Collections / Region- and cell type-specific changes in gene expression in the cerebellum after classical fear conditioning [Spatial Transcriptomics]

Region- and cell type-specific changes in gene expression in the cerebellum after classical fear conditioning [Spatial Transcriptomics]

The cerebellum has recently been recognized for its role in non-motor functions, including classical fear conditioning. However, the molecular mechanisms underlying non-motor learning and memory remain largely unknown. Here, we investigate the transcriptional changes in the cerebellum associated with auditory fear conditioning. Spatial transcriptomic analysis revealed that in the deep cerebellar nuclei (DCN), an output region of the cerebellum, the expression of immediate early genes increased following fear learning and retrieval, suggesting that DCN may contribute to fear memory processing. As for the cerebellar cortex, robust and region-specific transcriptional changes were observed, with distinct expression patterns emerging across the Purkinje cell layer of vermis region. To further elucidate transcriptional changes in specific DCN cell types involved in fear processing, we performed single-nucleus RNA sequencing and identified prominent gene expression changes in Kit+ inhibitory neurons. Collectively, our findings highlight region- and cell-type-specific molecular adaptations in the cerebellum, providing insights into its contribution to non-motor learning.

Datasets3
Size~134 MB
AssayVisium
Samplemouse · cerebellum
KindComparison
Flag a data issue
PMID:42032255 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse296375")
cohort.members        # the 3 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/")
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-gse296375")
coll.ordered_artifacts.to_dataframe()   # the 3 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse296375 --dest data/

Licenses: 3 NCBI GEO policy

Open in Vitessce
Visium
Mouse cerebellum
GSM8969381
mouse cerebellum 46.8 MB 3,349 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuecerebellum
Size46.8 MB
Spots3,349
Magnificationother · 3.435 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse cerebellum
GSM8969380
mouse cerebellum 43.6 MB 3,245 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuecerebellum
Size43.6 MB
Spots3,245
Magnificationother · 3.437 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse cerebellum
GSM8969382
mouse cerebellum 43.6 MB 3,542 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuecerebellum
Size43.6 MB
Spots3,542
Magnificationother · 3.436 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1038/s42003-026-10034-0 ↗
BibTeX
@article{Ji_2026,
  title = {Region- and cell type-specific changes in gene expression in the cerebellum after classical fear conditioning},
  volume = {9},
  ISSN = {2399-3642},
  url = {http://dx.doi.org/10.1038/s42003-026-10034-0},
  DOI = {10.1038/s42003-026-10034-0},
  number = {1},
  journal = {Communications Biology},
  publisher = {Springer Science and Business Media LLC},
  author = {Ji, Jungeun and Baek, Jinhee and Hwang, Kyoung-Doo and Choi, Seunghwan and Kasuya, Junko and Roh, Seung-Eon and Kim, Sang Jeong and Abel, Ted and An, Joon-Yong and Lee, Yong-Seok},
  year = {2026},
  month = Apr
}