Collections / mousemodel_Heptablastoma spatial transcriptomics
mousemodel_Heptablastoma spatial transcriptomics
Lack of relevant animal models and cell lines hampers the understanding of hepatoblastoma and identification of therapeutic targets. We report a hepatoblastoma murine model that faithfully recapitulates the pathological features of mixed fetal and embryonic hepatoblastoma, with transcriptomics resembling the high-risk gene signatures of human disease
Datasets5
Size~315 MB
AssayVisium
Samplemouse · liver
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse195575")
coll.ordered_artifacts.df() # the 5 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 · 5
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