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Visium

Human liver

GSM8657784

silver Interactive viewer H&E hepatoblastoma ✓ Verified publication
Human liver preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8657784_H1191_full_image': DataTree[cyx] (3, 3000, 3000), (3, 1500, 1500), (3, 750, 750), (3, 375, 375), (3, 187, 187)
│     ├── 'GSM8657784_H1191_hires_image': DataArray[cyx] (3, 2000, 2000)
│     └── 'GSM8657784_H1191_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'GSM8657784_H1191': GeoDataFrame shape: (4694, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (4694, 18085)
with coordinate systems:
    ▸ 'GSM8657784_H1191', with elements:
        GSM8657784_H1191_full_image (Images), GSM8657784_H1191_hires_image (Images), GSM8657784_H1191_lowres_image (Images), GSM8657784_H1191 (Shapes)
    ▸ 'GSM8657784_H1191_downscaled_hires', with elements:
        GSM8657784_H1191_hires_image (Images), GSM8657784_H1191 (Shapes)
    ▸ 'GSM8657784_H1191_downscaled_lowres', with elements:
        GSM8657784_H1191_lowres_image (Images), GSM8657784_H1191 (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("OmvHirLOkWs9r0gh")   # 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/OmvHirLOkWs9r0gh

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid OmvHirLOkWs9r0gh
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["OmvHirLOkWs9r0gh0000"])[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
liver
Condition
hepatoblastoma
Modality
RNA
Observations
4,694
Tier
silver
Chemistry
Visium CytAssist v2
Resolution
3,000 × 3,000 px
mpp
3.697 µm/px
Size
67 MB
Sample ID
GSM8657784
License
NCBI GEO policy
Published
Feb 7, 2025

Cite this dataset

doi.org/10.1016/j.jhep.2025.01.031 ↗
BibTeX
@article{M_nter_2025,
  title = {Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma},
  volume = {83},
  ISSN = {0168-8278},
  url = {http://dx.doi.org/10.1016/j.jhep.2025.01.031},
  DOI = {10.1016/j.jhep.2025.01.031},
  number = {2},
  journal = {Journal of Hepatology},
  publisher = {Elsevier BV},
  author = {Münter, Daniel and de Faria, Flavia W. and Richter, Mathis and Aranda-Pardos, Irene and Hotfilder, Marc and Walter, Carolin and Paga, Enya and Inserte, Clara and Albert, Thomas K. and Roy, Rajanya and Rahman, Shariyah and Riedel, Nicole C. and Müller, Volker and Pascher, Andreas and Wiebe, Karsten and Schmid, Irene and Vokuhl, Christian and Winkler, Beate and Jüttner, Eva and Vieth, Simon and Mücke, Urs and Kluiver, Thomas A. and Peng, Weng Chuan and Rossig, Claudia and Schlué, Jerome and Madadi-Sanjani, Omid and Sandmann, Sarah and Hartmann, Wolfgang and A-Gonzalez, Noelia and Soehnlein, Oliver and Kerl, Kornelius},
  year = {2025},
  month = Aug,
  pages = {367–382}
}

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