10x Xenium
Human ascending aorta
GSM9194122
bronze Interactive viewer temporal arteritis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27133, 48453), (1, 13566, 24226), (1, 6783, 12113), (1, 3391, 6056), (1, 1695, 3028)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (25871, 47205), (12935, 23602), (6467, 11801), (3233, 5900), (1616, 2950)
│ └── 'nucleus_labels': DataTree[yx] (25824, 47159), (12912, 23579), (6456, 11789), (3228, 5894), (1614, 2947)
├── Points
│ └── 'transcripts': DataFrame with shape: (2544956, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (49028, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (49028, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (49028, 2) (2D shapes)
└── Tables
└── 'table': AnnData (49028, 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("X6BSMsByDRYCLxbo0000")
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("X6BSMsByDRYCLxbo") # 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 X6BSMsByDRYCLxbo0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/X6BSMsByDRYCLxbo
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid X6BSMsByDRYCLxboLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ascending aorta
- Condition
- temporal arteritis
- Modality
- RNA
- Observations (cells)
- 49,028
- Transcripts
- 2,544,956
- Tier
- bronze
- Size
- 1.0 GB
- Sample ID
- GSM9194122
- License
- NCBI GEO policy
- Published
- Feb 5, 2026
Cite this dataset
doi.org/10.1172/jci.insight.200255 ↗ BibTeX
@article{geo:GSM9194122,
doi = {10.1172/jci.insight.200255},
title = {GSM9194122},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB