Visium
Human lung
GSM8427437
bronze lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8427437_LM_SD_1216_8_hires_image': DataArray[cyx] (3, 1922, 2000)
│ └── 'GSM8427437_LM_SD_1216_8_lowres_image': DataArray[cyx] (3, 577, 600)
├── Shapes
│ └── 'GSM8427437_LM_SD_1216_8': GeoDataFrame shape: (2855, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2855, 17943)
with coordinate systems:
▸ 'GSM8427437_LM_SD_1216_8', with elements:
GSM8427437_LM_SD_1216_8_hires_image (Images), GSM8427437_LM_SD_1216_8_lowres_image (Images), GSM8427437_LM_SD_1216_8 (Shapes)
▸ 'GSM8427437_LM_SD_1216_8_downscaled_hires', with elements:
GSM8427437_LM_SD_1216_8_hires_image (Images), GSM8427437_LM_SD_1216_8 (Shapes)
▸ 'GSM8427437_LM_SD_1216_8_downscaled_lowres', with elements:
GSM8427437_LM_SD_1216_8_lowres_image (Images), GSM8427437_LM_SD_1216_8 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("YEdtfHnIB0GFWRmH0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) 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("YEdtfHnIB0GFWRmH") # 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download YEdtfHnIB0GFWRmH0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/YEdtfHnIB0GFWRmH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YEdtfHnIB0GFWRmHLicense: NCBI GEO policy
Part of collection
Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma [Spatial Transcriptomics]→ 16 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Condition
- lung adenocarcinoma
- Modality
- RNA
- Observations (spots)
- 2,855
- Tier
- bronze
- Chemistry
- Visium v1
- Size
- 29.6 MB
- Sample ID
- GSM8427437
- License
- NCBI GEO policy
- Published
- Jan 26, 2026
Cite this dataset
doi.org/10.1038/s41467-026-70600-2 ↗ BibTeX
@article{Steiner_2026,
title = {Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma},
volume = {17},
ISSN = {2041-1723},
url = {http://dx.doi.org/10.1038/s41467-026-70600-2},
DOI = {10.1038/s41467-026-70600-2},
number = {1},
journal = {Nature Communications},
publisher = {Springer Science and Business Media LLC},
author = {Steiner, Dylan and Sultan, Lila and Sullivan, Travis and Liu, Hanqiao and Xiao, Xiaohui and LeClerc, Ashley and Melvin, Savannah and Alekseyev, Yuriy O. and Liu, Gang and Mazzilli, Sarah A. and Zhang, Jiarui and Suzuki, Kei and Rieger-Christ, Kimberly and Burks, Eric J. and Beane, Jennifer and Lenburg, Marc E.},
year = {2026},
month = Mar
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB