Collections / Spatial transcriptomics of primary human hepatoblastomas

Spatial transcriptomics of primary human hepatoblastomas

Spatial transcriptomics was performed on human hepatoblastomas to determine features associated with histologic heterogeneity.

Datasets3
Size~91 MB
AssayVisium
Samplehuman · liver
KindComparison
PMID:39567523 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse249965")
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()}
Open in Vitessce
Visium
Human liver
GSM7968251
human liver hepatoblastoma 58 MB 3,212 obs bronze H&E
TechnologyVisium
Organismhuman
Tissueliver
Conditionhepatoblastoma
Size58 MB
Obs3,212
Magnificationother · 3.683 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Human liver
GSM7968252
human liver hepatoblastoma 27 MB 1,350 obs bronze H&E
TechnologyVisium
Organismhuman
Tissueliver
Conditionhepatoblastoma
Size27 MB
Obs1,350
Magnificationother · 4.050 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Human liver
GSM7968253
human liver 5.9 MB 1,729 obs bronze H&E
TechnologyVisium
Organismhuman
Tissueliver
Size5.9 MB
Obs1,729
Magnificationother · 4.048 µm/px
bronze H&E Open in Vitessce

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