Abstract
Epigenetic modifications of chromatin and DNA are relevant for eukaryotic gene expression. DNA methylation is the paradigm epigenetic modification that is associated with transcriptional repression. Perturbations of DNA methylation patterns are frequently associated with cancer and aging, raising a great interest in understanding the contribution of this mark to human health. High-throughput sequencing allows interrogating the status of methylated DNA at nucleotide resolution and genome-wide, bringing unprecedented views on the distribution and dynamics of this relevant modification in healthy and diseased tissues. Here we discuss commonly used wet-lab methodologies and computational approaches to identify DNA methylation patterns and measure their dynamics during biological processes in a quantitative and unbiased manner.
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Annex: Quick Reference Guide
Annex: Quick Reference Guide
Representation of the wet-lab procedure workflow
Main steps of the computational analysis pipeline
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Baubec, T., Akalin, A. (2016). Genome-Wide Analysis of DNA Methylation Patterns by High-Throughput Sequencing. In: Aransay, A., Lavín Trueba, J. (eds) Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing. Springer, Cham. https://doi.org/10.1007/978-3-319-31350-4_9
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