Visium
Mouse submandibular gland
GSM9026037
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9026037_C57_hires_image': DataArray[cyx] (3, 1990, 2000)
│ └── 'GSM9026037_C57_lowres_image': DataArray[cyx] (3, 597, 600)
├── Shapes
│ └── 'GSM9026037_C57': GeoDataFrame shape: (1849, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1849, 56748)
with coordinate systems:
▸ 'GSM9026037_C57', with elements:
GSM9026037_C57_hires_image (Images), GSM9026037_C57_lowres_image (Images), GSM9026037_C57 (Shapes)
▸ 'GSM9026037_C57_downscaled_hires', with elements:
GSM9026037_C57_hires_image (Images), GSM9026037_C57 (Shapes)
▸ 'GSM9026037_C57_downscaled_lowres', with elements:
GSM9026037_C57_lowres_image (Images), GSM9026037_C57 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("72RjYzAXUCFU4yA50000")
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("72RjYzAXUCFU4yA5") # 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 72RjYzAXUCFU4yA50000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/72RjYzAXUCFU4yA5
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 72RjYzAXUCFU4yA5License: NCBI GEO policy
Part of collection
Salivary gland transcriptomic analysis in the IL-14α transgenic mouse model of Sjögren’s disease using Visium V1 3' spatial gene expression assay→ 2 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- submandibular gland
- Modality
- RNA
- Observations (spots)
- 1,849
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,990 px
- mpp
- 3.449 µm/px
- Size
- 24.8 MB
- Sample ID
- GSM9026037
- License
- NCBI GEO policy
- Published
- Jul 8, 2025
Cite this dataset
doi.org/10.3389/fdmed.2025.1612522 ↗ BibTeX
@article{Woods_2025,
title = {Salivary gland transcriptomic analysis and immunophenotyping in the IL-14α transgenic mouse model of Sjögren’s disease},
volume = {6},
ISSN = {2673-4915},
url = {http://dx.doi.org/10.3389/fdmed.2025.1612522},
DOI = {10.3389/fdmed.2025.1612522},
journal = {Frontiers in Dental Medicine},
publisher = {Frontiers Media SA},
author = {Woods, Lucas T. and Jasmer, Kimberly J. and Muñoz Forti, Kevin and Kearns, Alex and Weisman, Gary A.},
year = {2025},
month = July
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB