Collections / Spatial transcriptomics reveal unnresolved wound repair as potential driver of PFA Ependymoma progression
Spatial transcriptomics reveal unnresolved wound repair as potential driver of PFA Ependymoma progression
Datasets14
Size~5.7 GB
AssayVisium
Samplehuman · brain
KindReplicates
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("doi-10-1093-neuonc-noac079-165")
cohort.members # the 14 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-10.1093/neuonc/noac079.165")
coll.ordered_artifacts.to_dataframe() # the 14 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-10-1093-neuonc-noac079-165 --dest data/ Licenses: 14 CC BY-NC-SA 4.0
Member datasets · 14
Cite this collection
doi.org/10.1093/neuonc/noac079.165 ↗ BibTeX
@article{Donson_2022,
title = {EPEN-29. Spatial transcriptomic analysis of ependymoma implicates unresolved wound healing as a driver of tumor progression},
volume = {24},
ISSN = {1523-5866},
url = {http://dx.doi.org/10.1093/neuonc/noac079.165},
DOI = {10.1093/neuonc/noac079.165},
number = {Supplement_1},
journal = {Neuro-Oncology},
publisher = {Oxford University Press (OUP)},
author = {Donson, Andrew and Fu, Rui and Norris, gregory and Willard, Nicholas and Griesinger, Andrea and Riemondy, Kent and Amani, Vladimir and Grimaldo, Enrique and Harris, Faith and Hankinson, Todd and Mitra, Siddhartha and Ritzmann, timothy and Grundy, Richard and Foreman, Nicholas},
year = {2022},
month = June,
pages = {i45–i45}
}