Open access · CC-BY
via OpenAlex
Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
Leonard C. Steg, Gemma Shireby, Jennifer Imm, Jonathan Davies, Alice Franklin, Robert J. Flynn, Seema C. Namboori, Akshay Bhinge, Aaron R. Jeffries, Joe Burrage, Grant Neilson, Emma Walker, Leo Perfect, Jack Price, Gráinne McAlonan
Molecular Brain · 2021 · ▲ 33 citations
Abstract
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 earliest stages of mammalian development. Epigenetic clocks utilize coordinated age-associated changes in DNA methylation to make predictions that correlate strongly with chronological age. It has been shown that the induction of pluripotency rejuvenates predicted epigenetic age. As existing clocks are not optimized for the study of brain development, we developed the fetal brain clock (FBC), a bespoke epigenetic clock(definition) trained in human prenatal brain samples in order to investigate more precisely the epigenetic age of iPSCs and iPSC-neurons. The FBC was tested in two independent validation cohorts across a total of 194 samples, confirming that the FBC outperforms other established epigenetic clocks in fetal brain cohorts. We applied the FBC to DNA methylation data from iPSCs and embryonic stem cells and their derived neuronal precursor cells and neurons, finding that these cell types are epigenetically characterized as having an early fetal age. Furthermore, while differentiation from iPSCs to neurons significantly increases epigenetic age, iPSC-neurons are still predicted as being fetal. Together our findings reiterate the need to better understand the limitations of existing epigenetic clocks for answering biological research questions and highlight a limitation of iPSC-neurons as a cellular model of age-related diseases.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1186/s13041-021-00810-w
- Canonical
- link ↗
- Fetched
- 2026-07-22 MST
Cite this
APA
Steg, L.C., Shireby, G., Imm, J., Davies, J., Franklin, A., Flynn, R.J., Namboori, S.C., Bhinge, A., Jeffries, A.R., Burrage, J., Neilson, G., Walker, E., Perfect, L., Price, J., McAlonan, G., Srivastava, D.P., Bray, N.J., Cope, E.L., Jones, K., & Allen, N.D. (2021). Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons. <em>Molecular Brain</em>. https://doi.org/10.1186/s13041-021-00810-w
Vancouver
Steg LC, Shireby G, Imm J, Davies J, Franklin A, Flynn RJ, et al. Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons. Molecular Brain. 2021. doi:10.1186/s13041-021-00810-w.
BibTeX
@article{leonard2021Novele,
title = {Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons},
author = {Leonard C. Steg and Gemma Shireby and Jennifer Imm and Jonathan Davies and Alice Franklin and Robert J. Flynn and Seema C. Namboori and Akshay Bhinge and Aaron R. Jeffries and Joe Burrage and Grant Neilson and Emma Walker and Leo Perfect and Jack Price and Gráinne McAlonan and Deepak P. Srivastava and Nicholas J. Bray and Emma L. Cope and Kimberley Jones and Nicholas D. Allen and Ehsan Pishva and Emma Dempster and Katie Lunnon and Jonathan Mill and Eilís Hannon},
journal = {Molecular Brain},
year = {2021},
doi = {10.1186/s13041-021-00810-w},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Communications Biology 2024
Open access · CC-BY
Development of an epigenetic clock resistant to changes in immune cell composition
Brain 2020
Open access · CC-BY
Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex
bioRxiv (Cold Spring Harbor Laboratory) 2020
Preprint · CC-BY
Recalibrating the Epigenetic Clock: Implications for Assessing Biological Age in the Human Cortex
Experimental Biology and Medicine 2020
Preprint · OA
Current perspectives on the cellular and molecular features of epigenetic ageing
Genome biology 2017
Open access · CC-BY
Multi-tissue DNA methylation age predictor in mouse
Frontiers in Aging Neuroscience 2022
Open access · CC-BY