Visium
Human skin of body
GSM9022969
bronze Interactive viewer cutaneous melanoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9022969_B1_hires_image': DataArray[cyx] (3, 1934, 2000)
│ └── 'GSM9022969_B1_lowres_image': DataArray[cyx] (3, 580, 600)
├── Shapes
│ └── 'GSM9022969_B1': GeoDataFrame shape: (14328, 2) (2D shapes)
└── Tables
└── 'table': AnnData (14328, 37082)
with coordinate systems:
▸ 'GSM9022969_B1', with elements:
GSM9022969_B1_hires_image (Images), GSM9022969_B1_lowres_image (Images), GSM9022969_B1 (Shapes)
▸ 'GSM9022969_B1_downscaled_hires', with elements:
GSM9022969_B1_hires_image (Images), GSM9022969_B1 (Shapes)
▸ 'GSM9022969_B1_downscaled_lowres', with elements:
GSM9022969_B1_lowres_image (Images), GSM9022969_B1 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("YwxIHGB4NsC6rC3Z0000")
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("YwxIHGB4NsC6rC3Z") # 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 YwxIHGB4NsC6rC3Z0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/YwxIHGB4NsC6rC3Z
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YwxIHGB4NsC6rC3ZLicense: NCBI GEO policy
Part of collection
Spatial gene expression and microenvironmental changes in the transition of nevus to melanoma→ 11 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- cutaneous melanoma
- Modality
- RNA
- Observations (spots)
- 14,328
- Tier
- bronze
- Chemistry
- Visium v1
- Size
- 169 MB
- Sample ID
- GSM9022969
- License
- NCBI GEO policy
- Published
- Jun 2, 2026
Cite this dataset
doi.org/10.1158/0008-5472.can-25-2934 ↗ BibTeX
@article{Kreuger_2026,
title = {Spatial Analysis Reveals Gene Expression and Microenvironmental Changes in the Transition of Nevus to Melanoma},
volume = {86},
ISSN = {1538-7445},
url = {http://dx.doi.org/10.1158/0008-5472.can-25-2934},
DOI = {10.1158/0008-5472.can-25-2934},
number = {17},
journal = {Cancer Research},
publisher = {American Association for Cancer Research (AACR)},
author = {Kreuger, Inger Z.M. and Merkus, Veerle A. and de Haan, Sanne and Schrader, Anne M.R. and Scheeren, Ferenc A. and van der Burg, Sjoerd H. and van Groningen, Tim and Slieker, Roderick C. and van Doorn, Remco},
year = {2026},
month = June,
pages = {4400–4413}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB