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Chen X, Sun T, Shimoda S, Wang H, Huang Q, Fukuda T, Shi Q. A Micromanipulation-Actuated Large-Scale Screening to Identify Optimized Microphysiological Model Parameters in Skeletal Muscle Regeneration. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2403622. [PMID: 39264263 PMCID: PMC11600204 DOI: 10.1002/advs.202403622] [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: 04/06/2024] [Revised: 08/09/2024] [Indexed: 09/13/2024]
Abstract
Hydrogel-based 3D cell cultures are extensively utilized to create biomimetic cellular microstructures. However, there is still lack of effective method for both evaluation of the complex interaction of cells with hydrogel and the functionality of the resulting micro-structures. This limitation impedes the further application of these microstructures as microphysiological models (microPMs) for the screening of potential culture condition combinations to enhance the skeletal muscle regeneration. This paper introduces a two-probe micromanipulation method for the large-scale assessment of viscoelasticity and contractile force (CF) of skeletal muscle microPMs, which are produced in high-throughput via microfluidic spinning and 96-well culture. The collected data demonstrate that viscoelasticity parameters (E* and tanδ) and CF both measured in a solution environment are indicative of the formation of cellular structures without hydrogel residue and the subsequent generation of myotubes, respectively. This study have developed screening criterias that integrate E*, tanδ, and CF to examine the effects of multifactorial interactions on muscle fiber repair under hypoxic conditions and within bioprinted bipennate muscle structures. This approach has improved the quality of hypoxic threshold evaluation and aligned cell growth in 3D. The proposed method is useful in exploring the role of different factors in muscle tissue regeneration with limited resources.
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Affiliation(s)
- Xie Chen
- Intelligent Robotics InstituteSchool of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081P. R. China
| | - Tao Sun
- Intelligent Robotics InstituteSchool of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081P. R. China
| | - Shingo Shimoda
- Graduate School of MedicineNagoya UniversityNagoya466‐8550Japan
| | - Huaping Wang
- Intelligent Robotics InstituteSchool of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081P. R. China
| | - Qiang Huang
- Intelligent Robotics InstituteSchool of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081P. R. China
| | - Toshio Fukuda
- Institute of Innovation for Future SocietyNagoya UniversityNagoya466‐8550Japan
| | - Qing Shi
- Intelligent Robotics InstituteSchool of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081P. R. China
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Zhang Y, Wang Y, Yin H, Wang J, Liu N, Zhong S, Li L, Zhang Q, Yue T. Strain sensor on a chip for quantifying the magnitudes of tensile stress on cells. MICROSYSTEMS & NANOENGINEERING 2024; 10:88. [PMID: 38919164 PMCID: PMC11196625 DOI: 10.1038/s41378-024-00719-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/08/2024] [Accepted: 04/23/2024] [Indexed: 06/27/2024]
Abstract
During cardiac development, mechanotransduction from the in vivo microenvironment modulates cardiomyocyte growth in terms of the number, area, and arrangement heterogeneity. However, the response of cells to different degrees of mechanical stimuli is unclear. Organ-on-a-chip, as a platform for investigating mechanical stress stimuli in cellular mimicry of the in vivo microenvironment, is limited by the lack of ability to accurately quantify externally induced stimuli. However, previous technology lacks the integration of external stimuli and feedback sensors in microfluidic platforms to obtain and apply precise amounts of external stimuli. Here, we designed a cell stretching platform with an in-situ sensor. The in-situ liquid metal sensors can accurately measure the mechanical stimulation caused by the deformation of the vacuum cavity exerted on cells. The platform was applied to human cardiomyocytes (AC16) under cyclic strain (5%, 10%, 15%, 20 and 25%), and we found that cyclic strain promoted cell growth induced the arrangement of cells on the membrane to gradually unify, and stabilized the cells at 15% amplitude, which was even more effective after 3 days of culture. The platform's precise control and measurement of mechanical forces can be used to establish more accurate in vitro microenvironmental models for disease modeling and therapeutic research.
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Affiliation(s)
- Yuyin Zhang
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
| | - Yue Wang
- School of Future Technology, Shanghai University, Shanghai, China
- Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
| | - Hongze Yin
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
| | - Jiahao Wang
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
| | - Na Liu
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China
| | - Songyi Zhong
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
- School of Future Technology, Shanghai University, Shanghai, China
| | - Long Li
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai, China
| | - Quan Zhang
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
- School of Future Technology, Shanghai University, Shanghai, China
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai, China
| | - Tao Yue
- School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China
- School of Future Technology, Shanghai University, Shanghai, China
- Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China
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Liang Q, Yu X, Chen X, Huang Q, Sun T. A Stretching Force Control-Based Cyclic Loading Method for the Evaluation of Mechanical Properties of Gelation Methacrylate (GelMA) Microfibers. MICROMACHINES 2022; 13:1703. [PMID: 36296056 PMCID: PMC9609627 DOI: 10.3390/mi13101703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Microfluidic spun gelation mechacrylate (GelMA) microfiber has been widely utilized as a promising bioink for 3D bioprinting. However, its weak and easily tuned mechanical properties are still difficult to precisely evaluate, due to the lack of an effective stretching method. In this paper, we propose a force-control-based cyclic loading method for rapidly evaluating the elastic modulus: the E of the microfibers with different GelMA concentrations. A two-tube manipulation system is used to stretch microfiber with a non-destructive process. Based on the model reference adaptive control strategy, the stress response can be fitted into a sinusoidal wave when a small sinusoidal strain is automatically applied onto the microfiber. Afterwards, the maximum tensile stress and tensile stain is obtained to determine the E. Moreover, different stress amplitudes and frequencies are applied to form different stress-strain loops with almost same E. Compared with a frequently-used constant force loading method, the proposed method shows an obvious advantage in measurement accuracy, especially for low-concentration GelMA microfiber. Furthermore, the reasonableness of the measured E for different GelMA concentrations is confirmed by 3D cell culture experiments, and the results show the proposed method has great application potential to investigate the interaction between cell and fibrous bioink substrate.
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Affiliation(s)
- Qian Liang
- Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Xiao Yu
- Beijing Institute of Technology, Jinggong College, Beijing 100081, China
| | - Xie Chen
- Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Qiang Huang
- Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Tao Sun
- Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China
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