Collections / Spatial transcriptomics of bone taken from two PRF1-/- B16F10-injected and one PRF1-/- healthy control- bone tissues using Xenium
Spatial transcriptomics of bone taken from two PRF1-/- B16F10-injected and one PRF1-/- healthy control- bone tissues using Xenium
Spatial transcriptomic profiling was performed on bone tissue from perforin-deficient (Prf1⁻/⁻) mice following bone injection and from Prf1⁻/⁻ uninjected control bone tissue using the 10x Genomics Xenium platform. The study aimed to characterize spatially resolved gene expression changes associated with tumor or cell injection in the absence of perforin-mediated cytotoxic immunity.
Datasets6
Size~9.5 GB
Assay10x Xenium
Samplemouse · bone element
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse329415")
coll.ordered_artifacts.df() # the 6 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 · 6
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