Dissecting endometriosis by single-cell transcriptomic and genomic analysis

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Single-cell transcriptional profiling of endometrial cells from individuals with and without endometriosis reveals cells and processes contributing to the disease, offering potential for new diagnostics and therapeutics.

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The paper applies single-cell transcriptomic profiling to endometrial-type epithelial and stromal cells to dissect the cellular processes underlying endometriosis, aiming to improve understanding of its biology. Using endometriosis patient material, the authors identify cell types and programs contributing to the disease, which they frame as potential foundations for diagnostics and therapeutics. A major caveat is that the provided text is a brief preview that does not detail study design specifics, sample sizes, or explicit limitations in this excerpt. This paper is centrally about endometriosis — single-cell transcriptomic dissection of endometrial-type epithelial and stromal biology to understand mechanisms and inform potential diagnostic/therapeutic avenues.

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Endometriosis affects around 10% of individuals born with a uterus, yet we know remarkably little about its underlying biology. Our single-cell transcriptional profiling of endometrial-type epithelial and stromal cells is shedding light on the cells and processes that contribute to endometriosis, which opens up new avenues for diagnostics and therapeutics. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 27,99 € / 30 days cancel any time Subscribe to this journal Receive 12 print issues and online access 251,40 € per year only 20,95 € per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. 39,95 € Prices may be subject to local taxes which are calculated during checkout References Fonseca, M. A. S. et al. Single cell transcriptomic analysis of endometriosis. Nat. Genet. https://doi.org/10.1038/10.1038/s41588-022-01254-1 (2022). A paper that reports single-cell transcriptomic analysis of ~50 tissues from 17 patients with endometriosis and four individuals who are unaffected. Tan, Y. et al. Single-cell analysis of endometriosis reveals a coordinated transcriptional programme driving immunotolerance and angiogenesis across eutopic and ectopic tissues. Nat. Cell Biol. 24, 1306–1318 (2022). This paper reports single-cell transcriptomic analyses of endometriosis in patients taking exogenous hormones, with a focus on the perivascular niche, and immune signatures of the peritoneum in affected individuals. Garcia-Alonso, L. et al. Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro. Nat. Genet. 53, 1698–1711 (2021). This study performed scRNA-seq and spatial profiling of endometrium and endometrial organoids that were exposed to ovarian hormones, and relates epithelial signatures to endometrial cancer and endometriosis. Wang, W. et al. Single-cell transcriptomic atlas of the human endometrium during the menstrual cycle. Nat. Med. 26, 1644–1653 (2020). A single-cell transcriptomic study of the endometrium throughout the menstrual cycle, with a focus on the window of implantation. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This is a summary of: Fonseca, M. A. S. et al. Single-cell transcriptomic analysis of endometriosis. Nat. Genet. https://doi.org/10.1038/s41588-022-01254-1 (2022). Rights and permissions About this article Cite this article Dissecting endometriosis by single-cell transcriptomic and genomic analysis. Nat Genet 55, 168–169 (2023). https://doi.org/10.1038/s41588-022-01255-0 Published: Version of record: Issue date: DOI: https://doi.org/10.1038/s41588-022-01255-0

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis

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