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
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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()} Member datasets · 2
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