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Ryoo H, Kimmel H, Rondo E, Underhill GH. Advances in high throughput cell culture technologies for therapeutic screening and biological discovery applications. Bioeng Transl Med 2024; 9:e10627. [PMID: 38818120 PMCID: PMC11135158 DOI: 10.1002/btm2.10627] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 06/01/2024] Open
Abstract
Cellular phenotypes and functional responses are modulated by the signals present in their microenvironment, including extracellular matrix (ECM) proteins, tissue mechanical properties, soluble signals and nutrients, and cell-cell interactions. To better recapitulate and analyze these complex signals within the framework of more physiologically relevant culture models, high throughput culture platforms can be transformative. High throughput methodologies enable scientists to extract increasingly robust and broad datasets from individual experiments, screen large numbers of conditions for potential hits, better qualify and predict responses for preclinical applications, and reduce reliance on animal studies. High throughput cell culture systems require uniformity, assay miniaturization, specific target identification, and process simplification. In this review, we detail the various techniques that researchers have used to face these challenges and explore cellular responses in a high throughput manner. We highlight several common approaches including two-dimensional multiwell microplates, microarrays, and microfluidic cell culture systems as well as unencapsulated and encapsulated three-dimensional high throughput cell culture systems, featuring multiwell microplates, micromolds, microwells, microarrays, granular hydrogels, and cell-encapsulated microgels. We also discuss current applications of these high throughput technologies, namely stem cell sourcing, drug discovery and predictive toxicology, and personalized medicine, along with emerging opportunities and future impact areas.
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Affiliation(s)
- Hyeon Ryoo
- Bioengineering DepartmentUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
| | - Hannah Kimmel
- Bioengineering DepartmentUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
| | - Evi Rondo
- Bioengineering DepartmentUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
| | - Gregory H. Underhill
- Bioengineering DepartmentUniversity of Illinois Urbana‐ChampaignUrbanaIllinoisUSA
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2
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Strutt R, Xiong B, Abegg VF, Dittrich PS. Open microfluidics: droplet microarrays as next generation multiwell plates for high throughput screening. LAB ON A CHIP 2024; 24:1064-1075. [PMID: 38356285 PMCID: PMC10898417 DOI: 10.1039/d3lc01024d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/04/2024] [Indexed: 02/16/2024]
Abstract
Multiwell plates are prominent in the biological and chemical sciences; however, they face limitations in terms of throughput and deployment in emerging bioengineering fields. Droplet microarrays, as an open microfluidic technology, organise tiny droplets typically in the order of thousands, on an accessible plate. In this perspective, we summarise current approaches for generating droplets, fluid handling on them, and analysis within droplet microarrays. By enabling unique plate engineering opportunities, demonstrating the necessary experimental procedures required for manipulating and interacting with biological cells, and integrating with label-free analytical techniques, droplet microarrays can be deployed across a more extensive experimental domain than what is currently covered by multiwell plates. Droplet microarrays thus offer a solution to the bottlenecks associated with multiwell plates, particularly in the areas of biological cultivation and high-throughput compound screening.
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Affiliation(s)
- Robert Strutt
- Department of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
| | - Bijing Xiong
- Department of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
| | - Vanessa Fabienne Abegg
- Department of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
| | - Petra S Dittrich
- Department of Biosystems Science and Engineering, ETH Zürich, Schanzenstrasse 44, 4056 Basel, Switzerland.
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3
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Cui H, Sun X, Schilling M, Herold-Mende C, Reischl M, Levkin PA, Popova AA, Turcan Ş. Repurposing FDA-Approved Drugs for Temozolomide-Resistant IDH1 Mutant Glioma Using High-Throughput Miniaturized Screening on Droplet Microarray Chip. Adv Healthc Mater 2023; 12:e2300591. [PMID: 37162029 DOI: 10.1002/adhm.202300591] [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: 02/23/2023] [Revised: 04/25/2023] [Indexed: 05/11/2023]
Abstract
To address the challenge of drug resistance and limited treatment options for recurrent gliomas with IDH1 mutations, a highly miniaturized screening of 2208 FDA-approved drugs is conducted using a high-throughput droplet microarray (DMA) platform. Two patient-derived temozolomide-resistant tumorspheres harboring endogenous IDH1 mutations (IDH1mut ) are utilized. Screening identifies over 20 drugs, including verteporfin (VP), that significantly affected tumorsphere formation and viability. Proteomics analysis reveals that nuclear pore complex may be a potential VP target, suggesting a new mechanism of action independent of its known effects on YAP1. Knockdown experiments exclude YAP1 as a drug target in tumorspheres. Pathway analysis shows that NUP107 is a potential upstream regulator associated with VP response. Analysis of publicly available genomic datasets shows a significant correlation between high NUP107 expression and decreased survival in IDH1mut astrocytoma, suggesting NUP107 may be a potential biomarker for VP response. This study demonstrates a miniaturized approach for cost-effective drug repurposing using 3D glioma models and identifies nuclear pore complex as a potential target for drug development. The findings provide preclinical evidence to support in vivo and clinical studies of VP and other identified compounds to treat IDH1mut gliomas, which may ultimately improve clinical outcomes for patients with this challenging disease.
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Affiliation(s)
- Haijun Cui
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Xueyuan Sun
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Marcel Schilling
- Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Christel Herold-Mende
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Pavel A Levkin
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Institute of Organic Chemistry (IOC), Karlsruhe Institute of Technology (KIT), Fritz-Haber Weg 6, 76131, Karlsruhe, Germany
| | - Anna A Popova
- Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Şevin Turcan
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
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4
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Shi L, Liu S, Li X, Huang X, Luo H, Bai Q, Li Z, Wang L, Du X, Jiang C, Liu S, Li C. Droplet microarray platforms for high-throughput drug screening. Mikrochim Acta 2023; 190:260. [PMID: 37318602 DOI: 10.1007/s00604-023-05833-9] [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: 03/18/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
High-throughput screening platforms are fundamental for the rapid and efficient processing of large amounts of experimental data. Parallelization and miniaturization of experiments are important for improving their cost-effectiveness. The development of miniaturized high-throughput screening platforms is essential in the fields of biotechnology, medicine, and pharmacology. Currently, most laboratories use 96- or 384-well microtiter plates for screening; however, they have disadvantages, such as high reagent and cell consumption, low throughput, and inability to avoid cross-contamination, which need to be further optimized. Droplet microarrays, as novel screening platforms, can effectively avoid these shortcomings. Here, the preparation method of the droplet microarray, method of adding compounds in parallel, and means to read the results are briefly described. Next, the latest research on droplet microarray platforms in biomedicine is presented, including their application in high-throughput culture, cell screening, high-throughput nucleic acid screening, drug development, and individualized medicine. Finally, the challenges and future trends in droplet microarray technology are summarized.
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Affiliation(s)
- Lina Shi
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Sutong Liu
- Juxing College of Digital Economics, Haikou University of Economics, Haikou, 570100, China
| | - Xue Li
- Sichuan Hanyuan County People's Hospital, Hanyuan, 625300, China
| | - Xiwei Huang
- Ministry of Education Key Lab of RFCircuits and Systems, Hangzhou Dianzi University, Hangzhou, 310038, China
| | - Hongzhi Luo
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, 563002, China
| | - Qianwen Bai
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, 563002, China
| | - Zhu Li
- College of Medical Technology, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China
| | - Lijun Wang
- Department of Ophthalmology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Xiaoxin Du
- Office of Scientific Research & Development, University of Electronic Science and Technology, Chengdu, 610054, China
| | - Cheng Jiang
- Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, China
| | - Shan Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Department of Medical Genetics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
| | - Chenzhong Li
- Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, China
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Schilling MP, El Khaled El Faraj R, Urrutia Gómez JE, Sonnentag SJ, Wang F, Nestler B, Orian-Rousseau V, Popova AA, Levkin PA, Reischl M. Automated high-throughput image processing as part of the screening platform for personalized oncology. Sci Rep 2023; 13:5107. [PMID: 36991084 PMCID: PMC10060403 DOI: 10.1038/s41598-023-32144-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
Cancer is a devastating disease and the second leading cause of death worldwide. However, the development of resistance to current therapies is making cancer treatment more difficult. Combining the multi-omics data of individual tumors with information on their in-vitro Drug Sensitivity and Resistance Test (DSRT) can help to determine the appropriate therapy for each patient. Miniaturized high-throughput technologies, such as the droplet microarray, enable personalized oncology. We are developing a platform that incorporates DSRT profiling workflows from minute amounts of cellular material and reagents. Experimental results often rely on image-based readout techniques, where images are often constructed in grid-like structures with heterogeneous image processing targets. However, manual image analysis is time-consuming, not reproducible, and impossible for high-throughput experiments due to the amount of data generated. Therefore, automated image processing solutions are an essential component of a screening platform for personalized oncology. We present our comprehensive concept that considers assisted image annotation, algorithms for image processing of grid-like high-throughput experiments, and enhanced learning processes. In addition, the concept includes the deployment of processing pipelines. Details of the computation and implementation are presented. In particular, we outline solutions for linking automated image processing for personalized oncology with high-performance computing. Finally, we demonstrate the advantages of our proposal, using image data from heterogeneous practical experiments and challenges.
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Affiliation(s)
- Marcel P Schilling
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.
| | - Razan El Khaled El Faraj
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Joaquín Eduardo Urrutia Gómez
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Steffen J Sonnentag
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Fei Wang
- Institute for Applied Materials, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany
| | - Britta Nestler
- Institute for Applied Materials, Karlsruhe Institute of Technology, 76131, Karlsruhe, Germany
| | - Véronique Orian-Rousseau
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Anna A Popova
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Pavel A Levkin
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany
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6
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Liu Y, Bertels S, Reischl M, Peravali R, Bastmeyer M, Popova AA, Levkin PA. Droplet Microarray Based Screening Identifies Proteins for Maintaining Pluripotency of hiPSCs. Adv Healthc Mater 2022; 11:e2200718. [PMID: 35799451 DOI: 10.1002/adhm.202200718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/10/2022] [Indexed: 01/27/2023]
Abstract
Human induced pluripotent stem cells (hiPSCs) are crucial for disease modeling, drug discovery, and personalized medicine. Animal-derived materials hinderapplications of hiPSCs in medical fields. Thus, novel and well-defined substrate coatings capable of maintaining hiPSC pluripotency are important for advancing biomedical applications of hiPSCs. Here a miniaturized droplet microarray (DMA) platform to investigate 11 well-defined proteins, their 55 binary and 165 ternary combinations for their ability to maintainpluripotency of hiPSCs when applied as a surface coating, is used. Using this screening approach, ten protein group coatings are identified, which promote significantly higher NANOG expression of hiPSCs in comparison with Matrigel coating. With two of the identified coatings, long-term pluripotency maintenance of hiPSCs and subsequent differentiation into three germ layers are achieved. Compared with conventional high-throughput screening (HTS) in 96-well plates, the DMA platform uses only 83 µL of protein solution (0.83 µg total protein) and only ≈2.8 × 105 cells, decreasing the amount of proteins and cells ≈860 and 25-fold, respectively. The identified proteins will be essential for research and applications using hiPSCs, while the DMA platform demonstrates great potential for miniaturized HTS of scarce cells or expensive materials such as recombinant proteins.
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Affiliation(s)
- Yanxi Liu
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Sarah Bertels
- Zoological Institute, Cell- and Neurobiology, Karlsruhe Institute of Technology, Fritz-Haber-Weg 4, 76131, Karlsruhe, Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Hermann-von Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Ravindra Peravali
- Institute of Biological and Chemical Systems - Biological Information Processing, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Martin Bastmeyer
- Zoological Institute, Cell- and Neurobiology, Karlsruhe Institute of Technology, Fritz-Haber-Weg 4, 76131, Karlsruhe, Germany.,Institute of Biological and Chemical Systems - Biological Information Processing, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Anna A Popova
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Pavel A Levkin
- Institute of Biological and Chemical Systems - Functional Molecular Systems, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.,Institute of Organic Chemistry, Karlsruhe Institute of Technology, Kaiserstraße 12, 76131, Karlsruhe, Germany
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7
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Chakraborty S, Luchena C, Elton JJ, Schilling MP, Reischl M, Roux M, Levkin PA, Popova AA. "Cells-to-cDNA on Chip": Phenotypic Assessment and Gene Expression Analysis from Live Cells in Nanoliter Volumes Using Droplet Microarrays. Adv Healthc Mater 2022; 11:e2102493. [PMID: 35285171 DOI: 10.1002/adhm.202102493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/08/2022] [Indexed: 11/11/2022]
Abstract
In vitro cell-based experiments are particularly important in fundamental biological research. Microscopy-based readouts to identify cellular changes in response to various stimuli are a popular choice, but gene expression analysis is essential to delineate the underlying molecular dynamics in cells. However, cell-based experiments often suffer from interexperimental variation, especially while using different readout methods. Therefore, establishment of platforms that allow for cell screening, along with parallel investigations of morphological features, as well as gene expression levels, is crucial. The droplet microarray (DMA) platform enables cell screening in hundreds of nanoliter droplets. In this study, a "Cells-to-cDNA on Chip" method is developed enabling on-chip mRNA isolation from live cells and conversion to cDNA in individual droplets of 200 nL. This novel method works efficiently to obtain cDNA from different cell numbers, down to single cell per droplet. This is the first established miniaturized on-chip strategy that enables the entire course of cell screening, phenotypic microscopy-based assessments along with mRNA isolation and its conversion to cDNA for gene expression analysis by real-time PCR on an open DMA platform. The principle demonstrated in this study sets a beginning for myriad of possible applications to obtain detailed information about the molecular dynamics in cultured cells.
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Affiliation(s)
- Shraddha Chakraborty
- Institute of Biological and Chemical Systems‐Functional Molecular Systems Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
| | - Charlotte Luchena
- Institute of Biological and Chemical Systems‐Functional Molecular Systems Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
| | - Jonathan J. Elton
- Institute of Biological and Chemical Systems‐Functional Molecular Systems Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
| | - Marcel P. Schilling
- Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
| | - Markus Reischl
- Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
| | - Margaux Roux
- Cellenion SASU Bioserra 2, 60 avenue Rockefeller Lyon 69008 France
| | - Pavel A. Levkin
- Institute of Biological and Chemical Systems‐Functional Molecular Systems Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
- Institute of Organic Chemistry Karlsruhe Institute of Technology Fritz‐Haber Weg 6 Karlsruhe 76131 Germany
| | - Anna A. Popova
- Institute of Biological and Chemical Systems‐Functional Molecular Systems Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 Eggenstein‐Leopoldshafen 76344 Germany
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8
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Miniaturized droplet microarray platform enables maintenance of human induced pluripotent stem cell pluripotency. Mater Today Bio 2021; 12:100153. [PMID: 34765963 PMCID: PMC8569722 DOI: 10.1016/j.mtbio.2021.100153] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/17/2021] [Accepted: 10/23/2021] [Indexed: 11/29/2022] Open
Abstract
The capacity of human induced pluripotent stem cells (hiPSCs) for indefinite self-renewal warrants their application in disease modeling, drug discovery, toxicity assays and efficacy screening. However, their poor proliferation ability, inability to adhere to surfaces without Matrigel coating and tendency to spontaneously differentiate in vitro hinder the application of hiPSCs in these fields. Here we study the ability to culture hiPSCs inside 200 nL droplets on the droplet microarray (DMA) platform. We demonstrate that (1) hiPSCs can attach to the Matrigel (MG)-free surface of DMA and show good viability after 24 h culture; (2) hiPSC do not spontaneously differentiate when cultured on the MG-free surface of DMAs; (3) culturing of hiPSCs in 200 nL as compared to 2 mL culture leads to higher expression of the Nanog pluripotency marker. Overall, the results demonstrate the possibility to culture undifferentiated hiPSCs in 200 nL droplets on DMA, thereby opening the possibility for high-throughput screenings of hiPSCs with various factors without compromising the results through the involvement of animal-derived materials, such as Matrigel.
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Yang L, Pijuan-Galito S, Rho HS, Vasilevich AS, Eren AD, Ge L, Habibović P, Alexander MR, de Boer J, Carlier A, van Rijn P, Zhou Q. High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology. Chem Rev 2021; 121:4561-4677. [PMID: 33705116 PMCID: PMC8154331 DOI: 10.1021/acs.chemrev.0c00752] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Indexed: 02/07/2023]
Abstract
The complex interaction of cells with biomaterials (i.e., materiobiology) plays an increasingly pivotal role in the development of novel implants, biomedical devices, and tissue engineering scaffolds to treat diseases, aid in the restoration of bodily functions, construct healthy tissues, or regenerate diseased ones. However, the conventional approaches are incapable of screening the huge amount of potential material parameter combinations to identify the optimal cell responses and involve a combination of serendipity and many series of trial-and-error experiments. For advanced tissue engineering and regenerative medicine, highly efficient and complex bioanalysis platforms are expected to explore the complex interaction of cells with biomaterials using combinatorial approaches that offer desired complex microenvironments during healing, development, and homeostasis. In this review, we first introduce materiobiology and its high-throughput screening (HTS). Then we present an in-depth of the recent progress of 2D/3D HTS platforms (i.e., gradient and microarray) in the principle, preparation, screening for materiobiology, and combination with other advanced technologies. The Compendium for Biomaterial Transcriptomics and high content imaging, computational simulations, and their translation toward commercial and clinical uses are highlighted. In the final section, current challenges and future perspectives are discussed. High-throughput experimentation within the field of materiobiology enables the elucidation of the relationships between biomaterial properties and biological behavior and thereby serves as a potential tool for accelerating the development of high-performance biomaterials.
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Affiliation(s)
- Liangliang Yang
- University
of Groningen, W. J. Kolff Institute for Biomedical Engineering and
Materials Science, Department of Biomedical Engineering, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Sara Pijuan-Galito
- School
of Pharmacy, Biodiscovery Institute, University
of Nottingham, University Park, Nottingham NG7 2RD, U.K.
| | - Hoon Suk Rho
- Department
of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired
Regenerative Medicine, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Aliaksei S. Vasilevich
- Department
of Biomedical Engineering, Eindhoven University
of Technology, 5600 MB Eindhoven, The Netherlands
| | - Aysegul Dede Eren
- Department
of Biomedical Engineering, Eindhoven University
of Technology, 5600 MB Eindhoven, The Netherlands
| | - Lu Ge
- University
of Groningen, W. J. Kolff Institute for Biomedical Engineering and
Materials Science, Department of Biomedical Engineering, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Pamela Habibović
- Department
of Instructive Biomaterials Engineering, MERLN Institute for Technology-Inspired
Regenerative Medicine, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Morgan R. Alexander
- School
of Pharmacy, Boots Science Building, University
of Nottingham, University Park, Nottingham NG7 2RD, U.K.
| | - Jan de Boer
- Department
of Biomedical Engineering, Eindhoven University
of Technology, 5600 MB Eindhoven, The Netherlands
| | - Aurélie Carlier
- Department
of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired
Regenerative Medicine, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Patrick van Rijn
- University
of Groningen, W. J. Kolff Institute for Biomedical Engineering and
Materials Science, Department of Biomedical Engineering, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, The Netherlands
| | - Qihui Zhou
- Institute
for Translational Medicine, Department of Stomatology, The Affiliated
Hospital of Qingdao University, Qingdao
University, Qingdao 266003, China
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