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Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons

Authors :
Leonard C. Steg
Gemma L. Shireby
Jennifer Imm
Jonathan P. Davies
Alice Franklin
Robert Flynn
Seema C. Namboori
Akshay Bhinge
Aaron R. Jeffries
Joe Burrage
Grant W. A. Neilson
Emma M. Walker
Leo W. Perfect
Jack Price
Grainne McAlonan
Deepak P. Srivastava
Nicholas J. Bray
Emma L. Cope
Kimberley M. Jones
Nicholas D. Allen
Ehsan Pishva
Emma L. Dempster
Katie Lunnon
Jonathan Mill
Eilis Hannon
Source :
Molecular Brain, Vol 14, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

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 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.

Details

Language :
English
ISSN :
17566606
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Molecular Brain
Publication Type :
Academic Journal
Accession number :
edsdoj.18efbbb134be4d4aa4a20747dc35b350
Document Type :
article
Full Text :
https://doi.org/10.1186/s13041-021-00810-w