Spatial mapping of transcriptomic and lineage plasticity in metastatic pancreatic cancer
Patients with treatment-refractory pancreatic cancer often succumb to widespread systemic metastases; however, the transcriptomic heterogeneity that underlies recalcitrance to therapy remains understudied, particularly in the spatial context. We constructed high-resolution spatial maps of transcriptional heterogeneity, clonal architecture and lineage plasticity using spatially resolved transcriptomics from 55 individual samples of primary tumour, liver, lung, and peritoneal metastases, collected from 13 patients via a rapid ("warm") autopsy program. Additionally, we validated the lineage composition and spatial distribution using patient-derived xenograft (PDX) models generated from the primary tumours of two patients.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse274557")
coll.ordered_artifacts.df() # the 57 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()} Cite this collection
No linked publication found — please cite the data source.