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Sampaio da Silva C, Boos JA, Goldowsky J, Blache M, Schmid N, Heinemann T, Netsch C, Luongo F, Boder-Pasche S, Weder G, Pueyo Moliner A, Samsom RA, Marsee A, Schneeberger K, Mirsaidi A, Spee B, Valentin T, Hierlemann A, Revol V. High-throughput platform for label-free sorting of 3D spheroids using deep learning. Front Bioeng Biotechnol 2024; 12:1432737. [PMID: 39717531 PMCID: PMC11663632 DOI: 10.3389/fbioe.2024.1432737] [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: 05/14/2024] [Accepted: 11/21/2024] [Indexed: 12/25/2024] Open
Abstract
End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transplantable organs. Recognized as one of the promising solutions, tissue engineering aims at recreating functional tissues and organs in vitro. The integration of bioprinting technologies with biological 3D models, such as multi-cellular spheroids, has enabled the fabrication of tissue constructs that better mimic complex structures and in vivo functionality of organs. However, the lack of methods for large-scale production of homogeneous spheroids has hindered the upscaling of tissue fabrication. In this work, we introduce a fully automated platform, designed for high-throughput sorting of 3D spheroids based on label-free analysis of brightfield images. The compact platform is compatible with standard biosafety cabinets and includes a custom-made microscope and two fluidic systems that optimize single spheroid handling to enhance sorting speed. We use machine learning to classify spheroids based on their bioprinting compatibility. This approach enables complex morphological analysis, including assessing spheroid viability, without relying on invasive fluorescent labels. Furthermore, we demonstrate the efficacy of transfer learning for biological applications, for which acquiring large datasets remains challenging. Utilizing this platform, we efficiently sort mono-cellular and multi-cellular liver spheroids, the latter being used in bioprinting applications, and confirm that the sorting process preserves viability and functionality of the spheroids. By ensuring spheroid homogeneity, our sorting platform paves the way for standardized and scalable tissue fabrication, advancing regenerative medicine applications.
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Affiliation(s)
- Claudia Sampaio da Silva
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
- Bio Engineering Laboratory, Department Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Julia Alicia Boos
- Bio Engineering Laboratory, Department Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Jonas Goldowsky
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Manon Blache
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Noa Schmid
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Tim Heinemann
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Christoph Netsch
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Francesca Luongo
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Stéphanie Boder-Pasche
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Gilles Weder
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Alba Pueyo Moliner
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Roos-Anne Samsom
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Ary Marsee
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Kerstin Schneeberger
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | | | - Bart Spee
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Thomas Valentin
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
| | - Andreas Hierlemann
- Bio Engineering Laboratory, Department Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Vincent Revol
- Automated Sample Handling Group, CSEM SA Centre Suisse d’Electronique et de Microtechnique, Neuchâtel, Switzerland
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Karnawat K, Parthasarathy R, Sakhrie M, Karthik H, Krishna KV, Balachander GM. Building in vitro models for mechanistic understanding of liver regeneration in chronic liver diseases. J Mater Chem B 2024; 12:7669-7691. [PMID: 38973693 DOI: 10.1039/d4tb00738g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
The liver has excellent regeneration potential and attains complete functional recovery from partial hepatectomy. The regenerative mechanisms malfunction in chronic liver diseases (CLDs), which fuels disease progression. CLDs account for 2 million deaths per year worldwide. Pathophysiological studies with clinical correlation have shown evidence of deviation of normal regenerative mechanisms and its contribution to fueling fibrosis and disease progression. However, we lack realistic in vitro models that can allow experimental manipulation for mechanistic understanding of liver regeneration in CLDs and testing of candidate drugs. In this review, we aim to provide the framework for building appropriate organotypic models for dissecting regenerative responses in CLDs, with the focus on non-alcoholic steatohepatitis (NASH). By drawing parallels with development and hepatectomy, we explain the selection of critical components such as cells, signaling, and, substrate-driven biophysical cues to build an appropriate CLD model. We highlight the organoid-based organotypic models available for NASH disease modeling, including organ-on-a-chip and 3D bioprinted models. With the focus on bioprinting as a fabrication method, we prescribe building in vitro CLD models and testing schemes for exploring the regenerative responses in the bioprinted model.
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Affiliation(s)
- Khushi Karnawat
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
| | - Rithika Parthasarathy
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
| | - Mesevilhou Sakhrie
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
| | - Harikeshav Karthik
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
| | - Konatala Vibhuvan Krishna
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
| | - Gowri Manohari Balachander
- School of Biomedical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi-221005, India.
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Kim W, Kim G. Engineered 3D liver-tissue model with minispheroids formed by a bioprinting process supported with in situ electrical stimulation. Bioact Mater 2024; 35:382-400. [PMID: 38379698 PMCID: PMC10876469 DOI: 10.1016/j.bioactmat.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/22/2024] Open
Abstract
Three-dimensional (3D) bioprinting, an effective technique for building cell-laden structures providing native extracellular matrix environments, presents challenges, including inadequate cellular interactions. To address these issues, cell spheroids offer a promising solution for improving their biological functions. Particularly, minispheroids with 50-100 μm diameters exhibit enhanced cellular maturation. We propose a one-step minispheroid-forming bioprinting process incorporating electrical stimulation (E-MS-printing). By stimulating the cells, minispheroids with controlled diameters were generated by manipulating the bioink viscosity and stimulation intensity. To validate its feasibility, E-MS-printing process was applied to fabricate an engineered liver model designed to mimic the hepatic lobule unit. E-MS-printing was employed to print the hepatocyte region, followed by bioprinting the central vein using a core-shell nozzle. The resulting constructs displayed native liver-mimetic structures containing minispheroids, which facilitated improved hepatic cell maturation, functional attributes, and vessel formation. Our results demonstrate a new potential 3D liver model that can replicate native liver tissues.
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Affiliation(s)
- WonJin Kim
- Department of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon, 16419, Republic of Korea
| | - GeunHyung Kim
- Department of Precision Medicine, Sungkyunkwan University School of Medicine (SKKU-SOM), Suwon, 16419, Republic of Korea
- Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, 16419, Republic of Korea
- Biomedical Institute for Convergence at SKKU (BICS), Sungkyunkwan University, Suwon, 16419, Republic of Korea
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Kasturi M, Mathur V, Gadre M, Srinivasan V, Vasanthan KS. Three Dimensional Bioprinting for Hepatic Tissue Engineering: From In Vitro Models to Clinical Applications. Tissue Eng Regen Med 2024; 21:21-52. [PMID: 37882981 PMCID: PMC10764711 DOI: 10.1007/s13770-023-00576-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 10/27/2023] Open
Abstract
Fabrication of functional organs is the holy grail of tissue engineering and the possibilities of repairing a partial or complete liver to treat chronic liver disorders are discussed in this review. Liver is the largest gland in the human body and plays a responsible role in majority of metabolic function and processes. Chronic liver disease is one of the leading causes of death globally and the current treatment strategy of organ transplantation holds its own demerits. Hence there is a need to develop an in vitro liver model that mimics the native microenvironment. The developed model should be a reliable to understand the pathogenesis, screen drugs and assist to repair and replace the damaged liver. The three-dimensional bioprinting is a promising technology that recreates in vivo alike in vitro model for transplantation, which is the goal of tissue engineers. The technology has great potential due to its precise control and its ability to homogeneously distribute cells on all layers in a complex structure. This review gives an overview of liver tissue engineering with a special focus on 3D bioprinting and bioinks for liver disease modelling and drug screening.
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Affiliation(s)
- Meghana Kasturi
- Manipal Centre for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Vidhi Mathur
- Manipal Centre for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Mrunmayi Gadre
- Manipal Centre for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Varadharajan Srinivasan
- Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Kirthanashri S Vasanthan
- Manipal Centre for Biotherapeutics Research, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Lou L, Rubinsky B. Temperature-Controlled 3D Cryoprinting Inks Made of Mixtures of Alginate and Agar. Gels 2023; 9:689. [PMID: 37754370 PMCID: PMC10530365 DOI: 10.3390/gels9090689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/20/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
Temperature-controlled 3D cryoprinting (TCC) is an emerging tissue engineering technology aimed at overcoming limitations of conventional 3D printing for large organs: (a) size constraints due to low print rigidity and (b) the preservation of living cells during printing and subsequent tissue storage. TCC addresses these challenges by freezing each printed voxel with controlled cooling rates during deposition. This generates a rigid structure upon printing and ensures cell cryopreservation as an integral part of the process. Previous studies used alginate-based ink, which has limitations: (a) low diffusivity of the CaCl2 crosslinker during TCC's crosslinking process and (b) typical loss of print fidelity with alginate ink. This study explores the use of an ink made of agar and alginate to overcome TCC protocol limitations. When an agar/alginate voxel is deposited, agar first gels at above-freezing temperatures, capturing the desired structure without compromising fidelity, while alginate remains uncrosslinked. During subsequent freezing, both frozen agar and alginate maintain the structure. However, agar gel loses its gel form and water-retaining ability. In TCC, alginate crosslinking occurs by immersing the frozen structure in a warm crosslinking bath. This enables CaCl2 diffusion into the crosslinked alginate congruent with the melting process. Melted agar domains, with reduced water-binding ability, enhance crosslinker diffusivity, reducing TCC procedure duration. Additionally, agar overcomes the typical fidelity loss associated with alginate ink printing.
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Affiliation(s)
- Leo Lou
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, USA;
| | - Boris Rubinsky
- Department of Bioengineering, University of California Berkeley, Berkeley, CA 94720, USA;
- Department of Mechanical Engineering, University of California Berkeley, Berkeley, CA 94720, USA
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