Collections / Xenium spatial transcriptomics identifies mesenchymal fibroblast expansion and conserved fibrotic ECM programs in keloid

Xenium spatial transcriptomics identifies mesenchymal fibroblast expansion and conserved fibrotic ECM programs in keloid

In this study, we applied single-cell-resolution targeted Xenium spatial transcriptomics (Xenium ST) to define keloid-associated cellular and molecular programs within intact tissue architecture, with a focus on fibroblast populations and conserved pro-fibrotic gene programs linked to ECM remodeling across diverse ancestry.

Datasets2
Size~4.0 GB
Assay10x Xenium
Samplehuman · skin of body
KindComparison
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE341250 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse341250")
coll.ordered_artifacts.df()                 # the 2 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
Open in Vitessce
10x Xenium
Human skin of body
GSM9902815
human skin of body keloid 1.5 GB 64,091 obs silver
Technology10x Xenium
Organismhuman
Tissueskin of body
Conditionkeloid
Size1.5 GB
Obs64,091
silver Open in Vitessce
Open in Vitessce
10x Xenium
Human skin of body
GSM9902814
human skin of body keloid 2.5 GB 86,647 obs silver
Technology10x Xenium
Organismhuman
Tissueskin of body
Conditionkeloid
Size2.5 GB
Obs86,647
silver Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.