Collections / Spatially-restricted and ontogenically-distinct hepatic macrophages are required for tissue repair.
Spatially-restricted and ontogenically-distinct hepatic macrophages are required for tissue repair.
Analysis of single cell RNA-seq, CITE-seq data and bulk RNA-seq data on cells isolated from the livers of mice following PBS and APAP (paracetamol/acetaminophen) administration. Spatial Transcriptomics analysis was performed using 10x Visium platform on mouse livers 48hrs post PBS or APAP administration. We also analysed single cell RNA-seq data on CD64+F4/80+ macrophages isolated from the livers of Trem2 fl/fl mice and CD64CRE Trem2 fl/fl mice.
Datasets3
Size~57.9 MB
AssayVisium
Samplemouse · liver
KindComparison
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Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse280515")
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-gse280515")
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-gse280515 --dest data/ Licenses: 3 NCBI GEO policy
Member datasets · 3
Cite this collection
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