Collections / Spatial transcriptomics of the mouse brain across three age groups
Spatial transcriptomics of the mouse brain across three age groups
Datasets6
Size~1.3 GB
AssayVisium
Samplemouse · brain
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("doi-10-1016-j-cell-2023-07-027")
cohort.members # the 6 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="doi-10.1016/j.cell.2023.07.027")
coll.ordered_artifacts.to_dataframe() # the 6 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 doi-10-1016-j-cell-2023-07-027 --dest data/ Licenses: 6 CC BY-NC-SA 4.0
About the study
Atlas of the aging mouse brain reveals white matter as vulnerable foci.
Read the abstract at the source →Member datasets · 6
Cite this collection
doi.org/10.1016/j.cell.2023.07.027 ↗ BibTeX
@article{Hahn_2023,
title = {Atlas of the aging mouse brain reveals white matter as vulnerable foci},
volume = {186},
ISSN = {0092-8674},
url = {http://dx.doi.org/10.1016/j.cell.2023.07.027},
DOI = {10.1016/j.cell.2023.07.027},
number = {19},
journal = {Cell},
publisher = {Elsevier BV},
author = {Hahn, Oliver and Foltz, Aulden G. and Atkins, Micaiah and Kedir, Blen and Moran-Losada, Patricia and Guldner, Ian H. and Munson, Christy and Kern, Fabian and Pálovics, Róbert and Lu, Nannan and Zhang, Hui and Kaur, Achint and Hull, Jacob and Huguenard, John R. and Grönke, Sebastian and Lehallier, Benoit and Partridge, Linda and Keller, Andreas and Wyss-Coray, Tony},
year = {2023},
month = Sept,
pages = {4117–4133.e22}
}