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Related Experiment Video

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Epigenetic age-predictor for mice based on three CpG sites.

Yang Han1,2, Monika Eipel1,2, Julia Franzen1,2

  • 1Helmholtz-Institute for Biomedical Engineering, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Aachen, Germany.

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|August 25, 2018
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Summary

A new epigenetic clock using DNA methylation in three genes accurately estimates mouse age. This cost-effective biomarker can assess biological age in mouse studies, revealing accelerated aging in DBA/2 mice.

Keywords:
DNA methylationageagingclockdevelopmental biologygeneticsgenomicsmousepredictorsignature

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Area of Science:

  • Epigenetics
  • Genomics
  • Mammalian Biology

Background:

  • Epigenetic clocks are powerful tools for estimating biological age.
  • Deep-sequencing methylome analysis has been used to develop epigenetic clocks for mice.
  • A simpler, cost-effective method is needed for large-scale studies.

Purpose of the Study:

  • To develop a simplified epigenetic clock for accurate age estimation in mice.
  • To validate the use of pyrosequencing for DNA methylation analysis at specific CpG sites.
  • To compare the epigenetic aging of different mouse strains.

Main Methods:

  • DNA methylation levels were analyzed using pyrosequencing.
  • Analysis focused on three specific CpG sites within the Prima1, Hsf4, and Kcns1 genes.
  • Murine blood samples from different strains (DBA/2 and C57BL6) were used.

Main Results:

  • Precise estimation of chronological age was achieved using DNA methylation levels at the three selected CpGs.
  • DBA/2 mice exhibited accelerated epigenetic aging compared to C57BL6 mice.
  • The three-CpG predictor demonstrated a correlation with known life expectancies.

Conclusions:

  • A three-CpG DNA methylation assay serves as a simple and cost-effective biomarker for murine age determination.
  • This method is suitable for assessing biological age in large intervention studies involving mice.
  • Epigenetic aging patterns can differ between mouse strains, reflecting variations in lifespan.