{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T21:12:20Z","timestamp":1790802740364,"version":"4.1.0"},"reference-count":76,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:00:00Z","timestamp":1666224000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Molecular Reproduction Devel"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>With the advancement of single\u2010cell separation techniques and high\u2010throughput sequencing platforms, single\u2010cell RNA\u2010sequencing (scRNA\u2010seq) has emerged as a vital technology for understanding tissue and organ systems at cellular resolution. Through transcriptional analysis, it is possible to characterize unique or rare cell types, interpret their interactions, and reveal novel functional states or shifts in developmental stages. As such, this technology is uniquely suited for studying the cells within the human ovary. The ovary is a cellularly heterogeneous organ that houses follicles, the reproductive and endocrine unit that consists of an oocyte surrounded by hormone\u2010producing support cells, as well as many other cell populations constituting stroma, vasculature, lymphatic, and immune components. Here we review studies that have utilized scRNA\u2010seq technology to analyze cells from healthy human ovaries and discuss the single\u2010cell isolation techniques used. We identified two overarching applications for scRNA\u2010seq in the human ovary. The first applies this technology to investigate transcriptional differences in oocytes\/eggs from patients undergoing in vitro fertilization\u00a0treatments to ultimately improve clinical outcomes. The second utilizes scRNA\u2010seq for the pursuit of creating a comprehensive single\u2010cell atlas of the human ovary. The knowledge gained from these studies underscores the importance of scRNA\u2010seq technologies in unlocking a new biological understanding of the human ovary.<\/jats:p>","DOI":"10.1002\/mrd.23648","type":"journal-article","created":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T18:39:24Z","timestamp":1666291164000},"page":"597-607","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Single\u2010cell RNA\u2010sequencing of retrieved human oocytes and eggs in clinical practice and for human ovarian cell atlasing"],"prefix":"10.1002","volume":"89","author":[{"given":"Jordan H.","family":"Machlin","sequence":"first","affiliation":[{"name":"Program in Cellular and Molecular Biology University of Michigan Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ariella","family":"Shikanov","sequence":"additional","affiliation":[{"name":"Program in Cellular and Molecular Biology University of Michigan Ann Arbor Michigan USA"},{"name":"Department of Biomedical Engineering University of Michigan Ann Arbor Michigan USA"},{"name":"Department of Obstetrics and Gynecology University of Michigan Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,10,20]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1210\/er.2017-00236"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.omtm.2018.07.003"},{"key":"e_1_2_7_4_1","first-page":"128","article-title":"Factors associated with in vitro fertilization live birth outcome: A comparison of different classification methods","volume":"15","author":"Amini P.","year":"2021","journal-title":"International Journal of Fertility & Sterility"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41574-021-00626-7"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-7428-3_9"},{"key":"e_1_2_7_7_1","unstructured":"10x Genomics. 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