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spatial ATAC-RNA-seq

Mouse brain

GSM9249005

silver Interactive viewer H&E ✓ Verified publication
spatial ATAC-RNA-seq
print(sdata)
SpatialData object
├── Images
│     └── 'tissue_hires': DataArray[cyx] (3, 2223, 2224)
├── Shapes
│     ├── 'epi_spots': GeoDataFrame shape: (48400, 1) (2D shapes)
│     └── 'epi_spots_for_vitessce': GeoDataFrame shape: (48330, 2) (2D shapes)
└── Tables
      ├── 'epigenome_atac': AnnData (48330, 545114)
      └── 'table': AnnData (34448, 31889)
with coordinate systems:
    ▸ 'global', with elements:
        tissue_hires (Images), epi_spots (Shapes), epi_spots_for_vitessce (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("AyJHxmZnuDeHiIF30000")
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("AyJHxmZnuDeHiIF3")   # 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 AyJHxmZnuDeHiIF30000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/AyJHxmZnuDeHiIF3

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid AyJHxmZnuDeHiIF3

License: NCBI GEO policy

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue
Part of collection
geo-gse308599→
28 datasets · publication

Metadata

Technology
spatial ATAC-RNA-seq
Organism
mouse
Tissue
brain
Modality
RNA · Epigenomics
Observations (pixels)
34,448
Tier
silver
Resolution
2,224 × 2,223 px
Size
852 MB
Sample ID
GSM9249005
License
NCBI GEO policy
Published
Sep 19, 2025

Cite this dataset

doi.org/10.1038/s41586-025-09663-y ↗
BibTeX
@article{geo:GSE308599,
  doi = {10.1038/s41586-025-09663-y},
  title = {GSM9248996},
  year = {2025}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB