Collections / Spatial transcriptomics of the human first trimester decidua
Spatial transcriptomics of the human first trimester decidua
Understanding how extravillous trophoblasts (EVTs) reshape the maternal uterine environment (decidua basalis) is critical for deciphering early human placental development. To study the impact of EVT invasion on the distribution of immune cells and the restructuring of the decidual tissue, we performed spatial transcriptomic profiling using the Visium platform (10x Genomics) on first trimester decidua.
Datasets4
Size~133 MB
AssayVisium
Samplehuman · multiple
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse301306")
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
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