Uterine Transcriptome: Understanding Physiology and Disease Processes.

Uterine Transcriptome: Understanding Physiology and Disease Processes.
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DOI:
10.3390/biology12040634
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发表时间:
2023-04-21
期刊:
影响因子:
4.2
通讯作者:
--
中科院分区:
生物学3区
文献类型:
--
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对正常月经和妇科疾病(包括子宫内膜异位症、子宫腺肌症、子宫肌瘤和反复妊娠丢失)中的子宫内膜和子宫肌层的RNA测序已被证明有助于促进我们对这些过程背后的细胞复杂性和动力学的理解。通过使用单细胞RNA测序,该领域发现了多个新的子宫内膜细胞亚群,包括免疫细胞、上皮细胞和干细胞/祖细胞,它们同步工作以协调月经周期和胚泡着床,其异常活动可能有助于解释上述病理状态,这可能有助于开发新的治疗干预措施。在这篇综述中,我们综述了与通过子宫转录组了解子宫有关的RNA生物学的最新进展。近年来,转录学使我们通过更精确的分子分析,对包括月经周期在内的基本生殖生理学有了更深入的了解。在正常月经周期中,子宫内膜的mRNA转录水平波动,表明炎症细胞的相对募集和丰度的变化,以及子宫内膜的容受性和重塑的变化。除了通过RNA测序更全面地了解病理性妇科疾病(如子宫内膜异位症、子宫肌瘤和子宫腺肌症)的分子基础外,这还使研究人员能够在正常月经周期和病理性妇科疾病期间创建转录组图谱。这样的见解可能会导致对良性妇科疾病的更有针对性和个性化的治疗。在这里,我们提供了一个最新的进展,转录组分析的正常和病理子宫内膜。
RNA sequencing of the human endometrium and myometrium during normal menstruation and in gynecological disorders including endometriosis, adenomyosis, fibroids, and recurrent pregnancy loss has proved instrumental in advancing our understanding of the cellular complexity and dynamics that underlie these processes. Through the use of single-cell RNA sequencing, the field has uncovered multiple novel endometrial cell subpopulations that include immune cells, epithelial cells, and stem/progenitor cells that work in synchrony to coordinate the menstrual cycle and blastocyst implantation, and whose aberrant activity likely helps explain the aforementioned pathological states, which may aid in development of novel therapeutic interventions. In this review, we summarize recent advances in RNA biology pertaining to understanding the uterus through its transcriptome. In recent years, transcriptomics has enabled us to gain a deeper understanding of fundamental reproductive physiology, including the menstrual cycle, through a more precise molecular analysis. The endometrial mRNA transcript levels fluctuate during the normal menstrual cycle, indicating changes in the relative recruitment and abundance of inflammatory cells, as well as changes in the receptivity and remodeling of the endometrium. In addition to providing a more comprehensive understanding of the molecular underpinnings of pathological gynecological conditions such as endometriosis, leiomyomas, and adenomyosis through RNA sequencing, this has allowed researchers to create transcriptome profiles during both normal menstrual cycles and pathological gynecological conditions. Such insights could potentially lead to more targeted and personalized therapies for benign gynecological conditions. Here, we provide an overview of recent advances in transcriptome analysis of normal and pathological endometrium.
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