Mouse skin of body
GSM9376204
mouse skin of body melanoma 12.2 MB 462 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueskin of body
Conditionmelanoma
Spots462
silver H&E NCBI GEO policy
Collections / Spatial transcriptomics of MRGPRX4-driven melanoma
Spatial transcriptomics of MRGPRX4-driven melanoma
Spatial transcriptomics was performed on skin samples from TyrCreER;MRGPRX4-ROSA26-stop-flox animals. Spatial analysis revealed mutiple, spatially defined melanoma states.
Datasets3
Size~36.4 MB
AssayVisium
Samplemouse · skin of body
KindOther
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse313828")
cohort.members # the 3 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/") Python · lamindb
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-gse313828")
coll.ordered_artifacts.to_dataframe() # the 3 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()] Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse313828 --dest data/Licenses: 3 NCBI GEO policy
Member datasets · 3
Mouse skin of body
GSM9376205
mouse skin of body melanoma 12.2 MB 498 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueskin of body
Conditionmelanoma
Spots498
silver H&E NCBI GEO policy
Mouse skin of body
GSM9376206
mouse skin of body melanoma 12.0 MB 386 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueskin of body
Conditionmelanoma
Spots386
silver H&E NCBI GEO policy
Cite this collection
No linked publication found — please cite the data source.