Collections / scRNA-seq, snATAC-seq, and spatial transcriptomics analysis of mammary glands of aged female mice
scRNA-seq, snATAC-seq, and spatial transcriptomics analysis of mammary glands of aged female mice
Aging results in changes in mammary gland cell proportions, gene expression, and chromatin accessibility. Cell types captured include epithelial, immune, and stromal cell types.
Datasets4
Size~263 MB
AssayVisium
Samplemouse · mammary gland
KindTime course
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse216542")
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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