High-Resolution Spatial Transcriptomics Reveals Fibroblast and Neuroimmune Microenvironments in Endometriosis Lesions Xenium Data
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.
Authors
- Caroline M. Dumas (ORCID: https://orcid.org/0000-0003-0069-4463)
- Paul Robson (ORCID: https://orcid.org/0000-0002-0191-3958)
- Danielle E. Luciano (ORCID: https://orcid.org/0000-0003-2484-5123)
- Elise T. Courtois (ORCID: https://orcid.org/0000-0002-8749-2719)
- William F. Flynn (ORCID: https://orcid.org/0000-0001-6533-0340)
- Elaheh Alizadeh (ORCID: https://orcid.org/0000-0003-4742-7186)
- Jasmina Kuljancic
- Brian White
- Joshua Lee
- Meryl Sullivan
Institutions
- The Jackson Laboratory for Genomic Medicine (US)
- UConn Health (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-31
- DOI
- https://doi.org/10.5281/zenodo.22752896
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00