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Peng H, Kopic I, Potfode SR, Teshima TF, Boustani GA, Hiendlmeier L, Wang C, Hussain MZ, Özkale B, Fischer RA, Wolfrum B. Laser-patterned epoxy-based 3D microelectrode arrays for extracellular recording. NANOSCALE 2024. [PMID: 39011647 DOI: 10.1039/d4nr01727g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Microelectrode arrays are commonly used to study the electrophysiological behavior of cells. Recently, there has been a growing interest in fabricating three-dimensional microelectrode arrays. Here, we present a novel process for the fast fabrication of epoxy-based 3D microelectrode array platforms with the assistance of laser-patterning technology. To this end, we photopatterned 3D pillars as scaffolds using epoxy-based dry films. Electrodes and conductor traces were fabricated by laser patterning of sputtered platinum films on top of the 3D structures, followed by deposition of parylene-C for insulation. Microelectrodes at the tip of the 3D structures were exposed using a vertical laser ablation process. The final electrodes demonstrated a low impedance of ∼10 kΩ at 1 kHz in electrochemical impedance spectroscopy measurements under physiological conditions. We investigated the maximum compression force of the 3D structures, which could withstand approximately 0.6 N per pillar. The 3D microelectrode arrays were used to record extracellular signals from HL-1 cells in culture as a proof of principle. Our results show regular firing of action potentials recorded at the tip of the 3D structures, demonstrating the possibility of recording cell signals in non-planar environments.
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Affiliation(s)
- Hu Peng
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
| | - Inola Kopic
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
| | - Shivani Ratnakar Potfode
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
| | - Tetsuhiko F Teshima
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
- Medical & Health Informatics Laboratories NTT Research Incorporated, 940 Stewart Dr, Sunnyvale, CA 94085, USA
| | - George Al Boustani
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
| | - Lukas Hiendlmeier
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
| | - Chen Wang
- Microrobotic Bioengineering Lab (MRBL), Department of Electrical Engineering, TUM School of Computation, Information, and Technology, Technical University of Munich, Hans-Piloty-Str. 1, Garching 85748, Germany
| | - Mian Zahid Hussain
- Chair of Inorganic and Metal-Organic Chemistry, School of Natural Sciences and Catalysis Research Centre, Department of Chemistry, Technical University of Munich, Lichtenbergstr. 4, 85748 Garching, Germany
| | - Berna Özkale
- Microrobotic Bioengineering Lab (MRBL), Department of Electrical Engineering, TUM School of Computation, Information, and Technology, Technical University of Munich, Hans-Piloty-Str. 1, Garching 85748, Germany
| | - Roland A Fischer
- Chair of Inorganic and Metal-Organic Chemistry, School of Natural Sciences and Catalysis Research Centre, Department of Chemistry, Technical University of Munich, Lichtenbergstr. 4, 85748 Garching, Germany
| | - Bernhard Wolfrum
- Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Hans-Piloty-Str. 1, 85748, Garching, Germany
- Medical & Health Informatics Laboratories NTT Research Incorporated, 940 Stewart Dr, Sunnyvale, CA 94085, USA
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Zhang K, Deng Y, Liu Y, Luo J, Glidle A, Cooper JM, Xu S, Yang Y, Lv S, Xu Z, Wu Y, Sha L, Xu Q, Yin H, Cai X. Investigating Communication Dynamics in Neuronal Network using 3D Gold Microelectrode Arrays. ACS NANO 2024; 18:17162-17174. [PMID: 38902594 DOI: 10.1021/acsnano.4c03983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Although in vitro neuronal network models hold great potential for advancing neuroscience research, with the capacity to provide fundamental insights into mechanisms underlying neuronal functions, the dynamics of cell communication within such networks remain poorly understood. Here, we develop a customizable, polymer modified three-dimensional gold microelectrode array with sufficient stability for high signal-to-noise, long-term, neuronal recording of cultured networks. By using directed spatial and temporal patterns of electrical stimulation of cells to explore synaptic-based communication, we monitored cell network dynamics over 3 weeks, quantifying communication capability using correlation heatmaps and mutual information networks. Analysis of synaptic delay and signal speed between cells enabled us to establish a communication connectivity model. We anticipate that our discoveries of the dynamic changes in communication across the neuronal network will provide a valuable tool for future studies in understanding health and disease as well as in developing effective platforms for evaluating therapies.
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Affiliation(s)
- Kui Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yu Deng
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Andrew Glidle
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom
| | - Jonathan M Cooper
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom
| | - Shihong Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shiya Lv
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Longzhe Sha
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - Qi Xu
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - Huabing Yin
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute,, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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3
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Sandoval SO, Cappuccio G, Kruth K, Osenberg S, Khalil SM, Méndez-Albelo NM, Padmanabhan K, Wang D, Niciu MJ, Bhattacharyya A, Stein JL, Sousa AMM, Waxman EA, Buttermore ED, Whye D, Sirois CL, Williams A, Maletic-Savatic M, Zhao X. Rigor and reproducibility in human brain organoid research: Where we are and where we need to go. Stem Cell Reports 2024; 19:796-816. [PMID: 38759644 DOI: 10.1016/j.stemcr.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 05/19/2024] Open
Abstract
Human brain organoid models have emerged as a promising tool for studying human brain development and function. These models preserve human genetics and recapitulate some aspects of human brain development, while facilitating manipulation in an in vitro setting. Despite their potential to transform biology and medicine, concerns persist about their fidelity. To fully harness their potential, it is imperative to establish reliable analytic methods, ensuring rigor and reproducibility. Here, we review current analytical platforms used to characterize human forebrain cortical organoids, highlight challenges, and propose recommendations for future studies to achieve greater precision and uniformity across laboratories.
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Affiliation(s)
- Soraya O Sandoval
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Gerarda Cappuccio
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Karina Kruth
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Sivan Osenberg
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Saleh M Khalil
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Natasha M Méndez-Albelo
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA; Molecular Cellular Pharmacology Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Krishnan Padmanabhan
- Department of Neuroscience, Center for Visual Science, Del Monte Institute for Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester NY 14642, USA
| | - Daifeng Wang
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Departments of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Mark J Niciu
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jason L Stein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - André M M Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Elisa A Waxman
- Center for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Center for Epilepsy and NeuroDevelopmental Disorders (ENDD), The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Elizabeth D Buttermore
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA; F.M. Kirby Neurobiology Department, Boston Children's Hospital, Boston, MA, USA
| | - Dosh Whye
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA, USA; F.M. Kirby Neurobiology Department, Boston Children's Hospital, Boston, MA, USA
| | - Carissa L Sirois
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Aislinn Williams
- Department of Psychiatry, University of Iowa Health Care, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, University of Iowa Health Care, Iowa City, IA 52242, USA.
| | - Mirjana Maletic-Savatic
- Department of Pediatrics-Neurology, Baylor College of Medicine, Houston, TX, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA; Center for Drug Discovery, Baylor College of Medicine, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA.
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4
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Stoppini L, Heuschkel MO, Loussert-Fonta C, Gomez Baisac L, Roux A. Versatile micro-electrode array to monitor human iPSC derived 3D neural tissues at air-liquid interface. Front Cell Neurosci 2024; 18:1389580. [PMID: 38784710 PMCID: PMC11112036 DOI: 10.3389/fncel.2024.1389580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/02/2024] [Indexed: 05/25/2024] Open
Abstract
Engineered 3D neural tissues made of neurons and glial cells derived from human induced pluripotent stem cells (hiPSC) are among the most promising tools in drug discovery and neurotoxicology. They represent a cheaper, faster, and more ethical alternative to in vivo animal testing that will likely close the gap between in vitro animal models and human clinical trials. Micro-Electrode Array (MEA) technology is known to provide an assessment of compound effects on neural 2D cell cultures and acute tissue preparations by real-time, non-invasive, and long-lasting electrophysiological monitoring of spontaneous and evoked neuronal activity. Nevertheless, the use of engineered 3D neural tissues in combination with MEA biochips still involves series of constraints, such as drastically limited diffusion of oxygen and nutrients within tissues mainly due to the lack of vascularization. Therefore, 3D neural tissues are extremely sensitive to experimental conditions and require an adequately designed interface that provides optimal tissue survival conditions. A well-suited technique to overcome this issue is the combination of the Air-Liquid Interface (ALI) tissue culture method with the MEA technology. We have developed a full 3D neural tissue culture process and a data acquisition system composed of high-end electronics and novel MEA biochips based on porous, flexible, thin-film membranes integrating recording electrodes, named as "Strip-MEA," to allow the maintenance of an ALI around the 3D neural tissues. The main motivation of the porous MEA biochips development was the possibility to monitor and to study the electrical activity of 3D neural tissues under different recording configurations, (i) the Strip-MEA can be placed below a tissue, (ii) or by taking advantage of the ALI, be directly placed on top of the tissue, or finally, (iii) it can be embedded into a larger neural tissue generated by the fusion of two (or more) tissues placed on both sides of the Strip-MEA allowing the recording from its inner part. This paper presents the recording and analyses of spontaneous activity from the three positioning configurations of the Strip-MEAs. Obtained results are discussed with the perspective of developing in vitro models of brain diseases and/or impairment of neural network functioning.
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Affiliation(s)
| | | | | | | | - Adrien Roux
- Tissue Engineering Laboratory, HEPIA HES-SO University of Applied Sciences and Arts Western Switzerland, Geneva, Switzerland
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5
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Yadav N, Giacomozzi F, Cian A, Giubertoni D, Lorenzelli L. Enhancing the Deposition Rate and Uniformity in 3D Gold Microelectrode Arrays via Ultrasonic-Enhanced Template-Assisted Electrodeposition. SENSORS (BASEL, SWITZERLAND) 2024; 24:1251. [PMID: 38400408 PMCID: PMC10893058 DOI: 10.3390/s24041251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/22/2024] [Accepted: 02/12/2024] [Indexed: 02/25/2024]
Abstract
In the pursuit of refining the fabrication of three-dimensional (3D) microelectrode arrays (MEAs), this study investigates the application of ultrasonic vibrations in template-assisted electrodeposition. This was driven by the need to overcome limitations in the deposition rate and the height uniformity of microstructures developed using conventional electrodeposition methods, particularly in the field of in vitro electrophysiological investigations. This study employs a template-assisted electrodeposition approach coupled with ultrasonic vibrations to enhance the deposition process. The method involves utilizing a polymeric hard mask to define the shape of electrodeposited microstructures (i.e., micro-pillars). The results show that the integration of ultrasonic vibrations significantly increases the deposition rate by up to 5 times and substantially improves the uniformity in 3D MEAs. The key conclusion drawn is that ultrasonic-enhanced template-assisted electrodeposition emerges as a powerful technique and enables the development of 3D MEAs at a higher rate and with a superior uniformity. This advancement holds promising implications for the precision of selective electrodeposition applications and signifies a significant stride in developing micro- and nanofabrication methodologies for biomedical applications.
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Affiliation(s)
- Neeraj Yadav
- Department of Industrial Engineering, University of Trento, 38123 Trento, Italy
- Center for Sensors & Devices (SD), FBK—Foundation Bruno Kessler, 38123 Trento, Italy; (F.G.); (A.C.); (L.L.)
| | - Flavio Giacomozzi
- Center for Sensors & Devices (SD), FBK—Foundation Bruno Kessler, 38123 Trento, Italy; (F.G.); (A.C.); (L.L.)
| | - Alessandro Cian
- Center for Sensors & Devices (SD), FBK—Foundation Bruno Kessler, 38123 Trento, Italy; (F.G.); (A.C.); (L.L.)
| | - Damiano Giubertoni
- Center for Sensors & Devices (SD), FBK—Foundation Bruno Kessler, 38123 Trento, Italy; (F.G.); (A.C.); (L.L.)
| | - Leandro Lorenzelli
- Center for Sensors & Devices (SD), FBK—Foundation Bruno Kessler, 38123 Trento, Italy; (F.G.); (A.C.); (L.L.)
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Jiao Y, Lei M, Zhu J, Chang R, Qu X. Advances in electrode interface materials and modification technologies for brain-computer interfaces. BIOMATERIALS TRANSLATIONAL 2023; 4:213-233. [PMID: 38282708 PMCID: PMC10817795 DOI: 10.12336/biomatertransl.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/13/2023] [Accepted: 11/24/2023] [Indexed: 01/30/2024]
Abstract
Recent advances in neuroelectrode interface materials and modification technologies are reviewed. Brain-computer interface is the new method of human-computer interaction, which not only can realise the exchange of information between the human brain and external devices, but also provides a brand-new means for the diagnosis and treatment of brain-related diseases. The neural electrode interface part of brain-computer interface is an important area for electrical, optical and chemical signal transmission between brain tissue system and external electronic devices, which determines the performance of brain-computer interface. In order to solve the problems of insufficient flexibility, insufficient signal recognition ability and insufficient biocompatibility of traditional rigid electrodes, researchers have carried out extensive studies on the neuroelectrode interface in terms of materials and modification techniques. This paper introduces the biological reactions that occur in neuroelectrodes after implantation into brain tissue and the decisive role of the electrode interface for electrode function. Following this, the latest research progress on neuroelectrode materials and interface materials is reviewed from the aspects of neuroelectrode materials and modification technologies, firstly taking materials as a clue, and then focusing on the preparation process of neuroelectrode coatings and the design scheme of functionalised structures.
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Affiliation(s)
- Yunke Jiao
- Key Laboratory for Ultrafine Materials of Ministry of Education, School of Material Science and Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, China
| | - Miao Lei
- Key Laboratory for Ultrafine Materials of Ministry of Education, School of Material Science and Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, China
| | - Jianwei Zhu
- Key Laboratory for Ultrafine Materials of Ministry of Education, School of Material Science and Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, China
| | - Ronghang Chang
- Key Laboratory for Ultrafine Materials of Ministry of Education, School of Material Science and Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, China
| | - Xue Qu
- Key Laboratory for Ultrafine Materials of Ministry of Education, School of Material Science and Engineering, Frontiers Science Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, Shanghai, China
- Wenzhou Institute of Shanghai University, Wenzhou, Zhejiang Province, China
- Shanghai Frontier Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai, China
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7
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Lv S, He E, Luo J, Liu Y, Liang W, Xu S, Zhang K, Yang Y, Wang M, Song Y, Wu Y, Cai X. Using Human-Induced Pluripotent Stem Cell Derived Neurons on Microelectrode Arrays to Model Neurological Disease: A Review. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301828. [PMID: 37863819 PMCID: PMC10667858 DOI: 10.1002/advs.202301828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 09/04/2023] [Indexed: 10/22/2023]
Abstract
In situ physiological signals of in vitro neural disease models are essential for studying pathogenesis and drug screening. Currently, an increasing number of in vitro neural disease models are established using human-induced pluripotent stem cell (hiPSC) derived neurons (hiPSC-DNs) to overcome interspecific gene expression differences. Microelectrode arrays (MEAs) can be readily interfaced with two-dimensional (2D), and more recently, three-dimensional (3D) neural stem cell-derived in vitro models of the human brain to monitor their physiological activity in real time. Therefore, MEAs are emerging and useful tools to model neurological disorders and disease in vitro using human iPSCs. This is enabling a real-time window into neuronal signaling at the network scale from patient derived. This paper provides a comprehensive review of MEA's role in analyzing neural disease models established by hiPSC-DNs. It covers the significance of MEA fabrication, surface structure and modification schemes for hiPSC-DNs culturing and signal detection. Additionally, this review discusses advances in the development and use of MEA technology to study in vitro neural disease models, including epilepsy, autism spectrum developmental disorder (ASD), and others established using hiPSC-DNs. The paper also highlights the application of MEAs combined with hiPSC-DNs in detecting in vitro neurotoxic substances. Finally, the future development and outlook of multifunctional and integrated devices for in vitro medical diagnostics and treatment are discussed.
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Affiliation(s)
- Shiya Lv
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Enhui He
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
- The State Key Lab of Brain‐Machine IntelligenceZhejiang UniversityHangzhou321100China
| | - Jinping Luo
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yaoyao Liu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Wei Liang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Shihong Xu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Kui Zhang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yan Yang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Mixia Wang
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yilin Song
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Yirong Wu
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
| | - Xinxia Cai
- State Key Laboratory of Transducer TechnologyAerospace Information Research InstituteChinese Academy of SciencesBeijing100190China
- University of Chinese Academy of SciencesBeijing100049China
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8
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Zhang H, Wang P, Huang N, Zhao L, Su Y, Li L, Bian S, Sawan M. Single neurons on microelectrode array chip: manipulation and analyses. Front Bioeng Biotechnol 2023; 11:1258626. [PMID: 37829565 PMCID: PMC10565505 DOI: 10.3389/fbioe.2023.1258626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 09/18/2023] [Indexed: 10/14/2023] Open
Abstract
Chips-based platforms intended for single-cell manipulation are considered powerful tools to analyze intercellular interactions and cellular functions. Although the conventional cell co-culture models could investigate cell communication to some extent, the role of a single cell requires further analysis. In this study, a precise intercellular interaction model was built using a microelectrode array [microelectrode array (MEA)]-based and dielectrophoresis-driven single-cell manipulation chip. The integrated platform enabled precise manipulation of single cells, which were either trapped on or transferred between electrodes. Each electrode was controlled independently to record the corresponding cellular electrophysiology. Multiple parameters were explored to investigate their effects on cell manipulation including the diameter and depth of microwells, the geometry of cells, and the voltage amplitude of the control signal. Under the optimized microenvironment, the chip was further evaluated using 293T and neural cells to investigate the influence of electric field on cells. An examination of the inappropriate use of electric fields on cells revealed the occurrence of oncosis. In the end of the study, electrophysiology of single neurons and network of neurons, both differentiated from human induced pluripotent stem cells (iPSC), was recorded and compared to demonstrate the functionality of the chip. The obtained preliminary results extended the nature growing model to the controllable level, satisfying the expectation of introducing more elaborated intercellular interaction models.
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Affiliation(s)
- Hongyong Zhang
- Zhejiang University, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Pengbo Wang
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Nan Huang
- School of Life Science, Westlake University, Hangzhou, China
| | - Lingrui Zhao
- School of Life Science, Westlake University, Hangzhou, China
| | - Yi Su
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Lingfei Li
- Department of Neurology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Sumin Bian
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Mohamad Sawan
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
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9
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Didier CM, Fox D, Pollard KJ, Baksh A, Iyer NR, Bosak A, Li Sip YY, Orrico JF, Kundu A, Ashton RS, Zhai L, Moore MJ, Rajaraman S. Fully Integrated 3D Microelectrode Arrays with Polydopamine-Mediated Silicon Dioxide Insulation for Electrophysiological Interrogation of a Novel 3D Human, Neural Microphysiological Construct. ACS APPLIED MATERIALS & INTERFACES 2023; 15:37157-37173. [PMID: 37494582 DOI: 10.1021/acsami.3c05788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Advances within in vitro biological system complexity have enabled new possibilities for the "Organs-on-a-Chip" field. Microphysiological systems (MPS) as such incorporate sophisticated biological constructs with custom biological sensors. For microelectromechanical systems (MEMS) sensors, the dielectric layer is critical for device performance, where silicon dioxide (SiO2) represents an excellent candidate due to its biocompatibility and wide utility in MEMS devices. Yet, high temperatures traditionally preclude SiO2 from incorporation in polymer-based BioMEMS. Electron-beam deposition of SiO2 may provide a low-temperature, dielectric serving as a nanoporous MPS growth substrate. Herein, we enable improved adherence of nanoporous SiO2 to polycarbonate (PC) and 316L stainless steel (SS) via polydopamine (PDA)-mediated chemistry. The resulting stability of the combinatorial PDA-SiO2 film was interrogated, along with the nature of the intrafilm interactions. A custom polymer-metal three-dimensional (3D) microelectrode array (3D MEA) is then reported utilizing PDA-SiO2 insulation, for definition of novel dorsal root ganglion (DRG)/nociceptor and dorsal horn (DH) 3D neural constructs in excess of 6 months for the first time. Spontaneous/evoked compound action potentials (CAPs) are successfully reported. Finally, inhibitory drugs treatments showcase pharmacological responsiveness of the reported multipart biological activity. These results represent the initiation of a novel 3D MEA-integrated, 3D neural MPS for the long-term electrophysiological study.
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Affiliation(s)
- Charles M Didier
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - David Fox
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Kevin J Pollard
- Tulane University, 6823 St Charles Ave, New Orleans, Louisiana 70118, United States
| | - Aliyah Baksh
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Nisha R Iyer
- University of Wisconsin-Madison, 330 N. Orchard Street, Madison, Wisconsin 53717, United States
| | - Alexander Bosak
- Tulane University, 6823 St Charles Ave, New Orleans, Louisiana 70118, United States
| | - Yuen Yee Li Sip
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Julia F Orrico
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Avra Kundu
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Randolph S Ashton
- University of Wisconsin-Madison, 330 N. Orchard Street, Madison, Wisconsin 53717, United States
| | - Lei Zhai
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
| | - Michael J Moore
- Tulane University, 6823 St Charles Ave, New Orleans, Louisiana 70118, United States
- AxoSim Inc., 1441 Canal St., New Orleans, Louisiana 70112, United States
| | - Swaminathan Rajaraman
- University of Central Florida, 4000 Central Florida Blvd., Orlando, Florida 32816, United States
- Primordia Biosystems Inc., 1317 Edgewater Drive, #2701, Orlando, Florida 32804, United States
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10
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Khan A, Kumari P, Kumari N, Shaikh U, Ekhator C, Halappa Nagaraj R, Yadav V, Khan AW, Lazarevic S, Bharati B, Lakshmipriya Vetrivendan G, Mulmi A, Mohamed H, Ullah A, Kadel B, Bellegarde SB, Rehman A. Biomimetic Approaches in Cardiac Tissue Engineering: Replicating the Native Heart Microenvironment. Cureus 2023; 15:e43431. [PMID: 37581196 PMCID: PMC10423641 DOI: 10.7759/cureus.43431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/13/2023] [Indexed: 08/16/2023] Open
Abstract
Cardiovascular diseases, including heart failure, pose significant challenges in medical practice, necessitating innovative approaches for cardiac repair and regeneration. Cardiac tissue engineering has emerged as a promising solution, aiming to develop functional and physiologically relevant cardiac tissue constructs. Replicating the native heart microenvironment, with its complex and dynamic milieu necessary for cardiac tissue growth and function, is crucial in tissue engineering. Biomimetic strategies that closely mimic the natural heart microenvironment have gained significant interest due to their potential to enhance synthetic cardiac tissue functionality and therapeutic applicability. Biomimetic approaches focus on mimicking biochemical cues, mechanical stimuli, coordinated electrical signaling, and cell-cell/cell-matrix interactions of cardiac tissue. By combining bioactive ligands, controlled delivery systems, appropriate biomaterial characteristics, electrical signals, and strategies to enhance cell interactions, biomimetic approaches provide a more physiologically relevant environment for tissue growth. The replication of the native cardiac microenvironment enables precise regulation of cellular responses, tissue remodeling, and the development of functional cardiac tissue constructs. Challenges and future directions include refining complex biochemical signaling networks, paracrine signaling, synchronized electrical networks, and cell-cell/cell-matrix interactions. Advancements in biomimetic approaches hold great promise for cardiovascular regenerative medicine, offering potential therapeutic strategies and revolutionizing cardiac disease modeling. These approaches contribute to the development of more effective treatments, personalized medicine, and improved patient outcomes. Ongoing research and innovation in biomimetic approaches have the potential to revolutionize regenerative medicine and cardiac disease modeling by replicating the native heart microenvironment, advancing functional cardiac tissue engineering, and improving patient outcomes.
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Affiliation(s)
- Anoosha Khan
- Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Priya Kumari
- Medicine, Jinnah Postgraduate Medical Centre, Karachi, PAK
| | - Naina Kumari
- Dow Medical College, Dow University of Health Sciences, Karachi, PAK
| | - Usman Shaikh
- Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Chukwuyem Ekhator
- Neuro-Oncology, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, USA
| | | | - Vikas Yadav
- Internal Medicine, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, IND
| | | | | | - Bishal Bharati
- Internal Medicine, Nepal Medical College, Kathmandu, NPL
| | | | | | - Hana Mohamed
- Medicine, United Nations Study & Understanding, The International Academy, Khartoum, SDN
- Medicine, Elrazi University, Khartoum, SDN
| | | | - Bijan Kadel
- Internal Medicine, Nepal Medical College and Teaching Hospital, Kathmandu, NPL
| | - Sophia B Bellegarde
- Pathology and Laboratory Medicine, American University of Antigua, St. John's, ATG
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11
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Zhang K, Liu Y, Song Y, Xu S, Yang Y, Jiang L, Sun S, Luo J, Wu Y, Cai X. Exploring retinal ganglion cells encoding to multi-modal stimulation using 3D microelectrodes arrays. Front Bioeng Biotechnol 2023; 11:1245082. [PMID: 37600306 PMCID: PMC10434521 DOI: 10.3389/fbioe.2023.1245082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Microelectrode arrays (MEA) are extensively utilized in encoding studies of retinal ganglion cells (RGCs) due to their capacity for simultaneous recording of neural activity across multiple channels. However, conventional planar MEAs face limitations in studying RGCs due to poor coupling between electrodes and RGCs, resulting in low signal-to-noise ratio (SNR) and limited recording sensitivity. To overcome these challenges, we employed photolithography, electroplating, and other processes to fabricate a 3D MEA based on the planar MEA platform. The 3D MEA exhibited several improvements compared to planar MEA, including lower impedance (8.73 ± 1.66 kΩ) and phase delay (-15.11° ± 1.27°), as well as higher charge storage capacity (CSC = 10.16 ± 0.81 mC/cm2), cathodic charge storage capacity (CSCc = 7.10 ± 0.55 mC/cm2), and SNR (SNR = 8.91 ± 0.57). Leveraging the advanced 3D MEA, we investigated the encoding characteristics of RGCs under multi-modal stimulation. Optical, electrical, and chemical stimulation were applied as sensory inputs, and distinct response patterns and response times of RGCs were detected, as well as variations in rate encoding and temporal encoding. Specifically, electrical stimulation elicited more effective RGC firing, while optical stimulation enhanced RGC synchrony. These findings hold promise for advancing the field of neural encoding.
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Affiliation(s)
- Kui Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Yilin Song
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Shihong Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Yan Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Longhui Jiang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Shutong Sun
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China
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12
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Chen Z, Lin Z, Obaid SN, Rytkin E, George SA, Bach C, Madrid M, Liu M, LaPiano J, Fehr A, Shi X, Quirion N, Russo B, Knight H, Aduwari A, Efimov IR, Lu L. Soft, bioresorbable, transparent microelectrode arrays for multimodal spatiotemporal mapping and modulation of cardiac physiology. SCIENCE ADVANCES 2023; 9:eadi0757. [PMID: 37406128 DOI: 10.1126/sciadv.adi0757] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/01/2023] [Indexed: 07/07/2023]
Abstract
Transparent microelectrode arrays (MEAs) that allow multimodal investigation of the spatiotemporal cardiac characteristics are important in studying and treating heart disease. Existing implantable devices, however, are designed to support chronic operational lifetimes and require surgical extraction when they malfunction or are no longer needed. Meanwhile, bioresorbable systems that can self-eliminate after performing temporary functions are increasingly attractive because they avoid the costs/risks of surgical extraction. We report the design, fabrication, characterization, and validation of a soft, fully bioresorbable, and transparent MEA platform for bidirectional cardiac interfacing over a clinically relevant period. The MEA provides multiparametric electrical/optical mapping of cardiac dynamics and on-demand site-specific pacing to investigate and treat cardiac dysfunctions in rat and human heart models. The bioresorption dynamics and biocompatibility are investigated. The device designs serve as the basis for bioresorbable cardiac technologies for potential postsurgical monitoring and treating temporary patient pathological conditions in certain clinical scenarios, such as myocardial infarction, ischemia, and transcatheter aortic valve replacement.
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Affiliation(s)
- Zhiyuan Chen
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Zexu Lin
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Sofian N Obaid
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Eric Rytkin
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Sharon A George
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Christopher Bach
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Micah Madrid
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Miya Liu
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Jessica LaPiano
- MedStar Georgetown University Hospital, Washington, DC 20037, USA
| | - Amy Fehr
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xinyu Shi
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Nathaniel Quirion
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Benjamin Russo
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Helen Knight
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Anthony Aduwari
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Igor R Efimov
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Medicine (Cardiology), Northwestern University, Chicago, IL 60611, USA
| | - Luyao Lu
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
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13
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Molloy CJ, Cooke J, Gatford NJF, Rivera-Olvera A, Avazzadeh S, Homberg JR, Grandjean J, Fernandes C, Shen S, Loth E, Srivastava DP, Gallagher L. Bridging the translational gap: what can synaptopathies tell us about autism? Front Mol Neurosci 2023; 16:1191323. [PMID: 37441676 PMCID: PMC10333541 DOI: 10.3389/fnmol.2023.1191323] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/24/2023] [Indexed: 07/15/2023] Open
Abstract
Multiple molecular pathways and cellular processes have been implicated in the neurobiology of autism and other neurodevelopmental conditions. There is a current focus on synaptic gene conditions, or synaptopathies, which refer to clinical conditions associated with rare genetic variants disrupting genes involved in synaptic biology. Synaptopathies are commonly associated with autism and developmental delay and may be associated with a range of other neuropsychiatric outcomes. Altered synaptic biology is suggested by both preclinical and clinical studies in autism based on evidence of differences in early brain structural development and altered glutamatergic and GABAergic neurotransmission potentially perturbing excitatory and inhibitory balance. This review focusses on the NRXN-NLGN-SHANK pathway, which is implicated in the synaptic assembly, trans-synaptic signalling, and synaptic functioning. We provide an overview of the insights from preclinical molecular studies of the pathway. Concentrating on NRXN1 deletion and SHANK3 mutations, we discuss emerging understanding of cellular processes and electrophysiology from induced pluripotent stem cells (iPSC) models derived from individuals with synaptopathies, neuroimaging and behavioural findings in animal models of Nrxn1 and Shank3 synaptic gene conditions, and key findings regarding autism features, brain and behavioural phenotypes from human clinical studies of synaptopathies. The identification of molecular-based biomarkers from preclinical models aims to advance the development of targeted therapeutic treatments. However, it remains challenging to translate preclinical animal models and iPSC studies to interpret human brain development and autism features. We discuss the existing challenges in preclinical and clinical synaptopathy research, and potential solutions to align methodologies across preclinical and clinical research. Bridging the translational gap between preclinical and clinical studies will be necessary to understand biological mechanisms, to identify targeted therapies, and ultimately to progress towards personalised approaches for complex neurodevelopmental conditions such as autism.
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Affiliation(s)
- Ciara J. Molloy
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Jennifer Cooke
- Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Nicholas J. F. Gatford
- Kavli Institute for Nanoscience Discovery, Nuffield Department of Clinical Neurosciences, University of Oxford, Medical Sciences Division, Oxford, United Kingdom
| | - Alejandro Rivera-Olvera
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Sahar Avazzadeh
- Physiology and Cellular Physiology Research Laboratory, CÚRAM SFI Centre for Research in Medical Devices, School of Medicine, Human Biology Building, University of Galway, Galway, Ireland
| | - Judith R. Homberg
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Joanes Grandjean
- Physiology and Cellular Physiology Research Laboratory, CÚRAM SFI Centre for Research in Medical Devices, School of Medicine, Human Biology Building, University of Galway, Galway, Ireland
- Department of Medical Imaging, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Cathy Fernandes
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Sanbing Shen
- Regenerative Medicine Institute, School of Medicine, University of Galway, Galway, Ireland
- FutureNeuro, The SFI Research Centre for Chronic and Rare Neurological Diseases, Royal College of Surgeons, Dublin, Ireland
| | - Eva Loth
- Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Deepak P. Srivastava
- MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Louise Gallagher
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
- The Hospital for SickKids, Toronto, ON, Canada
- The Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Toronto, ON, Canada
- The Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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14
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Chen Z, Nguyen K, Kowalik G, Shi X, Tian J, Doshi M, Alber BR, Guan X, Liu X, Ning X, Kay MW, Lu L. Transparent and Stretchable Au─Ag Nanowire Recording Microelectrode Arrays. ADVANCED MATERIALS TECHNOLOGIES 2023; 8:2201716. [PMID: 38644939 PMCID: PMC11031257 DOI: 10.1002/admt.202201716] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Indexed: 04/23/2024]
Abstract
Transparent microelectrodes have received much attention from the biomedical community due to their unique advantages in concurrent crosstalk-free electrical and optical interrogation of cell/tissue activity. Despite recent progress in constructing transparent microelectrodes, a major challenge is to simultaneously achieve desirable mechanical stretchability, optical transparency, electrochemical performance, and chemical stability for high-fidelity, conformal, and stable interfacing with soft tissue/organ systems. To address this challenge, we have designed microelectrode arrays (MEAs) with gold-coated silver nanowires (Au─Ag NWs) by combining technical advances in materials, fabrication, and mechanics. The Au coating improves both the chemical stability and electrochemical impedance of the Au─Ag NW microelectrodes with only slight changes in optical properties. The MEAs exhibit a high optical transparency >80% at 550 nm, a low normalized 1 kHz electrochemical impedance of 1.2-7.5 Ω cm2, stable chemical and electromechanical performance after exposure to oxygen plasma for 5 min, and cyclic stretching for 600 cycles at 20% strain, superior to other transparent microelectrode alternatives. The MEAs easily conform to curvilinear heart surfaces for colocalized electrophysiological and optical mapping of cardiac function. This work demonstrates that stretchable transparent metal nanowire MEAs are promising candidates for diverse biomedical science and engineering applications, particularly under mechanically dynamic conditions.
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Affiliation(s)
- Zhiyuan Chen
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Khanh Nguyen
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Grant Kowalik
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xinyu Shi
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Jinbi Tian
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Mitansh Doshi
- Department of Aerospace Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Bridget R Alber
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xun Guan
- Department of Civil and Environmental Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xitong Liu
- Department of Civil and Environmental Engineering, The George Washington University, Washington, DC 20052, USA
| | - Xin Ning
- Department of Aerospace Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Matthew W Kay
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
| | - Luyao Lu
- Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
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15
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McDonald M, Sebinger D, Brauns L, Gonzalez-Cano L, Menuchin-Lasowski Y, Mierzejewski M, Psathaki OE, Stumpf A, Wickham J, Rauen T, Schöler H, Jones PD. A mesh microelectrode array for non-invasive electrophysiology within neural organoids. Biosens Bioelectron 2023; 228:115223. [PMID: 36931193 DOI: 10.1016/j.bios.2023.115223] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 03/13/2023]
Abstract
Organoids are emerging in vitro models of human physiology. Neural models require the evaluation of functional activity of single cells and networks, which is commonly measured by microelectrode arrays. The characteristics of organoids clash with existing in vitro or in vivo microelectrode arrays. With inspiration from implantable mesh electronics and growth of organoids on polymer scaffolds, we fabricated suspended hammock-like mesh microelectrode arrays for neural organoids. We have demonstrated the growth of organoids enveloping these meshes and the culture of organoids on meshes for up to one year. Furthermore, we present proof-of-principle recordings of spontaneous electrical activity across the volume of an organoid. Our concept enables a new class of microelectrode arrays for in vitro models of three-dimensional electrically active tissue.
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Affiliation(s)
- Matthew McDonald
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany; Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | - David Sebinger
- Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | - Lisa Brauns
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany; Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | - Laura Gonzalez-Cano
- Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | | | - Michael Mierzejewski
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany; Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | - Olympia-Ekaterini Psathaki
- Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany; University of Osnabrück, CellNanOs (Center of Cellular Nanoanalytics), Integrated Bioimaging Facility iBiOs, Barbarastr. 11, 49076, Osnabrück, Germany
| | - Angelika Stumpf
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany
| | - Jenny Wickham
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany
| | - Thomas Rauen
- Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany.
| | - Hans Schöler
- Max Planck Institute for Molecular Biomedicine, Röntgenstr. 20, 48149, Münster, Germany
| | - Peter D Jones
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstr. 55, 72770, Reutlingen, Germany.
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16
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Ko DH, Bates D, Karaosmanoglu H, Taredun K, Elton C, Jones L, Hosseini A, Partridge A. 3D microelectrode arrays, pushing the bounds of sensitivity toward a generic platform for point-of-care diagnostics. Biosens Bioelectron 2023; 227:115154. [PMID: 36801599 DOI: 10.1016/j.bios.2023.115154] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/19/2023] [Accepted: 02/13/2023] [Indexed: 02/16/2023]
Abstract
The increased sensitivity of microelectrode arrays (MEAs) over macroelectrodes for biosensing is well established, and results from reducing the diffusion gradient of the target species to and from the electrode surfaces. The current study describes the fabrication and characterisation of a polymer-based MEA, which exploits the advantages of three dimensionality (3D). Firstly, the unique 3D formfactor promotes release of the gold tips from an inert layer in a controlled fashion, to form a highly reproducible array of microelectrodes in a single step. The 3D topography of the fabricated MEAs significantly enhances the diffusion profile of the target species to the electrode which results in higher sensitivity. Furthermore, the "sharpness" of the 3D structure induces differential current distribution that is focused at the apices of the individual electrodes, reducing the active area, and thereby overcoming the requirement for the electrodes to be sub-micron in size before true MEA behaviour can be achieved. The electrochemical characteristics of the 3D MEAs shows ideal micro-electrode behaviour, with a level of sensitivity of three orders of magnitude greater than that of enzyme-linked immunosorbent assays (ELISA), as the optical based gold standard. The application of the 3D MEAs uses the combination of enzyme-label and substrate approach employed in ELISAs as a generic basis for biosensing and can hence be applied to the plethora of targets that utilise the ELISA approach. As an example, the 3D MEAs are applied to the detection of RNA and demonstrate a level of detection down to single digit picomolar concentrations.
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Affiliation(s)
- Danny Hsu Ko
- Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - David Bates
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Hande Karaosmanoglu
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Karl Taredun
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Clare Elton
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Leonie Jones
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand
| | - Ali Hosseini
- Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand.
| | - Ashton Partridge
- Digital Sensing Ltd, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand; Catalyst Tec Limited, 16 Beatrice Tinsley Crescent, Auckland, 0632, New Zealand; Chemical and Materials Engineering, The University of Auckland, Auckland, 1010, New Zealand.
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17
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Biosensor integrated brain-on-a-chip platforms: Progress and prospects in clinical translation. Biosens Bioelectron 2023; 225:115100. [PMID: 36709589 DOI: 10.1016/j.bios.2023.115100] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/07/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023]
Abstract
Because of the brain's complexity, developing effective treatments for neurological disorders is a formidable challenge. Research efforts to this end are advancing as in vitro systems have reached the point that they can imitate critical components of the brain's structure and function. Brain-on-a-chip (BoC) was first used for microfluidics-based systems with small synthetic tissues but has expanded recently to include in vitro simulation of the central nervous system (CNS). Defining the system's qualifying parameters may improve the BoC for the next generation of in vitro platforms. These parameters show how well a given platform solves the problems unique to in vitro CNS modeling (like recreating the brain's microenvironment and including essential parts like the blood-brain barrier (BBB)) and how much more value it offers than traditional cell culture systems. This review provides an overview of the practical concerns of creating and deploying BoC systems and elaborates on how these technologies might be used. Not only how advanced biosensing technologies could be integrated with BoC system but also how novel approaches will automate assays and improve point-of-care (PoC) diagnostics and accurate quantitative analyses are discussed. Key challenges providing opportunities for clinical translation of BoC in neurodegenerative disorders are also addressed.
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18
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Xu S, Liu Y, Yang Y, Zhang K, Liang W, Xu Z, Wu Y, Luo J, Zhuang C, Cai X. Recent Progress and Perspectives on Neural Chip Platforms Integrating PDMS-Based Microfluidic Devices and Microelectrode Arrays. MICROMACHINES 2023; 14:709. [PMID: 37420942 DOI: 10.3390/mi14040709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/17/2023] [Accepted: 03/19/2023] [Indexed: 07/09/2023]
Abstract
Recent years have witnessed a spurt of progress in the application of the encoding and decoding of neural activities to drug screening, diseases diagnosis, and brain-computer interactions. To overcome the constraints of the complexity of the brain and the ethical considerations of in vivo research, neural chip platforms integrating microfluidic devices and microelectrode arrays have been raised, which can not only customize growth paths for neurons in vitro but also monitor and modulate the specialized neural networks grown on chips. Therefore, this article reviews the developmental history of chip platforms integrating microfluidic devices and microelectrode arrays. First, we review the design and application of advanced microelectrode arrays and microfluidic devices. After, we introduce the fabrication process of neural chip platforms. Finally, we highlight the recent progress on this type of chip platform as a research tool in the field of brain science and neuroscience, focusing on neuropharmacology, neurological diseases, and simplified brain models. This is a detailed and comprehensive review of neural chip platforms. This work aims to fulfill the following three goals: (1) summarize the latest design patterns and fabrication schemes of such platforms, providing a reference for the development of other new platforms; (2) generalize several important applications of chip platforms in the field of neurology, which will attract the attention of scientists in the field; and (3) propose the developmental direction of neural chip platforms integrating microfluidic devices and microelectrode arrays.
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Affiliation(s)
- Shihong Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Yang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kui Zhang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Liang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yirong Wu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinping Luo
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chengyu Zhuang
- Department of Orthopaedics, Rujing Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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19
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Didier CM, Orrico JF, Cepeda Torres OS, Castro JM, Baksh A, Rajaraman S. Microfabricated polymer-metal biosensors for multifarious data collection from electrogenic cellular models. MICROSYSTEMS & NANOENGINEERING 2023; 9:22. [PMID: 36875634 PMCID: PMC9974480 DOI: 10.1038/s41378-023-00488-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/19/2022] [Accepted: 01/09/2023] [Indexed: 05/28/2023]
Abstract
Benchtop tissue cultures have become increasingly complex in recent years, as more on-a-chip biological technologies, such as microphysiological systems (MPS), are developed to incorporate cellular constructs that more accurately represent their respective biological systems. Such MPS have begun facilitating major breakthroughs in biological research and are poised to shape the field in the coming decades. These biological systems require integrated sensing modalities to procure complex, multiplexed datasets with unprecedented combinatorial biological detail. In this work, we expanded upon our polymer-metal biosensor approach by demonstrating a facile technology for compound biosensing that was characterized through custom modeling approaches. As reported herein, we developed a compound chip with 3D microelectrodes, 3D microfluidics, interdigitated electrodes (IDEs) and a microheater. The chip was subsequently tested using the electrical/electrochemical characterization of 3D microelectrodes with 1 kHz impedance and phase recordings and IDE-based high-frequency (~1 MHz frequencies) impedimetric analysis of differential localized temperature recordings, both of which were modeled through equivalent electrical circuits for process parameter extraction. Additionally, a simplified antibody-conjugation strategy was employed for a similar IDE-based analysis of the implications of a key analyte (l-glutamine) binding to the equivalent electrical circuit. Finally, acute microfluidic perfusion modeling was performed to demonstrate the ease of microfluidics integration into such a polymer-metal biosensor platform for potential complimentary localized chemical stimulation. Overall, our work demonstrates the design, development, and characterization of an accessibly designed polymer-metal compound biosensor for electrogenic cellular constructs to facilitate comprehensive MPS data collection.
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Affiliation(s)
- Charles M. Didier
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Burnett School of Biomedical Sciences, University of Central Florida, 6900 Lake Nona Blvd, FL 32827 Orlando, USA
| | - Julia F. Orrico
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
| | - Omar S. Cepeda Torres
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Department of Biomedical Engineering, Polytechnic University of Puerto Rico, 377, 00918, Ponce de Leon, San Juan, Puerto Rico
| | - Jorge Manrique Castro
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Department of Electrical and Computer Engineering, University of Central Florida, 4238 Scorpius Street, FL 32816 Orlando, USA
| | - Aliyah Baksh
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
| | - Swaminathan Rajaraman
- NanoScience Technology Center, University of Central Florida, 4353 Scorpius Street, Research I, Suite 231, FL 32816 Orlando, USA
- Burnett School of Biomedical Sciences, University of Central Florida, 6900 Lake Nona Blvd, FL 32827 Orlando, USA
- Department of Electrical and Computer Engineering, University of Central Florida, 4238 Scorpius Street, FL 32816 Orlando, USA
- Department of Materials Science and Engineering, University of Central Florida, 12760 Pegasus Drive, Engineering I, Suite 207, FL 32816 Orlando, USA
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20
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Patino-Guerrero A, Ponce Wong RD, Kodibagkar VD, Zhu W, Migrino RQ, Graudejus O, Nikkhah M. Development and Characterization of Isogenic Cardiac Organoids from Human-Induced Pluripotent Stem Cells Under Supplement Starvation Regimen. ACS Biomater Sci Eng 2023; 9:944-958. [PMID: 36583992 DOI: 10.1021/acsbiomaterials.2c01290] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The prevalence of cardiovascular risk factors is expected to increase the occurrence of cardiovascular diseases (CVDs) worldwide. Cardiac organoids are promising candidates for bridging the gap between in vitro experimentation and translational applications in drug development and cardiac repair due to their attractive features. Here we present the fabrication and characterization of isogenic scaffold-free cardiac organoids derived from human induced pluripotent stem cells (hiPSCs) formed under a supplement-deprivation regimen that allows for metabolic synchronization and maturation of hiPSC-derived cardiac cells. We propose the formation of coculture cardiac organoids that include hiPSC-derived cardiomyocytes and hiPSC-derived cardiac fibroblasts (hiPSC-CMs and hiPSC-CFs, respectively). The cardiac organoids were characterized through extensive morphological assessment, evaluation of cellular ultrastructures, and analysis of transcriptomic and electrophysiological profiles. The morphology and transcriptomic profile of the organoids were improved by coculture of hiPSC-CMs with hiPSC-CFs. Specifically, upregulation of Ca2+ handling-related genes, such as RYR2 and SERCA, and structure-related genes, such as TNNT2 and MYH6, was observed. Additionally, the electrophysiological characterization of the organoids under supplement deprivation shows a trend for reduced conduction velocity for coculture organoids. These studies help us gain a better understanding of the role of other isogenic cells such as hiPSC-CFs in the formation of mature cardiac organoids, along with the introduction of exogenous chemical cues, such as supplement starvation.
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Affiliation(s)
- Alejandra Patino-Guerrero
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona8528, United States
| | | | - Vikram D Kodibagkar
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona8528, United States
| | - Wuqiang Zhu
- Department of Cardiovascular Diseases, Physiology and Biomedical Engineering, Mayo Clinic Arizona, Scottsdale, Arizona85259, United States
| | - Raymond Q Migrino
- Phoenix Veterans Affairs Health Care System, Phoenix, Arizona85012, United States.,University of Arizona College of Medicine, Phoenix, Arizona85004, United States
| | - Oliver Graudejus
- BMSEED, Mesa, Arizona85201, United States.,School of Molecular Sciences, Arizona State University, Tempe, Arizona85287, United States
| | - Mehdi Nikkhah
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona8528, United States.,Center for Personalized Diagnostics Biodesign Institute, Arizona State University, Tempe, Arizona85281, United States
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21
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Cortelli G, Grob L, Patruno L, Cramer T, Mayer D, Fraboni B, Wolfrum B, de Miranda S. Determination of Stiffness and the Elastic Modulus of 3D-Printed Micropillars with Atomic Force Microscopy-Force Spectroscopy. ACS APPLIED MATERIALS & INTERFACES 2023; 15:7602-7609. [PMID: 36706051 PMCID: PMC9923676 DOI: 10.1021/acsami.2c21921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Nowadays, many applications in diverse fields are taking advantage of micropillars such as optics, tribology, biology, and biomedical engineering. Among them, one of the most attractive is three-dimensional microelectrode arrays for in vivo and in vitro studies, such as cellular recording, biosensors, and drug delivery. Depending on the application, the micropillar's optimal mechanical response ranges from soft to stiff. For long-term implantable devices, a mechanical mismatch between the micropillars and the biological tissue must be avoided. For drug delivery patches, micropillars must penetrate the skin without breaking or bending. The accurate mechanical characterization of the micropillar is pivotal in the fabrication and optimization of such devices, as it determines whether the device will fail or not. In this work, we demonstrate an experimental method based only on atomic force microscopy-force spectroscopy that allows us to measure the stiffness of a micropillar and the elastic modulus of its constituent material. We test our method with four different types of 3D inkjet-printed micropillars: silver micropillars sintered at 100 and 150 °C and polyacrylate microstructures with and without a metallic coating. The estimated elastic moduli are found to be comparable with the corresponding bulk values. Furthermore, our findings show that neither the sintering temperature nor the presence of a thin metal coating plays a major role in defining the mechanical properties of the micropillar.
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Affiliation(s)
- Giorgio Cortelli
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
| | - Leroy Grob
- Neuroelectronics,
Munich Institute of Biomedical Engineering, Department of Electrical
Engineering, Technical University of Munich, 85748 Garching, Germany
| | - Luca Patruno
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
| | - Tobias Cramer
- Department
of Physics and Astronomy, University of
Bologna, Viale Berti
Pichat 6/2, 40127 Bologna, Italy
| | - Dirk Mayer
- Institute
of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Beatrice Fraboni
- Department
of Physics and Astronomy, University of
Bologna, Viale Berti
Pichat 6/2, 40127 Bologna, Italy
| | - Bernhard Wolfrum
- Neuroelectronics,
Munich Institute of Biomedical Engineering, Department of Electrical
Engineering, Technical University of Munich, 85748 Garching, Germany
| | - Stefano de Miranda
- Department
of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
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22
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Rouleau N, Murugan NJ, Kaplan DL. Functional bioengineered models of the central nervous system. NATURE REVIEWS BIOENGINEERING 2023; 1:252-270. [PMID: 37064657 PMCID: PMC9903289 DOI: 10.1038/s44222-023-00027-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/16/2023] [Indexed: 02/10/2023]
Abstract
The functional complexity of the central nervous system (CNS) is unparalleled in living organisms. Its nested cells, circuits and networks encode memories, move bodies and generate experiences. Neural tissues can be engineered to assemble model systems that recapitulate essential features of the CNS and to investigate neurodevelopment, delineate pathophysiology, improve regeneration and accelerate drug discovery. In this Review, we discuss essential structure-function relationships of the CNS and examine materials and design considerations, including composition, scale, complexity and maturation, of cell biology-based and engineering-based CNS models. We highlight region-specific CNS models that can emulate functions of the cerebral cortex, hippocampus, spinal cord, neural-X interfaces and other regions, and investigate a range of applications for CNS models, including fundamental and clinical research. We conclude with an outlook to future possibilities of CNS models, highlighting the engineering challenges that remain to be overcome.
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Affiliation(s)
- Nicolas Rouleau
- Department of Health Sciences, Wilfrid Laurier University, Waterloo, Ontario Canada
- Department of Biomedical Engineering, Tufts University, Medford, MA USA
| | - Nirosha J. Murugan
- Department of Health Sciences, Wilfrid Laurier University, Waterloo, Ontario Canada
- Department of Biomedical Engineering, Tufts University, Medford, MA USA
| | - David L. Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, MA USA
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23
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Zhang Y, Yu T, Ding J, Li Z. Bone-on-a-chip platforms and integrated biosensors: Towards advanced in vitro bone models with real-time biosensing. Biosens Bioelectron 2023; 219:114798. [PMID: 36257118 DOI: 10.1016/j.bios.2022.114798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/25/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Abstract
Bone diseases, such as osteoporosis and bone defects, often lead to structural and functional deformities of the patient's body. Understanding the complicated pathophysiology and finding new drugs for bone diseases are in dire need but challenging with the conventional cell and animal models. Bone-on-a-chip (BoC) models recapitulate key features of bone at an unprecedented level and can potentially shift the paradigm of future bone research and therapeutic development. Nevertheless, current BoC models predominantly rely on off-chip analysis which provides only endpoint measurements. To this end, integrating biosensors within the BoC can provide non-invasive, continuous monitoring of the experiment progression, significantly facilitating bone research. This review aims to summarize research progress in BoC and biosensor integrations and share perspectives on this exciting but rudimentary research area. We first introduce the research progress of BoC models in the study of bone remodeling and bone diseases, respectively. We then summarize the need for BoC characterization and reported works on biosensor integration in organ chips. Finally, we discuss the limitations and future directions of BoC models and biosensor integrations as next-generation technologies for bone research.
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Affiliation(s)
- Yang Zhang
- School of Dentistry, Health Science Center, Shenzhen University, Shenzhen, 518060, China; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China
| | - Taozhao Yu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China
| | - Jingyi Ding
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China
| | - Zida Li
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
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24
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Hwang M, Lee SJ, Lim CH, Shim EB, Lee HA. The three-dimensionality of the hiPSC-CM spheroid contributes to the variability of the field potential. Front Physiol 2023; 14:1123190. [PMID: 37025386 PMCID: PMC10070703 DOI: 10.3389/fphys.2023.1123190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023] Open
Abstract
Background: Field potential (FP) signals from human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) spheroid which are used for drug safety tests in the preclinical stage are different from action potential (AP) signals and require working knowledge of the multi-electrode array (MEA) system. In this study, we developed in silico three-dimensional (3-D) models of hiPSC-CM spheroids for the simulation of field potential measurement. We compared our model simulation results against in vitro experimental data under the effect of drugs E-4031 and nifedipine. Methods: In silico 3-D models of hiPSC-CM spheroids were constructed in spherical and discoidal shapes. Tetrahedral meshes were generated inside the models, and the propagation of the action potential in the model was obtained by numerically solving the monodomain reaction-diffusion equation. An electrical model of electrode was constructed and FPs were calculated using the extracellular potentials from the AP propagations. The effects of drugs were simulated by matching the simulation results with in vitro experimental data. Results: The simulated FPs from the 3-D models of hiPSC-CM spheroids exhibited highly variable shapes depending on the stimulation and measurement locations. The values of the IC50 of E-4031 and nifedipine calculated by matching the simulated FP durations with in vitro experimental data were in line with the experimentally measured ones reported in the literature. Conclusion: The 3-D in silico models of hiPSC-CM spheroids generated highly variable FPs similar to those observed in in vitro experiments. The in silico model has the potential to complement the interpretation of the FP signals obtained from in vitro experiments.
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Affiliation(s)
| | - Su-Jin Lee
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, Republic of Korea
| | | | - Eun Bo Shim
- AI Medic, Inc., Seoul, Republic of Korea
- Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon, Republic of Korea
- *Correspondence: Eun Bo Shim, ; Hyang-Ae Lee,
| | - Hyang-Ae Lee
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, Republic of Korea
- *Correspondence: Eun Bo Shim, ; Hyang-Ae Lee,
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25
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Montalà-Flaquer M, López-León CF, Tornero D, Houben AM, Fardet T, Monceau P, Bottani S, Soriano J. Rich dynamics and functional organization on topographically designed neuronal networks in vitro. iScience 2022; 25:105680. [PMID: 36567712 PMCID: PMC9768383 DOI: 10.1016/j.isci.2022.105680] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 10/05/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022] Open
Abstract
Neuronal cultures are a prominent experimental tool to understand complex functional organization in neuronal assemblies. However, neurons grown on flat surfaces exhibit a strongly coherent bursting behavior with limited functionality. To approach the functional richness of naturally formed neuronal circuits, here we studied neuronal networks grown on polydimethylsiloxane (PDMS) topographical patterns shaped as either parallel tracks or square valleys. We followed the evolution of spontaneous activity in these cultures along 20 days in vitro using fluorescence calcium imaging. The networks were characterized by rich spatiotemporal activity patterns that comprised from small regions of the culture to its whole extent. Effective connectivity analysis revealed the emergence of spatially compact functional modules that were associated with both the underpinned topographical features and predominant spatiotemporal activity fronts. Our results show the capacity of spatial constraints to mold activity and functional organization, bringing new opportunities to comprehend the structure-function relationship in living neuronal circuits.
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Affiliation(s)
- Marc Montalà-Flaquer
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, E-08028 Barcelona, Spain,Universitat de Barcelona Institute of Complex Systems (UBICS), E-08028 Barcelona, Spain
| | - Clara F. López-León
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, E-08028 Barcelona, Spain,Universitat de Barcelona Institute of Complex Systems (UBICS), E-08028 Barcelona, Spain
| | - Daniel Tornero
- Laboratory of Neural Stem Cells and Brain Damage, Institute of Neurosciences, University of Barcelona, E-08036 Barcelona, Spain
| | - Akke Mats Houben
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, E-08028 Barcelona, Spain,Universitat de Barcelona Institute of Complex Systems (UBICS), E-08028 Barcelona, Spain
| | - Tanguy Fardet
- Laboratoire Matière et Systèmes Complexes, Université de Paris, UMR 7057 CNRS, Paris, France,University of Tübingen, Tübingen, Germany,Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Pascal Monceau
- Laboratoire Matière et Systèmes Complexes, Université de Paris, UMR 7057 CNRS, Paris, France
| | - Samuel Bottani
- Laboratoire Matière et Systèmes Complexes, Université de Paris, UMR 7057 CNRS, Paris, France
| | - Jordi Soriano
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, E-08028 Barcelona, Spain,Universitat de Barcelona Institute of Complex Systems (UBICS), E-08028 Barcelona, Spain,Corresponding author
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26
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Zhou B, Jiang Y, Guo Q, Das A, Sobrido AB, Hing KA, Zayats AV, Krause S. Photoelectrochemical Detection of Calcium Ions Based on Hematite Nanorod Sensors. ACS APPLIED NANO MATERIALS 2022; 5:17087-17094. [PMID: 36466301 PMCID: PMC9706496 DOI: 10.1021/acsanm.2c03978] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/27/2022] [Indexed: 06/17/2023]
Abstract
α-Fe2O3 (hematite) thin films have been shown to be a robust sensor substrate for photoelectrochemical imaging with good stability and high spatial resolution. Herein, one-dimensional (1D) hematite nanorods (NRs) synthesized via a simple hydrothermal method are proposed as a substrate which provides nanostructured surfaces with enhanced photocurrent responses compared to previously described hematite films, good stability, and excellent spatial resolution for potential imaging applications. The photoelectrochemical sensing capability of hematite NRs was demonstrated by a high pH sensitivity without modification. The modification of the hematite NRs with a thin poly(vinyl chloride) (PVC)-based ion-selective film allowed highly reversible amperometric detection of calcium ions with sensor materials traditionally employed in potentiometric devices.
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Affiliation(s)
- Bo Zhou
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
| | - Yunlu Jiang
- Department
of Physics and London Centre for Nanotechnology, King’s College London, Strand, London WC2R 2LS, U.K.
| | - Qian Guo
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
| | - Anirban Das
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
| | - Ana Belén
Jorge Sobrido
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
| | - Karin A. Hing
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
| | - Anatoly V. Zayats
- Department
of Physics and London Centre for Nanotechnology, King’s College London, Strand, London WC2R 2LS, U.K.
| | - Steffi Krause
- School
of Engineering and Materials Science, Queen
Mary University of London, Mile End Road, London E1 4NS, U.K.
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27
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Chung WG, Kim E, Song H, Lee J, Lee S, Lim K, Jeong I, Park JU. Recent Advances in Electrophysiological Recording Platforms for Brain and Heart Organoids. ADVANCED NANOBIOMED RESEARCH 2022. [DOI: 10.1002/anbr.202200081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Won Gi Chung
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Enji Kim
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Hayoung Song
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Jakyoung Lee
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Sanghoon Lee
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Kyeonghee Lim
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Inhea Jeong
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
| | - Jang-Ung Park
- Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea
- Center for Nanomedicine Institute for Basic Science (IBS) Yonsei University Seoul 03722 Republic of Korea
- KIURI Institute Yonsei University Seoul 03722 Republic of Korea
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Conductive fibers for biomedical applications. Bioact Mater 2022; 22:343-364. [PMID: 36311045 PMCID: PMC9588989 DOI: 10.1016/j.bioactmat.2022.10.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/12/2022] [Accepted: 10/07/2022] [Indexed: 11/26/2022] Open
Abstract
Bioelectricity has been stated as a key factor in regulating cell activity and tissue function in electroactive tissues. Thus, various biomedical electronic constructs have been developed to interfere with cell behaviors to promote tissue regeneration, or to interface with cells or tissue/organ surfaces to acquire physiological status via electrical signals. Benefiting from the outstanding advantages of flexibility, structural diversity, customizable mechanical properties, and tunable distribution of conductive components, conductive fibers are able to avoid the damage-inducing mechanical mismatch between the construct and the biological environment, in return to ensure stable functioning of such constructs during physiological deformation. Herein, this review starts by presenting current fabrication technologies of conductive fibers including wet spinning, microfluidic spinning, electrospinning and 3D printing as well as surface modification on fibers and fiber assemblies. To provide an update on the biomedical applications of conductive fibers and fiber assemblies, we further elaborate conductive fibrous constructs utilized in tissue engineering and regeneration, implantable healthcare bioelectronics, and wearable healthcare bioelectronics. To conclude, current challenges and future perspectives of biomedical electronic constructs built by conductive fibers are discussed.
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Chen Y, Du L, Tian Y, Zhu P, Liu S, Liang D, Liu Y, Wang M, Chen W, Wu C. Progress in the Development of Detection Strategies Based on Olfactory and Gustatory Biomimetic Biosensors. BIOSENSORS 2022; 12:858. [PMID: 36290995 PMCID: PMC9599203 DOI: 10.3390/bios12100858] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/01/2022] [Accepted: 10/08/2022] [Indexed: 06/16/2023]
Abstract
The biomimetic olfactory and gustatory biosensing devices have broad applications in many fields, such as industry, security, and biomedicine. The development of these biosensors was inspired by the organization of biological olfactory and gustatory systems. In this review, we summarized the most recent advances in the development of detection strategies for chemical sensing based on olfactory and gustatory biomimetic biosensors. First, sensing mechanisms and principles of olfaction and gustation are briefly introduced. Then, different biomimetic sensing detection strategies are outlined based on different sensing devices functionalized with various molecular and cellular components originating from natural olfactory and gustatory systems. Thereafter, various biomimetic olfactory and gustatory biosensors are introduced in detail by classifying and summarizing the detection strategies based on different sensing devices. Finally, the future directions and challenges of biomimetic biosensing development are proposed and discussed.
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Affiliation(s)
- Yating Chen
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Liping Du
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Yulan Tian
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Ping Zhu
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Shuge Liu
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Dongxin Liang
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Yage Liu
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Miaomiao Wang
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Wei Chen
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
| | - Chunsheng Wu
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education of China, Xi’an 710061, China
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High-throughput rhythmic regulation of cardiomyocytes by integrated electrical stimulation and video-based automated analysis biosensing platform. Biosens Bioelectron 2022; 209:114252. [DOI: 10.1016/j.bios.2022.114252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/02/2022] [Indexed: 11/22/2022]
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Dou W, Malhi M, Cui T, Wang M, Wang T, Shan G, Law J, Gong Z, Plakhotnik J, Filleter T, Li R, Simmons CA, Maynes JT, Sun Y. A Carbon-Based Biosensing Platform for Simultaneously Measuring the Contraction and Electrophysiology of iPSC-Cardiomyocyte Monolayers. ACS NANO 2022; 16:11278-11290. [PMID: 35715006 DOI: 10.1021/acsnano.2c04676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Heart beating is triggered by the generation and propagation of action potentials through the myocardium, resulting in the synchronous contraction of cardiomyocytes. This process highlights the importance of electrical and mechanical coordination in organ function. Investigating the pathogenesis of heart diseases and potential therapeutic actions in vitro requires biosensing technologies which allow for long-term and simultaneous measurement of the contractility and electrophysiology of cardiomyocytes. However, the adoption of current biosensing approaches for functional measurement of in vitro cardiac models is hampered by low sensitivity, difficulties in achieving multifunctional detection, and costly manufacturing processes. Leveraging carbon-based nanomaterials, we developed a biosensing platform that is capable of performing on-chip and simultaneous measurement of contractility and electrophysiology of human induced pluripotent stem-cell-derived cardiomyocyte (iPSC-CM) monolayers. This platform integrates with a flexible thin-film cantilever embedded with a carbon black (CB)-PDMS strain sensor for high-sensitivity contraction measurement and four pure carbon nanotube (CNT) electrodes for the detection of extracellular field potentials with low electrode impedance. Cardiac functional properties including contractile stress, beating rate, beating rhythm, and extracellular field potential were evaluated to quantify iPSC-CM responses to common cardiotropic agents. In addition, an in vitro model of drug-induced cardiac arrhythmia was established to further validate the platform for disease modeling and drug testing.
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Affiliation(s)
- Wenkun Dou
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
| | - Manpreet Malhi
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Biochemistry, University of Toronto, Toronto, M5S 1A8, Canada
| | - Teng Cui
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Minyao Wang
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, M5S 3G9, Canada
- Division of Cardiovascular Surgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5G 1L7, Canada
| | - Tiancong Wang
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Guanqiao Shan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Junhui Law
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Zheyuan Gong
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Julia Plakhotnik
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Biochemistry, University of Toronto, Toronto, M5S 1A8, Canada
| | - Tobin Filleter
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
| | - Renke Li
- Division of Cardiovascular Surgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5G 1L7, Canada
| | - Craig A Simmons
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, M5S 3G9, Canada
- Translational Biology & Engineering Program, Ted Rogers Centre for Heart Research, Toronto, M5G 1M1, Canada
| | - Jason T Maynes
- Program in Molecular Medicine, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
- Department of Biochemistry, University of Toronto, Toronto, M5S 1A8, Canada
- Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, M5G 1X8, Canada
| | - Yu Sun
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, M5S 3G9, Canada
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, M5S 3G4, Canada
- Department of Computer Science, University of Toronto, Toronto, M5T 3A1, Canada
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32
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Leva F, Palestri P, Selmi L. Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210013. [PMID: 35658681 DOI: 10.1098/rsta.2021.0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 10/14/2021] [Indexed: 06/15/2023]
Abstract
Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semiconductor (CMOS). Models of the transduction mechanisms involved in the sensor and recording of the neuron activity are useful to optimize the sensing device architecture and its coupling to the readout circuits, as well as to interpret the measured data. Starting with an overview of recently published integrated active and passive micro/nanoelectrode sensing devices for in vitro studies fabricated with modern (CMOS-based) micro-nano technology, this paper presents a mixed-mode device-circuit numerical-analytical multiscale and multiphysics simulation methodology to describe the neuron-sensor coupling, suitable to derive useful design guidelines. A few representative structures and coupling conditions are analysed in more detail in terms of the most relevant electrical figures of merit including signal-to-noise ratio. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.
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Affiliation(s)
- Federico Leva
- Dipartimento di ingegneria Enzo Ferrari, University of Modena and Reggio Emilia, Modena, Italy
| | - Pierpaolo Palestri
- Polytechnical Department of Engineering and Architecture, University of Udine, Udine, Italy
| | - Luca Selmi
- Dipartimento di ingegneria Enzo Ferrari, University of Modena and Reggio Emilia, Modena, Italy
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33
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Hu M, Zhang J, Liu Y, Zheng X, Li X, Li X, Yang H. Highly Conformal Polymers for Ambulatory Electrophysiological Sensing. Macromol Rapid Commun 2022; 43:e2200047. [PMID: 35419904 DOI: 10.1002/marc.202200047] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 04/09/2022] [Indexed: 11/08/2022]
Abstract
Stable ambulatory electrophysiological sensing is widely utilized for smart e-healthcare monitoring, clinical diagnosis of cardiovascular diseases, treatment of neurological diseases, and intelligent human-machine interaction. As the favorable signal interaction platform of electrophysiological sensing, the conformal property of on-skin electrodes is an extremely crucial factor that can affect the stability of long-term ambulatory electrophysiological sensing. From the perspective of materials, to realize conformal contact between electrodes and skin for stable sensing, highly conformal polymers are strongly demanding and attracting ever-growing attention. In this review, we focused on the recent progress of highly conformal polymers for ambulatory electrophysiological sensing, including their synthetic methods, conformal property, and potential applications. Specifically, three main types of highly conformal polymers for stable long-term electrophysiological signals monitoring were proposed, including nature silk fibroin based conformal polymers, marine mussels bio-inspired conformal polymers, and other conformal polymers such as zwitterionic polymers and polyacrylamide. Furthermore, the future challenges and opportunities of preparing highly conformal polymers for on-skin electrodes were also highlighted. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Mingshuang Hu
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
| | - Jun Zhang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
| | - Yixuan Liu
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
| | - Xinran Zheng
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
| | - Xiangxiang Li
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
| | - Ximing Li
- Chest hospital, Tianjin University, Tianjin, 300072, China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, School of Science, Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300072, China
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34
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Zhang M, Xu D, Fang J, Li H, Li Y, Liu C, Cao N, Hu N. A dynamic and quantitative biosensing assessment for electroporated membrane evolution of cardiomyocytes. Biosens Bioelectron 2022; 202:114016. [DOI: 10.1016/j.bios.2022.114016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/20/2021] [Accepted: 01/15/2022] [Indexed: 11/26/2022]
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35
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Fang J, Liu D, Xu D, Wu Q, Li H, Li Y, Hu N. Integrated Au-Nanoroded Biosensing and Regulating Platform for Photothermal Therapy of Bradyarrhythmia. Research (Wash D C) 2022; 2022:9854342. [PMID: 35233537 PMCID: PMC8848336 DOI: 10.34133/2022/9854342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/18/2022] [Indexed: 12/02/2022] Open
Abstract
Bradyarrhythmia is a kind of cardiovascular disease caused by dysregulation of cardiomyocytes, which seriously threatens human life. Currently, treatment strategies of bradyarrhythmia mainly include drug therapy, surgery, or implantable cardioverter defibrillators, but these strategies are limited by drug side effect, surgical trauma, and instability of implanted devices. Here, we developed an integrated Au-nanoroded biosensing and regulating platform to investigate the photothermal therapy of cardiac bradyarrhythmia in vitro. Au-nanoroded electrode array can simultaneously accumulate energy from the photothermal regulation and monitor the electrophsiological state to restore normal rhythm of cardiomyocytes in real time. To treat the cardiomyocytes cultured on Au-nanoroded device by near-infrared (NIR) laser irradiation, cardiomyocytes return to normal for long term after irradiation of suitable NIR energy and maintenance. Compared with the conventional strategies, the photothermal strategy is more effective and convenient to regulate the cardiomyocytes. Furthermore, mRNA sequencing shows that the differential expression genes in cardiomyocytes are significantly increased after photothermal strategy, which are involved in the regulation of the heart rate, cardiac conduction, and ion transport. This work establishes a promising integrated biosensing and regulating platform for photothermal therapy of bradyarrhythmia in vitro and provides reliable evidence of photothermal regulation on cardiomyocytes for cardiological clinical studies.
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Affiliation(s)
- Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China.,Stoddart Institute of Molecular Science, Department of Chemistry, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China
| | - Dong Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Qianni Wu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Hongbo Li
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China
| | - Ying Li
- Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, Shenzhen 518107, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou 510006, China.,Stoddart Institute of Molecular Science, Department of Chemistry, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.,State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai 200050, China
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36
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Zhang H, Rong G, Bian S, Sawan M. Lab-on-Chip Microsystems for Ex Vivo Network of Neurons Studies: A Review. Front Bioeng Biotechnol 2022; 10:841389. [PMID: 35252149 PMCID: PMC8888888 DOI: 10.3389/fbioe.2022.841389] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Increasing population is suffering from neurological disorders nowadays, with no effective therapy available to treat them. Explicit knowledge of network of neurons (NoN) in the human brain is key to understanding the pathology of neurological diseases. Research in NoN developed slower than expected due to the complexity of the human brain and the ethical considerations for in vivo studies. However, advances in nanomaterials and micro-/nano-microfabrication have opened up the chances for a deeper understanding of NoN ex vivo, one step closer to in vivo studies. This review therefore summarizes the latest advances in lab-on-chip microsystems for ex vivo NoN studies by focusing on the advanced materials, techniques, and models for ex vivo NoN studies. The essential methods for constructing lab-on-chip models are microfluidics and microelectrode arrays. Through combination with functional biomaterials and biocompatible materials, the microfluidics and microelectrode arrays enable the development of various models for ex vivo NoN studies. This review also includes the state-of-the-art brain slide and organoid-on-chip models. The end of this review discusses the previous issues and future perspectives for NoN studies.
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Affiliation(s)
| | | | - Sumin Bian
- CenBRAIN Lab, School of Engineering, Westlake University, Hangzhou, China
| | - Mohamad Sawan
- CenBRAIN Lab, School of Engineering, Westlake University, Hangzhou, China
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37
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Kay MW, Jain V, Panjrath G, Mendelowitz D. Targeting Parasympathetic Activity to Improve Autonomic Tone and Clinical Outcomes. Physiology (Bethesda) 2022; 37:39-45. [PMID: 34486396 PMCID: PMC8742722 DOI: 10.1152/physiol.00023.2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
In this review we will briefly summarize the evidence that autonomic imbalance, more specifically reduced parasympathetic activity to the heart, generates and/or maintains many cardiorespiratory diseases and will discuss mechanisms and sites, from myocytes to the brain, that are potential translational targets for restoring parasympathetic activity and improving cardiorespiratory health.
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Affiliation(s)
- Matthew W. Kay
- 1Department of Biomedical Engineering, George Washington University, Washington, District of Columbia
| | - Vivek Jain
- 2Division of Pulmonary Medicine, Department of Medicine, George Washington University, Washington, District of Columbia
| | - Gurusher Panjrath
- 3Division of Cardiology, Department of Medicine, George Washington University, Washington, District of Columbia
| | - David Mendelowitz
- 4Department of Pharmacology and Physiology, George Washington University, Washington, District of Columbia
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38
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Choi JS, KIM BYUNGGIK, Go G, Kim DH. Sensitivity enhancement of impedance-based cellular biosensor by nanopatterned PEDOT:Nafion interface. Chem Commun (Camb) 2022; 58:10012-10015. [DOI: 10.1039/d2cc01703b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A nanopatterned PEDOT:Nafion composite layer integrated with interdigitated electrodes was developed to improve the device dynamic range and sensitivity for cellular impedance spectroscopy. The nanopattern fidelity to provide cellular alignment...
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39
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Molina-Martínez B, Jentsch LV, Ersoy F, van der Moolen M, Donato S, Ness TV, Heutink P, Jones PD, Cesare P. A multimodal 3D neuro-microphysiological system with neurite-trapping microelectrodes. Biofabrication 2021; 14. [PMID: 34942606 DOI: 10.1088/1758-5090/ac463b] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 12/23/2021] [Indexed: 11/12/2022]
Abstract
Three-dimensional cell technologies as pre-clinical models are emerging tools for mimicking the structural and functional complexity of the nervous system. The accurate exploration of phenotypes in engineered 3D neuronal cultures, however, demands morphological, molecular and especially functional measurements. Particularly crucial is measurement of electrical activity of individual neurons with millisecond resolution. Current techniques rely on customized electrophysiological recording set-ups, characterized by limited throughput and poor integration with other readout modalities. Here we describe a novel approach, using multiwell glass microfluidic microelectrode arrays, allowing non-invasive electrical recording from engineered 3D neural tissues. We demonstrate parallelized studies with reference compounds, calcium imaging and optogenetic stimulation. Additionally, we show how microplate compatibility allows automated handling and high-content analysis of human induced pluripotent stem cell-derived neurons. This microphysiological platform opens up new avenues for high-throughput studies on the functional, morphological and molecular details of neurological diseases and their potential treatment by therapeutic compounds.
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Affiliation(s)
- Beatriz Molina-Martínez
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
| | - Laura-Victoria Jentsch
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
| | - Fulya Ersoy
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
| | - Matthijs van der Moolen
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
| | - Stella Donato
- German Center for Neurodegenerative Diseases (DZNE), Otfried Müller Strasse 23, Tübingen, 72076, GERMANY
| | - Torbjørn V Ness
- Norwegian University of Life Sciences NMBU, Universitetstunet 3, As, 1432, NORWAY
| | - Peter Heutink
- German Center for Neurodegenerative Diseases (DZNE), Otfried Müller Strasse 23, Tübingen, 72076, GERMANY
| | - Peter D Jones
- NMI Natural and Medical Sciences Institute at the University of Tübingen, 72770 Reutlingen (Germany), Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
| | - Paolo Cesare
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Markwiesenstrasse 55, Reutlingen, 72770, GERMANY
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40
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Schmidt S, Haensch T, Frank R, Jahnke HG, Robitzki AA. Reactive Sputtered Silicon Nitride as an Alternative Passivation Layer for Microelectrode Arrays in Sensitive Bioimpedimetric Cell Monitoring. ACS APPLIED MATERIALS & INTERFACES 2021; 13:59185-59195. [PMID: 34851082 DOI: 10.1021/acsami.1c14981] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Microelectrode arrays (MEAs) are widely used to study the behavior of cells noninvasively and in real time. While the design of MEAs focuses mainly on the electrode material or its application-dependent modification, the passivation layer, which is crucial to define the electrode area and to insulate the conducting paths, remains largely unnoticed. Because often most cells are in direct contact with the passivation layer rather than the electrode material, biocompatible photoresists such as SU-8 are almost exclusively used. However, SU-8 is not without limitations in terms of optical transmission, optimal cell support, or compatibility within polymer-based microfluidic lab on chip systems. Here, we established a silicon nitride (SiN) passivation by physical vapor deposition (PVD), which was optimized and evaluated for impedance spectroscopy-based monitoring of cells. Surface characteristics, biocompatibility, and electrical insulation capability were investigated and compared to SU8 in detail. To investigate the influence of the SiN passivation on the impedimetric analysis of cells, HEK-293 A and MCF-7 were chosen as adherent cell models and measured on microelectrodes of 50-200 μm in diameter. The results clearly revealed an overall suitability of SiN as alternative passivation. While for the smallest electrode size a cell line dependent comparable or slightly decreased cell signal could be observed in comparison with SU-8, a significant higher cell signal was observed for microelectrodes larger than 50 μm in diameter. Furthermore, a high suitability for the bonding of PEGDA and PDMS microfluidic structures on the SiN passivation layer without any leakage could be demonstrated.
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Affiliation(s)
- Sabine Schmidt
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, D-04103 Leipzig, Germany
| | - Tobias Haensch
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, D-04103 Leipzig, Germany
| | - Ronny Frank
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, D-04103 Leipzig, Germany
| | - Heinz-Georg Jahnke
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, D-04103 Leipzig, Germany
| | - Andrea A Robitzki
- Centre for Biotechnology and Biomedicine, Molecular Biological-Biochemical Processing Technology, Leipzig University, Deutscher Platz 5, D-04103 Leipzig, Germany
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Vasu S, Zhou J, Chen J, Johnston PV, Kim DH. Biomaterials-based Approaches for Cardiac Regeneration. Korean Circ J 2021; 51:943-960. [PMID: 34854577 PMCID: PMC8636758 DOI: 10.4070/kcj.2021.0291] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 09/08/2021] [Indexed: 12/29/2022] Open
Abstract
Cardiovascular disease is a prevalent cause of mortality and morbidity, largely due to the limited ability of cardiomyocytes to proliferate. Existing therapies for cardiac regeneration include cell-based therapies and bioactive molecules. However, delivery remains one of the major challenges impeding such therapies from having significant clinical impact. Recent advancements in biomaterials-based approaches for cardiac regeneration have shown promise in improving cardiac function, promoting angiogenesis, and reducing adverse immune response in both human clinical trials and animal studies. These advances in therapeutic delivery via extracellular vesicles, cardiac patches, and hydrogels have the potential to enable clinical impact of cardiac regeneration therapies. The limited ability of cardiomyocytes to proliferate is a major cause of mortality and morbidity in cardiovascular diseases. There exist therapies for cardiac regeneration that are cell-based as well as that involve bioactive molecules. However, delivery remains one of the major challenges impeding such therapies from having clinical impact. Recent advancements in biomaterials-based approaches for cardiac regeneration have shown promise in clinical trials and animal studies in improving cardiac function, promoting angiogenesis, and reducing adverse immune response. This review will focus on current clinical studies of three contemporary biomaterials-based approaches for cardiac regeneration (extracellular vesicles, injectable hydrogels, and cardiac patches), remaining challenges and shortcomings to be overcome, and future directions for the use of biomaterials to promote cardiac regeneration.
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Affiliation(s)
- Samhita Vasu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Justin Zhou
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jeffrey Chen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Peter V Johnston
- Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Deok-Ho Kim
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.,Division of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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Guimerà-Brunet A, Masvidal-Codina E, Cisneros-Fernández J, Serra-Graells F, Garrido JA. Novel transducers for high-channel-count neuroelectronic recording interfaces. Curr Opin Biotechnol 2021; 72:39-47. [PMID: 34695765 DOI: 10.1016/j.copbio.2021.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/12/2023]
Abstract
Neuroelectronic interfaces with the nervous system are an essential technology in state-of-the-art neuroscience research aiming to uncover the fundamental working mechanisms of the brain. Progress towards increased spatio-temporal resolution has been tightly linked to the advance of microelectronics technology and novel materials. Translation of these technologies to neuroscience has resulted in multichannel neural probes and acquisition systems enabling the recording of brain signals using thousands of channels. This review provides an overview of state-of-the-art neuroelectronic technologies, with emphasis on recording site architectures which enable the implementation of addressable arrays for high-channel-count neural interfaces. In this field, active transduction mechanisms are gaining importance fueled by novel materials, as they facilitate the implementation of high density addressable arrays.
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Affiliation(s)
- Anton Guimerà-Brunet
- Institut de Microelectrònica de Barcelona, IMB-CNM (CSIC), Esfera UAB, Bellaterra, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Eduard Masvidal-Codina
- Institut de Microelectrònica de Barcelona, IMB-CNM (CSIC), Esfera UAB, Bellaterra, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | | | - Francesc Serra-Graells
- Institut de Microelectrònica de Barcelona, IMB-CNM (CSIC), Esfera UAB, Bellaterra, Spain; Universitat Autònoma de Barcelona, Spain
| | - Jose A Garrido
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and The Barcelona Institute of Science and Technology (BIST), Campus UAB, Bellaterra, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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Zhu M, Wang H, Li S, Liang X, Zhang M, Dai X, Zhang Y. Flexible Electrodes for In Vivo and In Vitro Electrophysiological Signal Recording. Adv Healthc Mater 2021; 10:e2100646. [PMID: 34050635 DOI: 10.1002/adhm.202100646] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 05/10/2021] [Indexed: 12/19/2022]
Abstract
A variety of electrophysiological signals (electrocardiography, electromyography, electroencephalography, etc.) are generated during the physiological activities of human bodies, which can be collected by electrodes and thus provide critical insights into health status or facilitate fundamental scientific research. The long-term stable and high-quality recording of electrophysiological signals is the premise for their further applications, leading to demands for flexible electrodes with similar mechanical modulus and minimized irritation to human bodies. This review summarizes the latest advances in flexible electrodes for the acquisition of various electrophysiological signals. First, the concept of electrophysiological signals and the characteristics of different subcategory signals are introduced. Second, the invasive and noninvasive methods are reviewed for electrophysiological signal recording with a highlight on the design of flexible electrodes, followed by a discussion on their material selection. Subsequently, the applications of the electrophysiological signal acquisition in pathological diagnosis and restoration of body functions are discussed, showing the advantages of flexible electrodes. Finally, the main challenges and opportunities in this field are discussed. It is believed that the further exploration of materials for flexible electrodes and the combination of multidisciplinary technologies will boost the applications of flexible electrodes for medical diagnosis and human-machine interface.
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Affiliation(s)
- Mengjia Zhu
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
| | - Huimin Wang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
| | - Shuo Li
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
| | - Xiaoping Liang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
| | - Mingchao Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
| | - Xiaochuan Dai
- Department of Biomedical Engineering School of Medicine Tsinghua University Beijing 100084 P. R. China
| | - Yingying Zhang
- Key Laboratory of Organic Optoelectronics and Molecular Engineering of the Ministry of Education Department of Chemistry Tsinghua University Beijing 100084 P. R. China
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Xu D, Fang J, Zhang M, Wang H, Zhang T, Hang T, Xie X, Hu N. Synchronized intracellular and extracellular recording of action potentials by three-dimensional nanoroded electroporation. Biosens Bioelectron 2021; 192:113501. [PMID: 34273736 DOI: 10.1016/j.bios.2021.113501] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 06/26/2021] [Accepted: 07/10/2021] [Indexed: 01/08/2023]
Abstract
Electrophysiological study is an essential and significant strategy to explore the biological mechanism of electrogenic cells. Current advanced nanodevices can achieve the high-fidelity intracellular electrophysiological recordings, and most of detection systems record the extracellular and intracellular action potentials (EAPs and IAPs) in an asynchronous or isolated manner, so it is demanded to develop the platform to reveal correlation between EAP and IAP recording. Here, we establish a utility strategy to achieve synchronized intracellular and extracellular recording of neonatal rat cardiomyocytes by low-voltage three-dimensional (3D) nanoroded electroporation. By integrating the advantages of nanodevice and microdevice, 3D nanoroded microdevice is developed to achieve the high-throughput large-scale synchronous intracellular and extracellular electrophysiological study. By applying low-voltage electroporation, intracellular and extracellular signals can be synchronously acquired from intracellular access and extracellular coupling, respectively. Recorded synchronized signals contain both typical EAPs and IAPs, which have good synchronicity in spatiotemporal dimensions at each recording site. Moreover, correlation between both signals is further bridged in experimental and simulated way. This intracellular electrophysiological platform presents unique advantages over the conventional system to achieve the synchronized intracellular and extracellular electrophysiological study at membrane voltage level.
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Affiliation(s)
- Dongxin Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China; State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China
| | - Jiaru Fang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Mingyue Zhang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Hao Wang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Tao Zhang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510006, China
| | - Tian Hang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ning Hu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, China; State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
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Grob L, Rinklin P, Zips S, Mayer D, Weidlich S, Terkan K, Weiß LJK, Adly N, Offenhäusser A, Wolfrum B. Inkjet-Printed and Electroplated 3D Electrodes for Recording Extracellular Signals in Cell Culture. SENSORS (BASEL, SWITZERLAND) 2021; 21:3981. [PMID: 34207725 PMCID: PMC8229631 DOI: 10.3390/s21123981] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/04/2021] [Accepted: 06/06/2021] [Indexed: 02/07/2023]
Abstract
Recent investigations into cardiac or nervous tissues call for systems that are able to electrically record in 3D as opposed to 2D. Typically, challenging microfabrication steps are required to produce 3D microelectrode arrays capable of recording at the desired position within the tissue of interest. As an alternative, additive manufacturing is becoming a versatile platform for rapidly prototyping novel sensors with flexible geometric design. In this work, 3D MEAs for cell-culture applications were fabricated using a piezoelectric inkjet printer. The aspect ratio and height of the printed 3D electrodes were user-defined by adjusting the number of deposited droplets of silver nanoparticle ink along with a continuous printing method and an appropriate drop-to-drop delay. The Ag 3D MEAs were later electroplated with Au and Pt in order to reduce leakage of potentially cytotoxic silver ions into the cellular medium. The functionality of the array was confirmed using impedance spectroscopy, cyclic voltammetry, and recordings of extracellular potentials from cardiomyocyte-like HL-1 cells.
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Affiliation(s)
- Leroy Grob
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Philipp Rinklin
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Sabine Zips
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Dirk Mayer
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Sabrina Weidlich
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Korkut Terkan
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Lennart J. K. Weiß
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Nouran Adly
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
| | - Andreas Offenhäusser
- Institute of Biological Information Processing (IBI-3), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; (D.M.); (S.W.); (A.O.)
| | - Bernhard Wolfrum
- Neuroelectronics, Department of Electrical and Computer Engineering, MSB, MSRM, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany; (L.G.); (P.R.); (S.Z.); (K.T.); (L.J.K.W.); (N.A.)
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Wang J, Chen F, Guo Q, Meng Y, Jiang M, Wu C, Zhuang J, Zhang DW. Light-Addressable Square Wave Voltammetry (LASWV) Based on a Field-Effect Structure for Electrochemical Sensing and Imaging. ACS Sens 2021; 6:1636-1642. [PMID: 33832225 DOI: 10.1021/acssensors.1c00170] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Here, we describe a new photoelectrochemical imaging method termed light-addressable square wave voltammetry (LASWV). It measures local SWV currents at an unstructured electrolyte/insulator/semiconductor (EIS) field-effect substrate by illuminating and addressing the substrate with an intensity-constant laser. Due to the continuous generation of charge carriers in the light-irradiated semiconductor, the drift and diffusion of photoinjected carriers within the semiconductor bulk would slow down the equilibrium processes of charge and discharge in one potential pulse cycle. Therefore, even though SWV is sampled at the end of the direct and reverse pulses to reject capacitive currents, in our approach, photoinduced capacitive current can still be detected as an effective sensory signal. The obtained current-potential (I-V) curve shows a typical shape corresponding to the accumulation, depletion, and inversion regions of field-effect devices. We demonstrated that LASWV can be used as a field-effect chemical sensor to measure the solution pH and monitor enzymatic reactions. More importantly, since the charge carriers are only generated in the illuminated area, the laser spot in the device can be used as a virtual probe to record local electrochemical properties such as impedance with microresolution.
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Affiliation(s)
- Jian Wang
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education of China, Xi’an 710061, China
| | - Fangming Chen
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Qin Guo
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Yao Meng
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Mingrui Jiang
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Chunsheng Wu
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
| | - Jian Zhuang
- Key Laboratory of Education Ministry for Modern Design Rotor-Bearing System, Xi’an Jiaotong University, Xi’an 710049, China
- School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - De-Wen Zhang
- Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi’an Jiaotong University), Ministry of Education of China, Xi’an 710061, China
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Choi JS, Tsui JH, Xu F, Lee SH, Lee HJ, Wang C, Kim HJ, Kim DH. Fabrication of nanomolded Nafion thin films with tunable mechanical and electrical properties using thermal evaporation-induced capillary force lithography. ADVANCED MATERIALS INTERFACES 2021; 8:2002005. [PMID: 33996383 PMCID: PMC8115721 DOI: 10.1002/admi.202002005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Indexed: 06/12/2023]
Abstract
In this paper, we report a simple and facile method to fabricate nanomolded Nafion thin films with tunable mechanical, and electrical properties. To achieve this, we combine a novel thermal evaporation-induced capillary force lithography method with swelling process to obtain enhanced pattern fidelity in nanomolded Nafion films. We demonstrate that structural fidelity and mechanical properties of patterned Nafion thin films can be modulated by changing fabrication parameters such as swelling time, Nafion polymer concentration, and curing temperature. Interestingly, we also find that impedance properties of nanomolded Nafion thin films are associated with the Nafion polymer concentration and curing temperature. In particular, 20% Nafion thin films exhibit greater impedance stability and lower impedance values than 5% Nafion thin films at lower frequencies. Moreover, curing temperature-specific impedance changes are observed. These results suggest that capillary lithography can be used to fabricate Nafion nanostructures with high pattern fidelity capable of modifying mechanical and electrical properties of Nafion thin films.
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Affiliation(s)
- Jong Seob Choi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Jonathan H Tsui
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Fei Xu
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Su Han Lee
- Digital Healthcare Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk 39253, Republic of Korea
| | - Heon Joon Lee
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Chao Wang
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Hyung Jin Kim
- Digital Healthcare Research Center, Gumi Electronics and Information Technology Research Institute (GERI), 350-27, Gumidaero, Gumi, Gyeongbuk 39253, Republic of Korea
| | - Deok-Ho Kim
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, United States
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