Previous studies have highlighted the capacity of brain cancer cells to functionally interact with the tumor microenvironment (TME). This TME-cancer crosstalk crucially contributes to tumor cell invasion and disease progression. In this study, we performed spatial transcriptomic sequencing analysis of a complete annotated DIPG tumor-infiltrated patient brainstem. We identified four distinct tumor subpopulations and assessed respective ligand-receptor pairs that actively promote DIPG tumor progression via crosstalk with endothelial, neuronal and immune cell communities. These interactions might promote DIPG tumor progression and represent novel therapeutic targets.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse280990")
coll.ordered_artifacts.df() # the 10 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()}
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