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A multi-axis robot-based bioprinting system supporting natural cell function preservation and cardiac tissue fabrication. Bioact Mater 2022; 18:138-150. [PMID: 35387155 PMCID: PMC8961309 DOI: 10.1016/j.bioactmat.2022.02.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/05/2022] [Accepted: 02/10/2022] [Indexed: 12/13/2022] Open
Abstract
Despite the recent advances in artificial tissue and organ engineering, how to generate large size viable and functional complex organs still remains as a grand challenge for regenerative medicine. Three-dimensional bioprinting has demonstrated its advantages as one of the major methods in fabricating simple tissues, yet it still faces difficulties to generate vasculatures and preserve cell functions in complex organ production. Here, we overcome the limitations of conventional bioprinting systems by converting a six degree-of-freedom robotic arm into a bioprinter, therefore enables cell printing on 3D complex-shaped vascular scaffolds from all directions. We also developed an oil bath-based cell printing method to better preserve cell natural functions after printing. Together with a self-designed bioreactor and a repeated print-and-culture strategy, our bioprinting system is capable to generate vascularized, contractible, and long-term survived cardiac tissues. Such bioprinting strategy mimics the in vivo organ development process and presents a promising solution for in vitro fabrication of complex organs. Developed a six-axis robot arm-based bioprinter to enable all directional cell printing by single- or multi-robot operation. Applied a hydrophobic force-based cell attachment approach to integrate printed cells with complex-shaped vascular scaffolds. Designed a repeated print-and-culture strategy to mimic the in vivo organ development process. Achieved vasculogenesis and angiogenesis of bioprinted blood vessels and long-term survival of bioprinted cardiac tissues.
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Topological Distribution of Wound Stiffness Modulates Wound-Induced Hair Follicle Neogenesis. Pharmaceutics 2022; 14:pharmaceutics14091926. [PMID: 36145674 PMCID: PMC9504897 DOI: 10.3390/pharmaceutics14091926] [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: 08/04/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 11/17/2022] Open
Abstract
In the large full-thickness mouse skin regeneration model, wound-induced hair neogenesis (WIHN) occurs in the wound center. This implies a spatial regulation of hair regeneration. The role of mechanotransduction during tissue regeneration is poorly understood. Here, we created wounds with equal area but different shapes to understand if perturbing mechanical forces change the area and quantity of de novo hair regeneration. Atomic force microscopy of wound stiffness demonstrated a stiffness gradient across the wound with the wound center softer than the margin. Reducing mechanotransduction signals using FAK or myosin II inhibitors significantly increased WIHN and, conversely, enhancing these signals with an actin stabilizer reduced WIHN. Here, α-SMA was downregulated in FAK inhibitor-treated wounds and lowered wound stiffness. Wound center epithelial cells exhibited a spherical morphology relative to wound margin cells. Differential gene expression analysis of FAK inhibitor-treated wound RNAseq data showed that cytoskeleton-, integrin-, and matrix-associated genes were downregulated, while hair follicular neogenesis, cell proliferation, and cell signaling genes were upregulated. Immunohistochemistry staining showed that FAK inhibition increased pSTAT3 nuclear staining in the regenerative wound center, implying enhanced signaling for hair follicular neogenesis. These findings suggest that controlling wound stiffness modulates tissue regeneration encompassing epithelial competence, tissue patterning, and regeneration during wound healing.
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Pittman M, Iu E, Li K, Wang M, Chen J, Taneja N, Jo MH, Park S, Jung WH, Liang L, Barman I, Ha T, Gaitanaros S, Liu J, Burnette D, Plotnikov S, Chen Y. Membrane Ruffling is a Mechanosensor of Extracellular Fluid Viscosity. NATURE PHYSICS 2022; 18:1112-1121. [PMID: 37220497 PMCID: PMC10202009 DOI: 10.1038/s41567-022-01676-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/17/2022] [Indexed: 05/25/2023]
Abstract
Cell behaviour is affected by the physical forces and mechanical properties of the cells and of their microenvironment. The viscosity of extracellular fluid - a component of the cellular microenvironment - can vary by orders of magnitude, but its effect on cell behaviour remains largely unexplored. Using bio-compatible polymers to increase the viscosity of the culture medium, we characterize how viscosity affects cell behaviour. We find that multiple types of adherent cells respond in an unexpected but similar manner to elevated viscosity. In a highly viscous medium, cells double their spread area, exhibit increased focal adhesion formation and turnover, generate significantly greater traction forces, and migrate nearly two times faster. We observe that when cells are immersed in regular medium, these viscosity-dependent responses require an actively ruffling lamellipodium - a dynamic membrane structure at the front of the cell. We present evidence that cells utilize membrane ruffling to sense changes in extracellular fluid viscosity and to trigger adaptive responses.
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Affiliation(s)
- Matthew Pittman
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Ernest Iu
- Department of Cell & Systems Biology, University of Toronto
| | - Keva Li
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Mingjiu Wang
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Junjie Chen
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Nilay Taneja
- Department of Cell and Developmental Biology, Vanderbilt University
| | | | - Seungman Park
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Wei-Hung Jung
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Le Liang
- Department of Mechanical Engineering, Johns Hopkins University
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University
| | - Taekjip Ha
- Department of Biophysics, Johns Hopkins University
| | | | - Jian Liu
- Department of Cell Biology, Johns Hopkins University School of Medicine
| | - Dylan Burnette
- Department of Cell and Developmental Biology, Vanderbilt University
| | | | - Yun Chen
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
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