@article{bibcite_4671,
  keywords = {RNA sequencing, Transcriptomics},
  author = {Magda Mare{\v c}kov{\'a} and Luz Garcia-Alonso and Marie Moullet and Valentina Lorenzi and Robert Petryszak and Carmen Sancho-Serra and Agnes Oszlanczi and Cecilia Icoresi Mazzeo and Frederick C. K. Wong and Iva Kelava and Sophie Hoffman and Micha{\l} Krassowski and Kurtis Garbutt and Kezia Gaitskell and Slaveya Yancheva and Ee Von Woon and Victoria Male and Ingrid Granne and Karin Hellner and Krishnaa T. Mahbubani and Kourosh Saeb-Parsy and Mohammad Lotfollahi and Elena Prigmore and Jennifer Southcombe and Rebecca A. Dragovic and Christian M. Becker and Krina T. Zondervan and Roser Vento-Tormo},
  title = {An integrated single-cell reference atlas of the human endometrium},
  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{\textendash}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.},
  year = {2024},
  journal = {Nature Genetics},
  volume = {56},
  pages = {1925-1937},
  month = {2024-09},
  issn = {1546-1718},
  url = {https://www.nature.com/articles/s41588-024-01873-w},
  doi = {10.1038/s41588-024-01873-w},
  language = {en},
}