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Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases

This study investigated whether the promoter region of DNA methylation positively or negatively regulates tissue-specific genes (TSGs) and if it correlates with disease pathophysiology. We assessed tissue specificity metrics in five human tissues, using sequencing-based approaches, including 52 whol...

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Autores principales: Lee, Kibaick, Moon, Sanghoon, Park, Mi-Jin, Koh, In-Uk, Choi, Nak-Hyeon, Yu, Ho-Yeong, Kim, Young Jin, Kong, Jinhwa, Kang, Hee Gyung, Kim, Song Cheol, Kim, Bong-Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404266/
https://www.ncbi.nlm.nih.gov/pubmed/32709145
http://dx.doi.org/10.3390/ijms21145056
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author Lee, Kibaick
Moon, Sanghoon
Park, Mi-Jin
Koh, In-Uk
Choi, Nak-Hyeon
Yu, Ho-Yeong
Kim, Young Jin
Kong, Jinhwa
Kang, Hee Gyung
Kim, Song Cheol
Kim, Bong-Jo
author_facet Lee, Kibaick
Moon, Sanghoon
Park, Mi-Jin
Koh, In-Uk
Choi, Nak-Hyeon
Yu, Ho-Yeong
Kim, Young Jin
Kong, Jinhwa
Kang, Hee Gyung
Kim, Song Cheol
Kim, Bong-Jo
author_sort Lee, Kibaick
collection PubMed
description This study investigated whether the promoter region of DNA methylation positively or negatively regulates tissue-specific genes (TSGs) and if it correlates with disease pathophysiology. We assessed tissue specificity metrics in five human tissues, using sequencing-based approaches, including 52 whole genome bisulfite sequencing (WGBS), 52 RNA-seq, and 144 chromatin immunoprecipitation sequencing (ChIP-seq) data. A correlation analysis was performed between the gene expression and DNA methylation levels of the TSG promoter region. The TSG enrichment analyses were conducted in the gene–disease association network (DisGeNET). The epigenomic association analyses of CpGs in enriched TSG promoters were performed using 1986 Infinium MethylationEPIC array data. A correlation analysis showed significant associations between the promoter methylation and 449 TSGs’ expression. A disease enrichment analysis showed that diabetes- and obesity-related diseases were high-ranked. In an epigenomic association analysis based on obesity, 62 CpGs showed statistical significance. Among them, three obesity-related CpGs were newly identified and replicated with statistical significance in independent data. In particular, a CpG (cg17075888 of PDK4), considered as potential therapeutic targets, were associated with complex diseases, including obesity and type 2 diabetes. The methylation changes in a substantial number of the TSG promoters showed a significant association with metabolic diseases. Collectively, our findings provided strong evidence of the relationship between tissue-specific patterns of epigenetic changes and metabolic diseases.
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spelling pubmed-74042662020-08-18 Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases Lee, Kibaick Moon, Sanghoon Park, Mi-Jin Koh, In-Uk Choi, Nak-Hyeon Yu, Ho-Yeong Kim, Young Jin Kong, Jinhwa Kang, Hee Gyung Kim, Song Cheol Kim, Bong-Jo Int J Mol Sci Article This study investigated whether the promoter region of DNA methylation positively or negatively regulates tissue-specific genes (TSGs) and if it correlates with disease pathophysiology. We assessed tissue specificity metrics in five human tissues, using sequencing-based approaches, including 52 whole genome bisulfite sequencing (WGBS), 52 RNA-seq, and 144 chromatin immunoprecipitation sequencing (ChIP-seq) data. A correlation analysis was performed between the gene expression and DNA methylation levels of the TSG promoter region. The TSG enrichment analyses were conducted in the gene–disease association network (DisGeNET). The epigenomic association analyses of CpGs in enriched TSG promoters were performed using 1986 Infinium MethylationEPIC array data. A correlation analysis showed significant associations between the promoter methylation and 449 TSGs’ expression. A disease enrichment analysis showed that diabetes- and obesity-related diseases were high-ranked. In an epigenomic association analysis based on obesity, 62 CpGs showed statistical significance. Among them, three obesity-related CpGs were newly identified and replicated with statistical significance in independent data. In particular, a CpG (cg17075888 of PDK4), considered as potential therapeutic targets, were associated with complex diseases, including obesity and type 2 diabetes. The methylation changes in a substantial number of the TSG promoters showed a significant association with metabolic diseases. Collectively, our findings provided strong evidence of the relationship between tissue-specific patterns of epigenetic changes and metabolic diseases. MDPI 2020-07-17 /pmc/articles/PMC7404266/ /pubmed/32709145 http://dx.doi.org/10.3390/ijms21145056 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Kibaick
Moon, Sanghoon
Park, Mi-Jin
Koh, In-Uk
Choi, Nak-Hyeon
Yu, Ho-Yeong
Kim, Young Jin
Kong, Jinhwa
Kang, Hee Gyung
Kim, Song Cheol
Kim, Bong-Jo
Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title_full Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title_fullStr Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title_full_unstemmed Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title_short Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases
title_sort integrated analysis of tissue-specific promoter methylation and gene expression profile in complex diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7404266/
https://www.ncbi.nlm.nih.gov/pubmed/32709145
http://dx.doi.org/10.3390/ijms21145056
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