Integrated electrophysiological and genomic profiles of single cells reveal spiking tumor cells in human glioma.
Ontology highlight
ABSTRACT: Prior studies have described the complex interplay that exists between glioma cells and neurons; however, the electrophysiological properties endogenous to glioma cells remain obscure. To address this, we employed Patch-sequencing (Patch-seq) on human glioma specimens and found that one-third of patched cells in IDH mutant (IDHmut) tumors demonstrate properties of both neurons and glia. To define these hybrid cells (HCs), which fire single, short action potentials, and discern if they are of tumoral origin, we developed the single cell rule association mining (SCRAM) computational tool to annotate each cell individually. SCRAM revealed that HCs possess select features of GABAergic neurons and oligodendrocyte precursor cells, and include both tumor and non-tumor cells. These stud
SUBMITTER: Curry RN
PROVIDER: S-EPMC11479845 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA