Collections / Time-series spatial transcriptomic analysis of murine small intestine (SI) undergoing irradiation induced injury-repair with and without LXR activation
Time-series spatial transcriptomic analysis of murine small intestine (SI) undergoing irradiation induced injury-repair with and without LXR activation
To unbiasedly characterize the spatial transcriptomics landscape of murine small intestine damage and repair, we performed a time-series spatial transcriptional analysis of total small intestinal tissue during the course of irradiation damage from mice receiving standard diet. Additionally, to understand the role of LXR activation during damage and repair, we also collected small intestine tissues from mice fed with GW3965 diet.
Datasets4
Size~212 MB
AssayVisium
Samplemouse · small intestine
KindComparison
Download the whole collection
Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse227742")
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
Cite this collection
No linked publication found — please cite the data source.