Mouse heart
GSM9527706
mouse heart 41.9 MB 1,256 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueheart
Spots1,256
bronze H&E NCBI GEO policy
Collections / Spatial transcriptomic profiling of TOP2B-driven anthracycline-induced cardiotoxicity in mouse hearts
Spatial transcriptomic profiling of TOP2B-driven anthracycline-induced cardiotoxicity in mouse hearts
Anthracycline-induced cardiotoxicity (AIC) is a major dose-limiting toxicity in cancer patients, traditionally attributed to off-target inhibition of TOP2B in cardiomyocytes. Here, we performed spatial transcriptomic profiling of mouse hearts to investigate the molecular mechanisms underlying AIC and TOP2B-mediated cardiac dysfunction. Using a tamoxifen-inducible, cardiomyocyte-specific human TOP2B transgenic mouse model, we analyzed spatial gene expression changes associated with heart failure phenotypes. Visium spatial RNA sequencing revealed dysregulation of cardiac contractile and metabolic pathways, including MYH6/MYH7 switching, NPPA upregulation, and UCP3 suppression. These data support a model in which TOP2B overexpression disrupts cardiomyocyte homeostasis and contributes directly to heart failure. This dataset provides a spatially resolved transcriptomic resource for studying TOP2B-driven cardiotoxicity and therapeutic intervention strategies.
Datasets2
Size~81.9 MB
AssayVisium
Samplemouse · heart
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse319842")
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/") 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-gse319842")
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()] Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse319842 --dest data/Licenses: 2 NCBI GEO policy
Member datasets · 2
Mouse heart
GSM9527707
mouse heart heart failure 40.1 MB 924 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueheart
Conditionheart failure
Spots924
bronze H&E NCBI GEO policy
Cite this collection
No linked publication found — please cite the data source.