Mechano-sensitization of mammalian neuronal networks through expression of the bacterial mechanosensitive MscL channel

Author:

Soloperto Alessandro1ORCID,Boccaccio Anna2ORCID,Contestabile Andrea1,Moroni Monica3,Hallinan Grace I.4,Palazzolo Gemma1,Chad John4,Deinhardt Katrin4,Carugo Dario5,Difato Francesco1ORCID

Affiliation:

1. Neuroscience and Brain Technologies Dept., Istituto Italiano di Tecnologia, Genoa, Italy

2. Institute of Biophysics, National Research Council of Italy, Genoa, Italy

3. Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy

4. Biological Sciences and Institute for Life Sciences, University of Southampton, Southampton, UK

5. Faculty of Engineering and the Environment, University of Southampton, Southampton, UK

Abstract

Development of remote stimulation techniques for neuronal tissues represents a challenging goal. Among the potential methods, mechanical stimuli are the most promising vector to convey information non-invasively into intact brain tissue. In this context, selective mechano-sensitization of neuronal circuits would pave the way to develop a new cell-type specific stimulation approach. We report here for the first time the development and characterization of mechano-sensitized neuronal networks through the heterologous expression of an engineered bacterial large conductance mechanosensitive ion channel (MscL). The neuronal functional expression of the MscL channel was validated through patch-clamp recordings upon application of calibrated suction pressures. Moreover, we verified the effective development of in-vitro neuronal networks expressing the engineered MscL channel in terms of cell survival, number of synaptic puncta, and spontaneous network activity. The pure mechanosensitivity of the engineered MscL channel, with its wide genetic modification library, may represent a versatile tool to further develop a mechano-genetic approach.

Funder

Alzheimer's Research UK

Biotechnology and Biological Sciences Research Council

Compagnia di San Paolo

Publisher

The Company of Biologists

Subject

Cell Biology

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