Back to Search
Start Over
An integrated single-cell reference atlas of the human endometrium.
- Source :
-
Nature genetics [Nat Genet] 2024 Sep; Vol. 56 (9), pp. 1925-1937. Date of Electronic Publication: 2024 Aug 28. - Publication Year :
- 2024
-
Abstract
- The complex and dynamic cellular composition of the human endometrium remains poorly understood. Previous endometrial single-cell atlases profiled few donors and lacked consensus in defining cell types. We introduce the Human Endometrial Cell Atlas (HECA), a high-resolution single-cell reference atlas (313,527 cells) combining published and new endometrial single-cell transcriptomics datasets of 63 women with and without endometriosis. HECA assigns consensus and identifies previously unreported cell types, mapped in situ using spatial transcriptomics and validated using a new independent single-nuclei dataset (312,246 nuclei, 63 donors). In the functionalis, we identify intricate stromal-epithelial cell coordination via transforming growth factor beta (TGFβ) signaling. In the basalis, we define signaling between fibroblasts and an epithelial population expressing progenitor markers. Integration of HECA with large-scale endometriosis genome-wide association study data pinpoints decidualized stromal cells and macrophages as most likely dysregulated in endometriosis. The HECA is a valuable resource for studying endometrial physiology and disorders, and for guiding microphysiological in vitro systems development.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Female
Transcriptome
Stromal Cells metabolism
Epithelial Cells metabolism
Genome-Wide Association Study
Transforming Growth Factor beta metabolism
Transforming Growth Factor beta genetics
Gene Expression Profiling methods
Signal Transduction genetics
Fibroblasts metabolism
Endometrium metabolism
Endometrium cytology
Single-Cell Analysis methods
Endometriosis genetics
Endometriosis pathology
Endometriosis metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1546-1718
- Volume :
- 56
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Nature genetics
- Publication Type :
- Academic Journal
- Accession number :
- 39198675
- Full Text :
- https://doi.org/10.1038/s41588-024-01873-w