Abstract
Hannum and colleagues performed DNA methylation sequencing to examine the relationship between DNA methylome and aging rate. Notably, they succeeded in building a quantitative and reproducible model based on the epigenetic bio-markers to predict aging rate with high accuracy. This progress enlightens us in many aspects particularly in applying this novel set of bio-markers on studying the mechanism of aging rate using adult tissue-specific stem cells, building up a potential quantitative model to explore the mechanism for other epigenetic factors like non-coding RNA, and understanding the principle and mechanism of 3D chromatin structure in epigenetic modulation. © 2013 Higher Education Press and Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Li, M., Liu, W., Yuan, T., Bai, R., Liu, G. H., Zhang, W., & Qu, J. (2013). DNA methylome: Unveiling your biological age. Protein and Cell, 4(10), 723–725. https://doi.org/10.1007/s13238-013-3913-0
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.