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A bio-syncretic phototransistor based on optogenetically engineered living cells
Yang J(杨佳)1,2,3; Li GX(李恭新)1,4; Wang WX(王文学)1,2; Shi JL(施佳林)1,2; Li M(李萌)1,5; Zhang, Mingjun7; Liu LQ(刘连庆)1,2
Source PublicationBiosensors and Bioelectronics
Indexed BySCI ; EI
EI Accession number20210609893771
WOS IDWOS:000621206800004
Contribution Rank1
Funding OrganizationNational Key R&D Program of China (Grant No. 2018YFB1304700), the National Natural Science Foundation of China (Grant Nos. 61925307, 91748212, U1908215, U1613220, 91848201, 61673372, 61821005, 61927805, 61903359) ; Instru-ment Developing Project of the Chinese Academy of Sciences (Grant No. YJKYYQ20180027) ; Key Research Program of Frontier Sciences, CAS (Grant No. QYZDB-SSW-JSC008) ; Tsinghua University Initiative Scientific Research Program (Grant No. 20197010009)
KeywordBio-syncretic sensing Phototransistor Optogenetics Channelrhodopsin-2 Graphene Visual percepti

Human eyes rely on photosensitive receptors to convert light intensity into action potentials for visual perception, and thus bio-inspired photodetectors with bioengineered photoresponsive elements for visual prostheses have received considerable attention by virtue of superior biological functionality and better biocompatibility. However, the current bioengieered photodetectors based on biological elements face a lot of challenges such as slow response time and lack of effective detection of weak bioelectrical signals, resulting in difficulty to perform imaging. Here, we report a human eye-inspired phototransistor by integrating optogenetically engineered living cells and a graphene-based transistor. The living cells, engineered with photosensitive ion channels, channelrhodopsin-2 (ChR2), and thus endowed with the capability of transducing light intensity into bioelectrical signals, are coupled with the graphene layer of the transistor and can regulate the transistor's output. The results show that the photosensitive ion channels enable the phototransistor to output stronger photoelectrical currents with relatively fast response (~25 ms) and wider dynamic range, and demonstrate the transistor owns optical and biological gating with a significant large on/off ratio of 197.5 and high responsivity of 1.37 mA W-1. An artificial imaging system, which mimics the pathway of human visual information transmission from the retina through the lateral geniculate nucleus to the visual cortex, is constructed with the transistor and demonstrate the feasibility of imaging using the bioengineered cells. This work shows a potential that optogenetically engineered cells can be used to develop novel visual prostheses and paves a new avenue for engineering bio-syncretic sensing devices.

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Document Type期刊论文
Corresponding AuthorWang WX(王文学); Zhang, Mingjun; Liu LQ(刘连庆)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi 214122, China
5.Department of Electronic Information Science and Technology, School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110016, China
6.Emerging Technologies Institute, Department of Industrial & Manufacturing Systems Engineering, University of Hong Kong, Pokfulam, Hong Kong
7.Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
Recommended Citation
GB/T 7714
Yang J,Li GX,Wang WX,et al. A bio-syncretic phototransistor based on optogenetically engineered living cells[J]. Biosensors and Bioelectronics,2021,178:1-9.
APA Yang J.,Li GX.,Wang WX.,Shi JL.,Li M.,...&Liu LQ.(2021).A bio-syncretic phototransistor based on optogenetically engineered living cells.Biosensors and Bioelectronics,178,1-9.
MLA Yang J,et al."A bio-syncretic phototransistor based on optogenetically engineered living cells".Biosensors and Bioelectronics 178(2021):1-9.
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