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Clinical and Preclinical Models for Maximizing Healthspan pp 297–312Cite as

Quantitative Analysis of DNA Methylation by Bisulfite Sequencing

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 2138))

Abstract

Changes in deoxyribonucleic acid (DNA) methylation are shown to occur with aging in mammals. Besides changes that seem to be essentially stochastic, methylation levels of certain CpG sites display a strong correlation with age. Collectively, methylation of such CpG sites could be used as “epigenetic clocks” to predict biological age. Numerous versions of the epigenetic clock have been proposed, all of them based on quantitative estimation of the methylation levels of individual CpG sites. Different methods were elaborated for quantitative measurements of DNA methylation, with the most reliable of these based on bisulfite treatment of DNA. We present here a protocol for assessment of the methylation levels of individual CpG sites in target DNA sequences by the direct sequencing of polymerase chain reaction (PCR) amplification products obtained from bisulfate-converted DNA.

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Author information

Authors and Affiliations

  1. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia

    Vasily V. Ashapkin, Lyudmila I. Kutueva & Boris F. Vanyushin

Authors
  1. Vasily V. Ashapkin
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  2. Lyudmila I. Kutueva
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  3. Boris F. Vanyushin
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Corresponding author

Correspondence to Vasily V. Ashapkin .

Editor information

Editors and Affiliations

  1. Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil

    Paul C. Guest

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Ashapkin, V.V., Kutueva, L.I., Vanyushin, B.F. (2020). Quantitative Analysis of DNA Methylation by Bisulfite Sequencing. In: Guest, P. (eds) Clinical and Preclinical Models for Maximizing Healthspan. Methods in Molecular Biology, vol 2138. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0471-7_21

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  • DOI: https://doi.org/10.1007/978-1-0716-0471-7_21

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0470-0

  • Online ISBN: 978-1-0716-0471-7

  • eBook Packages: Springer Protocols

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