Preeclampsia (PE) is a major pregnancy complication leading to maternal and neonatal mortality. To investigate the spatial gene expression profile of preeclampsia, we performed the Visium FFPE spatial transcriptome analysis.
from sddb import Catalog
cohort = Catalog().collection("geo-gse266604")
cohort.members # the 2 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/")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-gse266604")
coll.ordered_artifacts.to_dataframe() # the 2 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse266604 --dest data/Licenses: 2 NCBI GEO policy
@article{Matsuo_2026,
title = {LIMCH1-enriched extracellular vesicles promote vascular permeability in early-onset preeclampsia},
volume = {12},
ISSN = {2375-2548},
url = {http://dx.doi.org/10.1126/sciadv.aeb8806},
DOI = {10.1126/sciadv.aeb8806},
number = {5},
journal = {Science Advances},
publisher = {American Association for the Advancement of Science (AAAS)},
author = {Matsuo, Seiko and Yokoi, Akira and Ushida, Takafumi and Yoshida, Kosuke and Suzuki, Hironori and Kitagawa, Masami and Asano-Inami, Eri and Yamada, Hiroaki and Miki, Rika and Tano, Sho and Imai, Kenji and Nagata, Ichiro and Kawaguchi, Shota and Yasui, Takao and Yamamoto, Yusuke and Kajiyama, Hiroaki and Kotani, Tomomi},
year = {2026},
month = Jan
}