Collections / Blocking the Gut–Liver IgA Axis Attenuates Macrophage-Mediated Inflammation and Injury in Alcohol-Associated Liver Disease [Spatial Transcriptomics]
Blocking the Gut–Liver IgA Axis Attenuates Macrophage-Mediated Inflammation and Injury in Alcohol-Associated Liver Disease [Spatial Transcriptomics]
We profiled spatial gene expression in mouse liver and intestine FFPE tissue sections using the 10x Genomics Visium Spatial Gene Expression for FFPE (v2, Mouse) platform. Samples included control and ethanol-fed groups with or without fingolimod (FTY720). Processed data include spatially resolved gene-by-spot count matrices generated by Space Ranger.
Datasets15
Size~499 MB
AssayVisium
Samplemouse · multiple
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse320442")
cohort.members # the 15 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-gse320442")
coll.ordered_artifacts.to_dataframe() # the 15 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-gse320442 --dest data/ Licenses: 15 NCBI GEO policy
Member datasets · 15
Mouse liver
GSM9824768
mouse liver 29.0 MB 1,762 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueliver
Spots1,762
silver H&E NCBI GEO policy
Cite this collection
No linked publication found — please cite the data source.