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      Single-cell analysis of developing and azoospermia human testicles reveals central role of Sertoli cells

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          Abstract

          Clinical efficacy of treatments against non-obstructive azoospermia (NOA), which affects 1% of men, are currently limited by the incomplete understanding of NOA pathogenesis and normal spermatogenic microenvironment. Here, we profile >80,000 human testicular single-cell transcriptomes from 10 healthy donors spanning the range from infant to adult and 7 NOA patients. We show that Sertoli cells, which form the scaffold in the testicular microenvironment, are severely damaged in NOA patients and identify the roadmap of Sertoli cell maturation. Notably, Sertoli cells of patients with congenital causes (Klinefelter syndrome and Y chromosome microdeletions) are mature, but exhibit abnormal immune responses, while the cells in idiopathic NOA (iNOA) are physiologically immature. Furthermore, we find that inhibition of Wnt signaling promotes the maturation of Sertoli cells from iNOA patients, allowing these cells to regain their ability to support germ cell survival. We provide a novel perspective on the development of diagnostic methods and therapeutic targets for NOA.

          Abstract

          Non-obstructive azoospermia affects 1% of men. Here, authors perform single-cell transcriptomic analysis of human testicular cells from healthy donors and non-obstructive azoospermia patients and find that inhibition of Wnt signaling promotes the maturation of Sertoli cells from patients.

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          Most cited references27

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          Single-cell reconstruction of the early maternal–fetal interface in humans

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            A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation.

            Maintenance of the blood system requires balanced cell fate decisions by hematopoietic stem and progenitor cells (HSPCs). Because cell fate choices are executed at the individual cell level, new single-cell profiling technologies offer exciting possibilities for mapping the dynamic molecular changes underlying HSPC differentiation. Here, we have used single-cell RNA sequencing to profile more than 1600 single HSPCs, and deep sequencing has enabled detection of an average of 6558 protein-coding genes per cell. Index sorting, in combination with broad sorting gates, allowed us to retrospectively assign cells to 12 commonly sorted HSPC phenotypes while also capturing intermediate cells typically excluded by conventional gating. We further show that independently generated single-cell data sets can be projected onto the single-cell resolution expression map to directly compare data from multiple groups and to build and refine new hypotheses. Reconstruction of differentiation trajectories reveals dynamic expression changes associated with early lymphoid, erythroid, and granulocyte-macrophage differentiation. The latter two trajectories were characterized by common upregulation of cell cycle and oxidative phosphorylation transcriptional programs. By using external spike-in controls, we estimate absolute messenger RNA (mRNA) levels per cell, showing for the first time that despite a general reduction in total mRNA, a subset of genes shows higher expression levels in immature stem cells consistent with active maintenance of the stem-cell state. Finally, we report the development of an intuitive Web interface as a new community resource to permit visualization of gene expression in HSPCs at single-cell resolution for any gene of choice.
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              X-inactivation profile reveals extensive variability in X-linked gene expression in females.

              In female mammals, most genes on one X chromosome are silenced as a result of X-chromosome inactivation. However, some genes escape X-inactivation and are expressed from both the active and inactive X chromosome. Such genes are potential contributors to sexually dimorphic traits, to phenotypic variability among females heterozygous for X-linked conditions, and to clinical abnormalities in patients with abnormal X chromosomes. Here, we present a comprehensive X-inactivation profile of the human X chromosome, representing an estimated 95% of assayable genes in fibroblast-based test systems. In total, about 15% of X-linked genes escape inactivation to some degree, and the proportion of genes escaping inactivation differs dramatically between different regions of the X chromosome, reflecting the evolutionary history of the sex chromosomes. An additional 10% of X-linked genes show variable patterns of inactivation and are expressed to different extents from some inactive X chromosomes. This suggests a remarkable and previously unsuspected degree of expression heterogeneity among females.
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                Author and article information

                Contributors
                sunjie@scmc.com.cn
                wangcc@sari.ac.cn
                zhouzhi@shanghaitech.edu.cn
                lizhengboshi@sjtu.edu.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 November 2020
                10 November 2020
                2020
                : 11
                : 5683
                Affiliations
                [1 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of Andrology, the Center for Men’s Health, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, 200080 China
                [2 ]GRID grid.440637.2, ISNI 0000 0004 4657 8879, School of Life Science and Technology, , ShanghaiTech University, ; Shanghai, 201210 China
                [3 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of Urology, Shanghai Children’s Medical Center, School of Medicine, , Shanghai Jiao Tong University, ; Shanghai, 200120 China
                [4 ]GRID grid.412521.1, Department of Andrology, , the Affiliated Hospital of Qingdao University, ; Qingdao, 266000 Shandong China
                [5 ]GRID grid.9227.e, ISNI 0000000119573309, Shanghai Advanced Research Institute, Stem Cell and Reproductive Biology Laboratory, , Chinese Academy of Sciences, ; Shanghai, 201210 China
                Author information
                http://orcid.org/0000-0003-1070-3466
                Article
                19414
                10.1038/s41467-020-19414-4
                7655944
                33173058
                878c4d0a-0cb9-4f60-a552-8256d595337e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 April 2020
                : 9 October 2020
                Categories
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                © The Author(s) 2020

                Uncategorized
                rna sequencing,stem-cell niche,infertility,urogenital reproductive disorders,testis
                Uncategorized
                rna sequencing, stem-cell niche, infertility, urogenital reproductive disorders, testis

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