Visium

Mouse heart

GSM9527707

bronze Interactive viewer H&E heart failure Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_hires_image': DataArray[cyx] (3, 2000, 2000)
│     └── 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL': GeoDataFrame shape: (924, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (924, 19465)
with coordinate systems:
    ▸ 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL', with elements:
        GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_full_image (Images), GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_hires_image (Images), GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_lowres_image (Images), GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL (Shapes)
    ▸ 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_downscaled_hires', with elements:
        GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_hires_image (Images), GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL (Shapes)
    ▸ 'GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_downscaled_lowres', with elements:
        GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL_lowres_image (Images), GSM9527707_alpha_MHC_MerCreMer_Het_TOP2B_LSL (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("u4z6zqY5vKtTYEGX0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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")
artifact = db.Artifact.get("u4z6zqY5vKtTYEGX")   # stem uid: Lamin resolves it to the 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download u4z6zqY5vKtTYEGX0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/u4z6zqY5vKtTYEGX

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid u4z6zqY5vKtTYEGX

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Spatial transcriptomic profiling of TOP2B-driven anthracycline-induced cardiotoxicity in mouse hearts→

2 datasets · comparison

Metadata

Technology: Visium
Organism: mouse
Tissue: heart
Condition: heart failure
Modality: RNA
Observations (spots): 924
Tier: bronze
Chemistry: Visium CytAssist v2
Resolution: 3,000 × 3,000 px
mpp: 3.680 µm/px
Size: 40.1 MB
Sample ID: GSM9527707
License: NCBI GEO policy
Published: Apr 8, 2026

Cite this dataset

doi.org/10.1158/2767-9764.CRC-25-0511 ↗

BibTeX

@article{geo:GSM9527707,
  doi = {10.1158/2767-9764.CRC-25-0511},
  title = {GSM9527707},
  year = {2026}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB