Collections / Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [Xenium]
Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [Xenium]
Skin injuries heal slowly, compared to oral epithelial tissues, and often do not regenerate lost adnexa. Using a murine mouse model expressing the oral epithelial transcription factor PITX1 in the skin, we performed Xenium in situ analysis in healthy and wounded skin and healthy oral mucosa to delineate the cellular and molecular changes underpinning the superior oral wounding response.
Datasets4
Size~2.3 GB
Assay10x Xenium
Samplemouse · multiple
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse280069")
cohort.members # the 4 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-gse280069")
coll.ordered_artifacts.to_dataframe() # the 4 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-gse280069 --dest data/ Licenses: 4 NCBI GEO policy
Member datasets · 4
Cite this collection
No linked publication found — please cite the data source.