An integrated single-cell reference atlas of the human endometrium

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY Nature genetics Pub Date : 2024-08-28 DOI:10.1038/s41588-024-01873-w
Magda Marečková, Luz Garcia-Alonso, Marie Moullet, Valentina Lorenzi, Robert Petryszak, Carmen Sancho-Serra, Agnes Oszlanczi, Cecilia Icoresi Mazzeo, Frederick C. K. Wong, Iva Kelava, Sophie Hoffman, Michał Krassowski, Kurtis Garbutt, Kezia Gaitskell, Slaveya Yancheva, Ee Von Woon, Victoria Male, Ingrid Granne, Karin Hellner, Krishnaa T. Mahbubani, Kourosh Saeb-Parsy, Mohammad Lotfollahi, Elena Prigmore, Jennifer Southcombe, Rebecca A. Dragovic, Christian M. Becker, Krina T. Zondervan, Roser Vento-Tormo
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Abstract

The complex and dynamic cellular composition of the human endometrium remains poorly understood. Previous endometrial single-cell atlases profiled few donors and lacked consensus in defining cell types. We introduce the Human Endometrial Cell Atlas (HECA), a high-resolution single-cell reference atlas (313,527 cells) combining published and new endometrial single-cell transcriptomics datasets of 63 women with and without endometriosis. HECA assigns consensus and identifies previously unreported cell types, mapped in situ using spatial transcriptomics and validated using a new independent single-nuclei dataset (312,246 nuclei, 63 donors). In the functionalis, we identify intricate stromal–epithelial cell coordination via transforming growth factor beta (TGFβ) signaling. In the basalis, we define signaling between fibroblasts and an epithelial population expressing progenitor markers. Integration of HECA with large-scale endometriosis genome-wide association study data pinpoints decidualized stromal cells and macrophages as most likely dysregulated in endometriosis. The HECA is a valuable resource for studying endometrial physiology and disorders, and for guiding microphysiological in vitro systems development. The Human Endometrial Cell Atlas integrates single-cell transcriptomic datasets from women with and without endometriosis. Novel and known cell types are registered using spatial transcriptomics to provide a comprehensive map of the human endometrium in controls and endometriosis cases.

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人类子宫内膜综合单细胞参考图谱
人们对人类子宫内膜复杂而动态的细胞组成仍然知之甚少。以前的子宫内膜单细胞图谱只对少数供体进行了分析,在定义细胞类型方面缺乏共识。我们介绍了人类子宫内膜细胞图谱(HECA),这是一个高分辨率的单细胞参考图谱(313 527 个细胞),结合了已发表的和新的子宫内膜单细胞转录组学数据集,这些数据集来自 63 名患有和未患有子宫内膜异位症的女性。HECA 利用空间转录组学在原位绘制并使用新的独立单个细胞核数据集(312,246 个细胞核,63 名供体)进行验证,从而达成共识并确定以前未报道的细胞类型。在功能区,我们发现基质-上皮细胞通过转化生长因子β(TGFβ)信号传导进行复杂的协调。在基底层,我们确定了成纤维细胞和表达祖细胞标记的上皮细胞之间的信号传导。将 HECA 与大规模子宫内膜异位症全基因组关联研究数据整合后,发现蜕膜化基质细胞和巨噬细胞最有可能在子宫内膜异位症中失调。HECA 是研究子宫内膜生理学和失调症以及指导微观生理学体外系统开发的宝贵资源。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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