Collections / A single cell and spatial atlas of preinvasive breast cancer [Visium ST]
A single cell and spatial atlas of preinvasive breast cancer [Visium ST]
Ductal carcinoma in situ (DCIS) is the most common preinvasive breast cancer, however our knowledge of the DCIS tumor microenvironment (TME) remains limited. We constructed a comprehensive atlas of the TME in estrogen-receptor positive DCIS using fresh samples collected from normal breast tissues, DCIS and invasive breast cancers. This Series is only for the Visium samples, see GSE348584 for the Xenium samples.
Datasets11
Size~425 MB
AssayVisium
Samplehuman · breast
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse348919")
coll.ordered_artifacts.df() # the 11 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 · 11
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