Integrated Electrophysiological and Genomic Profiles of Single Cells Reveal Spiking Tumor Cells in Human Glioma

Overview

Journal Cancer Cell

Publisher Cell Press

Specialty Oncology

Date 2024 Sep 6

PMID 39241781

Authors

Rachel N Curry

Qianqian Ma

Malcolm F McDonald

Yeunjung Ko

Snigdha Srivastava

Pey-Shyuan Chin

Peihao He

Brittney Lozzi

Prazwal Athukuri

Junzhan Jing

Su Wang

Arif O Harmanci

Benjamin Arenkiel

Xiaolong Jiang

Benjamin Deneen

Ganesh Rao

Akdes Serin Harmanci

Affiliations

Soon will be listed here.

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 (IDH) 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 studies characterize the combined electrophysiological and molecular properties of human glioma cells and describe a cell type in human glioma with unique electrophysiological and transcriptomic properties that may also exist in the non-tumor brain.

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