Collections / Spatial Transcriptomics of Human Fetal Lungs
Spatial Transcriptomics of Human Fetal Lungs
Spatial transcriptomic profiles were generated using lung tissue sections obtained from twelve prenatal human lung samples ranging in gestational age from 13 – 20 weeks, of which four were diagnosed with Trisomy 21, with defined hypoplasia.
Datasets12
Size~704 MB
AssayVisium
Samplehuman · lung
KindTime course
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse310610")
coll.ordered_artifacts.df() # the 12 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 · 12
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