Paired mutation calling and spatial transcriptomics identify cellular neighborhoods associated with neoplastic outcomes in mouse colitis
In the progression from Inflammatory Bowel Disease to associated cancer, the clonal mutational landscape shifts from selection of mutations in inflammatory genes to selection for cancer-driver mutations. How prevalence and expansion of either type of mutant clones could be impacted by the cellular environments in which they arise, and how this affects the neoplastic outcome of colitis, remains unknown. Here, we combine in vivo lineage tracing, in silico modelling, mutational profiling and spatial transcriptomics in a mouse model of colitis-associated tumorigenesis to capture clone fates associated with chronic inflammation. We identify epithelial- and immune-enriched neighbourhoods and propose a model in which establishment of a reparative tissue environment facilitates tumour initiation by promoting the selection and expansion of pro-oncogenic clones, reducing the span of inflammation-resistant neighbourhoods containing non-oncogenic clones.
from sddb import Catalog
cohort = Catalog().collection("geo-gse334067")
cohort.members # the 32 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-gse334067")
coll.ordered_artifacts.to_dataframe() # the 32 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-gse334067 --dest data/ Licenses: 32 CC BY 4.0
Cite this collection
doi.org/10.1038/s41588-026-02673-0 ↗@article{Moutin_2026,
title = {Paired mutation calling and spatial transcriptomics identify cellular neighborhoods associated with the neoplastic outcome of mouse colitis},
volume = {58},
ISSN = {1546-1718},
url = {http://dx.doi.org/10.1038/s41588-026-02673-0},
DOI = {10.1038/s41588-026-02673-0},
number = {8},
journal = {Nature Genetics},
publisher = {Springer Science and Business Media LLC},
author = {Moutin, Elisa B. and Chang, Linus L. H. and Giavara, Giada and Mehmed, Shenay and Colombé, Mathilde and Boquetale, Carla and Marks, Kate and Lourenço, Filipe C. and Skoufou-Papoutsaki, Nefeli and Kemp, Richard and Gascard, Philippe and Tlsty, Thea D. and Tourigny, David S. and Winton, Douglas J.},
year = {2026},
month = July,
pages = {1918–1927}
}