Collections / Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [Xenium]

Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing [Xenium]

Skin injuries heal slowly, compared to oral epithelial tissues, and often do not regenerate lost adnexa. Using a murine mouse model expressing the oral epithelial transcription factor PITX1 in the skin, we performed Xenium in situ analysis in healthy and wounded skin and healthy oral mucosa to delineate the cellular and molecular changes underpinning the superior oral wounding response.

Datasets4
Size~2.2 GB
Assay10x Xenium
Samplemouse · multiple
KindComparison
PMID:39480496 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse280069")
coll.ordered_artifacts.df()                 # the 4 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}
Open in Vitessce
10x Xenium
Mouse skin of back
GSM8586920
mouse skin of back 399 MB 91,345 obs bronze
Technology10x Xenium
Organismmouse
Tissueskin of back
Size399 MB
Obs91,345
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Mouse skin of back
GSM8586921
mouse skin of back 642 MB 182,402 obs bronze
Technology10x Xenium
Organismmouse
Tissueskin of back
Size642 MB
Obs182,402
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Mouse skin of back
GSM8586923
mouse skin of back 671 MB 174,241 obs bronze
Technology10x Xenium
Organismmouse
Tissueskin of back
Size671 MB
Obs174,241
bronze Open in Vitessce
Open in Vitessce
10x Xenium
Mouse buccal mucosa
GSM8586922
mouse buccal mucosa 522 MB 67,803 obs bronze
Technology10x Xenium
Organismmouse
Tissuebuccal mucosa
Size522 MB
Obs67,803
bronze Open in Vitessce

Cite this collection

No linked publication found — please cite the data source.