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Visium

Human intestine

MISC67

silver Interactive viewer H&E colon adenocarcinoma ✓ Verified publication
Human intestine preview
print(sdata)
SpatialData object
├── Images
│     └── 'MISC67_full_image': DataTree[cyx] (3, 30768, 32871), (3, 15384, 16435), (3, 7692, 8217), (3, 3846, 4108)
├── Shapes
│     └── 'MISC67_spots': GeoDataFrame shape: (2551, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2551, 19384)
with coordinate systems:
    ▸ 'global', with elements:
        MISC67_full_image (Images), MISC67_spots (Shapes)
Load in Python
import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("gLJ2wJy44Esyq6ik")   # 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/gLJ2wJy44Esyq6ik

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid gLJ2wJy44Esyq6ik
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["gLJ2wJy44Esyq6ik0000"])[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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Part of collection
COLON MAP: Colon Molecular Atlas Project→
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Metadata

Technology
Visium
Organism
human
Tissue
intestine
Condition
colon adenocarcinoma
Modality
RNA
Observations
2,551
Tier
silver
Chemistry
Visium v1
Magnification
40x
Resolution
32,871 × 30,768 px
mpp
0.276 µm/px
Size
2.2 GB
Sample ID
MISC67
License
CC BY-NC-SA 4.0 NonCommercial
Published
Dec 7, 2023

Cite this dataset

doi.org/10.1016/j.cell.2021.11.031 ↗
BibTeX
@article{Chen_2021,
  title = {Differential pre-malignant programs and microenvironment chart distinct paths to malignancy in human colorectal polyps},
  volume = {184},
  ISSN = {0092-8674},
  url = {http://dx.doi.org/10.1016/j.cell.2021.11.031},
  DOI = {10.1016/j.cell.2021.11.031},
  number = {26},
  journal = {Cell},
  publisher = {Elsevier BV},
  author = {Chen, Bob and Scurrah, Cherie’ R. and McKinley, Eliot T. and Simmons, Alan J. and Ramirez-Solano, Marisol A. and Zhu, Xiangzhu and Markham, Nicholas O. and Heiser, Cody N. and Vega, Paige N. and Rolong, Andrea and Kim, Hyeyon and Sheng, Quanhu and Drewes, Julia L. and Zhou, Yuan and Southard-Smith, Austin N. and Xu, Yanwen and Ro, James and Jones, Angela L. and Revetta, Frank and Berry, Lynne D. and Niitsu, Hiroaki and Islam, Mirazul and Pelka, Karin and Hofree, Matan and Chen, Jonathan H. and Sarkizova, Siranush and Ng, Kimmie and Giannakis, Marios and Boland, Genevieve M. and Aguirre, Andrew J. and Anderson, Ana C. and Rozenblatt-Rosen, Orit and Regev, Aviv and Hacohen, Nir and Kawasaki, Kenta and Sato, Toshiro and Goettel, Jeremy A. and Grady, William M. and Zheng, Wei and Washington, M. Kay and Cai, Qiuyin and Sears, Cynthia L. and Goldenring, James R. and Franklin, Jeffrey L. and Su, Timothy and Huh, Won Jae and Vandekar, Simon and Roland, Joseph T. and Liu, Qi and Coffey, Robert J. and Shrubsole, Martha J. and Lau, Ken S.},
  year = {2021},
  month = Dec,
  pages = {6262–6280.e26}
}

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