Collections / Spatial characterization of the transcriptome of the adult healthy and mutant FUS mouse spinal cords [Spatial transcriptomics]
Spatial characterization of the transcriptome of the adult healthy and mutant FUS mouse spinal cords [Spatial transcriptomics]
Here we investigated the spatial transcriptome of the aged mouse spinal cord using 10X Genomics Visium platform. We produced local transcriptomes of the full spinal cord with a resolution of 100 um, characterizing ventral and dorsal horn regions, in addition to grey and white matter regions. With these spatial data, it is possible to explore the spatial transcriptome of the aged mouse spinal cord, extrapolating information on the cellular composition of this tissue.
Datasets4
Size~45 MB
AssayVisium
Samplemouse · spinal cord
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse269377")
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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