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Visium

Human urinary bladder

NCBI854

silver Interactive viewer H&E bladder transitional cell carcinoma ✓ Verified publication
Human urinary bladder preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI854_full_image': DataTree[cyx] (3, 13447, 14054), (3, 6723, 7027), (3, 3361, 3513), (3, 1680, 1756)
├── Shapes
│     └── 'NCBI854_spots': GeoDataFrame shape: (699, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (699, 17787)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI854_full_image (Images), NCBI854_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("Q1Tf6PPtg5uikwHU")   # 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/Q1Tf6PPtg5uikwHU

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Q1Tf6PPtg5uikwHU
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["Q1Tf6PPtg5uikwHU0000"])[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
Visium
Organism
human
Tissue
urinary bladder
Condition
bladder transitional cell carcinoma
Modality
RNA
Observations
699
Tier
silver
Chemistry
Visium v1
Resolution
14,054 × 13,447 px
mpp
0.623 µm/px
Size
390 MB
Sample ID
NCBI854
License
CC BY-NC-SA 4.0 NonCommercial
Published
May 13, 2024

Cite this dataset

doi.org/10.1016/j.celrep.2024.114141 ↗
BibTeX
@article{Ziblat_2024,
  title = {Batf3+ DCs and the 4-1BB/4-1BBL axis are required at the effector phase in the tumor microenvironment for PD-1/PD-L1 blockade efficacy},
  volume = {43},
  ISSN = {2211-1247},
  url = {http://dx.doi.org/10.1016/j.celrep.2024.114141},
  DOI = {10.1016/j.celrep.2024.114141},
  number = {5},
  journal = {Cell Reports},
  publisher = {Elsevier BV},
  author = {Ziblat, Andrea and Horton, Brendan L. and Higgs, Emily F. and Hatogai, Ken and Martinez, Anna and Shapiro, Jason W. and Kim, Danny E.C. and Zha, YuanYuan and Sweis, Randy F. and Gajewski, Thomas F.},
  year = {2024},
  month = May,
  pages = {114141}
}

Source: sciencedirect.com ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB