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Park B, Bang S, Hwang KS, Cha YK, Kwak J, Tran NL, Kim HS, Park S, Oh SJ, Im M, Chung S, Kim J, Park TH, Song HS, Kim HN, Kim JH. Eye-Mimicked Neural Network Composed of Photosensitive Neural Spheroids with Human Opsin Proteins. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2302996. [PMID: 37377148 DOI: 10.1002/adma.202302996] [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: 03/31/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 06/29/2023]
Abstract
An in vitro model, composed of the short-wavelength human opsins and rhodopsins, is created. Two types of photosensitive neural spheroids are transfected for selective reaction under bluish-purple and green lights. These are employed to two devices with intact neuron and neural-spheroid to study the interaction. By photostimulation, the photosensitive spheroid initiated photoactivation, and the signal generated from its body is transmitted to adjacent neural networks. Specifically, the signal traveled through the axon bundle in narrow gap from photosensitive spheroid to intact spheroid as an eye-to-brain model including optic nerve. The whole process with photosensitive spheroid is monitored by calcium ion detecting fluorescence images. The results of this study can be applied to examine vision restoration and novel photosensitive biological systems with spectral sensitivity.
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Affiliation(s)
- Byeongho Park
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Seokyoung Bang
- Department of Biomedical Engineering, Dongguk University, Goyang, 10326, Republic of Korea
| | - Kyeong Seob Hwang
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Yeon Kyung Cha
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Jisung Kwak
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Na Ly Tran
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul, 02792, Republic of Korea
| | - Hyo-Suk Kim
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Subeen Park
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Seung Ja Oh
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul, 02792, Republic of Korea
| | - Maesoon Im
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Sooyoung Chung
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Jongbaeg Kim
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Tai Hyun Park
- Department of Nutritional Science and Food Management, Ewha Womans University, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Hyun Seok Song
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Hong Nam Kim
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology, Seoul, 02792, Republic of Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jae Hun Kim
- Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
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Jeong S, Kang HW, Kim SH, Hong GS, Nam MH, Seong J, Yoon ES, Cho IJ, Chung S, Bang S, Kim HN, Choi N. Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation. SCIENCE ADVANCES 2023; 9:eadf0925. [PMID: 36897938 PMCID: PMC10005277 DOI: 10.1126/sciadv.adf0925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Anisotropically organized neural networks are indispensable routes for functional connectivity in the brain, which remains largely unknown. While prevailing animal models require additional preparation and stimulation-applying devices and have exhibited limited capabilities regarding localized stimulation, no in vitro platform exists that permits spatiotemporal control of chemo-stimulation in anisotropic three-dimensional (3D) neural networks. We present the integration of microchannels seamlessly into a fibril-aligned 3D scaffold by adapting a single fabrication principle. We investigated the underlying physics of elastic microchannels' ridges and interfacial sol-gel transition of collagen under compression to determine a critical window of geometry and strain. We demonstrated the spatiotemporally resolved neuromodulation in an aligned 3D neural network by local deliveries of KCl and Ca2+ signal inhibitors, such as tetrodotoxin, nifedipine, and mibefradil, and also visualized Ca2+ signal propagation with a speed of ~3.7 μm/s. We anticipate that our technology will pave the way to elucidate functional connectivity and neurological diseases associated with transsynaptic propagation.
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Affiliation(s)
- Sohyeon Jeong
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology (UST), Seoul 02792, Korea
- MEPSGEN Co. Ltd., Seoul 05836, Korea
| | - Hyun Wook Kang
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- School of Mechanical Engineering, Korea University, Seoul 02841, Korea
| | - So Hyun Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- SK Biopharmaceuticals Co. Ltd., Seongnam 13494, Korea
| | - Gyu-Sang Hong
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - Min-Ho Nam
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
| | - Jihye Seong
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology (UST), Seoul 02792, Korea
- Department of Life Sciences, Korea University, Seoul 02841, Korea
- KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02453, Korea
| | - Eui-Sung Yoon
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- Division of Nano and Information Technology, KIST School, University of Science and Technology (UST), Seoul 02792, Korea
| | - Il-Joo Cho
- Department of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea
- Department of Anatomy, College of Medicine, Korea University, Seoul 02841, Korea
| | - Seok Chung
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- School of Mechanical Engineering, Korea University, Seoul 02841, Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Korea
| | - Seokyoung Bang
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- Department of Medical Biotechnology, Dongguk University, Goyang 10326, Korea
| | - Hong Nam Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology (UST), Seoul 02792, Korea
- School of Mechanical Engineering, Yonsei University, Seoul 03722, Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul 03722, Korea
| | - Nakwon Choi
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Korea
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Seo Y, Bang S, Son J, Kim D, Jeong Y, Kim P, Yang J, Eom JH, Choi N, Kim HN. Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain. Bioact Mater 2022; 13:135-148. [PMID: 35224297 PMCID: PMC8843968 DOI: 10.1016/j.bioactmat.2021.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/01/2021] [Accepted: 11/06/2021] [Indexed: 12/12/2022] Open
Abstract
In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico models have emerged. These models are time-efficient and cost-effective, but the prediction of adverse reactions to unknown drugs using these models requires relevant experimental input. Accordingly, the physiome concept has emerged to bridge experimental datasets with in silico models. The brain physiome describes the systemic interactions of its components, which are organized into a multilevel hierarchy. Because of the limitations in obtaining experimental data corresponding to each physiome component from 2D in vitro models and animal models, 3D in vitro brain models, including brain organoids and brain-on-a-chip, have been developed. In this review, we present the concept of the brain physiome and its hierarchical organization, including cell- and tissue-level organizations. We also summarize recently developed 3D in vitro brain models and link them with the elements of the brain physiome as a guideline for dataset collection. The connection between in vitro 3D brain models and in silico modeling will lead to the establishment of cost-effective and time-efficient in silico models for the prediction of the safety of unknown drugs.
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Affiliation(s)
- Yoojin Seo
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Seokyoung Bang
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Jeongtae Son
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Dongsup Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Pilnam Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jihun Yang
- Next&Bio Inc., Seoul, 02841, Republic of Korea
| | - Joon-Ho Eom
- Medical Device Research Division, National Institute of Food and Drug Safety Evaluation, Cheongju, 28159, Republic of Korea
| | - Nakwon Choi
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Seoul, 02792, Republic of Korea
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea
| | - Hong Nam Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology (UST), Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, 03722, Republic of Korea
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Bang S, Lee S, Hwang KS, Kim J, Choi N, Kim HN. Three-Dimensional Axotomy and Regeneration on Open-Access Microfluidic Platform. IEEE Trans Nanobioscience 2021; 21:395-404. [PMID: 34941516 DOI: 10.1109/tnb.2021.3136869] [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] [Indexed: 11/11/2022]
Abstract
An increasing number of patients are suffering from central nervous system (CNS) injury, including spinal cord injury. However, no suitable treatment is available for such patients as yet. Various platforms have been utilized to recapitulate CNS injuries. However, animal models and in vitro two-dimensional (2D)-based cell culture platforms have limitations, such as genetic heterogeneity and loss of the neural-circuit ultrastructure. To overcome these limitations, we developed a method for performing axotomy on an open-access three-dimensional (3D) neuron-culture platform. In this platform, the 3D alignment of axons in the brain tissue was recapitulated. For direct access to the cultured axons, the bottom of the 3D neuron-culture device was disassembled, enabling exposure of the neuron-laden Matrigel to the outside. The mechanical damage to the axons was recapitulated by puncturing the neuron-laden Matrigel using a pin. Thus, precise axotomy of three-dimensionally aligned axons could be performed. Furthermore, it was possible to fill the punctuated area by re-injecting Matrigel. Consequently, neurites regenerated into re-injected Matrigel. Moreover, it was confirmed that astrocytes can be co-cultured on this open-access platform without interfering with the axon alignment. The proposed open-access platform is expected to be useful for developing treatment techniques for CNS injuries.
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