Collections / Spatial transcriptomic analysis of a pre-clinical NF1 pseudarthrosis fracture model
Spatial transcriptomic analysis of a pre-clinical NF1 pseudarthrosis fracture model
Patients with Neurofibromatosis Type 1 (NF1) present with fracture pseudarthroses, though the exact mechanism underlying this abnormal healing remains unknown. Here, we performed spatial transcriptomics to spatially-define the molecular signatures across endochondral healing following fracture. Integrating single-cell sequencing of patient fracture-derived primary cells, our results provide a dynamic cellular context to the molecular dysregulation associated with somatic fracture healing defects in NF1.
Datasets2
Size~63 MB
AssayVisium
Samplemouse · tibia
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse218046")
coll.ordered_artifacts.df() # the 2 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 · 2
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