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系统综述人卵母细胞中的 mRNA 表达:理解卵母细胞能力的分子机制。

Systematic review of mRNA expression in human oocytes: understanding the molecular mechanisms underlying oocyte competence.

机构信息

Institute for Women's Health, Preimplantation Genetics Group, University College London, 84-86 Chenies Mews, Bloomsbury, London, WC1E 6HU, UK.

出版信息

J Assist Reprod Genet. 2023 Oct;40(10):2283-2295. doi: 10.1007/s10815-023-02906-9. Epub 2023 Aug 10.

Abstract

The biggest cell in the human body, the oocyte, encloses almost the complete machinery to start life. Despite all the research performed to date, defining oocyte quality is still a major goal of reproductive science. It is the consensus that mature oocytes are transcriptionally silent although, during their growth, the cell goes through stages of active transcription and translation, which will endow the oocyte with the competence to undergo nuclear maturation, and the oocyte and embryo to initiate timely translation before the embryonic genome is fully activated (cytoplasmic maturation). A systematic search was conducted across three electronic databases and the literature was critically appraised using the KMET score system. The aim was to identify quantitative differences in transcriptome of human oocytes that may link to patient demographics that could affect oocyte competence. Data was analysed following the principles of thematic analysis. Differences in the transcriptome were identified with respect to age or pathological conditions and affected chromosome mis segregation, perturbations of the nuclear envelope, premature maturation, and alterations in metabolic pathways-amongst others-in human oocytes.

摘要

人体中最大的细胞——卵母细胞,包含了启动生命所需的几乎所有完整机制。尽管迄今为止已经进行了大量研究,但定义卵母细胞质量仍然是生殖科学的主要目标。人们普遍认为成熟的卵母细胞是转录沉默的,尽管在其生长过程中,细胞经历了活跃的转录和翻译阶段,这将赋予卵母细胞进行核成熟的能力,并且卵母细胞和胚胎在胚胎基因组完全激活之前(细胞质成熟)开始及时翻译。我们在三个电子数据库中进行了系统搜索,并使用 KMET 评分系统对文献进行了严格评估。目的是确定可能与影响卵母细胞能力的患者人口统计学特征相关的人类卵母细胞转录组中的定量差异。数据是按照主题分析的原则进行分析的。在转录组方面,我们发现了与年龄或病理状况相关的差异,这些差异会影响染色体错误分离、核膜扰动、过早成熟以及代谢途径改变等方面的问题——这些问题在人类卵母细胞中都存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1973/10504133/7cfb1996cc17/10815_2023_2906_Fig1_HTML.jpg

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