Collections / Defining the spatial-molecular map of fibrotic tendon healing and the drivers of Scleraxis-lineage cell fate and function
Defining the spatial-molecular map of fibrotic tendon healing and the drivers of Scleraxis-lineage cell fate and function
Spatial transcriptomic analysis of murine FDL tendons following acute injury and repair to evaluate spatiotemporal programming of tendon healing
Datasets8
Size~113 MB
AssayVisium
Samplemouse · tendon
KindTime course
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse216214")
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
Mouse tendon
GSM6661596
mouse tendon 16 MB 1,017 obs bronze H&E
TechnologyVisium
Organismmouse
Tissuetendon
Obs1,017
bronze H&E
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