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Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq
PURPOSE: We investigated the genomic DNA methylation profile of prostate cancer in transgenic adenocarcinoma of the mouse prostate (TRAMP) cancer model and to analyze the crosstalk among targeted genes and the related functional pathways. METHODS: Prostate DNA samples from 24-week-old TRAMP and C57B...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767006/ https://www.ncbi.nlm.nih.gov/pubmed/29344347 http://dx.doi.org/10.1186/s13578-018-0201-y |
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author | Li, Wenji Huang, Ying Sargsyan, Davit Khor, Tin Oo Guo, Yue Shu, Limin Yang, Anne Yuqing Zhang, Chengyue Paredes-Gonzalez, Ximena Verzi, Michael Hart, Ronald P. Kong, Ah-Ng |
author_facet | Li, Wenji Huang, Ying Sargsyan, Davit Khor, Tin Oo Guo, Yue Shu, Limin Yang, Anne Yuqing Zhang, Chengyue Paredes-Gonzalez, Ximena Verzi, Michael Hart, Ronald P. Kong, Ah-Ng |
author_sort | Li, Wenji |
collection | PubMed |
description | PURPOSE: We investigated the genomic DNA methylation profile of prostate cancer in transgenic adenocarcinoma of the mouse prostate (TRAMP) cancer model and to analyze the crosstalk among targeted genes and the related functional pathways. METHODS: Prostate DNA samples from 24-week-old TRAMP and C57BL/6 male mice were isolated. The DNA methylation profiles were analyzed by methylated DNA immunoprecipitation (MeDIP) followed by next-generation sequencing (MeDIP-seq). Canonical pathways, diseases and function and network analyses of the different samples were then performed using the Ingenuity(®) Pathway Analysis (IPA) software. Some target genes with significant difference in methylation were selected for validation using methylation specific primers (MSP) and qPCR. RESULTS: TRAMP mice undergo extensive aberrant CpG hyper- and hypo-methylation. There were 2147 genes with a significant (log2-change ≥ 2) change in CpG methylation between the two groups, as mapped by the IPA software. Among these genes, the methylation of 1105 and 1042 genes was significantly decreased and increased, respectively, in TRAMP prostate tumors. The top associated disease identified by IPA was adenocarcinoma; however, the cAMP response element-binding protein (CREB)-, histone deacetylase 2 (HDAC2)-, glutathione S-transferase pi (GSTP1)- and polyubiquitin-C (UBC)-related pathways showed significantly altered methylation profiles based on the canonical pathway and network analyses. MSP and qPCR results of genes of interests corroborated with MeDIP-seq findings. CONCLUSIONS: This is the first MeDIP-seq with IPA analysis of the TRAMP model to provide novel insight into the genome-wide methylation profile of prostate cancer. Studies on epigenetics, such as DNA methylation, will potentially provide novel avenues and strategies for further development of biomarkers targeted for treatment and prevention approaches for prostate cancer. |
format | Online Article Text |
id | pubmed-5767006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57670062018-01-17 Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq Li, Wenji Huang, Ying Sargsyan, Davit Khor, Tin Oo Guo, Yue Shu, Limin Yang, Anne Yuqing Zhang, Chengyue Paredes-Gonzalez, Ximena Verzi, Michael Hart, Ronald P. Kong, Ah-Ng Cell Biosci Research PURPOSE: We investigated the genomic DNA methylation profile of prostate cancer in transgenic adenocarcinoma of the mouse prostate (TRAMP) cancer model and to analyze the crosstalk among targeted genes and the related functional pathways. METHODS: Prostate DNA samples from 24-week-old TRAMP and C57BL/6 male mice were isolated. The DNA methylation profiles were analyzed by methylated DNA immunoprecipitation (MeDIP) followed by next-generation sequencing (MeDIP-seq). Canonical pathways, diseases and function and network analyses of the different samples were then performed using the Ingenuity(®) Pathway Analysis (IPA) software. Some target genes with significant difference in methylation were selected for validation using methylation specific primers (MSP) and qPCR. RESULTS: TRAMP mice undergo extensive aberrant CpG hyper- and hypo-methylation. There were 2147 genes with a significant (log2-change ≥ 2) change in CpG methylation between the two groups, as mapped by the IPA software. Among these genes, the methylation of 1105 and 1042 genes was significantly decreased and increased, respectively, in TRAMP prostate tumors. The top associated disease identified by IPA was adenocarcinoma; however, the cAMP response element-binding protein (CREB)-, histone deacetylase 2 (HDAC2)-, glutathione S-transferase pi (GSTP1)- and polyubiquitin-C (UBC)-related pathways showed significantly altered methylation profiles based on the canonical pathway and network analyses. MSP and qPCR results of genes of interests corroborated with MeDIP-seq findings. CONCLUSIONS: This is the first MeDIP-seq with IPA analysis of the TRAMP model to provide novel insight into the genome-wide methylation profile of prostate cancer. Studies on epigenetics, such as DNA methylation, will potentially provide novel avenues and strategies for further development of biomarkers targeted for treatment and prevention approaches for prostate cancer. BioMed Central 2018-01-12 /pmc/articles/PMC5767006/ /pubmed/29344347 http://dx.doi.org/10.1186/s13578-018-0201-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Li, Wenji Huang, Ying Sargsyan, Davit Khor, Tin Oo Guo, Yue Shu, Limin Yang, Anne Yuqing Zhang, Chengyue Paredes-Gonzalez, Ximena Verzi, Michael Hart, Ronald P. Kong, Ah-Ng Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title | Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title_full | Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title_fullStr | Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title_full_unstemmed | Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title_short | Epigenetic alterations in TRAMP mice: epigenome DNA methylation profiling using MeDIP-seq |
title_sort | epigenetic alterations in tramp mice: epigenome dna methylation profiling using medip-seq |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767006/ https://www.ncbi.nlm.nih.gov/pubmed/29344347 http://dx.doi.org/10.1186/s13578-018-0201-y |
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