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Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens
Aberrant DNA methylation is a universal feature of cancer. Here, we present a protocol for generating high-quality genome-scale DNA methylation sequencing data from a variety of human cancer biospecimens including immortalized cell lines, fresh-frozen surgical resections, and formalin-fixed paraffin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682265/ https://www.ncbi.nlm.nih.gov/pubmed/37950864 http://dx.doi.org/10.1016/j.xpro.2023.102714 |
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author | Rodger, Euan J. Stockwell, Peter A. Almomani, Suzan Eccles, Michael R. Chatterjee, Aniruddha |
author_facet | Rodger, Euan J. Stockwell, Peter A. Almomani, Suzan Eccles, Michael R. Chatterjee, Aniruddha |
author_sort | Rodger, Euan J. |
collection | PubMed |
description | Aberrant DNA methylation is a universal feature of cancer. Here, we present a protocol for generating high-quality genome-scale DNA methylation sequencing data from a variety of human cancer biospecimens including immortalized cell lines, fresh-frozen surgical resections, and formalin-fixed paraffin-embedded tissues. We describe steps for DNA extraction considerations, reduced representation bisulfite sequencing, data processing and quality control, and downstream data analysis and integration. This protocol is also applicable for other human diseases and methylome profiling in other organisms. For complete details on the use and execution of this protocol, please refer to Rodger et al. (2023).(1) |
format | Online Article Text |
id | pubmed-10682265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106822652023-11-30 Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens Rodger, Euan J. Stockwell, Peter A. Almomani, Suzan Eccles, Michael R. Chatterjee, Aniruddha STAR Protoc Protocol Aberrant DNA methylation is a universal feature of cancer. Here, we present a protocol for generating high-quality genome-scale DNA methylation sequencing data from a variety of human cancer biospecimens including immortalized cell lines, fresh-frozen surgical resections, and formalin-fixed paraffin-embedded tissues. We describe steps for DNA extraction considerations, reduced representation bisulfite sequencing, data processing and quality control, and downstream data analysis and integration. This protocol is also applicable for other human diseases and methylome profiling in other organisms. For complete details on the use and execution of this protocol, please refer to Rodger et al. (2023).(1) Elsevier 2023-11-10 /pmc/articles/PMC10682265/ /pubmed/37950864 http://dx.doi.org/10.1016/j.xpro.2023.102714 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Rodger, Euan J. Stockwell, Peter A. Almomani, Suzan Eccles, Michael R. Chatterjee, Aniruddha Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title | Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title_full | Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title_fullStr | Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title_full_unstemmed | Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title_short | Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens |
title_sort | protocol for generating high-quality genome-scale dna methylation sequencing data from human cancer biospecimens |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682265/ https://www.ncbi.nlm.nih.gov/pubmed/37950864 http://dx.doi.org/10.1016/j.xpro.2023.102714 |
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