Spatiotemporal transcriptome analysis reveals critical roles for mechano-sensing genes at the border zone in remodeling after myocardial infarction
The underlying mechanisms of ventricular remodeling after myocardial infarction (MI) remain largely unknown. Here, we performed an integrative analysis of spatial transcriptomics and single-nucleus RNA-seq in a murine MI model and found that mechanical stress-response genes are expressed at the border zone and play a critical role in left ventricular remodeling following MI. An integrative analysis of single-nucleus RNA-seq and spatial transcriptome of the heart tissue after MI identified the unique cluster that appeared at the border zone in an early stage, highly expressing mechano-sensing genes such as Csrp3. AAV9-mediated gene silencing and overexpression of Csrp3 demonstrated that upregulation of Csrp3 plays critical roles in preventing cardiac remodeling after MI via regulation of genes associated with mechano-sensing. Overall, our study not only provides an insight into spatiotemporal molecular changes following MI but also highlights that the mechano-sensing genes at the border zone act as adaptive regulators of left ventricular remodeling.
from sddb import Catalog
cohort = Catalog().collection("geo-gse176092")
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/") 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-gse176092")
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()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse176092 --dest data/ Licenses: 14 NCBI GEO policy
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