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

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 dur...

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Autores principales: Steg, Leonard C., Shireby, Gemma L., Imm, Jennifer, Davies, Jonathan P., Franklin, Alice, Flynn, Robert, Namboori, Seema C., Bhinge, Akshay, Jeffries, Aaron R., Burrage, Joe, Neilson, Grant W. A., Walker, Emma M., Perfect, Leo W., Price, Jack, McAlonan, Grainne, Srivastava, Deepak P., Bray, Nicholas J., Cope, Emma L., Jones, Kimberley M., Allen, Nicholas D., Pishva, Ehsan, Dempster, Emma L., Lunnon, Katie, Mill, Jonathan, Hannon, Eilis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236187/
https://www.ncbi.nlm.nih.gov/pubmed/34174924
http://dx.doi.org/10.1186/s13041-021-00810-w
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author Steg, Leonard C.
Shireby, Gemma L.
Imm, Jennifer
Davies, Jonathan P.
Franklin, Alice
Flynn, Robert
Namboori, Seema C.
Bhinge, Akshay
Jeffries, Aaron R.
Burrage, Joe
Neilson, Grant W. A.
Walker, Emma M.
Perfect, Leo W.
Price, Jack
McAlonan, Grainne
Srivastava, Deepak P.
Bray, Nicholas J.
Cope, Emma L.
Jones, Kimberley M.
Allen, Nicholas D.
Pishva, Ehsan
Dempster, Emma L.
Lunnon, Katie
Mill, Jonathan
Hannon, Eilis
author_facet Steg, Leonard C.
Shireby, Gemma L.
Imm, Jennifer
Davies, Jonathan P.
Franklin, Alice
Flynn, Robert
Namboori, Seema C.
Bhinge, Akshay
Jeffries, Aaron R.
Burrage, Joe
Neilson, Grant W. A.
Walker, Emma M.
Perfect, Leo W.
Price, Jack
McAlonan, Grainne
Srivastava, Deepak P.
Bray, Nicholas J.
Cope, Emma L.
Jones, Kimberley M.
Allen, Nicholas D.
Pishva, Ehsan
Dempster, Emma L.
Lunnon, Katie
Mill, Jonathan
Hannon, Eilis
author_sort Steg, Leonard C.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13041-021-00810-w.
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spelling pubmed-82361872021-06-28 Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons Steg, Leonard C. Shireby, Gemma L. Imm, Jennifer Davies, Jonathan P. Franklin, Alice Flynn, Robert Namboori, Seema C. Bhinge, Akshay Jeffries, Aaron R. Burrage, Joe Neilson, Grant W. A. Walker, Emma M. Perfect, Leo W. Price, Jack McAlonan, Grainne Srivastava, Deepak P. Bray, Nicholas J. Cope, Emma L. Jones, Kimberley M. Allen, Nicholas D. Pishva, Ehsan Dempster, Emma L. Lunnon, Katie Mill, Jonathan Hannon, Eilis Mol Brain Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13041-021-00810-w. BioMed Central 2021-06-26 /pmc/articles/PMC8236187/ /pubmed/34174924 http://dx.doi.org/10.1186/s13041-021-00810-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Steg, Leonard C.
Shireby, Gemma L.
Imm, Jennifer
Davies, Jonathan P.
Franklin, Alice
Flynn, Robert
Namboori, Seema C.
Bhinge, Akshay
Jeffries, Aaron R.
Burrage, Joe
Neilson, Grant W. A.
Walker, Emma M.
Perfect, Leo W.
Price, Jack
McAlonan, Grainne
Srivastava, Deepak P.
Bray, Nicholas J.
Cope, Emma L.
Jones, Kimberley M.
Allen, Nicholas D.
Pishva, Ehsan
Dempster, Emma L.
Lunnon, Katie
Mill, Jonathan
Hannon, Eilis
Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title_full Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title_fullStr Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title_full_unstemmed Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title_short Novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
title_sort novel epigenetic clock for fetal brain development predicts prenatal age for cellular stem cell models and derived neurons
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236187/
https://www.ncbi.nlm.nih.gov/pubmed/34174924
http://dx.doi.org/10.1186/s13041-021-00810-w
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