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多项研究中正常组织和癌组织DNA甲基化年龄特征的表征。

Characterization of age signatures of DNA methylation in normal and cancer tissues from multiple studies.

作者信息

Kim Jihyun, Kim Kyung, Kim Hyosil, Yoon Gyesoon, Lee KiYoung

机构信息

Department of Biomedical Informatics, Ajou University School of Medicine, Suwon 443-380, South Korea.

出版信息

BMC Genomics. 2014 Nov 19;15(1):997. doi: 10.1186/1471-2164-15-997.

Abstract

BACKGROUND

DNA methylation (DNAm) levels can be used to predict the chronological age of tissues; however, the characteristics of DNAm age signatures in normal and cancer tissues are not well studied using multiple studies.

RESULTS

We studied approximately 4000 normal and cancer samples with multiple tissue types from diverse studies, and using linear and nonlinear regression models identified reliable tissue type-invariant DNAm age signatures. A normal signature comprising 127 CpG loci was highly enriched on the X chromosome. Age-hypermethylated loci were enriched for guanine-and-cytosine-rich regions in CpG islands (CGIs), whereas age-hypomethylated loci were enriched for adenine-and-thymine-rich regions in non-CGIs. However, the cancer signature comprised only 26 age-hypomethylated loci, none on the X chromosome, and with no overlap with the normal signature. Genes related to the normal signature were enriched for aging-related gene ontology terms including metabolic processes, immune system processes, and cell proliferation. The related gene products of the normal signature had more than the average number of interacting partners in a protein interaction network and had a tendency not to interact directly with each other. The genomic sequences of the normal signature were well conserved and the age-associated DNAm levels could satisfactorily predict the chronological ages of tissues regardless of tissue type. Interestingly, the age-associated DNAm increases or decreases of the normal signature were aberrantly accelerated in cancer samples.

CONCLUSION

These tissue type-invariant DNAm age signatures in normal and cancer can be used to address important questions in developmental biology and cancer research.

摘要

背景

DNA甲基化(DNAm)水平可用于预测组织的实际年龄;然而,使用多项研究对正常组织和癌组织中DNAm年龄特征的特性尚未进行充分研究。

结果

我们研究了来自不同研究的约4000个具有多种组织类型的正常和癌样本,并使用线性和非线性回归模型确定了可靠的组织类型不变的DNAm年龄特征。一个由127个CpG位点组成的正常特征在X染色体上高度富集。年龄高甲基化位点在CpG岛(CGI)中富含鸟嘌呤和胞嘧啶的区域,而年龄低甲基化位点在非CGI中富含腺嘌呤和胸腺嘧啶的区域。然而,癌症特征仅包含26个年龄低甲基化位点,没有一个在X染色体上,且与正常特征没有重叠。与正常特征相关的基因在包括代谢过程、免疫系统过程和细胞增殖等与衰老相关的基因本体术语中富集。正常特征的相关基因产物在蛋白质相互作用网络中的相互作用伙伴数量超过平均水平,并且倾向于不直接相互作用。正常特征的基因组序列高度保守,与年龄相关的DNAm水平可以令人满意地预测组织的实际年龄,而与组织类型无关。有趣的是,在癌样本中,正常特征与年龄相关的DNAm增加或减少异常加速。

结论

这些正常和癌组织中组织类型不变的DNAm年龄特征可用于解决发育生物学和癌症研究中的重要问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565d/4289351/cc983388bf77/12864_2014_6827_Fig1_HTML.jpg

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