Visium

Mouse uterus

GSM8442781

bronze Interactive viewer H&E Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM8442781_L-d2_hires_image': DataArray[cyx] (3, 1855, 2000)
│     └── 'GSM8442781_L-d2_lowres_image': DataArray[cyx] (3, 557, 600)
├── Shapes
│     └── 'GSM8442781_L-d2': GeoDataFrame shape: (408, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (408, 32285)
with coordinate systems:
    ▸ 'GSM8442781_L-d2', with elements:
        GSM8442781_L-d2_hires_image (Images), GSM8442781_L-d2_lowres_image (Images), GSM8442781_L-d2 (Shapes)
    ▸ 'GSM8442781_L-d2_downscaled_hires', with elements:
        GSM8442781_L-d2_hires_image (Images), GSM8442781_L-d2 (Shapes)
    ▸ 'GSM8442781_L-d2_downscaled_lowres', with elements:
        GSM8442781_L-d2_lowres_image (Images), GSM8442781_L-d2 (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("E3LbJtZs82sldiWp0000")
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("E3LbJtZs82sldiWp")   # 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 E3LbJtZs82sldiWp0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/E3LbJtZs82sldiWp

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid E3LbJtZs82sldiWp

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Hif2α–Lox mediated collagen remodelling is crucial for embryo invasion→

6 datasets · comparison

Metadata

Technology: Visium
Organism: mouse
Tissue: uterus
Modality: RNA
Observations (spots): 408
Tier: bronze
Chemistry: Visium v1
Magnification: other
Resolution: 2,000 × 1,855 px
mpp: 3.623 µm/px
Size: 13.0 MB
Sample ID: GSM8442781
License: NCBI GEO policy
Published: Feb 18, 2026

Cite this dataset

doi.org/10.1038/s41419-026-08485-8 ↗

BibTeX

@article{Aikawa_2026,
  title = {HIF2α-induced lysyl oxidase safeguards successful pregnancy by remodelling collagens at the feto-maternal interface},
  volume = {17},
  ISSN = {2041-4889},
  url = {http://dx.doi.org/10.1038/s41419-026-08485-8},
  DOI = {10.1038/s41419-026-08485-8},
  number = {1},
  journal = {Cell Death &amp; Disease},
  publisher = {Springer Science and Business Media LLC},
  author = {Aikawa, Shizu and Shimizu-Hirota, Ryoko and Sakashita, Akihiko and He, Xueting and Hiratsuka, Daiki and Ishizawa, Chihiro and Iida, Rei and Fukui, Yamato and Hiraoka, Takehiro and Matsuo, Mitsunori and Takeda, Norihiko and Ikawa, Masahito and Osuga, Yutaka and Hirota, Yasushi},
  year = {2026},
  month = Mar
}

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