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.
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/") 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()] # sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse298921 --dest data/ Licenses: 2 NCBI GEO policy
Cite this collection
doi.org/10.3389/fdmed.2025.1612522 ↗@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
}