Mouse brain
GSM8471251
mouse brain 46.0 MB 4,969 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Spots4,969
Magnificationother · 3.840 µm/px
bronze H&E NCBI GEO policy
Collections / Effects of inhibiting stearoyl-CoA desaturase (SCD) on the spatial transcriptome in a mouse model of Alzheimer's disease (AD)
Effects of inhibiting stearoyl-CoA desaturase (SCD) on the spatial transcriptome in a mouse model of Alzheimer's disease (AD)
Here, the effects of a stearoyl-CoA desaturase inhibitor (SCDi) on the mouse brain spatial transcriptome was investigated. More precisely, wild-type and 3xTg-AD female mice were infused in the brain left lateral ventricle with control (DMSO) or SCDi during 28 days (after the implantation of electrodes for electrocorticography and electromyography). Brains were sampled on the morning of Day 31 after the beginning of treatment, and immediately frozen. Brains were treated and libraries were prepared according to 10x Genomics protocols for Visium Spatial Gene Expression. Sequencing was conducted by Genome Quebec (Montreal, QC, Canada).
Datasets4
Size~202 MB
AssayVisium
Samplemouse · brain
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse275131")
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-gse275131")
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-gse275131 --dest data/Licenses: 4 NCBI GEO policy
Member datasets · 4
Mouse brain
GSM8471249
mouse brain 51.6 MB 4,953 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Spots4,953
Magnificationother · 3.688 µm/px
bronze H&E NCBI GEO policy
Mouse brain
GSM8471252
mouse brain Alzheimer disease 56.0 MB 4,992 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
ConditionAlzheimer disease
Spots4,992
Magnificationother · 3.966 µm/px
bronze H&E NCBI GEO policy
Mouse brain
GSM8471250
mouse brain Alzheimer disease 48.4 MB 4,984 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
ConditionAlzheimer disease
Spots4,984
Magnificationother · 4.033 µm/px
bronze H&E NCBI GEO policy
Cite this collection
doi.org/10.1016/j.neuropharm.2026.110835 ↗ BibTeX
@article{Hector_2026,
title = {Electrocorticographic, astrocytic and transcriptomic signatures in the triple transgenic mouse model of Alzheimer’s disease submitted to stearoyl-CoA desaturase inhibition},
volume = {289},
ISSN = {0028-3908},
url = {http://dx.doi.org/10.1016/j.neuropharm.2026.110835},
DOI = {10.1016/j.neuropharm.2026.110835},
journal = {Neuropharmacology},
publisher = {Elsevier BV},
author = {Hector, Audrey and Leduc, Tanya and da Costa Caiado, Maria João and Delignat-Lavaud, Benoît and Dufort-Gervais, Julien and Daneault, Caroline and Des Rosiers, Christine and Bourguignon, Clément and Lina, Jean-Marc and Fernandes, Karl and Brouillette, Jonathan and Mongrain, Valérie},
year = {2026},
month = May,
pages = {110835}
}