Collections / PREGNANCY-RESPONSIVE POOLS OF ADULT NEURAL STEM CELLS FOR TRANSIENT NEUROGENESIS IN MOTHERS

PREGNANCY-RESPONSIVE POOLS OF ADULT NEURAL STEM CELLS FOR TRANSIENT NEUROGENESIS IN MOTHERS

Adult neural stem cells (NSCs) contribute to lifelong brain plasticity. In the adult mouse ventricular-subventricular zone, NSCs are heterogeneous and, depending on their location in the niche, give rise to different subtypes of olfactory bulb (OB) interneurons. Here we show that multiple regionally-distinct NSCs, including domains that are usually quiescent, are recruited on different gestation days during pregnancy. Synchronized activation of these adult NSC pools generates transient waves of short-lived OB interneurons, especially in layers with less neurogenesis under homeostasis. Using spatial transcriptomics, we identify molecular markers of pregnancy-associated interneurons, and show that some subsets are temporarily needed for own pup recognition. Thus, pregnancy triggers transient, yet behaviorally-relevant neurogenesis, highlighting the physiological relevance of adult stem cell heterogeneity.

Datasets4
Size~129 MB
AssayVisium
Samplemouse · brain
KindComparison
Flag a data issue
PMID:37995223 ↗
Download the whole collection
Python · sddb client 
from sddb import Catalog

cohort = Catalog().collection("geo-gse224360")
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/")
Install (Python 3.12+) Docs →
Python · lamindb

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-gse224360")
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()]
Install (Python 3.12+) Docs →
Shell 
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse224360 --dest data/
Install (Python 3.12+) Docs →

Licenses: 4 NCBI GEO policy

Member datasets · 4
Open in Vitessce
Visium
Mouse brain
GSM7020545
mouse brain 27.6 MB 2,369 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size27.6 MB
Spots2,369
Magnificationother · 4.094 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7020546
mouse brain 30.3 MB 2,648 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size30.3 MB
Spots2,648
Magnificationother · 4.101 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7020544
mouse brain 30.8 MB 2,123 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size30.8 MB
Spots2,123
Magnificationother · 4.094 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7020543
mouse brain 40.0 MB 2,540 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size40.0 MB
Spots2,540
Magnificationother · 4.093 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1126/science.abo5199 ↗
BibTeX 
@article{Chaker_2023,
  title = {Pregnancy-responsive pools of adult neural stem cells for transient neurogenesis in mothers},
  volume = {382},
  ISSN = {1095-9203},
  url = {http://dx.doi.org/10.1126/science.abo5199},
  DOI = {10.1126/science.abo5199},
  number = {6673},
  journal = {Science},
  publisher = {American Association for the Advancement of Science (AAAS)},
  author = {Chaker, Zayna and Segalada, Corina and Kretz, Jonas A. and Acar, Ilhan E. and Delgado, Ana C. and Crotet, Valerie and Moor, Andreas E. and Doetsch, Fiona},
  year = {2023},
  month = Nov,
  pages = {958–963}
}