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High-resolution spatial transcriptomics reveals fibroblast and neuroimmune microenvironments in endometriosis lesions

Endometriosis is a chronic, systemic, inflammatory disease characterized by the presence of endometrium-like tissue growing outside of the uterus. Affecting one in ten individuals assigned female at birth, it causes chronic pain and inflammation that significantly impairs quality of life. Yet the mechanisms that drive pain and disease progression remain poorly defined. This study establishes the precise spatial transcriptomic cartography of human ovarian and peritoneal lesions, two of the most commonly found lesions. Endometriosis lesion tissue was profiled using VisiumV2, VisiumHD, and Xenium spatial transcriptomics platforms.

Type: Transcriptome Analysis
Archive: European Genome-phenome Archive (EGA)

1 Dataset 1 Publication

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000003070	Human Endoemtriosis Lesion spatial transcriptomics for 4 superficial peritoneal lesions and 4 ovarian lesions using VisiumHD. 1 superficial peritoneal lesion, 1 ovarian lesion, and 1 eutopic endometrium using VisiumV2. 3 superficial peritoneal lesions and 1 ovarian lesion using Xenium.	Illumina NovaSeq 6000 Illumina NovaSeq X Plus unspecified	15

Publications	Citations
High-resolution spatial transcriptomics reveals fibroblast and neuroimmune microenvironments in endometriosis lesions. Haney CM, Alizadeh E, Lee J, Sullivan M, Kuljancic J, Flynn WF, Robson P, White BS, Luciano DE, Courtois ET. Nat Commun 17: 2026 11468	0