Collections / ETMR stem-like state and chemo-resistance are supported by perivascular cells at single-cell resolution (spatial transcriptomics subset)
ETMR stem-like state and chemo-resistance are supported by perivascular cells at single-cell resolution (spatial transcriptomics subset)
To investigate the celluar heterogeneity of ETMR and the role of pericytes in the tumor microenvironment, we performed single-cell RNA sequencing of about 140,000 cells from primary human and murine ETMR as well as from 2D ETMR cultures and 3D models of ETMR-harboring forebrain organoids. We also analysed 3 ETMR human samples by spatial transcriptomics.
Datasets3
Size~113 MB
AssayVisium
Samplehuman · brain
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse224477")
coll.ordered_artifacts.df() # the 3 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 · 3
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