Collections / Salivary gland transcriptomic analysis in the IL-14α transgenic mouse model of Sjögren’s disease using Visium V1 3' spatial gene expression assay

Salivary gland transcriptomic analysis in the IL-14α transgenic mouse model of Sjögren’s disease using Visium V1 3' spatial gene expression assay

Sjögren’s disease (SjD) is a systemic autoimmune disorder primarily affecting the exocrine glands and characterized by dry mouth and dry eye, the presence of anti-SSA and/or anti-SSB autoantibodies in blood serum, and chronic lymphocytic infiltration of salivary and lacrimal glands (i.e., sialadenitis and dacryoadenitis, respectively). The interleukin-14α transgenic (IL-14αTG) mouse model of SjD recapitulates many aspects of human SjD, including progressive sialadenitis, loss of salivary gland function, and development of B cell lymphoma. We performed Visium V1 3' spatial transcriptomic analysis of fresh frozen submandibular and sublingual glands from a 12-month-old IL-14αTG Sjögren’s-like mouse and age-matched C57BL/6 control mouse.

Datasets2
Size~49.6 MB
AssayVisium
Samplemouse · submandibular gland
KindComparison
Flag a data issue
PMID:40697343 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse298921")
cohort.members        # the 2 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
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")
coll = db.Collection.get(key="geo-gse298921")
coll.ordered_artifacts.to_dataframe()   # the 2 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse298921 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Visium
Mouse submandibular gland
GSM9026037
mouse submandibular gland 24.8 MB 1,849 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuesubmandibular gland
Size24.8 MB
Spots1,849
Magnificationother · 3.449 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse submandibular gland
GSM9026038
mouse submandibular gland Sjogren syndrome 24.8 MB 2,182 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuesubmandibular gland
ConditionSjogren syndrome
Size24.8 MB
Spots2,182
Magnificationother · 3.531 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.3389/fdmed.2025.1612522 ↗
BibTeX
@article{Woods_2025,
  title = {Salivary gland transcriptomic analysis and immunophenotyping in the IL-14α transgenic mouse model of Sjögren’s disease},
  volume = {6},
  ISSN = {2673-4915},
  url = {http://dx.doi.org/10.3389/fdmed.2025.1612522},
  DOI = {10.3389/fdmed.2025.1612522},
  journal = {Frontiers in Dental Medicine},
  publisher = {Frontiers Media SA},
  author = {Woods, Lucas T. and Jasmer, Kimberly J. and Muñoz Forti, Kevin and Kearns, Alex and Weisman, Gary A.},
  year = {2025},
  month = July
}