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Visium

Mouse uterus

NCBI825

silver Interactive viewer H&E Zika virus infectious disease ✓ Verified publication
Mouse uterus preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI825_full_image': DataTree[cyx] (3, 9544, 10045), (3, 4772, 5022), (3, 2386, 2511), (3, 1193, 1255)
├── Shapes
│     └── 'NCBI825_spots': GeoDataFrame shape: (1159, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1159, 32285)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI825_full_image (Images), NCBI825_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("JIQWxZ0a2ZV9AhEy0000")
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("JIQWxZ0a2ZV9AhEy")   # 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 JIQWxZ0a2ZV9AhEy0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/JIQWxZ0a2ZV9AhEy

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid JIQWxZ0a2ZV9AhEy

License: CC BY-NC-SA 4.0 (noncommercial)

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
Visium
Organism
mouse
Tissue
uterus
Condition
Zika virus infectious disease
Modality
RNA
Observations (spots)
1,159
Tier
silver
Chemistry
Visium v1
Resolution
10,045 × 9,544 px
mpp
0.914 µm/px
Size
93.1 MB
Sample ID
NCBI825
License
CC BY-NC-SA 4.0 NonCommercial
Published
Jun 3, 2023

Cite this dataset

doi.org/10.1016/j.ajog.2023.08.012 ↗
BibTeX
@article{Barrozo_2024,
  title = {Zika virus co-opts microRNA networks to persist in placental niches detected by spatial transcriptomics},
  volume = {230},
  ISSN = {0002-9378},
  url = {http://dx.doi.org/10.1016/j.ajog.2023.08.012},
  DOI = {10.1016/j.ajog.2023.08.012},
  number = {2},
  journal = {American Journal of Obstetrics and Gynecology},
  publisher = {Elsevier BV},
  author = {Barrozo, Enrico R. and Seferovic, Maxim D. and Hamilton, Mark P. and Moorshead, David N. and Jochum, Michael D. and Do, Trang and O’Neil, Derek S. and Suter, Melissa A. and Aagaard, Kjersti M.},
  year = {2024},
  month = Feb,
  pages = {251.e1–251.e17}
}

Source: NCBI GEO ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB