10x Xenium
Human ascending aorta
GSM9194121
bronze Interactive viewer temporal arteritis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20824, 53832), (1, 10412, 26916), (1, 5206, 13458), (1, 2603, 6729), (1, 1301, 3364)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (18806, 49189), (9403, 24594), (4701, 12297), (2350, 6148), (1175, 3074)
│ └── 'nucleus_labels': DataTree[yx] (18759, 49142), (9379, 24571), (4689, 12285), (2344, 6142), (1172, 3071)
├── Points
│ └── 'transcripts': DataFrame with shape: (2525813, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (45520, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (45520, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (45520, 2) (2D shapes)
└── Tables
└── 'table': AnnData (45520, 377)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("TqBMZjoaLIGQwSMN0000")
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("TqBMZjoaLIGQwSMN") # 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 TqBMZjoaLIGQwSMN0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/TqBMZjoaLIGQwSMN
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid TqBMZjoaLIGQwSMNLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ascending aorta
- Condition
- temporal arteritis
- Modality
- RNA
- Observations (cells)
- 45,520
- Transcripts
- 2,525,813
- Tier
- bronze
- Size
- 986 MB
- Sample ID
- GSM9194121
- License
- NCBI GEO policy
- Published
- Feb 5, 2026
Cite this dataset
doi.org/10.1172/jci.insight.200255 ↗ BibTeX
@article{geo:GSM9194121,
doi = {10.1172/jci.insight.200255},
title = {GSM9194121},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB