Collections / Spatial transcriptomical analysis of livers from patients with COVID19
Spatial transcriptomical analysis of livers from patients with COVID19
In this study, we stained liver tissues from COVID-19 cases with abnormal liver functions, and found viral proteins were detectable from dead or severe cases, but not from moderate patients. We then conducted spatial transcriptomics to analyze effects of SARS-COV-2 on livers.
Datasets3
Size~135 MB
AssayVisium
Samplehuman · liver
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse279405")
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
Human liver
GSM8569296
human liver COVID-19 12 MB 4,778 obs bronze H&E
TechnologyVisium
Organismhuman
Tissueliver
ConditionCOVID-19
Obs4,778
bronze H&E
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