Dissecting mammalian spermatogenesis using spatial transcriptomics

Summary: Single-cell RNA sequencing has revealed extensive molecular diversity in gene programs governing mammalian spermatogenesis but fails to delineate their dynamics in the native context of seminiferous tubules, the spatially confined functional units of spermatogenesis. Here, we use Slide-seq,...

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Autores principales:	Haiqi Chen, Evan Murray, Anubhav Sinha, Anisha Laumas, Jilong Li, Daniel Lesman, Xichen Nie, Jim Hotaling, Jingtao Guo, Bradley R. Cairns, Evan Z. Macosko, C. Yan Cheng, Fei Chen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a14b6b9f7c6f49fcbea7513571e4a8d5
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spelling	oai:doaj.org-article:a14b6b9f7c6f49fcbea7513571e4a8d52021-11-04T04:29:02ZDissecting mammalian spermatogenesis using spatial transcriptomics2211-124710.1016/j.celrep.2021.109915https://doaj.org/article/a14b6b9f7c6f49fcbea7513571e4a8d52021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211124721013887https://doaj.org/toc/2211-1247Summary: Single-cell RNA sequencing has revealed extensive molecular diversity in gene programs governing mammalian spermatogenesis but fails to delineate their dynamics in the native context of seminiferous tubules, the spatially confined functional units of spermatogenesis. Here, we use Slide-seq, a spatial transcriptomics technology, to generate an atlas that captures the spatial gene expression patterns at near-single-cell resolution in the mouse and human testis. Using Slide-seq data, we devise a computational framework that accurately localizes testicular cell types in individual seminiferous tubules. Unbiased analysis systematically identifies spatially patterned genes and gene programs. Combining Slide-seq with targeted in situ RNA sequencing, we demonstrate significant differences in the cellular compositions of spermatogonial microenvironment between mouse and human testes. Finally, a comparison of the spatial atlas generated from the wild-type and diabetic mouse testis reveals a disruption in the spatial cellular organization of seminiferous tubules as a potential mechanism of diabetes-induced male infertility.Haiqi ChenEvan MurrayAnubhav SinhaAnisha LaumasJilong LiDaniel LesmanXichen NieJim HotalingJingtao GuoBradley R. CairnsEvan Z. MacoskoC. Yan ChengFei ChenElsevierarticleBiology (General)QH301-705.5ENCell Reports, Vol 37, Iss 5, Pp 109915- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Haiqi Chen Evan Murray Anubhav Sinha Anisha Laumas Jilong Li Daniel Lesman Xichen Nie Jim Hotaling Jingtao Guo Bradley R. Cairns Evan Z. Macosko C. Yan Cheng Fei Chen Dissecting mammalian spermatogenesis using spatial transcriptomics
description	Summary: Single-cell RNA sequencing has revealed extensive molecular diversity in gene programs governing mammalian spermatogenesis but fails to delineate their dynamics in the native context of seminiferous tubules, the spatially confined functional units of spermatogenesis. Here, we use Slide-seq, a spatial transcriptomics technology, to generate an atlas that captures the spatial gene expression patterns at near-single-cell resolution in the mouse and human testis. Using Slide-seq data, we devise a computational framework that accurately localizes testicular cell types in individual seminiferous tubules. Unbiased analysis systematically identifies spatially patterned genes and gene programs. Combining Slide-seq with targeted in situ RNA sequencing, we demonstrate significant differences in the cellular compositions of spermatogonial microenvironment between mouse and human testes. Finally, a comparison of the spatial atlas generated from the wild-type and diabetic mouse testis reveals a disruption in the spatial cellular organization of seminiferous tubules as a potential mechanism of diabetes-induced male infertility.
format	article
author	Haiqi Chen Evan Murray Anubhav Sinha Anisha Laumas Jilong Li Daniel Lesman Xichen Nie Jim Hotaling Jingtao Guo Bradley R. Cairns Evan Z. Macosko C. Yan Cheng Fei Chen
author_facet	Haiqi Chen Evan Murray Anubhav Sinha Anisha Laumas Jilong Li Daniel Lesman Xichen Nie Jim Hotaling Jingtao Guo Bradley R. Cairns Evan Z. Macosko C. Yan Cheng Fei Chen
author_sort	Haiqi Chen
title	Dissecting mammalian spermatogenesis using spatial transcriptomics
title_short	Dissecting mammalian spermatogenesis using spatial transcriptomics
title_full	Dissecting mammalian spermatogenesis using spatial transcriptomics
title_fullStr	Dissecting mammalian spermatogenesis using spatial transcriptomics
title_full_unstemmed	Dissecting mammalian spermatogenesis using spatial transcriptomics
title_sort	dissecting mammalian spermatogenesis using spatial transcriptomics
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a14b6b9f7c6f49fcbea7513571e4a8d5
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Dissecting mammalian spermatogenesis using spatial transcriptomics

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