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Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer

While genome-wide differential DNA methylation regions (DMRs) have been extensively identified, the comprehensive prioritization of their functional importance is still poorly explored. Here, we aggregated multiple data resources rooted in the genome, epigenome and transcriptome to systematically pr...

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Autores principales: Fan, Huihui, Zhao, Hongying, Pang, Lin, Liu, Ling, Zhang, Guanxiong, Yu, Fulong, Liu, Tingting, Xu, Chaohan, Xiao, Yun, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523937/
https://www.ncbi.nlm.nih.gov/pubmed/26239918
http://dx.doi.org/10.1038/srep12789
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author Fan, Huihui
Zhao, Hongying
Pang, Lin
Liu, Ling
Zhang, Guanxiong
Yu, Fulong
Liu, Tingting
Xu, Chaohan
Xiao, Yun
Li, Xia
author_facet Fan, Huihui
Zhao, Hongying
Pang, Lin
Liu, Ling
Zhang, Guanxiong
Yu, Fulong
Liu, Tingting
Xu, Chaohan
Xiao, Yun
Li, Xia
author_sort Fan, Huihui
collection PubMed
description While genome-wide differential DNA methylation regions (DMRs) have been extensively identified, the comprehensive prioritization of their functional importance is still poorly explored. Here, we aggregated multiple data resources rooted in the genome, epigenome and transcriptome to systematically prioritize functional DMRs (fDMRs) in colorectal cancer (CRC). As demonstrated, the top-ranked fDMRs from all of the data resources showed a strong enrichment for known methylated genes. Additionally, we analyzed those top 5% DMR-coupled coding genes using functional enrichment, which resulted in significant disease-related biological functions in contrast to the tail 5% genes. To further confirm the functional importance of the top-ranked fDMRs, we applied chromatin modification alterations of CRC cell lines to characterize their functional regulation. Specifically, we extended the utility of the top-ranked DMR-coupled genes to serve as classification and survival biomarkers, which showed a robust performance across diverse independent data sets. Collectively, our results established an integrative framework to prioritize fDMRs, which could help characterize aberrant DNA methylation-induced potential mechanisms underlying tumorigenesis and uncover epigenome-based biomarkers for clinical diagnosis and prognosis.
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spelling pubmed-45239372015-08-05 Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer Fan, Huihui Zhao, Hongying Pang, Lin Liu, Ling Zhang, Guanxiong Yu, Fulong Liu, Tingting Xu, Chaohan Xiao, Yun Li, Xia Sci Rep Article While genome-wide differential DNA methylation regions (DMRs) have been extensively identified, the comprehensive prioritization of their functional importance is still poorly explored. Here, we aggregated multiple data resources rooted in the genome, epigenome and transcriptome to systematically prioritize functional DMRs (fDMRs) in colorectal cancer (CRC). As demonstrated, the top-ranked fDMRs from all of the data resources showed a strong enrichment for known methylated genes. Additionally, we analyzed those top 5% DMR-coupled coding genes using functional enrichment, which resulted in significant disease-related biological functions in contrast to the tail 5% genes. To further confirm the functional importance of the top-ranked fDMRs, we applied chromatin modification alterations of CRC cell lines to characterize their functional regulation. Specifically, we extended the utility of the top-ranked DMR-coupled genes to serve as classification and survival biomarkers, which showed a robust performance across diverse independent data sets. Collectively, our results established an integrative framework to prioritize fDMRs, which could help characterize aberrant DNA methylation-induced potential mechanisms underlying tumorigenesis and uncover epigenome-based biomarkers for clinical diagnosis and prognosis. Nature Publishing Group 2015-08-04 /pmc/articles/PMC4523937/ /pubmed/26239918 http://dx.doi.org/10.1038/srep12789 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Fan, Huihui
Zhao, Hongying
Pang, Lin
Liu, Ling
Zhang, Guanxiong
Yu, Fulong
Liu, Tingting
Xu, Chaohan
Xiao, Yun
Li, Xia
Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title_full Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title_fullStr Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title_full_unstemmed Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title_short Systematically Prioritizing Functional Differentially Methylated Regions (fDMRs) by Integrating Multi-omics Data in Colorectal Cancer
title_sort systematically prioritizing functional differentially methylated regions (fdmrs) by integrating multi-omics data in colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523937/
https://www.ncbi.nlm.nih.gov/pubmed/26239918
http://dx.doi.org/10.1038/srep12789
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