Mouse skin of face
GSM8745172
mouse skin of face 15.6 MB 671 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueskin of face
Spots671
Magnificationother · 4.051 µm/px
bronze H&E NCBI GEO policy
Collections / Gas6-Axl signaling drives oral regenerative wound repair
Gas6-Axl signaling drives oral regenerative wound repair
Rapid and scarless wound repair is a hallmark of the oral mucosa, yet the cellular and molecular mechanisms that enable this regeneration remain unclear. By comparing populations of oral mucosal fibroblasts (OMFs) and facial skin fibroblasts (FSFs), we have identified the mechanisms that facilitate regeneration over fibrosis. We found that OMFs utilize Growth arrest specific-6 (GAS6)-AXL signaling to suppress fibrosis-related mechanosignaling via Focal adhesion kinase (FAK). Inhibition and knockdown of AXL in the oral mucosa resulted in fibrotic wounds and increased activation of FAK. At the same time, stimulation of AXL in the facial skin yielded wounds that heal regeneratively. Rare human oral scars that resulted from repetitive injury showed decreased expression of GAS6/AXL and increased FAK. Activating AXL in repetitively injured mouse oral tissue resulted in better wound healing outcomes and reduced scarring. Together, our work demonstrates that AXL signaling is necessary for regenerative wound healing in the oral mucosa and sufficient to limit facial skin fibrosis.
Datasets4
Size~51.9 MB
AssayVisium
Samplemouse · multiple
KindComparison
Download the whole collection
Python · sddb client
from sddb import Catalog
cohort = Catalog().collection("geo-gse287384")
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/") 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-gse287384")
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()] Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse287384 --dest data/Licenses: 4 NCBI GEO policy
Member datasets · 4
Mouse mucosa of oral region
GSM8745173
mouse mucosa of oral region 11.3 MB 1,288 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuemucosa of oral region
Spots1,288
Magnificationother · 3.680 µm/px
bronze H&E NCBI GEO policy
Mouse mucosa of oral region
GSM8745175
mouse mucosa of oral region 7.6 MB 430 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissuemucosa of oral region
Spots430
Magnificationother · 4.049 µm/px
bronze H&E NCBI GEO policy
Mouse skin of face
GSM8745174
mouse skin of face 17.4 MB 1,141 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismmouse
Tissueskin of face
Spots1,141
bronze H&E NCBI GEO policy
Cite this collection
doi.org/10.1126/scitranslmed.adk2101 ↗ BibTeX
@article{Griffin_2025,
title = {Growth arrest specific–6 and angiotoxin receptor–like signaling drive oral regenerative wound repair},
volume = {17},
ISSN = {1946-6242},
url = {http://dx.doi.org/10.1126/scitranslmed.adk2101},
DOI = {10.1126/scitranslmed.adk2101},
number = {805},
journal = {Science Translational Medicine},
publisher = {American Association for the Advancement of Science (AAAS)},
author = {Griffin, Michelle F. and Cook, Jessica and Morgan, Annah and Boffelli, Dario and Downer, Mauricio and Spielman, Amanda F. and Guardino, Nicholas J. and Guo, Jason L. and Parker, Jennifer B. L. and Januszyk, Michael and Valencia, Caleb and Kuhnert, Maxwell and Lu, John and Zwick, Rachel and Wan, Derrick C. and Klein, Ophir D. and Longaker, Michael T.},
year = {2025},
month = July
}