Seeing the whole transcriptomics picture: Spatial gene expression analysis reveals photoreceptor stress as modulator of retinal vascular changes
Photoreceptor cell death is a hallmark feature of many retinal degenerative diseases including age-related macular degeneration. At the molecular level, oxidative stress and inflammation are known central pathogenetic drivers, but the spatial and cellular origins of the underlying molecular mechanisms remain unclear. We used spatial transcriptomics to investigate the spatio-temporal gene expression changes in the mouse retina in response to photo-oxidative damage. In both the healthy and degenerating retina, we uncover regionally distinct transcriptomes, with higher expression of immunity related genes in the superior retina. Exposure to photo-oxidative damage increased the expression of genes involved in inflammatory processes, innate immune responses, and cytokine production in a highly localised manner. This focal region seems a key driver of molecular changes, including upregulation of angiogenic pathways. Consequently, we show substantial alterations in vacular endothelial growth factor, pleiotrophin and midkine signalling between retinal layers, some of which are novel angiogenic signalling pathways within the retina.
from sddb import Catalog
cohort = Catalog().collection("geo-gse248517")
cohort.members # the 7 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-gse248517")
coll.ordered_artifacts.to_dataframe() # the 7 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-gse248517 --dest data/ Licenses: 7 NCBI GEO policy
Cite this collection
doi.org/10.1038/s42003-025-07887-2 ↗@article{Schumann_2025,
title = {Spatial transcriptomics reveals regionally altered gene expression that drives retinal degeneration},
volume = {8},
ISSN = {2399-3642},
url = {http://dx.doi.org/10.1038/s42003-025-07887-2},
DOI = {10.1038/s42003-025-07887-2},
number = {1},
journal = {Communications Biology},
publisher = {Springer Science and Business Media LLC},
author = {Schumann, Ulrike and Liu, Lixinyu and Aggio-Bruce, Riemke and Cioanca, Adrian V. and Shariev, Artur and Madigan, Michele C. and Valter, Krisztina and Wen, Jiayu and Natoli, Riccardo},
year = {2025},
month = Apr
}