Copper (Cu) is an essential trace element required for mitochondrial respiration. We show that Cu drives coordinated metabolic remodeling of bioenergy, biosynthesis and redox homeostasis and promotes tumor growth and progression of clear cell renal cell carcinoma (ccRCC). Late-stage ccRCCs accumulate Cu and allocate it to cytochrome c oxidase stimulating bioenergy production. Cu induces TCA cycle-dependent oxidation of glucose and its utilization for biosynthesis of a glutathione pool that protects against H2O2 generated during mitochondrial respiration, therefore coordinating bioenergy production with redox protection. Single cell transcriptomics determined induction of mitochondrial electron transport chain, expression of NRF2 targets and glutathione biosynthesis, and decrease in HIF activity, the hallmark of ccRCC, during disease progression. Spatial transcriptomics identified that cancer cells with proliferative phenotype are embedded in clusters of cells with oxidative metabolism supporting effects of metabolic states on ccRCC progression. Our work establishes novel vulnerabilities with potential for therapeutic interventions in ccRCC.
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse250163")
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()}
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