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.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse298921")
coll.ordered_artifacts.df() # the 2 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()} Cite this collection
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