Collections / Spatial transcriptomics reveals modulation of transcriptional networks across brain regions after auditory threat conditioning

Spatial transcriptomics reveals modulation of transcriptional networks across brain regions after auditory threat conditioning

Prior research has demonstrated genome-wide transcriptional changes related to fear and anxiety across species, often focusing on individual brain regions or cell types. However, the extent of gene expression differences across brain regions and how these changes interact at the level of transcriptional connectivity remains unclear. To address this, we performed spatial transcriptomics RNAseq analyses in an auditory threat conditioning paradigm in mice. We generated a spatial transcriptomic atlas of a coronal mouse brain section covering cortical and subcortical regions, corresponding to histologically defined regions. Our finding revealed widespread transcriptional responses across all brain regions examined, particularly in the medial and lateral habenula, and the choroid plexus. Network analyses highlighted altered transcriptional connectivity between cortical and subcortical regions, emphasizing the role of steroidogenic factor 1. These results provide new insights into the transcriptional networks involved in auditory threat conditioning, enhancing our understanding of molecular and neural mechanisms underlying fear and anxiety disorders.

Datasets15
Size~877 MB
AssayVisium
Samplemouse · brain
KindComparison
Flag a data issue
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE243140 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse243140")
cohort.members        # the 15 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-gse243140")
coll.ordered_artifacts.to_dataframe()   # the 15 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-gse243140 --dest data/

Licenses: 15 NCBI GEO policy

Open in Vitessce
Visium
Mouse brain
GSM7779849
mouse brain 61.3 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size61.3 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779859
mouse brain 53.4 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size53.4 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779857
mouse brain 58.3 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size58.3 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779851
mouse brain 55.3 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size55.3 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Visium
Mouse brain
GSM7779850
mouse brain 59.4 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size59.4 MB
Spots4,992
silver H&E NCBI GEO policy
Open in Vitessce
Visium
Mouse brain
GSM7779855
mouse brain 55.7 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size55.7 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779862
mouse brain 57.0 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size57.0 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Visium
Mouse brain
GSM7779847
mouse brain 60.5 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size60.5 MB
Spots4,992
silver H&E NCBI GEO policy
Open in Vitessce
Visium
Mouse brain
GSM7779848
mouse brain 61.9 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size61.9 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779854
mouse brain 68.4 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size68.4 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779860
mouse brain 48.8 MB 4,992 spots silver NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size48.8 MB
Spots4,992
silver NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779861
mouse brain 60.0 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size60.0 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779852
mouse brain 63.8 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size63.8 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779853
mouse brain 64.8 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size64.8 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse brain
GSM7779858
mouse brain 48.9 MB 4,992 spots silver H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuebrain
Size48.9 MB
Spots4,992
silver H&E NCBI GEO policy Open in Vitessce

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