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PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation

BACKGROUND: Dyskeratosis congenita (DKC) and idiopathic aplastic anemia (AA) are bone marrow failure syndromes that share characteristics of premature aging with severe telomere attrition. Aging is also reflected by DNA methylation changes, which can be utilized to predict donor age. There is eviden...

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Autores principales: Cypris, Olivia, Eipel, Monika, Franzen, Julia, Rösseler, Corinna, Tharmapalan, Vithurithra, Kuo, Chao-Chung, Vieri, Margherita, Nikolić, Miloš, Kirschner, Martin, Brümmendorf, Tim H., Zenke, Martin, Lampert, Angelika, Beier, Fabian, Wagner, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439574/
https://www.ncbi.nlm.nih.gov/pubmed/32819411
http://dx.doi.org/10.1186/s13148-020-00914-5
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author Cypris, Olivia
Eipel, Monika
Franzen, Julia
Rösseler, Corinna
Tharmapalan, Vithurithra
Kuo, Chao-Chung
Vieri, Margherita
Nikolić, Miloš
Kirschner, Martin
Brümmendorf, Tim H.
Zenke, Martin
Lampert, Angelika
Beier, Fabian
Wagner, Wolfgang
author_facet Cypris, Olivia
Eipel, Monika
Franzen, Julia
Rösseler, Corinna
Tharmapalan, Vithurithra
Kuo, Chao-Chung
Vieri, Margherita
Nikolić, Miloš
Kirschner, Martin
Brümmendorf, Tim H.
Zenke, Martin
Lampert, Angelika
Beier, Fabian
Wagner, Wolfgang
author_sort Cypris, Olivia
collection PubMed
description BACKGROUND: Dyskeratosis congenita (DKC) and idiopathic aplastic anemia (AA) are bone marrow failure syndromes that share characteristics of premature aging with severe telomere attrition. Aging is also reflected by DNA methylation changes, which can be utilized to predict donor age. There is evidence that such epigenetic age predictions are accelerated in premature aging syndromes, but it is yet unclear how this is related to telomere length. DNA methylation analysis may support diagnosis of DKC and AA, which still remains a challenge for these rare diseases. RESULTS: In this study, we analyzed blood samples of 70 AA and 18 DKC patients to demonstrate that their epigenetic age predictions are overall increased, albeit not directly correlated with telomere length. Aberrant DNA methylation was observed in the gene PRDM8 in DKC and AA as well as in other diseases with premature aging phenotype, such as Down syndrome and Hutchinson-Gilford-Progeria syndrome. Aberrant DNA methylation patterns were particularly found within subsets of cell populations in DKC and AA samples as measured with barcoded bisulfite amplicon sequencing (BBA-seq). To gain insight into the functional relevance of PRDM8, we used CRISPR/Cas9 technology to generate induced pluripotent stem cells (iPSCs) with heterozygous and homozygous knockout. Loss of PRDM8 impaired hematopoietic and neuronal differentiation of iPSCs, even in the heterozygous knockout clone, but it did not impact on epigenetic age. CONCLUSION: Taken together, our results demonstrate that epigenetic aging is accelerated in DKC and AA, independent from telomere attrition. Furthermore, aberrant DNA methylation in PRDM8 provides another biomarker for bone marrow failure syndromes and modulation of this gene in cellular subsets may be related to the hematopoietic and neuronal phenotypes observed in premature aging syndromes. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-74395742020-08-24 PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation Cypris, Olivia Eipel, Monika Franzen, Julia Rösseler, Corinna Tharmapalan, Vithurithra Kuo, Chao-Chung Vieri, Margherita Nikolić, Miloš Kirschner, Martin Brümmendorf, Tim H. Zenke, Martin Lampert, Angelika Beier, Fabian Wagner, Wolfgang Clin Epigenetics Research BACKGROUND: Dyskeratosis congenita (DKC) and idiopathic aplastic anemia (AA) are bone marrow failure syndromes that share characteristics of premature aging with severe telomere attrition. Aging is also reflected by DNA methylation changes, which can be utilized to predict donor age. There is evidence that such epigenetic age predictions are accelerated in premature aging syndromes, but it is yet unclear how this is related to telomere length. DNA methylation analysis may support diagnosis of DKC and AA, which still remains a challenge for these rare diseases. RESULTS: In this study, we analyzed blood samples of 70 AA and 18 DKC patients to demonstrate that their epigenetic age predictions are overall increased, albeit not directly correlated with telomere length. Aberrant DNA methylation was observed in the gene PRDM8 in DKC and AA as well as in other diseases with premature aging phenotype, such as Down syndrome and Hutchinson-Gilford-Progeria syndrome. Aberrant DNA methylation patterns were particularly found within subsets of cell populations in DKC and AA samples as measured with barcoded bisulfite amplicon sequencing (BBA-seq). To gain insight into the functional relevance of PRDM8, we used CRISPR/Cas9 technology to generate induced pluripotent stem cells (iPSCs) with heterozygous and homozygous knockout. Loss of PRDM8 impaired hematopoietic and neuronal differentiation of iPSCs, even in the heterozygous knockout clone, but it did not impact on epigenetic age. CONCLUSION: Taken together, our results demonstrate that epigenetic aging is accelerated in DKC and AA, independent from telomere attrition. Furthermore, aberrant DNA methylation in PRDM8 provides another biomarker for bone marrow failure syndromes and modulation of this gene in cellular subsets may be related to the hematopoietic and neuronal phenotypes observed in premature aging syndromes. GRAPHICAL ABSTRACT: [Image: see text] BioMed Central 2020-08-20 /pmc/articles/PMC7439574/ /pubmed/32819411 http://dx.doi.org/10.1186/s13148-020-00914-5 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Cypris, Olivia
Eipel, Monika
Franzen, Julia
Rösseler, Corinna
Tharmapalan, Vithurithra
Kuo, Chao-Chung
Vieri, Margherita
Nikolić, Miloš
Kirschner, Martin
Brümmendorf, Tim H.
Zenke, Martin
Lampert, Angelika
Beier, Fabian
Wagner, Wolfgang
PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title_full PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title_fullStr PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title_full_unstemmed PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title_short PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
title_sort prdm8 reveals aberrant dna methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439574/
https://www.ncbi.nlm.nih.gov/pubmed/32819411
http://dx.doi.org/10.1186/s13148-020-00914-5
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