Collections / Shared inflammatory glial cell signature after brain injury, revealed by spatial, temporal and cell-type-specific profiling of the murine cerebral cortex [spatial transcriptomics]

Shared inflammatory glial cell signature after brain injury, revealed by spatial, temporal and cell-type-specific profiling of the murine cerebral cortex [spatial transcriptomics]

Traumatic brain injury leads to a highly orchestrated immune- and glial cell response partially responsible for long-lasting disability and the development of secondary neurodegenerative diseases. A holistic understanding of the mechanisms controlling the responses of specific cell types and their crosstalk is required to develop an efficient strategy for better regeneration. Here, we combined spatial and single-cell transcriptomics to chart the transcriptomic signature of the injured murine cerebral cortex, and identified specific states of astrocytes, microglia, and oligodendrocyte precursor cells contributing to this signature. Interestingly, these cellular populations share a large fraction of injury-regulated genes, including inflammatory programs downstream of the innate immune-associated pathways Cxcr3 and Tlr1/2. Systemic manipulation of these pathways decreased the reactivity state of glial cells associated with poor regeneration. The functional relevance of the newly discovered shared signature of glial cells highlights the importance of our resource enabling comprehensive analysis of early events after brain injury.

Datasets2
Size~65.5 MB
AssayVisium
Samplemouse · cerebral cortex
KindTime course
Flag a data issue
PMID:38570482 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse226208")
cohort.members        # the 2 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-gse226208")
coll.ordered_artifacts.to_dataframe()   # the 2 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-gse226208 --dest data/

Licenses: 2 NCBI GEO policy

Open in Vitessce
Visium
Mouse cerebral cortex
GSM7068163
mouse cerebral cortex traumatic brain injury 31.5 MB 1,740 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuecerebral cortex
Conditiontraumatic brain injury
Size31.5 MB
Spots1,740
Magnificationother · 3.346 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse cerebral cortex
GSM7068162
mouse cerebral cortex 34.0 MB 1,991 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuecerebral cortex
Size34.0 MB
Spots1,991
Magnificationother · 3.343 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1038/s41467-024-46625-w ↗
BibTeX
@article{Koupourtidou_2024,
  title = {Shared inflammatory glial cell signature after stab wound injury, revealed by spatial, temporal, and cell-type-specific profiling of the murine cerebral cortex},
  volume = {15},
  ISSN = {2041-1723},
  url = {http://dx.doi.org/10.1038/s41467-024-46625-w},
  DOI = {10.1038/s41467-024-46625-w},
  number = {1},
  journal = {Nature Communications},
  publisher = {Springer Science and Business Media LLC},
  author = {Koupourtidou, Christina and Schwarz, Veronika and Aliee, Hananeh and Frerich, Simon and Fischer-Sternjak, Judith and Bocchi, Riccardo and Simon-Ebert, Tatiana and Bai, Xianshu and Sirko, Swetlana and Kirchhoff, Frank and Dichgans, Martin and Götz, Magdalena and Theis, Fabian J. and Ninkovic, Jovica},
  year = {2024},
  month = Apr
}