Collections / Spatial transcriptomics for platinum-resistant high-grade serous ovarian carcinoma
Spatial transcriptomics for platinum-resistant high-grade serous ovarian carcinoma
Ovarian cancer is one of the leading causes of death in females in the world. High-grade serous ovarian carcinoma (HGSOC) is the most common histological subtype, and the platinum-resistance is a clinical challenge. Moreover, JAK1-related inflammation may contribute to the platinum-resistance. This study investigated the spatial gene expression profiles of JAK1-high and -low expressed HGSOC.
Datasets3
Size~202 MB
AssayVisium
Samplehuman · ovary
KindReplicates
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse274657")
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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