电生理学
胶质瘤
神经科学
电池类型
细胞
转录组
人脑
生物
基因
癌症研究
遗传学
基因表达
作者
Rachel Naomi Curry,Qianqian Ma,Malcolm F. McDonald,Yeunjung Ko,Snigdha Srivastava,Pey-Shyuan Chin,Peihao He,Brittney Lozzi,Prazwal Athukuri,Junzhan Jing,Su Wang,Arif Harmanci,Benjamin R. Arenkiel,Xiaolong Jiang,Benjamin Deneen,Ganesh Rao,Akdes Serin Harmancı
标识
DOI:10.1101/2024.03.02.583026
摘要
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 mut ) 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.
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