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通过微阵列分析检测恒河猴卵巢的年龄特异性基因表达谱。

Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis.

作者信息

Wei Hengxi, Liu Xiangjie, Yuan Jihong, Li Li, Zhang Dongdong, Guo Xinzheng, Liu Lin, Zhang Shouquan

机构信息

Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, China.

State Key Laboratory of Medicinal Chemical Biology, Department of Cell Biology and Genetics, College of Life Sciences, Nankai University, Tianjin 300071, China.

出版信息

Biomed Res Int. 2015;2015:625192. doi: 10.1155/2015/625192. Epub 2015 Sep 2.

Abstract

The biological function of human ovaries declines with age. To identify the potential molecular changes in ovarian aging, we performed genome-wide gene expression analysis by microarray of ovaries from young, middle-aged, and old rhesus monkeys. Microarray data was validated by quantitative real-time PCR. Results showed that a total of 503 (60 upregulated, 443 downregulated) and 84 (downregulated) genes were differentially expressed in old ovaries compared to young and middle-aged groups, respectively. No difference in gene expression was found between middle-aged and young groups. Differentially expressed genes were mainly enriched in cell and organelle, cellular and physiological process, binding, and catalytic activity. These genes were primarily associated with KEGG pathways of cell cycle, DNA replication and repair, oocyte meiosis and maturation, MAPK, TGF-beta, and p53 signaling pathway. Genes upregulated were involved in aging, defense response, oxidation reduction, and negative regulation of cellular process; genes downregulated have functions in reproduction, cell cycle, DNA and RNA process, macromolecular complex assembly, and positive regulation of macromolecule metabolic process. These findings show that monkey ovary undergoes substantial change in global transcription with age. Gene expression profiles are useful in understanding the mechanisms underlying ovarian aging and age-associated infertility in primates.

摘要

人类卵巢的生物学功能会随着年龄的增长而衰退。为了确定卵巢衰老过程中潜在的分子变化,我们通过微阵列技术对幼年、中年和老年恒河猴的卵巢进行了全基因组基因表达分析。微阵列数据通过定量实时PCR进行了验证。结果显示,与幼年组和中年组相比,老年卵巢中分别共有503个(60个上调,443个下调)和84个(下调)基因差异表达。中年组和幼年组之间未发现基因表达差异。差异表达基因主要富集在细胞和细胞器、细胞和生理过程、结合以及催化活性方面。这些基因主要与细胞周期、DNA复制和修复、卵母细胞减数分裂和成熟、MAPK、TGF-β和p53信号通路的KEGG途径相关。上调的基因参与衰老、防御反应、氧化还原以及细胞过程的负调控;下调的基因在生殖、细胞周期、DNA和RNA过程、大分子复合物组装以及大分子代谢过程的正调控中发挥作用。这些发现表明,随着年龄的增长,猴卵巢在整体转录水平上发生了显著变化。基因表达谱有助于理解灵长类动物卵巢衰老和与年龄相关的不孕症的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f799/4571527/0d1d859122e9/BMRI2015-625192.001.jpg

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