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Visium

Mouse liver

NCBI621

silver Interactive viewer H&E hepatoblastoma ✓ Verified publication
Mouse liver preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI621_full_image': DataTree[cyx] (3, 10000, 9896), (3, 5000, 4948), (3, 2500, 2474), (3, 1250, 1237)
├── Shapes
│     └── 'NCBI621_spots': GeoDataFrame shape: (4989, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4989, 31053)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI621_full_image (Images), NCBI621_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("IrxNuPqyc0VnwdjU")   # 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/IrxNuPqyc0VnwdjU

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid IrxNuPqyc0VnwdjU
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["IrxNuPqyc0VnwdjU0000"])[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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Part of collection
mousemodel_Heptablastoma spatial transcriptomics→
10 datasets · publication

Metadata

Technology
Visium
Organism
mouse
Tissue
liver
Condition
hepatoblastoma
Modality
RNA
Observations
4,989
Tier
silver
Chemistry
Visium v1
Resolution
9,896 × 10,000 px
mpp
0.890 µm/px
Size
191 MB
Sample ID
NCBI621
License
CC BY-NC-SA 4.0 NonCommercial
Published
Jun 9, 2023

Cite this dataset

doi.org/10.1038/s41467-023-39717-6 ↗
BibTeX
@article{Fang_2023,
  title = {Genome-wide mapping of cancer dependency genes and genetic modifiers of chemotherapy in high-risk hepatoblastoma},
  volume = {14},
  ISSN = {2041-1723},
  url = {http://dx.doi.org/10.1038/s41467-023-39717-6},
  DOI = {10.1038/s41467-023-39717-6},
  number = {1},
  journal = {Nature Communications},
  publisher = {Springer Science and Business Media LLC},
  author = {Fang, Jie and Singh, Shivendra and Cheng, Changde and Natarajan, Sivaraman and Sheppard, Heather and Abu-Zaid, Ahmed and Durbin, Adam D. and Lee, Ha Won and Wu, Qiong and Steele, Jacob and Connelly, Jon P. and Jin, Hongjian and Chen, Wenan and Fan, Yiping and Pruett-Miller, Shondra M. and Rehg, Jerold E. and Koo, Selene C. and Santiago, Teresa and Emmons, Joseph and Cairo, Stefano and Wang, Ruoning and Glazer, Evan S. and Murphy, Andrew J. and Chen, Taosheng and Davidoff, Andrew M. and Armengol, Carolina and Easton, John and Chen, Xiang and Yang, Jun},
  year = {2023},
  month = July
}

Source: nature.com ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB