Spatial transcriptomic analysis of human iPSC-derived hemanoids at day 16 and day 28
Human induced pluripotent stem cell (iPSC)-derived hemanoids provide a three-dimensional model to study early hematopoietic development in vitro. To characterize the spatial organization and transcriptional dynamics of this system, we performed spatial transcriptomic profiling of FFPE hemanoids at day 16 and day 28 of differentiation using the 10x Genomics Visium Spatial Gene Expression platform (Visium v1 chemistry). This dataset captures the identification and spatial distribution of hematopoietic cells within the three-germ-layer-derived hemanoid environment.
from sddb import Catalog
cohort = Catalog().collection("geo-gse324601")
cohort.members # the 2 datasets as a table
print(cohort.licenses()) # check the terms before you download
sdatas = cohort.to_dict() # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/") Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse324601")
coll.ordered_artifacts.to_dataframe() # the 2 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse324601 --dest data/ Licenses: 2 NCBI GEO policy
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