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
1Center for Phytochemical Epigenome Studies, Ernest Mario School of Pharmacy, The State University of New Jersey, Piscataway, NJ 08854 USA.
2Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854 USA.
Cell Biosci. 2018 Jan 12;8:3. doi: 10.1186/s13578-018-0201-y. eCollection 2018.
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.
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.
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.
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.
我们研究了小鼠前列腺转基因腺癌(TRAMP)癌症模型中前列腺癌的基因组DNA甲基化谱,并分析了靶向基因之间的相互作用以及相关的功能途径。
分离24周龄TRAMP和C57BL/6雄性小鼠的前列腺DNA样本。通过甲基化DNA免疫沉淀(MeDIP)结合下一代测序(MeDIP-seq)分析DNA甲基化谱。然后使用 Ingenuity Pathway Analysis(IPA)软件对不同样本进行经典途径、疾病和功能以及网络分析。选择一些甲基化有显著差异的靶基因,使用甲基化特异性引物(MSP)和qPCR进行验证。
TRAMP小鼠经历了广泛的异常CpG高甲基化和低甲基化。IPA软件绘制出,两组之间有2147个基因的CpG甲基化有显著(log2变化≥2)变化。在这些基因中,TRAMP前列腺肿瘤中分别有1105个和1042个基因的甲基化显著降低和增加。IPA确定的最相关疾病是腺癌;然而,基于经典途径和网络分析,环磷酸腺苷反应元件结合蛋白(CREB)、组蛋白去乙酰化酶2(HDAC2)、谷胱甘肽S-转移酶pi(GSTP1)和多聚泛素-C(UBC)相关途径的甲基化谱显示出显著改变。感兴趣基因的MSP和qPCR结果与MeDIP-seq结果一致。
这是首次对TRAMP模型进行MeDIP-seq并结合IPA分析,为前列腺癌的全基因组甲基化谱提供了新的见解。诸如DNA甲基化等表观遗传学研究可能会为前列腺癌治疗和预防方法的生物标志物进一步开发提供新的途径和策略。