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Integrated electrophysiological and genomic profiles of single cells reveal spiking tumor cells in human glioma.

Authors :
Curry RN
Ma Q
McDonald MF
Ko Y
Srivastava S
Chin PS
He P
Lozzi B
Athukuri P
Jing J
Wang S
Harmanci AO
Arenkiel B
Jiang X
Deneen B
Rao G
Harmanci AS
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 10. Date of Electronic Publication: 2024 May 10.
Publication Year :
2024

Abstract

Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in IDH mutant (IDH <superscript>mut</superscript> ) tumors demonstrate properties of both neurons and glia by firing single, short action potentials. To define these hybrid cells (HCs) and discern if they are tumor in origin, we developed a computational tool, Single Cell Rule Association Mining (SCRAM), to annotate each cell individually. SCRAM revealed that HCs represent tumor and non-tumor cells that feature GABAergic neuron and oligodendrocyte precursor cell signatures. These studies are the first to characterize the combined electrophysiological and molecular properties of human glioma cells and describe a new cell type in human glioma with unique electrophysiological and transcriptomic properties that are likely also present in the non-tumor mammalian brain.

Details

Language :
English
ISSN :
2692-8205
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Accession number :
38496434
Full Text :
https://doi.org/10.1101/2024.03.02.583026