Collections / Identification of perturbation-responsive regions and genes in comparative spatial transcriptomics atlases
Identification of perturbation-responsive regions and genes in comparative spatial transcriptomics atlases
This submission is a dataset of single-nucleus transcriptomics in the spinal cords of mice. The single-nuclei transcriptomics data is harvested and profiled using Visium Spatial Gene Expression.
Datasets7
Size~264 MB
AssayVisium
Samplemouse · spinal cord
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse268779")
coll.ordered_artifacts.df() # the 7 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 · 7
Mouse spinal cord
GSM8299018
mouse spinal cord 44 MB 3,985 obs silver H&E
TechnologyVisium
Organismmouse
Tissuespinal cord
Obs3,985
silver H&E
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No linked publication found — please cite the data source.