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DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation

BACKGROUND: Knowledge about regulating transcription factors (TFs) for osteoblastogenesis from mesenchymal stem cells (MSCs) is limited. Therefore, we investigated the relationship between genomic regions subject to DNA-methylation changes during osteoblastogenesis and the TFs known to directly inte...

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Autores principales: Gómez, Rodolfo, Barter, Matt J., Alonso-Pérez, Ana, Skelton, Andrew J., Proctor, Carole, Herrero-Beaumont, Gabriel, Young, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996951/
https://www.ncbi.nlm.nih.gov/pubmed/36890579
http://dx.doi.org/10.1186/s40659-023-00417-6
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author Gómez, Rodolfo
Barter, Matt J.
Alonso-Pérez, Ana
Skelton, Andrew J.
Proctor, Carole
Herrero-Beaumont, Gabriel
Young, David A.
author_facet Gómez, Rodolfo
Barter, Matt J.
Alonso-Pérez, Ana
Skelton, Andrew J.
Proctor, Carole
Herrero-Beaumont, Gabriel
Young, David A.
author_sort Gómez, Rodolfo
collection PubMed
description BACKGROUND: Knowledge about regulating transcription factors (TFs) for osteoblastogenesis from mesenchymal stem cells (MSCs) is limited. Therefore, we investigated the relationship between genomic regions subject to DNA-methylation changes during osteoblastogenesis and the TFs known to directly interact with these regulatory regions. RESULTS: The genome-wide DNA-methylation signature of MSCs differentiated to osteoblasts and adipocytes was determined using the Illumina HumanMethylation450 BeadChip array. During adipogenesis no CpGs passed our test for significant methylation changes. Oppositely, during osteoblastogenesis we identified 2462 differently significantly methylated CpGs (adj. p < 0.05). These resided outside of CpGs islands and were significantly enriched in enhancer regions. We confirmed the correlation between DNA-methylation and gene expression. Accordingly, we developed a bioinformatic tool to analyse differentially methylated regions and the TFs interacting with them. By overlaying our osteoblastogenesis differentially methylated regions with ENCODE TF ChIP-seq data we obtained a set of candidate TFs associated to DNA-methylation changes. Among them, ZEB1 TF was highly related with DNA-methylation. Using RNA interference, we confirmed that ZEB1, and ZEB2, played a key role in adipogenesis and osteoblastogenesis processes. For clinical relevance, ZEB1 mRNA expression in human bone samples was evaluated. This expression positively correlated with weight, body mass index, and PPARγ expression. CONCLUSIONS: In this work we describe an osteoblastogenesis-associated DNA-methylation profile and, using these data, validate a novel computational tool to identify key TFs associated to age-related disease processes. By means of this tool we identified and confirmed ZEB TFs as mediators involved in the MSCs differentiation to osteoblasts and adipocytes, and obesity-related bone adiposity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00417-6.
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spelling pubmed-99969512023-03-10 DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation Gómez, Rodolfo Barter, Matt J. Alonso-Pérez, Ana Skelton, Andrew J. Proctor, Carole Herrero-Beaumont, Gabriel Young, David A. Biol Res Research Article BACKGROUND: Knowledge about regulating transcription factors (TFs) for osteoblastogenesis from mesenchymal stem cells (MSCs) is limited. Therefore, we investigated the relationship between genomic regions subject to DNA-methylation changes during osteoblastogenesis and the TFs known to directly interact with these regulatory regions. RESULTS: The genome-wide DNA-methylation signature of MSCs differentiated to osteoblasts and adipocytes was determined using the Illumina HumanMethylation450 BeadChip array. During adipogenesis no CpGs passed our test for significant methylation changes. Oppositely, during osteoblastogenesis we identified 2462 differently significantly methylated CpGs (adj. p < 0.05). These resided outside of CpGs islands and were significantly enriched in enhancer regions. We confirmed the correlation between DNA-methylation and gene expression. Accordingly, we developed a bioinformatic tool to analyse differentially methylated regions and the TFs interacting with them. By overlaying our osteoblastogenesis differentially methylated regions with ENCODE TF ChIP-seq data we obtained a set of candidate TFs associated to DNA-methylation changes. Among them, ZEB1 TF was highly related with DNA-methylation. Using RNA interference, we confirmed that ZEB1, and ZEB2, played a key role in adipogenesis and osteoblastogenesis processes. For clinical relevance, ZEB1 mRNA expression in human bone samples was evaluated. This expression positively correlated with weight, body mass index, and PPARγ expression. CONCLUSIONS: In this work we describe an osteoblastogenesis-associated DNA-methylation profile and, using these data, validate a novel computational tool to identify key TFs associated to age-related disease processes. By means of this tool we identified and confirmed ZEB TFs as mediators involved in the MSCs differentiation to osteoblasts and adipocytes, and obesity-related bone adiposity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-023-00417-6. BioMed Central 2023-03-08 /pmc/articles/PMC9996951/ /pubmed/36890579 http://dx.doi.org/10.1186/s40659-023-00417-6 Text en © The Author(s) 2023 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 Article
Gómez, Rodolfo
Barter, Matt J.
Alonso-Pérez, Ana
Skelton, Andrew J.
Proctor, Carole
Herrero-Beaumont, Gabriel
Young, David A.
DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title_full DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title_fullStr DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title_full_unstemmed DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title_short DNA methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
title_sort dna methylation analysis identifies key transcription factors involved in mesenchymal stem cell osteogenic differentiation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996951/
https://www.ncbi.nlm.nih.gov/pubmed/36890579
http://dx.doi.org/10.1186/s40659-023-00417-6
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