# An integrated single-cell reference atlas of the human endometrium

Article · Marečková M, Garcia-Alonso L, Moullet M, Lorenzi V, Petryszak R, Sancho-Serra C, Oszlanczi A, Icoresi Mazzeo C, Wong FCK, Kelava I, Hoffman S, Krassowski M, Garbutt K, Gaitskell K, Yancheva S, Woon EV, Male V, Granne I, Hellner K, Mahbubani KT, Saeb-Parsy K, Lotfollahi M, Prigmore E, Southcombe J, Dragovic RA and 3 more

- Archive id: doi:10.1038/s41588-024-01873-w
- Published: 2024-08-28
- Venue: Nature genetics
- DOI: https://doi.org/10.1038/s41588-024-01873-w
- PMID: 39198675
- PMCID: PMC11387200
- Citations: 183
- Source URL: https://doi.org/10.1038/s41588-024-01873-w
- PDF: https://europepmc.org/articles/PMC11387200/pdf
- Provenance: europepmc

## 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.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [Single-Cell & Spatial Omics](https://space-kitty.com/topics/single-cell-spatial)

---
Space Kitty Archive · https://space-kitty.com · API: https://space-kitty.com/api/v1 · MCP: https://space-kitty.com/mcp · Premium: $0.20/request via x402 (Base Sepolia (testnet)). Metadata: arXiv (CC0), OpenAlex (CC0), Europe PMC (CC BY/CC0 works), ClinicalTrials.gov.