epigenetics research from the FDA’s Epigenomics Quality Control Group. RESULTS: Each sample is processed in multiple replicates by three whole-genome bisulfite sequencing (WGBS) protocols (TruSeq DNA methylation, Accel-NGS MethylSeq, and SPLAT), oxidative bisulfite sequencing (TrueMethyl), enzymatic deamination method (EMSeq), targeted methylation sequencing (Illumina Methyl Capture EPIC), single-molecule long-read nanopore sequencing from Oxford Nanopore Technologies, and 850k Illumina methylation arrays. After rigorous quality assessment and comparison to Illumina EPIC methylation microarrays and testing on a range of algorithms (Bismark, BitmapperBS, bwa-meth, and BitMapperBS), we find overall high concordance between assays, but also differences in efficiency of read mapping, CpG capture, coverage, and platform performance, and variable performance across 26 microarray normalization algorithms. CONCLUSIONS: The data provided herein can guide the use of these DNA reference materials in epigenomics research, as well as provide best practices for experimental design in future studies. By leveraging seven human cell lines that are designated as publicly available reference materials, these data can be used as a baseline to advance epigenomics research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02529-2. BioMed Central 2021-12-06 /pmc/articles/PMC8650396/ /pubmed/34872606 http://dx.doi.org/10.1186/s13059-021-02529-2 Text en © The Author(s) 2021, corrected publication 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 Foox, Jonathan Nordlund, Jessica Lalancette, Claudia Gong, Ting Lacey, Michelle Lent, Samantha Langhorst, Bradley W. Ponnaluri, V. K. Chaithanya Williams, Louise Padmanabhan, Karthik Ramaswamy Cavalcante, Raymond Lundmark, Anders Butler, Daniel Mozsary, Christopher Gurvitch, Justin Greally, John M. Suzuki, Masako Menor, Mark Nasu, Masaki Alonso, Alicia Sheridan, Caroline Scherer, Andreas Bruinsma, Stephen Golda, Gosia Muszynska, Agata Łabaj, Paweł P. Campbell, Matthew A. Wos, Frank Raine, Amanda Liljedahl, Ulrika Axelsson, Tomas Wang, Charles Chen, Zhong Yang, Zhaowei Li, Jing Yang, Xiaopeng Wang, Hongwei Melnick, Ari Guo, Shang Blume, Alexander Franke, Vedran Ibanez de Caceres, Inmaculada Rodriguez-Antolin, Carlos Rosas, Rocio Davis, Justin Wade Ishii, Jennifer Megherbi, Dalila B. Xiao, Wenming Liao, Will Xu, Joshua Hong, Huixiao Ning, Baitang Tong, Weida Akalin, Altuna Wang, Yunliang Deng, Youping Mason, Christopher E. The SEQC2 epigenomics quality control (EpiQC) study |
title | The SEQC2 epigenomics quality control (EpiQC) study |
title_full | The SEQC2 epigenomics quality control (EpiQC) study |
title_fullStr | The SEQC2 epigenomics quality control (EpiQC) study |
title_full_unstemmed | The SEQC2 epigenomics quality control (EpiQC) study |
title_short | The SEQC2 epigenomics quality control (EpiQC) study |
title_sort | seqc2 epigenomics quality control (epiqc) study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650396/ https://www.ncbi.nlm.nih.gov/pubmed/34872606 http://dx.doi.org/10.1186/s13059-021-02529-2 |
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