Visium
Human synovial membrane of synovial joint
GSM7372755
bronze Interactive viewer H&E rheumatoid arthritis Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7372755_RA_A1_hires_image': DataArray[cyx] (3, 1244, 1125)
│ └── 'GSM7372755_RA_A1_lowres_image': DataArray[cyx] (3, 600, 543)
├── Shapes
│ └── 'GSM7372755_RA_A1': GeoDataFrame shape: (1878, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1878, 36601)
with coordinate systems:
▸ 'GSM7372755_RA_A1', with elements:
GSM7372755_RA_A1_hires_image (Images), GSM7372755_RA_A1_lowres_image (Images), GSM7372755_RA_A1 (Shapes)
▸ 'GSM7372755_RA_A1_downscaled_hires', with elements:
GSM7372755_RA_A1_hires_image (Images), GSM7372755_RA_A1 (Shapes)
▸ 'GSM7372755_RA_A1_downscaled_lowres', with elements:
GSM7372755_RA_A1_lowres_image (Images), GSM7372755_RA_A1 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("3vwrOIVzdEeHTCGO0000")
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("3vwrOIVzdEeHTCGO") # 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 3vwrOIVzdEeHTCGO0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/3vwrOIVzdEeHTCGO
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3vwrOIVzdEeHTCGOLicense: NCBI GEO policy
Part of collection
Synovial Th17 transdifferentiation into exTh17 sustains chronic IL-17-independent inflammatory arthritis [Visium]→ 2 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- synovial membrane of synovial joint
- Condition
- rheumatoid arthritis
- Modality
- RNA
- Observations (spots)
- 1,878
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,125 × 1,244 px
- mpp
- 5.968 µm/px
- Size
- 12.0 MB
- Sample ID
- GSM7372755
- License
- NCBI GEO policy
- Published
- Mar 25, 2026
Cite this dataset
doi.org/10.1126/sciimmunol.adm7800 ↗ BibTeX
@article{Zoccheddu_2025,
title = {T
<sub>H</sub>
17 cells converted into exT
<sub>H</sub>
17 cells sustain rheumatoid-like IL-17–independent inflammatory arthritis},
volume = {10},
ISSN = {2470-9468},
url = {http://dx.doi.org/10.1126/sciimmunol.adm7800},
DOI = {10.1126/sciimmunol.adm7800},
number = {113},
journal = {Science Immunology},
publisher = {American Association for the Advancement of Science (AAAS)},
author = {Zoccheddu, Martina and Suga, Kensuke and Seng, Amara and Svensson, Mattias N. D. and Dutta, Paramita and Panahandeh, Sanaz and Makinde, Hadijat-Kubura Moradeke and Ro, Myungja and Wang, Yizhou and Kim, Hyobin and Mikulski, Zbigniew and Dobaczewska, Katarzyna and Ingegnoli, Francesca and Minsha, Ruth and Seagrist, John F. and Carns, Mary and Aren, Kathleen and Dominguez, Salina and Khan, Mohammad Daud and Denn, Angela and Caporali, Roberto and Randelli, Pietro Simone and McBride, David A. and Mandelin, Arthur M. and Cuda, Carla Marie and Wang, Zhiping Paul and Moore, Jason H. and Shah, Nisarg J. and Won, Kyoung Jae and Winter, Deborah R. and Ay, Ferhat and Perlman, Harris and Bottini, Nunzio},
year = {2025},
month = Nov
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB