Visium

Human uterine cervix

NCBI3

silver Interactive viewer H&E cervical intraepithelial neoplasia grade 2/3 ✓ Verified publication

Preview Download via Python Download via CLI Load via sddb

print(sdata)

SpatialData object
├── Images
│     └── 'NCBI3_full_image': DataTree[cyx] (3, 9524, 9984), (3, 4762, 4992), (3, 2381, 2496), (3, 1190, 1248)
├── Shapes
│     └── 'NCBI3_spots': GeoDataFrame shape: (579, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (579, 20615)
with coordinate systems:
    ▸ 'global', with elements:
        NCBI3_full_image (Images), NCBI3_spots (Shapes)

Load in Python

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("QLX8F7Kk5Fhqos7p")   # 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/QLX8F7Kk5Fhqos7p

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid QLX8F7Kk5Fhqos7p

Load with the Python client

# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["QLX8F7Kk5Fhqos7p0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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

Part of collection

Spatiotemporally Deciphering the Unknown Role of Persistent HPV Infection in Precancer to Cervical Cancer Progression: Integrating Single-Cell RNA-Sequencing Landscape and Spatial Transcriptomics Atlas [Spatial Transcriptomics]→

4 datasets · comparison

Metadata

Technology: Visium
Organism: human
Tissue: uterine cervix
Condition: cervical intraepithelial neoplasia grade 2/3
Modality: RNA
Observations: 579
Tier: silver
Chemistry: Visium v1
Resolution: 9,984 × 9,524 px
mpp: 0.910 µm/px
Size: 128 MB
Sample ID: NCBI3
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