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Visium

Human uterine cervix

NCBI4

silver Interactive viewer H&E human papilloma virus infection ✓ Verified publication
Human uterine cervix preview
print(sdata)
SpatialData object
├── Images
│     └── 'NCBI4_full_image': DataTree[cyx] (3, 9681, 9920), (3, 4840, 4960), (3, 2420, 2480), (3, 1210, 1240)
├── Shapes
│     └── 'NCBI4_spots': GeoDataFrame shape: (1054, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (1054, 20615)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI4_full_image (Images), NCBI4_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("U5VYqoc0wA97cp3g")   # 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/U5VYqoc0wA97cp3g

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid U5VYqoc0wA97cp3g
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["U5VYqoc0wA97cp3g0000"])[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
uterine cervix
Condition
human papilloma virus infection
Modality
RNA
Observations
1,054
Tier
silver
Chemistry
Visium v1
Resolution
9,920 × 9,681 px
mpp
0.882 µm/px
Size
139 MB
Sample ID
NCBI4
License
CC BY-NC-SA 4.0 NonCommercial
Published
Apr 2, 2023

Cite this dataset

doi.org/10.1002/ctm2.1219 ↗
BibTeX
@article{Guo_2023,
  title = {Spatiotemporally deciphering the mysterious mechanism of persistent HPV‐induced malignant transition and immune remodelling from HPV‐infected normal cervix, precancer to cervical cancer: Integrating single‐cell RNA‐sequencing and spatial transcriptome},
  volume = {13},
  ISSN = {2001-1326},
  url = {http://dx.doi.org/10.1002/ctm2.1219},
  DOI = {10.1002/ctm2.1219},
  number = {3},
  journal = {Clinical and Translational Medicine},
  publisher = {Wiley},
  author = {Guo, Chenyan and Qu, Xinyu and Tang, Xiaoyan and Song, Yu and Wang, Jue and Hua, Keqin and Qiu, Junjun},
  year = {2023},
  month = Mar
}

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