小柯机器人

科学家绘制出人类子宫内膜的时间和空间动态图谱
2021-12-05 13:20

英国威康桑格研究所Roser Vento-Tormo等研究人员合作绘制出人类子宫内膜的时间和空间动态图谱。2021年12月2日,《自然—遗传学》杂志在线发表了这项成果。

研究人员生成了人类子宫和三维子宫内膜类器官培养物的单细胞和空间参考图谱。研究人员剖析了决定腔内和腺体微环境中上皮系细胞命运的信号传导途径。研究人员对子宫内膜器官的基准测试揭示了在体内和体外调节分泌系和纤毛系分化的途径和细胞状态。在体外下调WNT或NOTCH途径分别增加了分泌系和纤毛系的分化效率。

研究人员利用这个细胞图谱来解读了来自子宫内膜癌和子宫内膜病变的大量数据,阐明了这些疾病中占主导地位的细胞类型。这些机制上的见解为未来开发包括子宫内膜异位症和子宫内膜癌等常见疾病的治疗方法提供了一个平台。

据介绍,子宫内膜是子宫的粘膜,在整个月经周期中随着卵巢激素的变化而发生动态变化。

附:英文原文

Title: Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro

Author: Garcia-Alonso, Luz, Handfield, Louis-Franois, Roberts, Kenny, Nikolakopoulou, Konstantina, Fernando, Ridma C., Gardner, Lucy, Woodhams, Benjamin, Arutyunyan, Anna, Polanski, Krzysztof, Hoo, Regina, Sancho-Serra, Carmen, Li, Tong, Kwakwa, Kwasi, Tuck, Elizabeth, Lorenzi, Valentina, Massalha, Hassan, Prete, Martin, Kleshchevnikov, Vitalii, Tarkowska, Aleksandra, Porter, Tarryn, Mazzeo, Cecilia Icoresi, van Dongen, Stijn, Dabrowska, Monika, Vaskivskyi, Vasyl, Mahbubani, Krishnaa T., Park, Jong-eun, Jimenez-Linan, Mercedes, Campos, Lia, Kiselev, Vladimir Yu., Lindskog, Cecilia, Ayuk, Paul, Prigmore, Elena, Stratton, Michael R., Saeb-Parsy, Kourosh, Moffett, Ashley, Moore, Luiza, Bayraktar, Omer A., Teichmann, Sarah A., Turco, Margherita Y., Vento-Tormo, Roser

Issue&Volume: 2021-12-02

Abstract: The endometrium, the mucosal lining of the uterus, undergoes dynamic changes throughout the menstrual cycle in response to ovarian hormones. We have generated dense single-cell and spatial reference maps of the human uterus and three-dimensional endometrial organoid cultures. We dissect the signaling pathways that determine cell fate of the epithelial lineages in the lumenal and glandular microenvironments. Our benchmark of the endometrial organoids reveals the pathways and cell states regulating differentiation of the secretory and ciliated lineages both in vivo and in vitro. In vitro downregulation of WNT or NOTCH pathways increases the differentiation efficiency along the secretory and ciliated lineages, respectively. We utilize our cellular maps to deconvolute bulk data from endometrial cancers and endometriotic lesions, illuminating the cell types dominating in each of these disorders. These mechanistic insights provide a platform for future development of treatments for common conditions including endometriosis and endometrial carcinoma.

DOI: 10.1038/s41588-021-00972-2

Source: https://www.nature.com/articles/s41588-021-00972-2

Nature Genetics:《自然—遗传学》,创刊于1992年。隶属于施普林格·自然出版集团,最新IF:41.307
官方网址:https://www.nature.com/ng/
投稿链接:https://mts-ng.nature.com/cgi-bin/main.plex


本期文章:《自然—遗传学》:Online/在线发表

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