Visium
Human brain
GSM7507315
bronze Interactive viewer H&E glioblastoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7507315_ST_Pt5_hires_image': DataArray[cyx] (3, 2000, 1934)
│ └── 'GSM7507315_ST_Pt5_lowres_image': DataArray[cyx] (3, 600, 580)
├── Shapes
│ └── 'GSM7507315_ST_Pt5': GeoDataFrame shape: (1858, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1858, 36601)
with coordinate systems:
▸ 'GSM7507315_ST_Pt5', with elements:
GSM7507315_ST_Pt5_hires_image (Images), GSM7507315_ST_Pt5_lowres_image (Images), GSM7507315_ST_Pt5 (Shapes)
▸ 'GSM7507315_ST_Pt5_downscaled_hires', with elements:
GSM7507315_ST_Pt5_hires_image (Images), GSM7507315_ST_Pt5 (Shapes)
▸ 'GSM7507315_ST_Pt5_downscaled_lowres', with elements:
GSM7507315_ST_Pt5_lowres_image (Images), GSM7507315_ST_Pt5 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("17Pib8Xjx6AnRvUX") # 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/17Pib8Xjx6AnRvUX
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 17Pib8Xjx6AnRvUX Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["17Pib8Xjx6AnRvUX0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Siglec-9 acts as an immune checkpoint molecule on macrophages in glioblastoma, restricting T cell priming and immunotherapy response [ST]→ 20 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- brain
- Condition
- glioblastoma
- Modality
- RNA
- Observations
- 1,858
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,934 × 2,000 px
- mpp
- 3.395 µm/px
- Size
- 30 MB
- Sample ID
- GSM7507315
- License
- unknown
- Published
- Jun 29, 2023
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB