Collections / Spatial transcriptomics of the ageing ovary
Spatial transcriptomics of the ageing ovary
Ageing is a physiological process that manifests through progressive molecular, cellular, and systemic changes. Female reproductive potential gradually declines with age as oocyte quality and quantity decline. The purpose of this study was to better understand the spatiotemporal dynamics of the ovary.
Datasets4
Size~73 MB
AssayVisium
Samplemouse · ovary
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse188257")
coll.ordered_artifacts.df() # the 4 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 · 4
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