Single-cell multiomic approaches define a gradual, spatially-regulated epigenetic and transcriptional transition from embryonic to adult neural stem cells [Xenium]
Here, we ask how adult neural stem cells (NSCs) arise developmentally, focusing on murine cortical precursors that generate excitatory neurons embryonically and interneurons and glial cells postnatally. Using complementary single-cell spatial, transcriptomic, and epigenomic approaches, we show that postnatal NSC state acquisition involves a gradual transcriptional and epigenetic shift in the entire embryonic cortical precursor cell population and identify a distinct transition precursor state at E17/18 when both embryonic and the first postnatal progeny are being generated. Non-proliferative adult NSCs are also first seen at this transition timepoint, but they arise in a spatial domain distinct from that of the first postnatal progeny, indicating that NSC state acquisition is not a necessary prelude to the switch in cell genesis. These findings support a gradual epigenetically-continuous model for the transition from developing cortical precursors to NSCs and show that this is spatially separable from the transition to generating postnatal cell types.
from sddb import Catalog
cohort = Catalog().collection("geo-gse318202")
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-gse318202")
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-gse318202 --dest data/ Licenses: 10 NCBI GEO policy
Cite this collection
doi.org/10.1016/j.stemcr.2026.102967 ↗@article{Wang_2026,
title = {Single-cell multiomic approaches define a gradual, spatially regulated epigenetic and transcriptional transition from embryonic to adult neural stem cells},
volume = {21},
ISSN = {2213-6711},
url = {http://dx.doi.org/10.1016/j.stemcr.2026.102967},
DOI = {10.1016/j.stemcr.2026.102967},
number = {7},
journal = {Stem Cell Reports},
publisher = {Elsevier BV},
author = {Wang, Beatrix S. and Karamboulas, Konstantina and Tahmasian, Nareh and Dennis, Daniel J. and Kaplan, David R. and Miller, Freda D.},
year = {2026},
month = July,
pages = {102967}
}