Collections / Spatial Gene Expression of Human Coronary Arteries Revealed the Molecular Features of Diffuse Intimal Thickening in Explanted Hearts

Spatial Gene Expression of Human Coronary Arteries Revealed the Molecular Features of Diffuse Intimal Thickening in Explanted Hearts

Diffuse intimal thickening (DIT) is a preclinical stage of atherogenesis in humans that does not exist in commonly used mouse models of atherosclerosis. Vascular smooth muscle cells (SMCs) are the predominant cell type that occupies the intimal and medial layers of human coronary arteries. The intimal layer of DIT is particularly prone to developing atherosclerosis later in life. Differences in the molecular features between the intimal and medial layers of DIT regions may represent the earliest changes that promote atherogenesis in humans, and can be studied by spatial molecular phenotyping.

Datasets6
Size~164 MB
AssayVisium
Samplehuman · coronary artery
KindOther
Flag a data issue
PMID:40076574 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse283269")
cohort.members        # the 6 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-gse283269")
coll.ordered_artifacts.to_dataframe()   # the 6 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-gse283269 --dest data/

Licenses: 6 CC BY 4.0

Open in Vitessce
Visium
Human coronary artery
GSM8658911
human coronary artery atherosclerosis 24.8 MB 799 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size24.8 MB
Spots799
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human coronary artery
GSM8658913
human coronary artery atherosclerosis 34.0 MB 1,741 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size34.0 MB
Spots1,741
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human coronary artery
GSM8658914
human coronary artery atherosclerosis 23.9 MB 999 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size23.9 MB
Spots999
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human coronary artery
GSM8658916
human coronary artery atherosclerosis 32.9 MB 952 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size32.9 MB
Spots952
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human coronary artery
GSM8658912
human coronary artery atherosclerosis 22.4 MB 732 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size22.4 MB
Spots732
silver H&E Open in Vitessce
Open in Vitessce
Visium
Human coronary artery
GSM8658915
human coronary artery atherosclerosis 25.7 MB 1,359 spots silver H&E
TechnologyVisium
Organismhuman
Tissuecoronary artery
Conditionatherosclerosis
Size25.7 MB
Spots1,359
silver H&E Open in Vitessce

Cite this collection

doi.org/10.3390/ijms26051949 ↗
BibTeX
@article{Li_2025,
  title = {Spatial Gene Expression of Human Coronary Arteries Revealed the Molecular Features of Diffuse Intimal Thickening in Explanted Hearts},
  volume = {26},
  ISSN = {1422-0067},
  url = {http://dx.doi.org/10.3390/ijms26051949},
  DOI = {10.3390/ijms26051949},
  number = {5},
  journal = {International Journal of Molecular Sciences},
  publisher = {MDPI AG},
  author = {Li, Boaz and Leung, Samuel and Elishaev, Maria and Cheng, Wan Hei and Mocci, Giuseppe and Björkegren, Johan L. M. and Lai, Chi and Singh, Amrit and Wang, Ying},
  year = {2025},
  month = Feb,
  pages = {1949}
}