spatial transcriptomics

Human breast

SPA75

silver H&E invasive ductal breast carcinoma ✓ Verified publication

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     └── 'SPA75_full_image': DataTree[cyx] (3, 9866, 9301), (3, 4933, 4650), (3, 2466, 2325), (3, 1233, 1162)
├── Shapes
│     └── 'SPA75_spots': GeoDataFrame shape: (284, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (284, 17660)
with coordinate systems:
    ▸ 'global', with elements:
        SPA75_full_image (Images), SPA75_spots (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("g0ha5UmW97ROAp8W0000")
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("g0ha5UmW97ROAp8W")   # 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 g0ha5UmW97ROAp8W0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/g0ha5UmW97ROAp8W

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid g0ha5UmW97ROAp8W

Install (Python 3.12+) Docs →

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

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Part of collection

Integrating spatial gene expression and breast tumour morphology via deep learning→

84 datasets · comparison

Metadata

Technology: spatial transcriptomics
Organism: human
Tissue: breast
Condition: invasive ductal breast carcinoma
Modality: RNA
Observations (spots): 284
Tier: silver
Chemistry: ST 1k
Resolution: 9,301 × 9,866 px
mpp: 0.687 µm/px
Size: 94.1 MB
Sample ID: SPA75
License: CC BY-NC-SA 4.0 NonCommercial
Published: Nov 30, 2021

Cite this dataset

doi.org/10.1126/science.aaf2403 ↗

BibTeX

@article{St_hl_2016,
  title = {Visualization and analysis of gene expression in tissue sections by spatial transcriptomics},
  volume = {353},
  ISSN = {1095-9203},
  url = {http://dx.doi.org/10.1126/science.aaf2403},
  DOI = {10.1126/science.aaf2403},
  number = {6294},
  journal = {Science},
  publisher = {American Association for the Advancement of Science (AAAS)},
  author = {Ståhl, Patrik L. and Salmén, Fredrik and Vickovic, Sanja and Lundmark, Anna and Navarro, José Fernández and Magnusson, Jens and Giacomello, Stefania and Asp, Michaela and Westholm, Jakub O. and Huss, Mikael and Mollbrink, Annelie and Linnarsson, Sten and Codeluppi, Simone and Borg, Åke and Pontén, Fredrik and Costea, Paul Igor and Sahlén, Pelin and Mulder, Jan and Bergmann, Olaf and Lundeberg, Joakim and Frisén, Jonas},
  year = {2016},
  month = July,
  pages = {78–82}
}

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