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10x Xenium

Human synovial membrane of synovial joint

GSM9641126

bronze Interactive viewer rheumatoid factor-negative juvenile idiopathic arthritis Provisional
Human synovial membrane of synovial joint preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataTree[cyx] (1, 51031, 48307), (1, 25515, 24153), (1, 12757, 12076), (1, 6378, 6038), (1, 3189, 3019)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (50425, 48054), (25212, 24027), (12606, 12013), (6303, 6006), (3151, 3003)
│     └── 'nucleus_labels': DataTree[yx] (48050, 48007), (24025, 24003), (12012, 12001), (6006, 6000), (3003, 3000)
├── Points
│     └── 'transcripts': DataFrame with shape: (68471502, 13) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (78203, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (78203, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (78450, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (78203, 5001)
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)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("JAmf2Hy4ZExaiuep")   # 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
Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/JAmf2Hy4ZExaiuep

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid JAmf2Hy4ZExaiuep
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["JAmf2Hy4ZExaiuep0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
10x Xenium
Organism
human
Tissue
synovial membrane of synovial joint
Condition
rheumatoid factor-negative juvenile idiopathic arthritis
Modality
RNA
Observations
78,203
Transcripts
68,471,502
Tier
bronze
Size
2.6 GB
Sample ID
GSM9641126
License
unknown
Published
Apr 2, 2026

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB