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Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing

Publication ,  Journal Article
Jones, ASK; Hannum, DF; Machlin, JH; Tan, A; Ma, Q; Ulrich, ND; Shen, Y-C; Ciarelli, M; Padmanabhan, V; Marsh, EE; Hammoud, S; Li, JZ; Shikanov, A
Published in: Science Advances
April 5, 2024

The reproductive and endocrine functions of the ovary involve spatially defined interactions among specialized cell populations. Despite the ovary’s importance in fertility and endocrine health, functional attributes of ovarian cells are largely uncharacterized. Here, we profiled >18,000 genes in 257 regions from the ovaries of two premenopausal donors to examine the functional units in the ovary. We also generated single-cell RNA sequencing data for 21,198 cells from three additional donors and identified four major cell types and four immune cell subtypes. Custom selection of sampling areas revealed distinct gene activities for oocytes, theca, and granulosa cells. These data contributed panels of oocyte-, theca-, and granulosa-specific genes, thus expanding the knowledge of molecular programs driving follicle development. Serial samples around oocytes and across the cortex and medulla uncovered previously unappreciated variation of hormone and extracellular matrix remodeling activities. This combined spatial and single-cell atlas serves as a resource for future studies of rare cells and pathological states in the ovary.

Duke Scholars

Published In

Science Advances

DOI

EISSN

2375-2548

Publication Date

April 5, 2024

Volume

10

Issue

14

Publisher

American Association for the Advancement of Science (AAAS)
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jones, A. S. K., Hannum, D. F., Machlin, J. H., Tan, A., Ma, Q., Ulrich, N. D., … Shikanov, A. (2024). Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing. Science Advances, 10(14). https://doi.org/10.1126/sciadv.adm7506
Jones, Andrea S. K., D Ford Hannum, Jordan H. Machlin, Ansen Tan, Qianyi Ma, Nicole D. Ulrich, Yu-chi Shen, et al. “Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing.” Science Advances 10, no. 14 (April 5, 2024). https://doi.org/10.1126/sciadv.adm7506.
Jones ASK, Hannum DF, Machlin JH, Tan A, Ma Q, Ulrich ND, et al. Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing. Science Advances. 2024 Apr 5;10(14).
Jones, Andrea S. K., et al. “Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing.” Science Advances, vol. 10, no. 14, American Association for the Advancement of Science (AAAS), Apr. 2024. Crossref, doi:10.1126/sciadv.adm7506.
Jones ASK, Hannum DF, Machlin JH, Tan A, Ma Q, Ulrich ND, Shen Y-C, Ciarelli M, Padmanabhan V, Marsh EE, Hammoud S, Li JZ, Shikanov A. Cellular atlas of the human ovary using morphologically guided spatial transcriptomics and single-cell sequencing. Science Advances. American Association for the Advancement of Science (AAAS); 2024 Apr 5;10(14).

Published In

Science Advances

DOI

EISSN

2375-2548

Publication Date

April 5, 2024

Volume

10

Issue

14

Publisher

American Association for the Advancement of Science (AAAS)