人类生殖过程和疾病中的长非编码 RNA

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Reproduction and Development Pub Date : 2024-01-18 DOI:10.1002/mrd.23728
Le Zhang, Hailong Sun, Xiujuan Chen
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引用次数: 0

摘要

不孕不育已成为全球疾病负担。虽然辅助生殖技术得到了广泛应用,但全世界的辅助生殖出生率不超过 30%。因此,了解生殖机制可为提高活产率和增强植入的临床效果提供新策略。据报道,长非编码 RNA(lncRNA)在许多物种的各种生物过程和疾病中发挥着调控作用。在这篇综述中,我们特别关注了 lncRNA 在人类生殖中的作用。我们总结了lncRNAs在精子发生和成熟、精子活力和形态、卵泡发育和成熟、胚胎发育和着床等生殖重要过程中的功能和机制。然后,我们强调了 lncRNA 作为不孕症治疗的良好诊断分子生物标志物和治疗靶点的重要性和多样性潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Long noncoding RNAs in human reproductive processes and diseases

Infertility has become a global disease burden. Although assisted reproductive technologies are widely used, the assisted reproduction birth rate is no more than 30% worldwide. Therefore, understanding the mechanisms of reproduction can provide new strategies to improve live birth rates and clinical outcomes of enhanced implantation. Long noncoding RNAs (lncRNAs) have been reported to exert regulatory roles in various biological processes and diseases in many species. In this review, we especially focus on the role of lncRNAs in human reproduction. We summarize the function and mechanisms of lncRNAs in processes vital to reproduction, such as spermatogenesis and maturation, sperm motility and morphology, follicle development and maturation, embryo development and implantation. Then, we highlight the importance and diverse potential of lncRNAs as good diagnostic molecular biomarkers and therapeutic targets for infertility treatment.

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来源期刊
CiteScore
5.20
自引率
0.00%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Molecular Reproduction and Development takes an integrated, systems-biology approach to understand the dynamic continuum of cellular, reproductive, and developmental processes. This journal fosters dialogue among diverse disciplines through primary research communications and educational forums, with the philosophy that fundamental findings within the life sciences result from a convergence of disciplines. Increasingly, readers of the Journal need to be informed of diverse, yet integrated, topics impinging on their areas of interest. This requires an expansion in thinking towards non-traditional, interdisciplinary experimental design and data analysis.
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