journal article·2018

Label-free multidimensional information acquisition from optogenetically engineered cells using a graphene transistor

Gongxin Li, Jia Yang, Wenguang Yang, Feifei Wang, Yuechao Wang, Wenxue Wang, Lianqing Liu

Nanoscale· Volume 10· Issue 5
Publisher page

Abstract

The optogenetic technique, which allows the manipulation of cellular activity patterns in space and time by light, has transformed the field of neuroscience. However, acquiring multidimensional optogenetic information remains challenging despite the fact that several cellular information detection methods have been proposed. Herein, we present a new method to acquire label-free multidimensional information from optogenetically engineered cells using a graphene transistor. Using a graphene film to form a strong densely packed layer with cells, the cellular action potentials were characterized as light-activated transistor conductance signals, which quantified the multidimensional optogenetic information. Based on this approach, some important cellular optogenetic information, including electrophysiological state, cell concentration, expression levels of opsin and response to variable light intensity, were also precisely detected. Furthermore, the graphene transistor was also used to distinguish cells expressing different channelrhodopsin-2 variants. Our study offers a general detection method of multidimensional optogenetic information for extending the applications of the optogenetic technique and provides a novel sensor for the development of future biological prosthetic devices.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Photoreceptor and optogenetics research · Neuroscience and Neural Engineering · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Robotics

Shenyang Institute of Automation Chinese Academy of Sciences

Shenyang

China

Key Laboratory of Advanced Process Control for Light Industry of the Ministry of Education

University of Chinese Academy of Science

Funding

National Natural Science Foundation of China

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