Visium
Human liver
GSM8155169
bronze Interactive viewer H&E hepatoblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8155169_H286_hires_image': DataArray[cyx] (3, 2000, 1957)
│ └── 'GSM8155169_H286_lowres_image': DataArray[cyx] (3, 600, 587)
├── Shapes
│ └── 'GSM8155169_H286': GeoDataFrame shape: (4046, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4046, 17943)
with coordinate systems:
▸ 'GSM8155169_H286', with elements:
GSM8155169_H286_hires_image (Images), GSM8155169_H286_lowres_image (Images), GSM8155169_H286 (Shapes)
▸ 'GSM8155169_H286_downscaled_hires', with elements:
GSM8155169_H286_hires_image (Images), GSM8155169_H286 (Shapes)
▸ 'GSM8155169_H286_downscaled_lowres', with elements:
GSM8155169_H286_lowres_image (Images), GSM8155169_H286 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("ACP72MeQ6Zk0nPIe") # 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/ACP72MeQ6Zk0nPIe
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ACP72MeQ6Zk0nPIe Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["ACP72MeQ6Zk0nPIe0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Multiomic analysis uncovers a continuous spectrum of differentiation and Wnt-MDK-driven immune evasion in hepatoblastoma [Spatial Transcriptomics]→ 22 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- liver
- Condition
- hepatoblastoma
- Modality
- RNA
- Observations
- 4,046
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 1,957 × 2,000 px
- mpp
- 3.393 µm/px
- Size
- 31 MB
- Sample ID
- GSM8155169
- License
- unknown
- 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 ↗ · Reprocessed to SpatialData by SpatialData-DB