Collections / Eye-conic' spatial transcriptomics of keratoconus corneas
Eye-conic' spatial transcriptomics of keratoconus corneas
The cornea is a transparent, avascular eye tissue composed of five layers: epithelium, Bowman's layer, stroma, Descemet's membrane, and endothelium, each of which, if affected by keratoconus (KTCN), may exhibit specific morphological changes. Due to the complexity of the tissue, the studies preserving the spatial location should be applied to identify the layer-specific molecular changes in KTCN, for further understanding of the mechanistic aspects of its cone formation. Study was supported by National Science Centre in Poland, Grant no. 2021/41/B/NZ5/02245 (MG).
Datasets13
Size~130 MB
AssayVisium
Samplehuman · cornea
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse303036")
coll.ordered_artifacts.df() # the 13 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 · 13
Human cornea
GSM9116170
human cornea keratoconus 11 MB 1,036 obs bronze H&E
TechnologyVisium
Organismhuman
Tissuecornea
Conditionkeratoconus
Obs1,036
Magnificationother · 3.813 µm/px
bronze H&E
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