Rxivist logo

Novel epigenetic clock for fetal brain development predicts fetal epigenetic age for iPSCs and iPSC-derived neurons.

By Leonard C. Steg, Gemma L Shireby, Jennifer Imm, Jonathan P Davies, Robert Flynn, Seema C Namboori, Akshay Bhinge, Aaron R. Jeffries, Joe Burrage, Grant W A Neilson, Emma M Walker, Leo W. Perfect, Jack Price, Nicholas J. Bray, Emma L Cope, Kimberly M. Jones, Nicholas D Allen, Ehsan Pishva, Jonathan Mill, Katie Lunnon, Eilis Hannon

Posted 14 Oct 2020
bioRxiv DOI: 10.1101/2020.10.14.339093

Induced pluripotent stem cells (iPSCs) and their differentiated neurons (iPSC-neurons) are a widely used cellular model in the research of the central nervous system. However, it is unknown how well they capture age-associated processes, particularly given that pluripotent cells are only present during the early stages of mammalian development. Epigenetic clocks utilize coordinated age-associated changes in DNA methylation to make predictions that correlate strongly with chronological age, and is has been shown that the induction of pluripotency rejuvenates predicted epigenetic age. As existing clocks are not optimized for the study of brain development, to investigate more precisely the epigenetic age of iPSCs and iPSC-neurons, here, we establish the fetal brain clock (FBC), a bespoke epigenetic clock trained in prenatal neurodevelopmental samples. Our data show that the FBC outperforms other established epigenetic clocks in predicting the age of fetal brain samples. We then applied the FBC to DNA methylation data of cellular datasets that have profiled iPSCs and iPSC-derived neuronal precursor cells and neurons and find that these cell types are characterized by a fetal epigenetic age. Furthermore, while differentiation from iPSCs to neurons significantly increases the epigenetic age, iPSC-neurons are still predicted as having fetal epigenetic age. Together our findings reiterate the need for better understanding of the limitations of existing epigenetic clocks for answering biological research questions and highlight a potential limitation of iPSC-neurons as a cellular model for the research of age-related diseases as they might not fully recapitulate an aged phenotype. ### Competing Interest Statement The authors have declared no competing interest.

Download data

  • Downloaded 235 times
  • Download rankings, all-time:
    • Site-wide: 98,897
    • In neuroscience: 15,356
  • Year to date:
    • Site-wide: 27,548
  • Since beginning of last month:
    • Site-wide: 21,368

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)