Progressive Supranuclear Palsy (PSP) is a clinically heterogeneous 4-repeat (4R)-tauopathy marked by variable progression and phenotypic diversity. We examined the distribution of high-molecular-weight tau (HMW-tau) species and 4R-tau seeding capacity across 25 PSP cases and 20 brain regions. HMW-tau levels varied regionally, with the temporal and motor cortices exhibiting the highest abundance. Using size-exclusion chromatography (SEC) and 4R-tau seed amplification assays (SAAs), we identified that HMW-tau fractions exhibit the greatest seeding activity. Proteomic and spatial transcriptomic analyses of the primary motor cortex revealed dysregulated adaptive immunity and metabolic pathways in high-seeder cases. Neuropathological clustering confirmed distinct profiles associated with tau seeding activity. These findings suggest that evaluating tau seeding capacity may offer valuable insights into the heterogeneity of PSP and its underlying molecular drivers.
from sddb import Catalog
cohort = Catalog().collection("geo-gse302160")
cohort.members # the 4 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-gse302160")
coll.ordered_artifacts.to_dataframe() # the 4 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-gse302160 --dest data/Licenses: 4 NCBI GEO policy
No linked publication found — please cite the data source.