Spatial Transcriptomic Activity Atlas of Spinal Sympathetic Neurons Delineates Neural Control of Lipolysis
The sympathetic nervous system coordinates the functions of diverse organs to maintain homeostasis and mounts adaptive responses to stressors. Although recent molecular and genetic studies have advanced our understanding of peripheral sympathetic neurons, the spatial and functional organization of spinal sympathetic preganglionic neurons (SPNs) during stress responses remains poorly understood. Here we establish a spatial transcriptomics (STx)-based activity atlas of mouse SPNs under distinct stress conditions. This atlas reveals the spinal segment- and sex-biased organization of SPN transcriptomic subtypes. Using immediate early gene (IEG) induction as a readout of neuronal activation, we found that different stressors, such as cold exposure and glucose deprivation, recruit different SPN transcriptomic subtypes.
from sddb import Catalog
cohort = Catalog().collection("geo-gse336196")
cohort.members # the 10 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-gse336196")
coll.ordered_artifacts.to_dataframe() # the 10 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-gse336196 --dest data/ Licenses: 10 NCBI GEO policy