Collections / A spatiotemporal atlas of orchiectomy-induced modulation of cellular composition and gene expression in the mouse prostate
A spatiotemporal atlas of orchiectomy-induced modulation of cellular composition and gene expression in the mouse prostate
Mice models are commonly used to further our understanding of the function of the prostate and response to androgen depletion. We used both spatial transcriptomics and single cell transcriptomics to determine how the mouse prostate degrades after castration. We identified changes in each of the prostate lobes that couuld be tracked over time as well as changes in the immune profile and of the composition of fibroblasts within the prostate. In addition to several previously identified fibroblast subtypes that we were able to show were altered in response to androgen depletion, we identified a novel fibroblast subtype present only in the castrated prostate.
Datasets8
Size~354 MB
AssayVisium
Samplemouse · prostate gland
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse295043")
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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