Zhao Yangxing, Li Qiaoli, Yao Chenjiang, Wang Zhaoxia, Zhou Yin, Wang Yajing, Liu Limin, Wang Yifei, Wang Lianyun, Qiao Zhongdong
School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
Hum Reprod. 2006 Jun;21(6):1583-90. doi: 10.1093/humrep/del027. Epub 2006 Feb 24.
Accumulated evidence proves that mature spermatozoa contain a complex yet specific array of mRNA, which could provide information on the past events of spermatogenesis.
To quantitatively microdissect these mRNA transcripts by a digital approach.
Serial analysis of gene expression (SAGE) was used to study the mRNA transcripts from ejaculate of a fertile individual and of a pool of 10 fertile men. Online DAVID software suite was also utilized to cluster the UniGene data.
A SAGE library from the individual produced 20,237 raw tags representing 2459 unique tags and that from pooled 10 men generated 21,052 raw tags representing 2712 unique tags. When the unique tags occurring > or = 4 times were analysed, 564 overlapping tags were produced by 638 unique tags from the individual and 682 from the pooled library. Fifty-four of these overlapped tags were considered to be novel genes. Online analysis of the overlapping tags revealed 25 functional gene groups, with the dominant one comprising 96 nuclear protein genes involving transcription and transcription regulation and also a group with 84 ribosomal subunit genes involving protein synthesis.
A SAGE analysis of ejaculate from fertile men has revealed a large number of transcripts, which occur in steady frequencies and probably have important roles in spermatogenesis and fertilization.
越来越多的证据表明,成熟精子含有一系列复杂而独特的mRNA,这些mRNA能够提供有关精子发生过程中过往事件的信息。
采用数字化方法对这些mRNA转录本进行定量分析。
利用基因表达序列分析(SAGE)研究一名生育能力正常个体以及10名生育能力正常男性精液样本中的mRNA转录本。同时使用在线DAVID软件套件对UniGene数据进行聚类分析。
来自个体的SAGE文库产生了20,237个原始标签,代表2459个独特标签;来自10人混合样本的文库产生了21,052个原始标签,代表2712个独特标签。对出现次数≥4次的独特标签进行分析时,个体文库中的638个独特标签和混合文库中的682个独特标签产生了564个重叠标签。其中54个重叠标签被认为是新基因。对重叠标签的在线分析揭示了25个功能基因组,其中占主导地位的一组包含96个涉及转录和转录调控的核蛋白基因,还有一组包含84个涉及蛋白质合成的核糖体亚基基因。
对生育能力正常男性精液的SAGE分析揭示了大量转录本,这些转录本以稳定的频率出现,可能在精子发生和受精过程中发挥重要作用。