Single cell approached deine forebrain neural stem cell niches and identify microglial ligands that enhance precursor-mediated remyelination (Xenium)
Here we used single cell RNA-sequencing and single cell spatial transcriptomics to characterize the forebrain neural stem cell (NSC) niche under homeostatic and injury conditions. We define the dorsal and lateral ventricular-subventricular zones (V-SVZ) as two distinct neighborhoods, and show that following white matter injury, dorsal NSCs are locally activated to make oligodendrocytes for remyelination. This activation is coincident with a robust increase in transcriptionally-distinct microglia in the dorsal V-SVZ niche. We modeled ligand-receptor interactions within this changing niche and identified two remyelination-associated microglial ligands, IGF1 and OSM, that promote precursor proliferation and oligodendrogenesis in culture. Infusion of either ligand into the lateral ventricles also enhanced oligodendrogenesis, even in the lateral V-SVZ, where NSCs normally make neuroblasts. These data support a model where gliogenesis versus neurogenesis is determined by the local NSC neighborhood and where injury-induced niche alterations promote NSC activation, local oligodendrogenesis, and likely contribute to myelin repair.
from sddb import Catalog
cohort = Catalog().collection("geo-gse266689")
cohort.members # the 19 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-gse266689")
coll.ordered_artifacts.to_dataframe() # the 19 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-gse266689 --dest data/ Licenses: 19 NCBI GEO policy
Cite this collection
doi.org/10.1016/j.celrep.2024.115194 ↗@article{Willis_2025,
title = {Single cell approaches define neural stem cell niches and identify microglial ligands that can enhance precursor-mediated oligodendrogenesis},
volume = {44},
ISSN = {2211-1247},
url = {http://dx.doi.org/10.1016/j.celrep.2024.115194},
DOI = {10.1016/j.celrep.2024.115194},
number = {1},
journal = {Cell Reports},
publisher = {Elsevier BV},
author = {Willis, Ashleigh and Jeong, Danielle and Liu, Yunlong and Lithopoulos, Marissa A. and Yuzwa, Scott A. and Frankland, Paul W. and Kaplan, David R. and Miller, Freda D.},
year = {2025},
month = Jan,
pages = {115194}
}