10x Xenium
Human zone of skin
GSM9357157
silver Interactive viewer systemic sclerosis ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (4, 20467, 28463), (4, 10233, 14231), (4, 5116, 7115), (4, 2558, 3557), (4, 1279, 1778)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20467, 28463), (10233, 14231), (5116, 7115), (2558, 3557), (1279, 1778)
│ └── 'nucleus_labels': DataTree[yx] (20467, 28463), (10233, 14231), (5116, 7115), (2558, 3557), (1279, 1778)
├── Points
│ └── 'transcripts': DataFrame with shape: (5886110, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (14700, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (14700, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (14643, 2) (2D shapes)
└── Tables
└── 'table': AnnData (14700, 5101)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("AIqzQITSPgYIqpjJ") # 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/AIqzQITSPgYIqpjJ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid AIqzQITSPgYIqpjJ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["AIqzQITSPgYIqpjJ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling→ 10 datasets · other
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- zone of skin
- Condition
- systemic sclerosis
- Modality
- RNA
- Observations
- 14,700
- Transcripts
- 5,886,110
- Tier
- silver
- Chemistry
- Xenium Prime
- Size
- 1.7 GB
- Sample ID
- GSM9357157
- License
- NCBI GEO policy
- Published
- Dec 12, 2025
Cite this dataset
doi.org/10.1172/jci.insight.198954 ↗ BibTeX
@article{Jarnagin_2025,
title = {Multimodal analyses of early, untreated systemic sclerosis skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling},
volume = {11},
ISSN = {2379-3708},
url = {http://dx.doi.org/10.1172/jci.insight.198954},
DOI = {10.1172/jci.insight.198954},
number = {3},
journal = {JCI Insight},
publisher = {American Society for Clinical Investigation},
author = {Jarnagin, Helen C. and Parvizi, Rezvan and Gong, Zhiyun and Gedert, Rosemary and Xing, Xianying and Tsoi, Lam (Alex) C. and Bogle, Rachael and Morrisson, Madeline J. and Perreard, Laurent and Pioli, Patricia A. and Kolling, Fred and Gudjonsson, Johann E. and Khanna, Dinesh and Whitfield, Michael L.},
year = {2025},
month = Dec
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB