High-Resolution Spatial Transcriptomics Reveals Fibroblast and Neuroimmune Microenvironments in Endometriosis Lesions Xenium Data

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This study profiles human ovarian and peritoneal endometriosis lesions using Xenium spatial transcriptomics to establish a precise spatial transcriptomic cartography of the disease microenvironment.

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⚙ AI-generated deep summary by qwen3.7-flash, 2026-09-24 · read from full text ⓘ

This study utilized high-resolution Xenium spatial transcriptomics to map the precise cellular architecture of human ovarian and peritoneal endometriosis lesions. The research focused on characterizing the fibroblast and neuroimmune microenvironments within these specific tissue sites to better understand the mechanisms driving chronic pain and disease progression. By establishing a detailed spatial cartography, the authors aimed to address the current lack of clarity regarding how these local tissue interactions contribute to the systemic inflammatory nature of the condition. This paper is centrally about endometriosis — specifically detailing the spatial transcriptomic profile of fibroblast and neuroimmune components in ovarian and peritoneal lesions.

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Abstract

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. The dataset included here contained Endometriosis lesion tissue profiled through Xenium spatial transcriptomics platforms.
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High-Resolution Spatial Transcriptomics Reveals Fibroblast and Neuroimmune Microenvironments in Endometriosis Lesions Xenium Data Authors/Creators - Haney, Caroline M. (Researcher)1 - Alizadeh, Elaheh (Researcher)1 - Lee, Joshua (Researcher)1, 2 - Sullivan, Meryl (Researcher)1 - Kuljancic, Jasmina (Researcher)1 - Flynn, William (Researcher)1 - Robson, Paul (Researcher)1, 2 - White, Brian (Researcher)1 - Luciano, Danielle (Other)1, 2 - Courtois, Elise (Supervisor)1, 2 Description 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. The dataset included here contained Endometriosis lesion tissue profiled through Xenium spatial transcriptomics platforms.

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