Collections / DNA methylation memory of acinar-ductal transition state altering Kras-downstream Pi3k and Rho GTPase signaling [spatial transcriptomics]

DNA methylation memory of acinar-ductal transition state altering Kras-downstream Pi3k and Rho GTPase signaling [spatial transcriptomics]

A critical area of recent cancer research is the emergence of transition states between normal and cancer that exhibit increased cell plasticity which underlies tumor cell heterogeneity. Pancreatic ductal adenocarcinoma (PDAC) arises from a transition state termed acinar-to-ductal metaplasia (ADM), in which digestive enzyme-producing acinar cells acquire a transient ductal epithelium-like phenotype while maintaining their geographical acinar organization. ADM is created by overexpression of the Kruppel-like factor 4 gene (KLF4) in the absence of oncogenic driver mutations. Here, we investigate the DNA methylation landscape and corresponding transcriptional landscape of the mutation-free ADM transition state and the subsequent reversion to a normal acinar phenotype. We ask to what extent cells retain a memory of the ADM transition state via DNA methylation, examine potential regulators of altered DNA methylation during ADM, and investigate the relationship of the ADM transition state to human pancreatic cancer precursor lesions. These findings may inform the mechanisms not only of heritable epigenetic memory of transition states and inflammation, but also of how epigenetic alterations presage or even elicit genetic mutations in cancer.

Datasets20
Size~316 MB
AssayVisium
Samplemouse · pancreas
KindTime course
Flag a data issue
PMID:40156071 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse249121")
cohort.members        # the 20 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-gse249121")
coll.ordered_artifacts.to_dataframe()   # the 20 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-gse249121 --dest data/

Licenses: 20 NCBI GEO policy

Open in Vitessce
Visium
Mouse pancreas
GSM7926981
mouse pancreas 22.0 MB 1,030 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size22.0 MB
Spots1,030
Magnificationother · 3.545 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926971
mouse pancreas 8.0 MB 2,386 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size8.0 MB
Spots2,386
Magnificationother · 3.466 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926988
mouse pancreas 9.0 MB 1,455 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size9.0 MB
Spots1,455
Magnificationother · 3.476 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926970
mouse pancreas 12.3 MB 2,764 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size12.3 MB
Spots2,764
Magnificationother · 3.487 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926979
mouse pancreas 10.7 MB 3,533 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size10.7 MB
Spots3,533
Magnificationother · 3.478 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926989
mouse pancreas 17.9 MB 2,053 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size17.9 MB
Spots2,053
Magnificationother · 3.444 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926983
mouse pancreas 15.0 MB 1,563 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size15.0 MB
Spots1,563
Magnificationother · 3.454 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926982
mouse pancreas 14.3 MB 1,697 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size14.3 MB
Spots1,697
Magnificationother · 3.463 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926975
mouse pancreas 15.6 MB 3,112 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size15.6 MB
Spots3,112
Magnificationother · 3.462 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926985
mouse pancreas 19.0 MB 2,139 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size19.0 MB
Spots2,139
Magnificationother · 3.459 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926984
mouse pancreas 15.6 MB 2,105 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size15.6 MB
Spots2,105
Magnificationother · 3.488 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926972
mouse pancreas 22.6 MB 3,102 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size22.6 MB
Spots3,102
Magnificationother · 3.394 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926978
mouse pancreas 19.2 MB 3,757 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size19.2 MB
Spots3,757
Magnificationother · 3.464 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926976
mouse pancreas 9.6 MB 2,979 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size9.6 MB
Spots2,979
Magnificationother · 3.452 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926973
mouse pancreas 29.7 MB 4,124 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size29.7 MB
Spots4,124
Magnificationother · 3.479 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926987
mouse pancreas 11.2 MB 788 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size11.2 MB
Spots788
Magnificationother · 3.557 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926977
mouse pancreas 8.9 MB 2,784 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size8.9 MB
Spots2,784
Magnificationother · 3.463 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926980
mouse pancreas 33.8 MB 1,849 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size33.8 MB
Spots1,849
Magnificationother · 3.493 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926986
mouse pancreas 10.7 MB 1,400 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size10.7 MB
Spots1,400
Magnificationother · 3.528 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Mouse pancreas
GSM7926974
mouse pancreas 11.1 MB 3,079 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuepancreas
Size11.1 MB
Spots3,079
Magnificationother · 3.484 µm/px
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1186/s13073-025-01452-6 ↗
BibTeX
@article{Lo_2025,
  title = {DNA methylation memory of pancreatic acinar-ductal metaplasia transition state altering Kras-downstream PI3K and Rho GTPase signaling in the absence of Kras mutation},
  volume = {17},
  ISSN = {1756-994X},
  url = {http://dx.doi.org/10.1186/s13073-025-01452-6},
  DOI = {10.1186/s13073-025-01452-6},
  number = {1},
  journal = {Genome Medicine},
  publisher = {Springer Science and Business Media LLC},
  author = {Lo, Emily K.W. and Idrizi, Adrian and Tryggvadottir, Rakel and Zhou, Weiqiang and Hou, Wenpin and Ji, Hongkai and Cahan, Patrick and Feinberg, Andrew P.},
  year = {2025},
  month = Mar
}