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全球人类组织蛋白质谱及蛋白互作网络分析揭示了转录水平上种系特异性的差异,并鉴定了男性不育的潜在靶基因。

Global human tissue profiling and protein network analysis reveals distinct levels of transcriptional germline-specificity and identifies target genes for male infertility.

机构信息

Inserm Unit 1085-IRSET, Université de Rennes 1, EHESP School of Public Health, F-35042 Rennes, France.

出版信息

Hum Reprod. 2012 Nov;27(11):3233-48. doi: 10.1093/humrep/des301. Epub 2012 Aug 27.

Abstract

BACKGROUND

Mammalian spermatogenesis is a process that involves a complex expression program in both somatic and germ cells present in the male gonad. A number of studies have attempted to define the transcriptome of male meiosis and gametogenesis in rodents and primates. Few human transcripts, however, have been associated with testicular somatic cells and germ cells at different post-natal developmental stages and little is known about their level of germline-specificity compared with non-testicular tissues.

METHODS

We quantified human transcripts using GeneChips and a total of 47 biopsies from prepubertal children diagnosed with undescended testis, infertile adult patients whose spermatogenesis is arrested at consecutive stages and fertile control individuals. These results were integrated with data from enriched normal germ cells, non-testicular expression data, phenotype information, predicted regulatory DNA-binding motifs and interactome data.

RESULTS

Among 3580 genes for which we found differential transcript concentrations in somatic and germ cells present in human testis, 933 were undetectable in 45 embryonic and adult non-testicular tissues, including many that were corroborated at protein level by published gene annotation data and histological high-throughput protein immunodetection assays. Using motif enrichment analyses, we identified regulatory promoter elements likely involved in germline development. Finally, we constructed a regulatory disease network for human fertility by integrating expression signals, interactome information, phenotypes and functional annotation data.

CONCLUSIONS

Our results provide broad insight into the post-natal human testicular transcriptome at the level of cell populations and in a global somatic tissular context. Furthermore, they yield clues for genetic causes of male infertility and will facilitate the identification of novel cancer/testis genes as targets for cancer immunotherapies.

摘要

背景

哺乳动物的精子发生是一个涉及雄性性腺中体细胞和生殖细胞复杂表达程序的过程。许多研究试图定义啮齿动物和灵长类动物减数分裂和配子发生的转录组。然而,与睾丸体细胞和生殖细胞相关的人类转录本很少,并且在不同的出生后发育阶段与它们在生殖细胞中的特异性水平与非睾丸组织相比知之甚少。

方法

我们使用 GeneChips 定量了人类转录本,总共使用了 47 个来自未降睾丸的青春期前儿童、生精停滞在连续阶段的不育成年患者和生育控制个体的活检样本。这些结果与富集的正常生殖细胞、非睾丸表达数据、表型信息、预测的调控 DNA 结合基序和互作组数据进行了整合。

结果

在我们发现人类睾丸中体细胞和生殖细胞中差异转录浓度的 3580 个基因中,933 个在 45 个胚胎和成年非睾丸组织中无法检测到,包括许多在发表的基因注释数据和组织学高通量蛋白质免疫检测实验中得到证实的蛋白质水平。通过 motif 富集分析,我们鉴定了可能参与生殖系发育的调控启动子元件。最后,我们通过整合表达信号、互作组信息、表型和功能注释数据,构建了人类生育力的调控疾病网络。

结论

我们的结果为人群细胞水平和整体体细胞组织背景下的出生后人类睾丸转录组提供了广泛的见解。此外,它们为男性不育的遗传原因提供了线索,并将有助于鉴定新的癌症/睾丸基因作为癌症免疫治疗的靶标。

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