We investigated the cell-type composition of muscle domains that associate with muscle degeneration severity in two mouse models of human DMD, namely the B6.mdx and D2.mdx. We first combined immunofluorescence-based histological analysis and spatial transcriptomics to highlight specific muscle tissue clusters that display dystrophic features with necrotic fibers, inflammatory cell infiltration and increased fibrosis. Using single-cell RNA-sequencing reference and spatial deconvolution, we profiled cell types and states within each dystrophic domain, thereby identifying the enrichment for specific cell subpopulations in these spatial clusters.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse297388")
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()}
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