Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens

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Abstract

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

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Rodger, E. J., Stockwell, P. A., Almomani, S., Eccles, M. R., & Chatterjee, A. (2023). Protocol for generating high-quality genome-scale DNA methylation sequencing data from human cancer biospecimens. STAR Protocols, 4(4). https://doi.org/10.1016/j.xpro.2023.102714

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