The spatiotemporal dynamics of postnatal vascularization in the mouse brain
The structure of the cerebral vasculature is immature at birth and undergoes significant post-natal remodeling and expansion. However, how vascularization progresses throughout the brain to integrate volumetric growth with neuronal circuit maturation is unclear. To address this spatiotemporally, we developed LAMBADA—a resource for registering and annotating optically cleared developing mouse brains with high temporal resolution, enriched by aligned spatial transcriptomics. Using this resource, we identified three distinct, brain-wide phases of postnatal cerebral vascular development: (1) an isometric expansion phase, characterized by the expression of well-known transcriptomic signatures; (2) a regional specialization phase, which coincides with neuronal maturation and synaptogenesis; and (3) a refinement phase, marked by the stabilization of vascular networks and synapses. We delineate the molecular and structural mechanisms underlying these phases by correlating vascular remodeling with spatial transcriptomic gene expression. This atlas provides a novel foundation for studying developmental neurovascular interactions and serves as a resource for murine postnatal brain development research.
from sddb import Catalog
cohort = Catalog().collection("geo-gse313896")
cohort.members # the 46 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-gse313896")
coll.ordered_artifacts.to_dataframe() # the 46 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-gse313896 --dest data/ Licenses: 46 NCBI GEO policy
Cite this collection
doi.org/10.1016/j.cell.2026.03.013 ↗@article{de_Launoit_2026,
title = {The spatiotemporal dynamics of postnatal vascularization in the mouse brain},
volume = {189},
ISSN = {0092-8674},
url = {http://dx.doi.org/10.1016/j.cell.2026.03.013},
DOI = {10.1016/j.cell.2026.03.013},
number = {10},
journal = {Cell},
publisher = {Elsevier BV},
author = {de Launoit, Elisa and Skriabine, Sophie and Doumazane, Etienne and Bizou, Mathilde and Pommé, Rémi and Lienhard, Gabrièle and Rajot, Domitille and Mikhailenko, Alina and Vieites-Prado, Alba and Lannes, Mathilde and Fabiano, Natalia and Mathé, Louise and Cagnone, Gael and Mouton, Laura and Santin, Mathieu D. and Candelier, Séverine and Gaspar, Patricia and Rousseau, Charly V. and Dubrac, Alexandre and Renier, Nicolas},
year = {2026},
month = May,
pages = {3107–3123.e18}
}