We obtained transcriptome profiling of small intestine from mice fed control diet (CD) or stearic acid-rich HFD by using 10X Visium.
from sddb import Catalog
cohort = Catalog().collection("geo-gse277106")
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-gse277106")
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-gse277106 --dest data/Licenses: 2 NCBI GEO policy
@article{Nakata_2026,
title = {Dietary Stearic Acid Accelerates Intestinal Tumorigenesis via Fatty Acid-binding Protein 5 Without Promoting Obesity},
volume = {20},
ISSN = {2352-345X},
url = {http://dx.doi.org/10.1016/j.jcmgh.2026.101740},
DOI = {10.1016/j.jcmgh.2026.101740},
number = {5},
journal = {Cellular and Molecular Gastroenterology and Hepatology},
publisher = {Elsevier BV},
author = {Nakata, Kazuaki and Komiyama, Seiga and Sekine, Keisuke and Nagai, Motoyoshi and Okawa, Takuma and Ohashi, Wakana and Nakano, Kenta and Okamura, Tadashi and Kozono, Takuma and Takemura, Nobuyuki and Yamada, Kazuhiko and Kokudo, Norihiro and Dohi, Taeko and Hase, Koji and Kawamura, Yuki I.},
year = {2026},
pages = {101740}
}