Collections / Consequences of the perivascular niche remodeling for tumoricidal T-cell trafficking into metastasis of ovarian cancer [Spatial Transciptomics]
Consequences of the perivascular niche remodeling for tumoricidal T-cell trafficking into metastasis of ovarian cancer [Spatial Transciptomics]
We investigated the mechanisms by which inflammatory responses generated by tumor-specific T cells delivered to ovarian tumor-bearing mice alone or after oncolytic vaccinia virus-driven immunogenic cancer cell death affect antitumor efficacy using spatial transcriptomics.
Datasets4
Size~184 MB
AssayVisium
Samplemouse · ovary
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse274509")
coll.ordered_artifacts.df() # the 4 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 · 4
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