We investigated the cell-type composition of muscle domains that associate with muscle degeneration severity in two mouse models of human DMD, namely the B6.mdx and D2.mdx. We first combined immunofluorescence-based histological analysis and spatial transcriptomics to highlight specific muscle tissue clusters that display dystrophic features with necrotic fibers, inflammatory cell infiltration and increased fibrosis. Using single-cell RNA-sequencing reference and spatial deconvolution, we profiled cell types and states within each dystrophic domain, thereby identifying the enrichment for specific cell subpopulations in these spatial clusters.
from sddb import Catalog
cohort = Catalog().collection("geo-gse297388")
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/")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-gse297388")
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()]# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse297388 --dest data/Licenses: 4 NCBI GEO policy
@article{Guillemaud_2026,
title = {Stimulation of EGFR signaling in fibro-adipogenic precursors decreases adipogenesis in Duchenne muscular dystrophy},
volume = {16},
ISSN = {2044-5040},
url = {http://dx.doi.org/10.1186/s13395-026-00429-2},
DOI = {10.1186/s13395-026-00429-2},
number = {1},
journal = {Skeletal Muscle},
publisher = {Springer Science and Business Media LLC},
author = {Guillemaud, Jules and Panci, Georgiana and Fessard, Aurélie and Delivry, Léa and Jarassier, William and Mounier, Rémi and Gondin, Julien and Gobert, Stéphanie and Chazaud, Bénédicte},
year = {2026},
month = May
}