Collections / Spatial transcriptomics for high-grade serous ovarian carcinoma who were treated with Olaparib maintenance therapy
Spatial transcriptomics for high-grade serous ovarian carcinoma who were treated with Olaparib maintenance therapy
Ovarian cancer is one of the leading causes of death among females worldwide. Recently, PARP inhibitors have become widely used for maintenance therapy in ovarian cancer, leading to improvements in patient prognosis. However, resistance to PARP inhibitors is observed in some cases, presenting a clinical challenge. In this study, we investigated the mechanisms of Olaparib resistance using spatial transcriptomics.
Datasets8
Size~362 MB
AssayVisium
Samplehuman · ovary
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse288483")
coll.ordered_artifacts.df() # the 8 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 · 8
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