CBFLivUni/AdenomyosisGeoMX: Publication
This code repository contains the analysis scripts and figure generation tools used to spatially resolve transcriptomics of adenomyosis lesions, revealing their hybrid molecular identity, ciliated phenotype, and immune signature.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This repository provides the computational code and data supporting a study on spatially-resolved transcriptomics of adenomyosis lesions. The associated publication identifies a hybrid molecular identity, ciliated phenotype, and distinct immune signature within these lesions using GeoMX analysis. The work focuses specifically on characterizing the cellular heterogeneity and microenvironment of adenomyotic tissue through advanced spatial profiling techniques. This paper is centrally about adenomyosis — specifically the use of spatial transcriptomics to define its molecular and immune landscape.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Abstract
Full text
780 characters
· extracted from
oa-doi-fallback
· click to expand
Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Condition tags
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- openalex
- last seen: 2026-05-10T11:01:14.481557+00:00