1
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Yoon D, Nam Y. A 3D neuronal network read-out interface with high recording performance using a neuronal cluster patterning on a microelectrode array. Biosens Bioelectron 2024; 261:116507. [PMID: 38905857 DOI: 10.1016/j.bios.2024.116507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/27/2024] [Accepted: 06/15/2024] [Indexed: 06/23/2024]
Abstract
In recent years, in vitro three-dimensional (3D) neuronal network models utilizing extracellular matrices have been advancing. To understand the network activity from these models, attempts have been made to measure activity in multiple regions simultaneously using a microelectrode array (MEA). Although there hve been many attempts to measure the activity of 3D networks using 2-dimensional (2D) MEAs, the physical coupling between the 3D network and the microelectrodes was not stable and needed to be improved. In this study, we proposed a neuronal cluster interface that improves the active channel ratio of commercial 2D MEAs, enabling reliable measurement of 3D network activity. To achieve this, neuronal clusters, which consist of a small number of neurons, were patterned on microelectrodes and used as mediators to transmit the signal between the 3D network and the microelectrodes. We confirmed that the patterned neuronal clusters enhanced the active channel ratio and SNR(signal-to-noise-ratio) about 3D network recording and stimulation for a month. Our interface was able to functionally connect with 3D networks and measure the 3D network activity without significant alternation of activity characteristics. Finally, we demonstrated that our interface can be used to analyze the differences in the dynamics of 3D and 2D networks and to construct the 3D clustered network. This method is expected to be useful for studying the functional activity of various 3D neuronal network models, offering broad applications for the use of these models.
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Affiliation(s)
- Dongjo Yoon
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Yoonkey Nam
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
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2
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Zhang X, Dou Z, Kim SH, Upadhyay G, Havert D, Kang S, Kazemi K, Huang K, Aydin O, Huang R, Rahman S, Ellis‐Mohr A, Noblet HA, Lim KH, Chung HJ, Gritton HJ, Saif MTA, Kong HJ, Beggs JM, Gazzola M. Mind In Vitro Platforms: Versatile, Scalable, Robust, and Open Solutions to Interfacing with Living Neurons. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306826. [PMID: 38161217 PMCID: PMC10953569 DOI: 10.1002/advs.202306826] [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: 09/18/2023] [Revised: 12/12/2023] [Indexed: 01/03/2024]
Abstract
Motivated by the unexplored potential of in vitro neural systems for computing and by the corresponding need of versatile, scalable interfaces for multimodal interaction, an accurate, modular, fully customizable, and portable recording/stimulation solution that can be easily fabricated, robustly operated, and broadly disseminated is presented. This approach entails a reconfigurable platform that works across multiple industry standards and that enables a complete signal chain, from neural substrates sampled through micro-electrode arrays (MEAs) to data acquisition, downstream analysis, and cloud storage. Built-in modularity supports the seamless integration of electrical/optical stimulation and fluidic interfaces. Custom MEA fabrication leverages maskless photolithography, favoring the rapid prototyping of a variety of configurations, spatial topologies, and constitutive materials. Through a dedicated analysis and management software suite, the utility and robustness of this system are demonstrated across neural cultures and applications, including embryonic stem cell-derived and primary neurons, organotypic brain slices, 3D engineered tissue mimics, concurrent calcium imaging, and long-term recording. Overall, this technology, termed "mind in vitro" to underscore the computing inspiration, provides an end-to-end solution that can be widely deployed due to its affordable (>10× cost reduction) and open-source nature, catering to the expanding needs of both conventional and unconventional electrophysiology.
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Affiliation(s)
- Xiaotian Zhang
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Zhi Dou
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Seung Hyun Kim
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Gaurav Upadhyay
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Daniel Havert
- Department of PhysicsIndiana University BloomingtonBloomingtonIN47405USA
| | - Sehong Kang
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Kimia Kazemi
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Kai‐Yu Huang
- Department of Chemical and Biomolecular EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Onur Aydin
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Raymond Huang
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Saeedur Rahman
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Austin Ellis‐Mohr
- Department of Electrical and Computer EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Hayden A. Noblet
- Molecular and Integrative PhysiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Neuroscience ProgramUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Ki H. Lim
- Molecular and Integrative PhysiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Hee Jung Chung
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Molecular and Integrative PhysiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Neuroscience ProgramUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Beckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Howard J. Gritton
- Beckman Institute for Advanced Science and TechnologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Department of Comparative BiosciencesUniversity of Illinois at Urbana–ChampaignUrbanaIL61802USA
| | - M. Taher A. Saif
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - Hyun Joon Kong
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Department of Chemical and Biomolecular EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
| | - John M. Beggs
- Department of PhysicsIndiana University BloomingtonBloomingtonIN47405USA
| | - Mattia Gazzola
- Carl R. Woese Institute for Genomic BiologyUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
- Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaIL61801USA
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3
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Yan Y, Li X, Gao Y, Mathivanan S, Kong L, Tao Y, Dong Y, Li X, Bhattacharyya A, Zhao X, Zhang SC. 3D bioprinting of human neural tissues with functional connectivity. Cell Stem Cell 2024; 31:260-274.e7. [PMID: 38306994 PMCID: PMC10883639 DOI: 10.1016/j.stem.2023.12.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 11/01/2023] [Accepted: 12/11/2023] [Indexed: 02/04/2024]
Abstract
Probing how human neural networks operate is hindered by the lack of reliable human neural tissues amenable to the dynamic functional assessment of neural circuits. We developed a 3D bioprinting platform to assemble tissues with defined human neural cell types in a desired dimension using a commercial bioprinter. The printed neuronal progenitors differentiate into neurons and form functional neural circuits within and between tissue layers with specificity within weeks, evidenced by the cortical-to-striatal projection, spontaneous synaptic currents, and synaptic response to neuronal excitation. Printed astrocyte progenitors develop into mature astrocytes with elaborated processes and form functional neuron-astrocyte networks, indicated by calcium flux and glutamate uptake in response to neuronal excitation under physiological and pathological conditions. These designed human neural tissues will likely be useful for understanding the wiring of human neural networks, modeling pathological processes, and serving as platforms for drug testing.
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Affiliation(s)
- Yuanwei Yan
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Xueyan Li
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Yu Gao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Sakthikumar Mathivanan
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - Linghai Kong
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Yunlong Tao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - Yi Dong
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Xiang Li
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Anita Bhattacharyya
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Su-Chun Zhang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA; Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Department of Neurology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA; Program in Neuroscience and Behavioral Disorders, Duke-NUS Medical School, Singapore, Singapore; GK Goh Centre for Neuroscience, Duke-NUS Medical School, Singapore, Singapore; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815.
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4
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Yan Y, Li X, Gao Y, Mathivanan S, Kong L, Tao Y, Dong Y, Li X, Bhattacharyya A, Zhao X, Zhang SC. 3D Bioprinting of Human Neural Tissues with Functional Connectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.18.576289. [PMID: 38328181 PMCID: PMC10849546 DOI: 10.1101/2024.01.18.576289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Probing how the human neural networks operate is hindered by the lack of reliable human neural tissues amenable for dynamic functional assessment of neural circuits. We developed a 3D bioprinting platform to assemble tissues with defined human neural cell types in a desired dimension using a commercial bioprinter. The printed neuronal progenitors differentiate to neurons and form functional neural circuits in and between tissue layers with specificity within weeks, evidenced by the cortical-to-striatal projection, spontaneous synaptic currents and synaptic response to neuronal excitation. Printed astrocyte progenitors develop into mature astrocytes with elaborated processes and form functional neuron-astrocyte networks, indicated by calcium flux and glutamate uptake in response to neuronal excitation under physiological and pathological conditions. These designed human neural tissues will likely be useful for understanding the wiring of human neural networks, modeling pathological processes, and serving as platforms for drug testing.
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5
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Yao Y, Coleman HA, Meagher L, Forsythe JS, Parkington HC. 3D Functional Neuronal Networks in Free-Standing Bioprinted Hydrogel Constructs. Adv Healthc Mater 2023; 12:e2300801. [PMID: 37369123 DOI: 10.1002/adhm.202300801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 06/29/2023]
Abstract
The composition, elasticity, and organization of the extracellular matrix within the central nervous system contribute to the architecture and function of the brain. From an in vitro modeling perspective, soft biomaterials are needed to mimic the 3D neural microenvironments. While many studies have investigated 3D culture and neural network formation in bulk hydrogel systems, these approaches have limited ability to position cells to mimic sophisticated brain architectures. In this study, cortical neurons and astrocytes acutely isolated from the brains of rats are bioprinted in a hydrogel to form 3D neuronal constructs. Successful bioprinting of cellular and acellular strands in a multi-bioink approach allows the subsequent formation of gray- and white-matter tracts reminiscent of cortical structures. Immunohistochemistry shows the formation of dense, 3D axon networks. Calcium signaling and extracellular electrophysiology in these 3D neuronal networks confirm spontaneous activity in addition to evoked activities under pharmacological and electrical stimulation. The system and bioprinting approaches are capable of fabricating soft, free-standing neuronal structures of different bioink and cell types with high resolution and throughput, which provide a promising platform for understanding fundamental questions of neural networks, engineering neuromorphic circuits, and for in vitro drug screening.
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Affiliation(s)
- Yue Yao
- Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
- School of Physics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Harold A Coleman
- Department of Physiology, Monash University, Clayton, VIC, 3800, Australia
| | - Laurence Meagher
- Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
- ARC Training Centre for Cell and Tissue Engineering Technologies, Monash University, Clayton, VIC, 3800, Australia
| | - John S Forsythe
- Department of Materials Science and Engineering, Monash University, Clayton, VIC, 3800, Australia
- ARC Training Centre for Cell and Tissue Engineering Technologies, Monash University, Clayton, VIC, 3800, Australia
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6
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Cable J, Arlotta P, Parker KK, Hughes AJ, Goodwin K, Mummery CL, Kamm RD, Engle SJ, Tagle DA, Boj SF, Stanton AE, Morishita Y, Kemp ML, Norfleet DA, May EE, Lu A, Bashir R, Feinberg AW, Hull SM, Gonzalez AL, Blatchley MR, Montserrat Pulido N, Morizane R, McDevitt TC, Mishra D, Mulero-Russe A. Engineering multicellular living systems-a Keystone Symposia report. Ann N Y Acad Sci 2022; 1518:183-195. [PMID: 36177947 PMCID: PMC9771928 DOI: 10.1111/nyas.14896] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The ability to engineer complex multicellular systems has enormous potential to inform our understanding of biological processes and disease and alter the drug development process. Engineering living systems to emulate natural processes or to incorporate new functions relies on a detailed understanding of the biochemical, mechanical, and other cues between cells and between cells and their environment that result in the coordinated action of multicellular systems. On April 3-6, 2022, experts in the field met at the Keystone symposium "Engineering Multicellular Living Systems" to discuss recent advances in understanding how cells cooperate within a multicellular system, as well as recent efforts to engineer systems like organ-on-a-chip models, biological robots, and organoids. Given the similarities and common themes, this meeting was held in conjunction with the symposium "Organoids as Tools for Fundamental Discovery and Translation".
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Affiliation(s)
| | - Paola Arlotta
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Kevin Kit Parker
- Wyss Institute for Biologically Inspired Engineering and John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
| | - Alex J Hughes
- Department of Bioengineering, School of Engineering and Applied Science and Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Katharine Goodwin
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA
| | - Christine L Mummery
- Department of Anatomy and Embryology and LUMC hiPSC Hotel, Leiden University Medical Center, Leiden, the Netherlands
| | - Roger D Kamm
- Department of Mechanical Engineering and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Sandra J Engle
- Translational Biology, Biogen, Cambridge, Massachusetts, USA
| | - Danilo A Tagle
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA
| | - Sylvia F Boj
- Hubrecht Organoid Technology (HUB), Utrecht, the Netherlands
| | - Alice E Stanton
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Yoshihiro Morishita
- Laboratory for Developmental Morphogeometry, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan
- Precursory Research for Embryonic Science and Technology (PRESTO) Program, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Melissa L Kemp
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
| | - Dennis A Norfleet
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
| | - Elebeoba E May
- Department of Biomedical Engineering and HEALTH Research Institute, University of Houston, Houston, Texas, USA
- Wisconsin Institute of Discovery and Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Aric Lu
- Wyss Institute for Biologically Inspired Engineering and John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
- Draper Laboratory, Biological Engineering Division, Cambridge, Massachusetts, USA
| | - Rashid Bashir
- Beckman Institute for Advanced Science and Technology, Urbana, Illinois, USA
- Holonyak Micro & Nanotechnology Laboratory, Department of Electrical and Computer Engineering and Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Adam W Feinberg
- Department of Biomedical Engineering and Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Sarah M Hull
- Department of Chemical Engineering, Stanford University, Stanford, California, USA
| | - Anjelica L Gonzalez
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA
| | - Michael R Blatchley
- BioFrontiers Institute and Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA
| | | | - Ryuji Morizane
- Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Todd C McDevitt
- The Gladstone Institutes and Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA
| | - Deepak Mishra
- Department of Biological Engineering, Synthetic Biology Center, Cambridge, Massachusetts, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Adriana Mulero-Russe
- Parker H. Petit Institute for Bioengineering and Bioscience and School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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7
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High throughput 3D gel-based neural organotypic model for cellular assays using fluorescence biosensors. Commun Biol 2022; 5:1236. [PMID: 36371462 PMCID: PMC9653447 DOI: 10.1038/s42003-022-04177-z] [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: 02/25/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022] Open
Abstract
Three-dimensional (3D) organotypic models that capture native-like physiological features of tissues are being pursued as clinically predictive assays for therapeutics development. A range of these models are being developed to mimic brain morphology, physiology, and pathology of neurological diseases. Biofabrication of 3D gel-based cellular systems is emerging as a versatile technology to produce spatially and cell-type tailored, physiologically complex and native-like tissue models. Here we produce 3D fibrin gel-based functional neural co-culture models with human-iPSC differentiated dopaminergic or glutamatergic neurons and astrocytes. We further introduce genetically encoded fluorescence biosensors and optogenetics activation for real time functional measurements of intracellular calcium and levels of dopamine and glutamate neurotransmitters, in a high-throughput compatible plate format. We use pharmacological perturbations to demonstrate that the drug responses of 3D gel-based neural models are like those expected from in-vivo data, and in some cases, in contrast to those observed in the equivalent 2D neural models. Fibrin gel-based 3D co-culture models with human-iPSC differentiated dopaminergic or glutamatergic neurons and astrocytes are shown to be functional using biosensors and can be scaled up for high-throughput assays.
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8
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Clawson WP, Levin M. Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organisms. Biol J Linn Soc Lond 2022. [DOI: 10.1093/biolinnean/blac073] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Abstract
The rich variety of biological forms and behaviours results from one evolutionary history on Earth, via frozen accidents and selection in specific environments. This ubiquitous baggage in natural, familiar model species obscures the plasticity and swarm intelligence of cellular collectives. Significant gaps exist in our understanding of the origin of anatomical novelty, of the relationship between genome and form, and of strategies for control of large-scale structure and function in regenerative medicine and bioengineering. Analysis of living forms that have never existed before is necessary to reveal deep design principles of life as it can be. We briefly review existing examples of chimaeras, cyborgs, hybrots and other beings along the spectrum containing evolved and designed systems. To drive experimental progress in multicellular synthetic morphology, we propose teleonomic (goal-seeking, problem-solving) behaviour in diverse problem spaces as a powerful invariant across possible beings regardless of composition or origin. Cybernetic perspectives on chimaeric morphogenesis erase artificial distinctions established by past limitations of technology and imagination. We suggest that a multi-scale competency architecture facilitates evolution of robust problem-solving, living machines. Creation and analysis of novel living forms will be an essential testbed for the emerging field of diverse intelligence, with numerous implications across regenerative medicine, robotics and ethics.
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Affiliation(s)
| | - Michael Levin
- Allen Discovery Center at Tufts University , Medford, MA , USA
- Wyss Institute for Biologically Inspired Engineering at Harvard University , Boston, MA , USA
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9
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Aydin O, Passaro AP, Raman R, Spellicy SE, Weinberg RP, Kamm RD, Sample M, Truskey GA, Zartman J, Dar RD, Palacios S, Wang J, Tordoff J, Montserrat N, Bashir R, Saif MTA, Weiss R. Principles for the design of multicellular engineered living systems. APL Bioeng 2022; 6:010903. [PMID: 35274072 PMCID: PMC8893975 DOI: 10.1063/5.0076635] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/02/2022] [Indexed: 12/14/2022] Open
Abstract
Remarkable progress in bioengineering over the past two decades has enabled the formulation of fundamental design principles for a variety of medical and non-medical applications. These advancements have laid the foundation for building multicellular engineered living systems (M-CELS) from biological parts, forming functional modules integrated into living machines. These cognizant design principles for living systems encompass novel genetic circuit manipulation, self-assembly, cell-cell/matrix communication, and artificial tissues/organs enabled through systems biology, bioinformatics, computational biology, genetic engineering, and microfluidics. Here, we introduce design principles and a blueprint for forward production of robust and standardized M-CELS, which may undergo variable reiterations through the classic design-build-test-debug cycle. This Review provides practical and theoretical frameworks to forward-design, control, and optimize novel M-CELS. Potential applications include biopharmaceuticals, bioreactor factories, biofuels, environmental bioremediation, cellular computing, biohybrid digital technology, and experimental investigations into mechanisms of multicellular organisms normally hidden inside the "black box" of living cells.
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Affiliation(s)
| | - Austin P. Passaro
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia 30602, USA
| | - Ritu Raman
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | | | - Robert P. Weinberg
- School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts 02115, USA
| | | | - Matthew Sample
- Center for Ethics and Law in the Life Sciences, Leibniz Universität Hannover, 30167 Hannover, Germany
| | - George A. Truskey
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA
| | - Jeremiah Zartman
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - Roy D. Dar
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Sebastian Palacios
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA
| | - Jason Wang
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Jesse Tordoff
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Nuria Montserrat
- Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain
| | | | - M. Taher A. Saif
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Ron Weiss
- Author to whom correspondence should be addressed:
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10
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Ozgun A, Lomboni D, Arnott H, Staines WA, Woulfe J, Variola F. Biomaterial-based strategies for in vitro neural models. Biomater Sci 2022; 10:1134-1165. [PMID: 35023513 DOI: 10.1039/d1bm01361k] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In vitro models have been used as a complementary tool to animal studies in understanding the nervous system's physiological mechanisms and pathological disorders, while also serving as platforms to evaluate the safety and efficiency of therapeutic candidates. Following recent advances in materials science, micro- and nanofabrication techniques and cell culture systems, in vitro technologies have been rapidly gaining the potential to bridge the gap between animal and clinical studies by providing more sophisticated models that recapitulate key aspects of the structure, biochemistry, biomechanics, and functions of human tissues. This was made possible, in large part, by the development of biomaterials that provide cells with physicochemical features that closely mimic the cellular microenvironment of native tissues. Due to the well-known material-driven cellular response and the importance of mimicking the environment of the target tissue, the selection of optimal biomaterials represents an important early step in the design of biomimetic systems to investigate brain structures and functions. This review provides a comprehensive compendium of commonly used biomaterials as well as the different fabrication techniques employed for the design of neural tissue models. Furthermore, the authors discuss the main parameters that need to be considered to develop functional platforms not only for the study of brain physiological functions and pathological processes but also for drug discovery/development and the optimization of biomaterials for neural tissue engineering.
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Affiliation(s)
- Alp Ozgun
- Department of Mechanical Engineering, Faculty of Engineering, University of Ottawa, Ottawa, Canada. .,Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - David Lomboni
- Department of Mechanical Engineering, Faculty of Engineering, University of Ottawa, Ottawa, Canada. .,Ottawa-Carleton Institute for Biomedical Engineering (OCIBME), Ottawa, Canada
| | - Hallie Arnott
- Department of Mechanical Engineering, Faculty of Engineering, University of Ottawa, Ottawa, Canada. .,Ottawa-Carleton Institute for Biomedical Engineering (OCIBME), Ottawa, Canada
| | - William A Staines
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - John Woulfe
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.,The Ottawa Hospital, Ottawa, Canada
| | - Fabio Variola
- Department of Mechanical Engineering, Faculty of Engineering, University of Ottawa, Ottawa, Canada. .,Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada.,Ottawa-Carleton Institute for Biomedical Engineering (OCIBME), Ottawa, Canada.,The Ottawa Hospital, Ottawa, Canada.,Children's Hospital of Eastern Ontario (CHEO), Ottawa, Canada
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11
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Huang B, Peng J, Huang X, Liang F, Wang L, Shi J, Yamada A, Chen Y. Generation of Interconnected Neural Clusters in Multiscale Scaffolds from Human-Induced Pluripotent Stem Cells. ACS APPLIED MATERIALS & INTERFACES 2021; 13:55939-55952. [PMID: 34788005 DOI: 10.1021/acsami.1c18465] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The development of in vitro neural networks depends to a large extent on the scaffold properties, including the scaffold stiffness, porosity, and dimensionality. Herein, we developed a method to generate interconnected neural clusters in a multiscale scaffold consisting of a honeycomb microframe covered on both sides with a monolayer of cross-linked gelatin nanofibers. Cortical neural precursor cells were first produced from human-induced pluripotent stem cells and then loaded into the scaffold for a long period of differentiation toward cortical neural cells. As a result, neurons and astrocytes self-organized in the scaffold to form clusters in each of the honeycomb compartments with remarkable inter-cluster connections. These cells highly expressed neuron- and astrocyte-specific proteins, including NF200, tau, synapsin I, and glial fibrillary acidic protein, and showed spatially correlated neural activities. Two types of neural clusters, that is, spheroid-like and hourglass-like clusters, were found, indicating the complexity of neural-scaffold interaction and the variability of three-dimensional neural organization. Furthermore, we incorporated a reconstituted basement membrane into the scaffold and performed co-culture of the neural network with brain microvascular endothelial cells. As a proof of concept, an improved neurovascular unit model was tested, showing large astrocytic end-feet on the back side of the endothelium.
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Affiliation(s)
- Boxin Huang
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
| | - Juan Peng
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
| | - Xiaochen Huang
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
| | - Feng Liang
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
| | - Li Wang
- MesoBioTech, 231 Rue Saint-Honoré, 75001 Paris, France
| | - Jian Shi
- MesoBioTech, 231 Rue Saint-Honoré, 75001 Paris, France
| | - Ayako Yamada
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
| | - Yong Chen
- PASTEUR, Département de Chimie, École Normale Supérieure, PSL Université, Sorbonne Université, CNRS, 75005 Paris, France
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12
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Malheiro A, Harichandan A, Bernardi J, Seijas-Gamardo A, Konings GF, Volders PGA, Romano A, Mota C, Wieringa P, Moroni L. 3D culture platform of human iPSCs-derived nociceptors for peripheral nerve modelling and tissue innervation. Biofabrication 2021; 14. [PMID: 34736244 DOI: 10.1088/1758-5090/ac36bf] [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: 05/11/2021] [Accepted: 11/04/2021] [Indexed: 11/11/2022]
Abstract
Functional humanized in vitro nerve models are coveted as an alternative to animal models due to their ease of access, lower cost, clinical relevance and no need for recurrent animal sacrifice. To this end, we developed a sensory nerve model using induced pluripotent stem cells (iPSCs)-derived nociceptors that are electrically active and exhibit a functional response to noxious stimuli. The differentiated neurons were co-cultured with primary Schwann cells on an aligned microfibrous scaffold to produce biomimetic peripheral nerve tissue. Compared to glass coverslips, our scaffold enhances tissue development and stabilization. Using this model, we demonstrate that myelin damage can be induced from hyperglycemia exposure (glucose at 45 mM) and mitigated by epalrestat (1µM) supplementation. Through fibrin embedding of the platform, we were able to create 3D anisotropic myelinated tissue, reaching over 6.5 mm in length. Finally, as a proof-of-concept, we incorporated pancreatic pseudoislets and endometrial organoids into our nerve platform, to demonstrate the potential in generating nociceptor innervation models. In summary, we propose here an improved tool for neurobiology research with potential applications in pathology modelling, drug screening and target tissue innervation.
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Affiliation(s)
- Afonso Malheiro
- Complex Tissue Regeneration department, Maastricht University, Universiteitssingel 40, Maastricht, 6200 MD, NETHERLANDS
| | - Abhishek Harichandan
- Complex Tissue Regeneration department, Maastricht University, Universiteitssingel, 40, Maastricht, 6200 MD, NETHERLANDS
| | - Joyce Bernardi
- Department of Cardiology, Maastricht University, Universiteitssingel 50, Maastricht, 6200 MD, NETHERLANDS
| | - Adrián Seijas-Gamardo
- Complex Tissue Regeneration department, Maastricht University, Universiteitssingel 40, Maastricht, 6200 MD, NETHERLANDS
| | - Gonda F Konings
- Department of Gynaecology, Maastricht University, Universiteitssingel 50, Maastricht, 6200 MD, NETHERLANDS
| | - Paul G A Volders
- Department of Cardiology, Maastricht University, Universiteitssingel 50, Maastricht, 6200 MD, NETHERLANDS
| | - Andrea Romano
- Department of Gynaecology, Maastricht University, Universiteitssingel 50, Maastricht, 6200 MD, NETHERLANDS
| | - Carlos Mota
- Department of Complex Tissue Regeneration (CTR), Maastricht University, Universiteitssingel, 40, office 3.541A, Maastricht, 6229 ER, NETHERLANDS
| | - Paul Wieringa
- Complex Tissue Regeneration, Maastricht University MERLN Institute for Technology-Inspired Regenerative Medicine, Universiteitssingel 40, Maastricht, 6229ER, NETHERLANDS
| | - Lorenzo Moroni
- Complex Tissue Regeneration, Maastricht University, Universiteitsingel, 40, Maastricht, 6200 MD, NETHERLANDS
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13
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Yoon D, Son J, Park JK, Nam Y. Development of the micro-patterned 3D neuronal-hydrogel model using soft-lithography for study a 3D neural network on a microelectrode array . ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:1234-1237. [PMID: 34891510 DOI: 10.1109/embc46164.2021.9629822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In vitro patterned neuronal models have been studied as one of the strategies to investigate the relationship between structural connectivity and functional activity of neural network. Despite the importance of three-dimensional (3D) cell models, most of these studies have been performed on two-dimensional models. In this study, we present a technique to construct the micro-pattern to 3D neuronal-hydrogel model using a micromolding in capillaries (MIMIC) technique on microelectrode array (MEA). Our technique was suitable to prevent the deformation of micro-patterned collagen model against the neuronal contracted tension during the network formation. The relationship between the growth directions of glial cells and micro-pattern direction was investigated. Lastly, we confirmed that our 3D model had synchronized activity among neurons in 3D. This model is expected to be used as a tool to study the relationship between structural connectivity and functional activity in the 3D environment.
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14
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Szklanny AA, Machour M, Redenski I, Chochola V, Goldfracht I, Kaplan B, Epshtein M, Simaan Yameen H, Merdler U, Feinberg A, Seliktar D, Korin N, Jaroš J, Levenberg S. 3D Bioprinting of Engineered Tissue Flaps with Hierarchical Vessel Networks (VesselNet) for Direct Host-To-Implant Perfusion. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2102661. [PMID: 34510579 DOI: 10.1002/adma.202102661] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/28/2021] [Indexed: 05/09/2023]
Abstract
Engineering hierarchical vasculatures is critical for creating implantable functional thick tissues. Current approaches focus on fabricating mesoscale vessels for implantation or hierarchical microvascular in vitro models, but a combined approach is yet to be achieved to create engineered tissue flaps. Here, millimetric vessel-like scaffolds and 3D bioprinted vascularized tissues interconnect, creating fully engineered hierarchical vascular constructs for implantation. Endothelial and support cells spontaneously form microvascular networks in bioprinted tissues using a human collagen bioink. Sacrificial molds are used to create polymeric vessel-like scaffolds and endothelial cells seeded in their lumen form native-like endothelia. Assembling endothelialized scaffolds within vascularizing hydrogels incites the bioprinted vasculature and endothelium to cooperatively create vessels, enabling tissue perfusion through the scaffold lumen. Using a cuffing microsurgery approach, the engineered tissue is directly anastomosed with a rat femoral artery, promoting a rich host vasculature within the implanted tissue. After two weeks in vivo, contrast microcomputer tomography imaging and lectin perfusion of explanted engineered tissues verify the host ingrowth vasculature's functionality. Furthermore, the hierarchical vessel network (VesselNet) supports in vitro functionality of cardiomyocytes. Finally, the proposed approach is expanded to mimic complex structures with native-like millimetric vessels. This work presents a novel strategy aiming to create fully-engineered patient-specific thick tissue flaps.
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Affiliation(s)
- Ariel A Szklanny
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Majd Machour
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Idan Redenski
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Václav Chochola
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, 625 00, Czech Republic
| | - Idit Goldfracht
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Ben Kaplan
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Mark Epshtein
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Haneen Simaan Yameen
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Uri Merdler
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Adam Feinberg
- Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Dror Seliktar
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Netanel Korin
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
| | - Josef Jaroš
- Cell and Tissue Regeneration, International Clinical Research Center, St. Anne's University Hospital Brno, Brno, 65691, Czech Republic
| | - Shulamit Levenberg
- Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel
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15
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Gheorghiu M, Polonschii C, Popescu O, Gheorghiu E. Advanced Optogenetic-Based Biosensing and Related Biomaterials. MATERIALS 2021; 14:ma14154151. [PMID: 34361345 PMCID: PMC8347019 DOI: 10.3390/ma14154151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/12/2021] [Accepted: 07/20/2021] [Indexed: 02/07/2023]
Abstract
The ability to stimulate mammalian cells with light, brought along by optogenetic control, has significantly broadened our understanding of electrically excitable tissues. Backed by advanced (bio)materials, it has recently paved the way towards novel biosensing concepts supporting bio-analytics applications transversal to the main biomedical stream. The advancements concerning enabling biomaterials and related novel biosensing concepts involving optogenetics are reviewed with particular focus on the use of engineered cells for cell-based sensing platforms and the available toolbox (from mere actuators and reporters to novel multifunctional opto-chemogenetic tools) for optogenetic-enabled real-time cellular diagnostics and biosensor development. The key advantages of these modified cell-based biosensors concern both significantly faster (minutes instead of hours) and higher sensitivity detection of low concentrations of bioactive/toxic analytes (below the threshold concentrations in classical cellular sensors) as well as improved standardization as warranted by unified analytic platforms. These novel multimodal functional electro-optical label-free assays are reviewed among the key elements for optogenetic-based biosensing standardization. This focused review is a potential guide for materials researchers interested in biosensing based on light-responsive biomaterials and related analytic tools.
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Affiliation(s)
- Mihaela Gheorghiu
- International Centre of Biodynamics, 1B Intrarea Portocalelor, 060101 Bucharest, Romania;
- Correspondence: (M.G.); (E.G.)
| | - Cristina Polonschii
- International Centre of Biodynamics, 1B Intrarea Portocalelor, 060101 Bucharest, Romania;
| | - Octavian Popescu
- Molecular Biology Center, Institute for Interdisciplinary Research in Bio-Nano-Sciences, Babes-Bolyai-University, 400084 Cluj-Napoca, Romania;
- Institute of Biology Bucharest, Romanian Academy, 296 Splaiul Independentei, 060031 Bucharest, Romania
| | - Eugen Gheorghiu
- International Centre of Biodynamics, 1B Intrarea Portocalelor, 060101 Bucharest, Romania;
- Correspondence: (M.G.); (E.G.)
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16
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Zilberman A, Cornelison RC. Microphysiological models of the central nervous system with fluid flow. Brain Res Bull 2021; 174:72-83. [PMID: 34029679 DOI: 10.1016/j.brainresbull.2021.05.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/08/2021] [Accepted: 05/17/2021] [Indexed: 12/11/2022]
Abstract
There are over 1,000 described neurological and neurodegenerative disorders affecting nearly 100 million Americans - roughly one third of the U.S. population. Collectively, treatment of neurological conditions is estimated to cost $800 billion every year. Lowering this societal burden will require developing better model systems in which to study these diverse disorders. Microphysiological systems are promising tools for modeling healthy and diseased neural tissues to study mechanisms and treatment of neuropathology. One major benefit of microphysiological systems is the ability to incorporate biophysical forces, namely the forces derived from biological fluid flow. Fluid flow in the central nervous system (CNS) is a complex but important element of physiology, and pathologies as diverse as traumatic or ischemic injury, cancer, neurodegenerative disease, and natural aging have all been found to alter flow pathways. In this review, we summarize recent advances in three-dimensional microphysiological systems for studying the biology and therapy of CNS disorders and highlight the ability and growing need to incorporate biological fluid flow in these miniaturized model systems.
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Affiliation(s)
- Aleeza Zilberman
- Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, MA, 01003, United States
| | - R Chase Cornelison
- Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, MA, 01003, United States.
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17
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Compliant 3D frameworks instrumented with strain sensors for characterization of millimeter-scale engineered muscle tissues. Proc Natl Acad Sci U S A 2021; 118:2100077118. [PMID: 33941674 DOI: 10.1073/pnas.2100077118] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Tissue-on-chip systems represent promising platforms for monitoring and controlling tissue functions in vitro for various purposes in biomedical research. The two-dimensional (2D) layouts of these constructs constrain the types of interactions that can be studied and limit their relevance to three-dimensional (3D) tissues. The development of 3D electronic scaffolds and microphysiological devices with geometries and functions tailored to realistic 3D tissues has the potential to create important possibilities in advanced sensing and control. This study presents classes of compliant 3D frameworks that incorporate microscale strain sensors for high-sensitivity measurements of contractile forces of engineered optogenetic muscle tissue rings, supported by quantitative simulations. Compared with traditional approaches based on optical microscopy, these 3D mechanical frameworks and sensing systems can measure not only motions but also contractile forces with high accuracy and high temporal resolution. Results of active tension force measurements of engineered muscle rings under different stimulation conditions in long-term monitoring settings for over 5 wk and in response to various chemical and drug doses demonstrate the utility of such platforms in sensing and modulation of muscle and other tissues. Possibilities for applications range from drug screening and disease modeling to biohybrid robotic engineering.
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18
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Kajtez J, Nilsson F, Fiorenzano A, Parmar M, Emnéus J. 3D biomaterial models of human brain disease. Neurochem Int 2021; 147:105043. [PMID: 33887378 DOI: 10.1016/j.neuint.2021.105043] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/21/2021] [Accepted: 04/06/2021] [Indexed: 01/25/2023]
Abstract
Inherent limitations of the traditional approaches to study brain function and disease, such as rodent models and 2D cell culture platforms, have led to the development of 3D in vitro cell culture systems. These systems, products of multidisciplinary efforts encompassing stem cell biology, materials engineering, and biofabrication, have quickly shown great potential to mimic biochemical composition, structural properties, and cellular morphology and diversity found in the native brain tissue. Crucial to these developments have been the advancements in stem cell technology and cell reprogramming protocols that allow reproducible generation of human subtype-specific neurons and glia in laboratory conditions. At the same time, biomaterials have been designed to provide cells in 3D with a microenvironment that mimics functional and structural aspects of the native extracellular matrix with increasing fidelity. In this article, we review the use of biomaterials in 3D in vitro models of neurological disorders with focus on hydrogel technology and with biochemical composition and physical properties of the in vivo environment as reference.
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Affiliation(s)
- Janko Kajtez
- Department of Experimental Medical Sciences, Wallenberg Neuroscience Center, Division of Neurobiology and Lund Stem Cell Center, BMC A11, Lund University, Lund, S-22184, Sweden.
| | - Fredrik Nilsson
- Department of Experimental Medical Sciences, Wallenberg Neuroscience Center, Division of Neurobiology and Lund Stem Cell Center, BMC A11, Lund University, Lund, S-22184, Sweden
| | - Alessandro Fiorenzano
- Department of Experimental Medical Sciences, Wallenberg Neuroscience Center, Division of Neurobiology and Lund Stem Cell Center, BMC A11, Lund University, Lund, S-22184, Sweden
| | - Malin Parmar
- Department of Experimental Medical Sciences, Wallenberg Neuroscience Center, Division of Neurobiology and Lund Stem Cell Center, BMC A11, Lund University, Lund, S-22184, Sweden
| | - Jenny Emnéus
- Department of Biotechnology and Biomedicine (DTU Bioengineering), Technical University of Denmark, Kongens Lyngby, Denmark
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19
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Koroleva A, Deiwick A, El-Tamer A, Koch L, Shi Y, Estévez-Priego E, Ludl AA, Soriano J, Guseva D, Ponimaskin E, Chichkov B. In Vitro Development of Human iPSC-Derived Functional Neuronal Networks on Laser-Fabricated 3D Scaffolds. ACS APPLIED MATERIALS & INTERFACES 2021; 13:7839-7853. [PMID: 33559469 DOI: 10.1021/acsami.0c16616] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Neural progenitor cells generated from human induced pluripotent stem cells (hiPSCs) are the forefront of ″brain-on-chip″ investigations. Viable and functional hiPSC-derived neuronal networks are shaping powerful in vitro models for evaluating the normal and abnormal formation of cortical circuits, understanding the underlying disease mechanisms, and investigating the response to drugs. They therefore represent a desirable instrument for both the scientific community and the pharmacological industry. However, culture conditions required for the full functional maturation of individual neurons and networks are still unidentified. It has been recognized that three-dimensional (3D) culture conditions can better emulate in vivo neuronal tissue development compared to 2D cultures and thus provide a more desirable in vitro approach. In this paper, we present the design and implementation of a 3D scaffold platform that supports and promotes intricate neuronal network development. 3D scaffolds were produced through direct laser writing by two-photon polymerization (2PP), a high-resolution 3D laser microstructuring technology, using the biocompatible and nondegradable photoreactive resin Dental LT Clear (DClear). Neurons developed and interconnected on a 3D environment shaped by vertically stacked scaffold layers. The developed networks could support different cell types. Starting at the day 50 of 3D culture, neuronal progenitor cells could develop into cortical projection neurons (CNPs) of all six layers, different types of inhibitory neurons, and glia. Additionally and in contrast to 2D conditions, 3D scaffolds supported the long-term culturing of neuronal networks over the course of 120 days. Network health and functionality were probed through calcium imaging, which revealed a strong spontaneous neuronal activity that combined individual and collective events. Taken together, our results highlight advanced microstructured 3D scaffolds as a reliable platform for the 3D in vitro modeling of neuronal functions.
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Affiliation(s)
- Anastasia Koroleva
- Institute of Quantum Optics, Leibniz University Hannover, 30167 Hannover, Germany
- Institute for Regenerative Medicine, Sechenov University, 119991 Moscow, Russia
- Laser Zentrum Hannover e.V., 30419 Hannover, Germany
| | - Andrea Deiwick
- Institute of Quantum Optics, Leibniz University Hannover, 30167 Hannover, Germany
| | | | - Lothar Koch
- Institute of Quantum Optics, Leibniz University Hannover, 30167 Hannover, Germany
| | - Yichen Shi
- Axol Bioscience Ltd., CB10 1XL Cambridge, UK
| | - Estefanía Estévez-Priego
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain
- Universitat de Barcelona Institute of Complex Systems (UBICS), 08028 Barcelona, Spain
| | - Adriaan-Alexander Ludl
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain
- Universitat de Barcelona Institute of Complex Systems (UBICS), 08028 Barcelona, Spain
- Computational Biology Unit, Department of Informatics, University of Bergen, 5020 Bergen, Norway
| | - Jordi Soriano
- Departament de Física de la Matèria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain
- Universitat de Barcelona Institute of Complex Systems (UBICS), 08028 Barcelona, Spain
| | - Daria Guseva
- Cellular Neurophysiology, Hannover Medical School, 30625 Hannover, Germany
- Department of Nutritional Medicine, University of Hohenheim, 70599 Stuttgart, Germany
| | - Evgeni Ponimaskin
- Cellular Neurophysiology, Hannover Medical School, 30625 Hannover, Germany
| | - Boris Chichkov
- Institute of Quantum Optics, Leibniz University Hannover, 30167 Hannover, Germany
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20
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Rezaei N, Bojnordi MN, Ghasemi Hamidabadi H. Differentiation of bone marrow stromal stem cells seeded on silk scaffold to mature oligodendrocyte using cerebrospinal fluid. J Chem Neuroanat 2020; 106:101790. [PMID: 32278022 DOI: 10.1016/j.jchemneu.2020.101790] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 03/27/2020] [Accepted: 03/27/2020] [Indexed: 01/05/2023]
Abstract
The differentiation of cultured Bone marrow stromal cells (BMSC) on silk scaffold into mature oligodendrocyte was done in the presence of cerebrospinal fluid (CSF). BMSC were isolated from Sprague-Dawley rats and were seeded on silk scaffold. The seeded cells were cultured in DMEM/F12 medium supplemented with CFS, basic fibroblast growth factor (bFGF), Retinoic acid (RA) and Epidermal growth factor (EGF). The glial differentiation was investigated using Real time-PCR and immunofluorescence techniques for specific glial markers: Oligo 2, NG2, PLP and MBP. Our dates showed that the differentiated cells expressed specific glial markers: Oligo 2, NG2, PLP and MBP. The specific mature oligodendrocyte genes were up regulated in cultured cells on silk scaffold in the presence of CSF. It is concluded that CSF leads to improve glial differentiation of seeded BMSC on silk scaffold using preparation of appropriate niche. This culture condition may be served as an efficient differentiation induction protocol for glial phenotype, with the perspective of therapeutic application in neuroregenerative medicine.
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Affiliation(s)
- Nourollah Rezaei
- Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran; Immunogenetic Research Center, Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Maryam Nazm Bojnordi
- Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran; Immunogenetic Research Center, Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
| | - Hatef Ghasemi Hamidabadi
- Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran; Immunogenetic Research Center, Department of Anatomy & Cell Biology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
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