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Visium

Mouse prostate gland

NCBI792

silver Interactive viewer H&E ✓ Verified publication
Mouse prostate gland preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI792_full_image': DataTree[cyx] (3, 9866, 10201), (3, 4933, 5100), (3, 2466, 2550), (3, 1233, 1275)
├── Shapes
│     └── 'NCBI792_spots': GeoDataFrame shape: (14332, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (14332, 32589)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI792_full_image (Images), NCBI792_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("23wPxSAtdgQTWDD60000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)
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("23wPxSAtdgQTWDD6")   # 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
Shell
# sddb client: download the .zarr into data/
sddb-cli download 23wPxSAtdgQTWDD60000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/23wPxSAtdgQTWDD6

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 23wPxSAtdgQTWDD6

License: CC BY-NC-SA 4.0 (noncommercial)

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Metadata

Technology
Visium
Organism
mouse
Tissue
prostate gland
Modality
RNA
Observations (spots)
14,332
Tier
silver
Chemistry
Visium v1
Resolution
10,201 × 9,866 px
mpp
0.988 µm/px
Size
280 MB
Sample ID
NCBI792
License
CC BY-NC-SA 4.0 NonCommercial
Published
Dec 1, 2023

Cite this dataset

doi.org/10.1101/2023.03.29.534769 ↗
BibTeX
@article{Pakula_2023,
  title = {Distinct mesenchymal cell states mediate prostate cancer progression},
  url = {http://dx.doi.org/10.1101/2023.03.29.534769},
  DOI = {10.1101/2023.03.29.534769},
  publisher = {openRxiv},
  author = {Pakula, Hubert and Omar, Mohamed and Carelli, Ryan and Pederzoli, Filippo and Fanelli, Giuseppe Nicolò and Pannellini, Tania and Van Emmenis, Lucie and Rodrigues, Silvia and Fidalgo-Ribeiro, Caroline and Nuzzo, Pier V. and Brady, Nicholas J. and Jere, Madhavi and Unkenholz, Caitlin and Alexanderani, Mohammad K. and Khani, Francesca and de Almeida, Francisca Nunes and Abate-Shen, Cory and Greenblatt, Matthew B and Rickman, David S. and Barbieri, Christopher E. and Robinson, Brian D. and Marchionni, Luigi and Loda, Massimo},
  year = {2023},
  month = Apr
}

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