10x Xenium

Mouse uterus

GSM9457937

bronze Interactive viewer Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     └── 'morphology_mip': DataArray[cyx] (1, 34096, 39841)
├── Points
│     └── 'transcripts': DataFrame with shape: (217078522, 13) (3D points)
├── Shapes
│     └── 'cell_circles': GeoDataFrame shape: (541215, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (541215, 480)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_mip (Images), transcripts (Points), cell_circles (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("lD89CVXWenpQ2Whu0000")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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("lD89CVXWenpQ2Whu")   # 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download lD89CVXWenpQ2Whu0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/lD89CVXWenpQ2Whu

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lD89CVXWenpQ2Whu

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Spatial Transcriptomic Mapping of Postnatal Mouse Uterine Development→

8 datasets · time course

Metadata

Technology: 10x Xenium
Organism: mouse
Tissue: uterus
Modality: RNA
Observations (cells): 541,215
Transcripts: 217,078,522
Tier: bronze
Size: 5.3 GB
Sample ID: GSM9457937
License: NCBI GEO policy
Published: Jul 8, 2026

Cite this dataset

doi.org/10.1073/pnas.2600524123 ↗

BibTeX

@article{Jamaluddin_2026,
  title = {Spatial transcriptomic mapping of postnatal mouse uterine development},
  volume = {123},
  ISSN = {1091-6490},
  url = {http://dx.doi.org/10.1073/pnas.2600524123},
  DOI = {10.1073/pnas.2600524123},
  number = {28},
  journal = {Proceedings of the National Academy of Sciences},
  publisher = {National Academy of Sciences},
  author = {Jamaluddin, M. Fairuz B. and Syed, Shafiq M. and Mohammed, Riazuddin and Goad, Jyoti and Hasan, Mehedi and Kumar, Manish and Moore, Isabella and Nagendra, Prathima B. and Vallabani, Naga Veera Srikanth and Bartlett, Florence and Anthonydhason, Vimala and Tanwar, Pradeep S.},
  year = {2026},
  month = July
}

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