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Visium

Human coronary artery

GSM8658915

silver Interactive viewer H&E atherosclerosis ✓ Verified publication
Human coronary artery preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8658915_sample4d1_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM8658915_sample4d1_hires_image': DataArray[cyx] (3, 2000, 1887)
│     └── 'GSM8658915_sample4d1_lowres_image': DataArray[cyx] (3, 600, 566)
├── Shapes
│     └── 'GSM8658915_sample4d1': GeoDataFrame shape: (1359, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1359, 18085)
with coordinate systems:
    ▸ 'GSM8658915_sample4d1', with elements:
        GSM8658915_sample4d1_full_image (Images), GSM8658915_sample4d1_hires_image (Images), GSM8658915_sample4d1_lowres_image (Images), GSM8658915_sample4d1 (Shapes)
    ▸ 'GSM8658915_sample4d1_downscaled_hires', with elements:
        GSM8658915_sample4d1_hires_image (Images), GSM8658915_sample4d1 (Shapes)
    ▸ 'GSM8658915_sample4d1_downscaled_lowres', with elements:
        GSM8658915_sample4d1_lowres_image (Images), GSM8658915_sample4d1 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("4AhdjBRW4TObInmF")   # latest version

sdata = artifact.load()   # cache, then load into memory
group = artifact.open()   # stream without downloading
path  = artifact.cache()  # sync into the local cache, returns the path
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/4AhdjBRW4TObInmF

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 4AhdjBRW4TObInmF
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["4AhdjBRW4TObInmF0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
Visium
Organism
human
Tissue
coronary artery
Condition
atherosclerosis
Modality
RNA
Observations
1,359
Tier
silver
Chemistry
Visium CytAssist v2
Resolution
1,887 × 2,000 px
mpp
2.490 µm/px
Size
24 MB
Sample ID
GSM8658915
License
CC BY 4.0
Published
Feb 11, 2025

Cite this dataset

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}
}

Source: NCBI GEO ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB