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However, the loss of tissue context because of tissue disassociations in the single\u2010cell isolation protocols limits our ability to understand the regulation of spermatogenesis and how defects in spermatogenesis lead to infertility. The recent advancement of spatial transcriptomics technologies enables the studying of the molecular signatures of various cell types and their interactions in the native tissue context. In this review, we discuss how spatial transcriptomics has been leveraged to identify spatially variable genes, characterize cellular neighborhood, delineate cell\u2012cell communications, and detect molecular changes under pathological conditions in the mammalian testis. We believe that spatial transcriptomics, along with other emerging spatially resolved omics assays, can be utilized to further our understanding of the underlying causes of male infertility, and to facilitate the development of new treatment approaches.<\/jats:p><\/jats:sec>","DOI":"10.1111\/andr.70043","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T09:14:51Z","timestamp":1744190091000},"page":"1181-1189","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Applications of spatial transcriptomics in studying spermatogenesis"],"prefix":"10.1111","volume":"13","author":[{"given":"Qianlan","family":"Xu","sequence":"first","affiliation":[{"name":"Cecil H. and Ida Green Center for Reproductive Biology Sciences University of Texas Southwestern Medical Center  Dallas Texas USA"},{"name":"Department of Obstetrics and Gynecology University of Texas Southwestern Medical Center  Dallas Texas 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