Glioblastoma cells imitate neuronal excitability in humans

Author:

Tong TORCID,Ozsvar AORCID,Eschen JT,Elbæk KJORCID,Cortnum SOS,Sindby AKR,Kristensen BWORCID,Meier KORCID,Mikic NORCID,Sørensen JCHORCID,Ting JTORCID,Capogna MORCID,Hou WHORCID,Korshøj ARORCID

Abstract

SummaryGlioblastomas (GBM) are renowned for their pronounced intratumoral heterogeneity, characterized by a diverse array of plastic cell types, which poses a significant challenge to effective targeting and treatment [1]. Recent research has documented the presence of neuronal-progenitor-like transcriptomic cell states of GBM [2, 3], notably in the leading edge of the tumor, where synaptic input from adjacent neurons drives disease proliferation [4]. However, conflicting observations regarding GBM cell excitability, ranging from non-excitable [5] to neuron-like excitability [6], add complexity to our comprehension of the pathophysiological diversity of GBM cells. Here we established a novel experimental workflow enabling comprehensive and selective investigation of the electrophysiological characteristics of cancer cells and neurons within cancer-infiltrated organotypic tissue specimens from GBM patients, using viral genetic labelling to target cellular subtypes. We observed that GBM cells exhibit distinct electrophysiological features in humans, characterized by hyperexcitability and neuron-like action potential generation. Our research provides direct evidence of excitability and a comprehensive description of the electrophysiological characteristics of GBM cells in the cancer-infiltrated cortex of humans, contributing to a deeper understanding of the cellular biology of GBM. These insights have broader implications for understanding cell-cell interactions in malignant tumors and could inform targeted therapies across diverse cancer types, offering a new lens for tackling tumor heterogeneity.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3