Collections / Single-nucleus and spatial transcriptomics of human ovary: Molecular insights into signaling pathways underlying primary ovarian insufficiency in classic galactosemia [Spatial transcriptomics]
Single-nucleus and spatial transcriptomics of human ovary: Molecular insights into signaling pathways underlying primary ovarian insufficiency in classic galactosemia [Spatial transcriptomics]
Classic galactosemia (CG) is a rare inborn error of galactose metabolism caused by mutations in GALT gene. Primary ovarian insufficiency (POI) is a later complication that affects 80% of women with CG due to significant decline in ovarian follicle reserve. The definite mechanisms underlying the early onset of POI in CG patients is not fully understood. We utilized spatial transcriptomics from 10x Visium to generate spatial landscape of human ovaries from pre-pubertal girls with CG to investigate dynamic gene expression profiles in the ovarian follicles and stromal cells.
Datasets6
Size~312 MB
AssayVisium
Samplehuman · ovary
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse268523")
coll.ordered_artifacts.df() # the 6 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 · 6
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