Visium
Human skin of body
GSM9368376
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9368376_MoNor_221_hires_image': DataArray[cyx] (3, 2000, 1966)
│ └── 'GSM9368376_MoNor_221_lowres_image': DataArray[cyx] (3, 600, 590)
├── Shapes
│ └── 'GSM9368376_MoNor_221': GeoDataFrame shape: (1833, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1833, 18085)
with coordinate systems:
▸ 'GSM9368376_MoNor_221', with elements:
GSM9368376_MoNor_221_hires_image (Images), GSM9368376_MoNor_221_lowres_image (Images), GSM9368376_MoNor_221 (Shapes)
▸ 'GSM9368376_MoNor_221_downscaled_hires', with elements:
GSM9368376_MoNor_221_hires_image (Images), GSM9368376_MoNor_221 (Shapes)
▸ 'GSM9368376_MoNor_221_downscaled_lowres', with elements:
GSM9368376_MoNor_221_lowres_image (Images), GSM9368376_MoNor_221 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("ftyyHL5E4FqKwfXw0000")
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("ftyyHL5E4FqKwfXw") # 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 ftyyHL5E4FqKwfXw0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ftyyHL5E4FqKwfXw
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ftyyHL5E4FqKwfXwLicense: NCBI GEO policy
Part of collection
Identification of a long-term surviving human mesenchymal stromal cell subpopulation upon intradermal injection in immunodeficient mice→ 7 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Modality
- RNA
- Observations (spots)
- 1,833
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,966 × 2,000 px
- mpp
- 3.093 µm/px
- Size
- 12.4 MB
- Sample ID
- GSM9368376
- License
- NCBI GEO policy
- Published
- Sep 23, 2026
Cite this dataset
doi.org/10.1186/s13287-026-05101-6 ↗ BibTeX
@article{Bonnet_des_Claustres_2026,
title = {Identification of a long-term surviving human mesenchymal stromal cell subpopulation and implications for recessive dystrophic epidermolysis bullosa treatment},
volume = {17},
ISSN = {1757-6512},
url = {http://dx.doi.org/10.1186/s13287-026-05101-6},
DOI = {10.1186/s13287-026-05101-6},
number = {1},
journal = {Stem Cell Research & Therapy},
publisher = {Springer Science and Business Media LLC},
author = {Bonnet des Claustres, Mathilde and Gaucher, Sonia and Carbone, Francesco and Peltzer, Juliette and Luka, Marine and Masson, Cécile and Nitschké, Patrick and Hovnanian, Alain and Titeux, Matthias},
year = {2026},
month = June
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB