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人类精子中的全基因组微小RNA表达谱及其与精子质量的关系

Genome-Wide microRNA Expression Profiling in Human Spermatozoa and Its Relation to Sperm Quality.

作者信息

Cassuto Nino-Guy, Boitrelle Florence, Mouik Hakima, Larue Lionel, Keromnes Gwenola, Lédée Nathalie, Part-Ellenberg Laura, Dray Geraldine, Ruoso Léa, Rouen Alexandre, De Vos John, Assou Said

机构信息

ART Unit, Drouot Laboratory, 75009 Paris, France.

Biology-Reproduction-Epigenetic-Environment-Development BREED, INRAE, Paris Saclay University, UVSQ, 78350 Jouy-en-Josas, France.

出版信息

Genes (Basel). 2025 Jan 4;16(1):53. doi: 10.3390/genes16010053.

Abstract

BACKGROUND

Sperm samples are separated into bad and good quality samples in function of their phenotype, but this does not indicate their genetic quality.

METHODS

Here, we used GeneChip miRNA arrays to analyze microRNA expression in ten semen samples selected based on high-magnification morphology (score 6 vs. score 0) to identify miRNAs linked to sperm phenotype.

RESULTS

We found 86 upregulated and 21 downregulated miRNAs in good-quality sperm (score 6) compared with bad-quality sperm samples (score 0) (fold change > 2 and -value < 0.05). (FC × 30, = 8.43 × 10), (FC × 12, = 3.75 × 10), (FC × 8, = 0.0031), (FC × 5.6, = 0.0223), (FC × 4.83, = 0.0008) and (FC × 4, = 1.61 × 10) were among these upregulated miRNAs. In silico prediction algorithms predicted that miRNAs upregulated in good-quality sperm targeted 910 genes involved in key biological functions of spermatozoa, such as cell death and survival, cellular movement, molecular transport, response to stimuli, metabolism, and the regulation of oxidative stress. Genes deregulated in bad-quality sperm were involved in cell growth and proliferation.

CONCLUSIONS

This study reveals that miRNA profiling may provide potential biomarkers of sperm quality.

摘要

背景

精子样本根据其表型被分为质量差和质量好的样本,但这并不能表明它们的基因质量。

方法

在此,我们使用基因芯片miRNA阵列分析了基于高倍镜形态学选择的十个精液样本中的微小RNA表达(评分6与评分0),以鉴定与精子表型相关的miRNA。

结果

与质量差的精子样本(评分0)相比,我们在质量好的精子(评分6)中发现了86个上调的miRNA和21个下调的miRNA(倍数变化>2且P值<0.05)。上调的miRNA中有(FC×30,P = 8.43×10)、(FC×12,P = 3.75×10)、(FC×8,P = 0.0031)、(FC×5.6,P = 0.0223)、(FC×4.83,P = 0.0008)和(FC×4,P = 1.61×10)。计算机预测算法预测,质量好的精子中上调的miRNA靶向910个参与精子关键生物学功能的基因,如细胞死亡与存活、细胞运动、分子运输、对刺激的反应、代谢以及氧化应激的调节。质量差的精子中失调的基因参与细胞生长和增殖。

结论

本研究表明,miRNA谱分析可能提供精子质量的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f26b/11765444/996926ae7c52/genes-16-00053-g001.jpg

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