We designed an ex vivo system to culture tissue explants from lymphoma tissue. To characterize the spatial and molecular structure of human lymphomoids and their tissue of origin, we performed spatial transcriptomics analyses on original tissues and lymphomoids obtained from 2 patients using the 10x Genomics Visium technology.
from sddb import Catalog
cohort = Catalog().collection("geo-gse269695")
cohort.members # the 5 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-gse269695")
coll.ordered_artifacts.to_dataframe() # the 5 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-gse269695 --dest data/Licenses: 5 NCBI GEO policy
No linked publication found — please cite the data source.