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10x Xenium

Mouse brain

xenium-in-situ-analysis-of-alzheimers-disease-mouse-model-brain-coronal-sections-from-one-hemisphere-over-a-time-course-1-standard__ffpe-wildtype-13-4-months

silver Interactive viewer No linked publication
Mouse brain preview
print(sdata)
SpatialData object
├── Images
│     ├── 'morphology_focus': DataTree[cyx] (1, 24863, 31342), (1, 12431, 15671), (1, 6215, 7835), (1, 3107, 3917), (1, 1553, 1958)
│     └── 'morphology_mip': DataTree[cyx] (1, 24863, 31342), (1, 12431, 15671), (1, 6215, 7835), (1, 3107, 3917), (1, 1553, 1958)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (24863, 31342), (12431, 15671), (6215, 7835), (3107, 3917), (1553, 1958)
│     └── 'nucleus_labels': DataTree[yx] (24863, 31342), (12431, 15671), (6215, 7835), (3107, 3917), (1553, 1958)
├── Points
│     └── 'transcripts': DataFrame with shape: (16223926, 10) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (59935, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (59935, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (59935, 1) (2D shapes)
└── Tables
      └── 'table': AnnData (59935, 347)
with coordinate systems:
    ▸ 'global', with elements:
        morphology_focus (Images), morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("K8uQ1Ge2i9y8qDPI0000")
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("K8uQ1Ge2i9y8qDPI")   # 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 K8uQ1Ge2i9y8qDPI0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/K8uQ1Ge2i9y8qDPI

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid K8uQ1Ge2i9y8qDPI

License: CC BY 4.0

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

Metadata

Technology
10x Xenium
Organism
mouse
Tissue
brain
Modality
RNA
Observations (cells)
59,935
Transcripts
16,223,926
Tier
silver
Chemistry
Xenium v1
Size
2.4 GB
Sample ID
xenium-in-situ-analysis-of-alzheimers-disease-mouse-model-brain-coronal-sections-from-one-hemisphere-over-a-time-course-1-standard__ffpe-wildtype-13-4-months
License
CC BY 4.0
Published
Jul 13, 2023

Cite this dataset

No linked publication found — please cite the data source: 10x Genomics ↗.

Source: 10x Genomics ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB