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

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Peer-reviewed

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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.

Description

Acknowledgements: This publication is part of the Human Cell Atlas (www.humancellatlas.org/publications/). We thank the participants of the ENDOX and FENOX studies in the Oxford Endometriosis CaRe Centre for donating samples and data. We thank the transplant organ donors and their families for the samples donated through the Cambridge Biorepository for Translational Medicine. We also thank K. Barrett, C. Hubbard and L. Buck for patient recruitment and clinical sample collection; the Sanger Cellular Generation and Phenotyping (CGaP) Core Facility, Sanger Core Sequencing pipeline for support with sample processing and sequencing library preparation; M. Prete and S. Murray for insightful comments and web portal support; T. Porter, E. Tuck and the Cellular Genetics wet lab team for experimental support; A. García from Bio-Graphics for scientific illustrations; and A. Maartens for proofreading. This research was funded, in part, by the Wellcome Trust Grant no. 206194 and no. 220540/Z/20/A (R.V.-T.) and no. 203141/Z/16/Z (R.V.-T.); the European Union’s Horizon 2020 research and innovation programme HUTER under grant agreement no. 874867 (R.V.-T.); grant no. 2022-249429(5022) from the Chan Zuckerberg Foundation (L.G.-A. and R.V.-T.); and the John Fell Fund from the University of Oxford (K.H., C.M.B. and K.T.Z.). M. Marečková was funded by a Medical Research Council Doctoral Training Programme scholarship, Medical Sciences Division, University of Oxford. Sample collection at Imperial was supported by Borne, grant no. P84654 (V.M.).


Funder: Wellcome Trust Grant 206194 and 220540/Z/20/A and 203141/Z/16/Z; the European Union’s Horizon 2020 research and innovation programme HUTER under grant agreement No 874867; grant number 2022-249429(5022) from the Chan Zuckerberg Foundation


Funder: Medical Research Council


Funder: Wellcome Trust Grant 206194 and 220540/Z/20/A and 203141/Z/16/Z


Funder: grant number 2022-249429(5022) from the Chan Zuckerberg Foundation


Funder: Wellcome Trust


Funder: John Fell Fund from the University of Oxford


Funder: Borne, grant no P84654

Keywords

Journal Title

Nat Genet

Conference Name

Journal ISSN

1061-4036
1546-1718

Volume Title

56

Publisher

Springer Nature

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Except where otherwised noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/