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Vrij E, Rouwkema J, LaPointe V, van Blitterswijk C, Truckenmüller R, Rivron N. Directed Assembly and Development of Material-Free Tissues with Complex Architectures. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2016; 28:4032-4039. [PMID: 27000493 DOI: 10.1002/adma.201505723] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 01/19/2016] [Indexed: 06/05/2023]
Abstract
Material-free tissues are assembled using solely cells. Microstructured hydrogel templates and high content screening allow the formation of centimeter-scale tissues with precise architectures. Similar to developing tissues, these contract autonomously, controllably shift shape, self-scaffold by secreting extracellular matrix, and undergo morphogenesis.
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Affiliation(s)
- Erik Vrij
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229, ER, Maastricht, The Netherland
| | - Jeroen Rouwkema
- Department of Biomechanical Engineering, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Drienerlolaan 5, 7522, NB, Enschede, The Netherlands
| | - Vanessa LaPointe
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229, ER, Maastricht, The Netherland
| | - Clemens van Blitterswijk
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229, ER, Maastricht, The Netherland
| | - Roman Truckenmüller
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229, ER, Maastricht, The Netherland
| | - Nicolas Rivron
- Department of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Universiteitssingel 40, 6229, ER, Maastricht, The Netherland
- Hubrecht Institute for Developmental Biology and Stem Cell Research, Uppsalalaan 8, 3584, CT, Utrecht, The Netherlands
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102
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Abstract
Biomaterials for tissue engineering provide scaffolds to support cells and guide tissue regeneration. Despite significant advances in biomaterials design and fabrication techniques, engineered tissue constructs remain functionally inferior to native tissues. This is largely due to the inability to recreate the complex and dynamic hierarchical organization of the extracellular matrix components, which is intimately linked to a tissue's biological function. This review discusses current state-of-the-art strategies to control the spatial presentation of physical and biochemical cues within a biomaterial to recapitulate native tissue organization and function.
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Affiliation(s)
- Lesley W Chow
- Department of Materials Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA
| | - Jacob F Fischer
- Bioengineering Program, Lehigh University, Bethlehem, PA 18015, USA
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103
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Arslan-Yildiz A, Assal RE, Chen P, Guven S, Inci F, Demirci U. Towards artificial tissue models: past, present, and future of 3D bioprinting. Biofabrication 2016; 8:014103. [DOI: 10.1088/1758-5090/8/1/014103] [Citation(s) in RCA: 179] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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104
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Brennan JR, Hocking DC. Cooperative effects of fibronectin matrix assembly and initial cell-substrate adhesion strength in cellular self-assembly. Acta Biomater 2016; 32:198-209. [PMID: 26712598 PMCID: PMC4754160 DOI: 10.1016/j.actbio.2015.12.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 11/24/2015] [Accepted: 12/18/2015] [Indexed: 11/17/2022]
Abstract
The cell-dependent polymerization of intercellular fibronectin fibrils can stimulate cells to self-assemble into multicellular structures. The local physical cues that support fibronectin-mediated cellular self-assembly are largely unknown. Here, fibronectin matrix analogs were used as synthetic adhesive substrates to model cell-matrix fibronectin fibrils having different integrin-binding specificity, affinity, and/or density. We utilized this model to quantitatively assess the relationship between adhesive forces derived from cell-substrate interactions and the ability of fibronectin fibril assembly to induce cellular self-assembly. Results indicate that the strength of initial, rather than mature, cell-substrate attachments correlates with the ability of substrates to support fibronectin-mediated cellular self-assembly. The cellular response to soluble fibronectin was bimodal and independent of the integrin-binding specificity of the substrate; increasing soluble fibronectin levels above a critical threshold increased aggregate cohesion on permissive substrates. Once aggregates formed, continuous fibronectin polymerization was necessary to maintain cohesion. During self-assembly, soluble fibronectin decreased cell-substrate adhesion strength and induced aggregate cohesion via a Rho-dependent mechanism, suggesting that the balance of contractile forces derived from fibronectin fibrils within cell-cell versus cell-substrate adhesions controls self-assembly and aggregate cohesion. Thus, initial cell-substrate attachment strength may provide a quantitative basis with which to build predictive models of fibronectin-mediated microtissue fabrication on a variety of substrates. STATEMENT OF SIGNIFICANCE Cellular self-assembly is a process by which cells and extracellular matrix (ECM) proteins spontaneously organize into three-dimensional (3D) tissues in the absence of external forces. Cellular self-assembly can be initiated in vitro, and represents a potential tool for tissue engineers to organize cells into modular building blocks for artificial tissue fabrication. Fibronectin is an ECM protein that plays a key role in tissue formation during embryonic development. Additionally, the cell-mediated process of converting soluble fibronectin into insoluble, ECM-associated fibrils has been shown to initiate cellular self-assembly in vitro. In this study, we examine the relationship between the strength of cell-substrate adhesions and the ability of fibronectin fibril assembly to induce cellular self-assembly. Our results indicate that substrate composition and density play cooperative roles with cell-mediated fibronectin matrix assembly to control the transition of cells from 2D monolayers into 3D multicellular aggregates. Results of this study provide a quantitative approach to build predictive models of cellular self-assembly, as well as a simple cell-culture platform to produce biomimetic units for modular tissue engineering.
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Affiliation(s)
- James R Brennan
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA
| | - Denise C Hocking
- Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA; Department of Pharmacology and Physiology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
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105
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Namkoong B, Güven S, Ramesan S, Liaudanskaya V, Abzhanov A, Demirci U. Recapitulating cranial osteogenesis with neural crest cells in 3-D microenvironments. Acta Biomater 2016; 31:301-311. [PMID: 26675129 DOI: 10.1016/j.actbio.2015.12.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 11/11/2015] [Accepted: 12/02/2015] [Indexed: 01/20/2023]
Abstract
The experimental systems that recapitulate the complexity of native tissues and enable precise control over the microenvironment are becoming essential for the pre-clinical tests of therapeutics and tissue engineering. Here, we described a strategy to develop an in vitro platform to study the developmental biology of craniofacial osteogenesis. In this study, we directly osteo-differentiated cranial neural crest cells (CNCCs) in a 3-D in vitro bioengineered microenvironment. Cells were encapsulated in the gelatin-based photo-crosslinkable hydrogel and cultured up to three weeks. We demonstrated that this platform allows efficient differentiation of p75 positive CNCCs to cells expressing osteogenic markers corresponding to the sequential developmental phases of intramembranous ossification. During the course of culture, we observed a decrease in the expression of early osteogenic marker Runx2, while the other mature osteoblast and osteocyte markers such as Osterix, Osteocalcin, Osteopontin and Bone sialoprotein increased. We analyzed the ossification of the secreted matrix with alkaline phosphatase and quantified the newly secreted hydroxyapatite. The Field Emission Scanning Electron Microscope (FESEM) images of the bioengineered hydrogel constructs revealed the native-like osteocytes, mature osteoblasts, and cranial bone tissue morphologies with canaliculus-like intercellular connections. This platform provides a broadly applicable model system to potentially study diseases involving primarily embryonic craniofacial bone disorders, where direct diagnosis and adequate animal disease models are limited.
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Affiliation(s)
- Bumjin Namkoong
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA
| | - Sinan Güven
- Demirci BAMM Labs, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, Department of Electrical Engineering (By courtesy), Stanford School of Medicine, Palo Alto, CA 94304, USA; Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, Balcova, 35350 Izmir, Turkey
| | - Shwathy Ramesan
- Demirci BAMM Labs, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Volha Liaudanskaya
- Demirci BAMM Labs, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, Department of Electrical Engineering (By courtesy), Stanford School of Medicine, Palo Alto, CA 94304, USA
| | - Arhat Abzhanov
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Current address: Department of Life Sciences, Imperial College London, Silwood Park Campus Buckhurst Road, Ascot, Berkshire SL5 7PY, United Kingdom; Current address: Natural History Museum, Cromwell Road, London SW7 5BD, United Kingdom.
| | - Utkan Demirci
- Demirci BAMM Labs, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, Department of Electrical Engineering (By courtesy), Stanford School of Medicine, Palo Alto, CA 94304, USA; Demirci BAMM Labs, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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106
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Li XL, Oduola WO, Qian L, Dougherty ER. Integrating Multiscale Modeling with Drug Effects for Cancer Treatment. Cancer Inform 2016; 14:21-31. [PMID: 26792977 PMCID: PMC4712979 DOI: 10.4137/cin.s30797] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 11/08/2015] [Accepted: 11/15/2015] [Indexed: 12/12/2022] Open
Abstract
In this paper, we review multiscale modeling for cancer treatment with the incorporation of drug effects from an applied system's pharmacology perspective. Both the classical pharmacology and systems biology are inherently quantitative; however, systems biology focuses more on networks and multi factorial controls over biological processes rather than on drugs and targets in isolation, whereas systems pharmacology has a strong focus on studying drugs with regard to the pharmacokinetic (PK) and pharmacodynamic (PD) relations accompanying drug interactions with multiscale physiology as well as the prediction of dosage-exposure responses and economic potentials of drugs. Thus, it requires multiscale methods to address the need for integrating models from the molecular levels to the cellular, tissue, and organism levels. It is a common belief that tumorigenesis and tumor growth can be best understood and tackled by employing and integrating a multifaceted approach that includes in vivo and in vitro experiments, in silico models, multiscale tumor modeling, continuous/discrete modeling, agent-based modeling, and multiscale modeling with PK/PD drug effect inputs. We provide an example application of multiscale modeling employing stochastic hybrid system for a colon cancer cell line HCT-116 with the application of Lapatinib drug. It is observed that the simulation results are similar to those observed from the setup of the wet-lab experiments at the Translational Genomics Research Institute.
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Affiliation(s)
- Xiangfang L. Li
- Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA
| | - Wasiu O. Oduola
- Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA
| | - Lijun Qian
- Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA
| | - Edward R. Dougherty
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
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107
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Groll J, Boland T, Blunk T, Burdick JA, Cho DW, Dalton PD, Derby B, Forgacs G, Li Q, Mironov VA, Moroni L, Nakamura M, Shu W, Takeuchi S, Vozzi G, Woodfield TBF, Xu T, Yoo JJ, Malda J. Biofabrication: reappraising the definition of an evolving field. Biofabrication 2016; 8:013001. [DOI: 10.1088/1758-5090/8/1/013001] [Citation(s) in RCA: 408] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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108
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Bouyer C, Chen P, Güven S, Demirtaş TT, Nieland TJF, Padilla F, Demirci U. A Bio-Acoustic Levitational (BAL) Assembly Method for Engineering of Multilayered, 3D Brain-Like Constructs, Using Human Embryonic Stem Cell Derived Neuro-Progenitors. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2016; 28:161-7. [PMID: 26554659 DOI: 10.1002/adma.201503916] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Revised: 09/14/2015] [Indexed: 05/27/2023]
Abstract
A bio-acoustic levitational assembly method for engineering of multilayered, 3D brainlike constructs is presented. Acoustic radiation forces are used to levitate neuroprogenitors derived from human embryonic stem cells in 3D multilayered fibrin tissue constructs. The neuro-progenitor cells are subsequently differentiated in neural cells, resulting in a 3D neuronal construct with inter and intralayer neurite elongations.
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Affiliation(s)
- Charlène Bouyer
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
- Inserm, U1032, LabTau, University of Lyon, Lyon, F-69003, France
- LabEx DEVweCAN, University of Lyon, Lyon, F-69003, France
| | - Pu Chen
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
| | - Sinan Güven
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
| | - Tuğrul Tolga Demirtaş
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
| | - Thomas J F Nieland
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
| | - Frédéric Padilla
- Inserm, U1032, LabTau, University of Lyon, Lyon, F-69003, France
- LabEx DEVweCAN, University of Lyon, Lyon, F-69003, France
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA
- Department of Electrical Engineering (By Courtesy), Stanford University, Stanford, CA, 94305, USA
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109
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Knowlton S, Cho Y, Li XJ, Khademhosseini A, Tasoglu S. Utilizing stem cells for three-dimensional neural tissue engineering. Biomater Sci 2016; 4:768-84. [DOI: 10.1039/c5bm00324e] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Three-dimensional neural tissue engineering has significantly advanced the development of neural disease models and replacement tissues for patients by leveraging the unique capabilities of stem cells.
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Affiliation(s)
| | - Yongku Cho
- Department of Chemical & Biomolecular Engineering
- University of Connecticut
- Storrs
- USA
| | - Xue-Jun Li
- Department of Neuroscience
- University of Connecticut Health Center
- Farmington
- USA
| | - Ali Khademhosseini
- Center for Biomedical Engineering
- Department of Medicine
- Brigham and Women's Hospital Harvard Medical School
- Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology
- Cambridge
| | - Savas Tasoglu
- Department of Biomedical Engineering
- University of Connecticut
- Storrs
- USA
- Department of Mechanical Engineering
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110
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Asghar W, El Assal R, Shafiee H, Pitteri S, Paulmurugan R, Demirci U. Engineering cancer microenvironments for in vitro 3-D tumor models. MATERIALS TODAY (KIDLINGTON, ENGLAND) 2015; 18:539-553. [PMID: 28458612 PMCID: PMC5407188 DOI: 10.1016/j.mattod.2015.05.002] [Citation(s) in RCA: 212] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
The natural microenvironment of tumors is composed of extracellular matrix (ECM), blood vasculature, and supporting stromal cells. The physical characteristics of ECM as well as the cellular components play a vital role in controlling cancer cell proliferation, apoptosis, metabolism, and differentiation. To mimic the tumor microenvironment outside the human body for drug testing, two-dimensional (2-D) and murine tumor models are routinely used. Although these conventional approaches are employed in preclinical studies, they still present challenges. For example, murine tumor models are expensive and difficult to adopt for routine drug screening. On the other hand, 2-D in vitro models are simple to perform, but they do not recapitulate natural tumor microenvironment, because they do not capture important three-dimensional (3-D) cell-cell, cell-matrix signaling pathways, and multi-cellular heterogeneous components of the tumor microenvironment such as stromal and immune cells. The three-dimensional (3-D) in vitro tumor models aim to closely mimic cancer microenvironments and have emerged as an alternative to routinely used methods for drug screening. Herein, we review recent advances in 3-D tumor model generation and highlight directions for future applications in drug testing.
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Affiliation(s)
- Waseem Asghar
- Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratories, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
- Department of Computer Engineering & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA
| | - Rami El Assal
- Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratories, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
| | - Hadi Shafiee
- Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratories, Division of Biomedical Engineering, Division of Infectious Diseases, Renal Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
| | - Sharon Pitteri
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
| | - Ramasamy Paulmurugan
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
| | - Utkan Demirci
- Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratories, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
- Demirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratories, Division of Biomedical Engineering, Division of Infectious Diseases, Renal Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA 02139, USA
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, CA 94304, USA
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111
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Abstract
Organ and tissue loss through disease and injury motivate the development of therapies that can regenerate tissues and decrease reliance on transplantations. Regenerative medicine, an interdisciplinary field that applies engineering and life science principles to promote regeneration, can potentially restore diseased and injured tissues and whole organs. Since the inception of the field several decades ago, a number of regenerative medicine therapies, including those designed for wound healing and orthopedics applications, have received Food and Drug Administration (FDA) approval and are now commercially available. These therapies and other regenerative medicine approaches currently being studied in preclinical and clinical settings will be covered in this review. Specifically, developments in fabricating sophisticated grafts and tissue mimics and technologies for integrating grafts with host vasculature will be discussed. Enhancing the intrinsic regenerative capacity of the host by altering its environment, whether with cell injections or immune modulation, will be addressed, as well as methods for exploiting recently developed cell sources. Finally, we propose directions for current and future regenerative medicine therapies.
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Affiliation(s)
- Angelo S Mao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; Wyss Institute for Biologically Inspired Engineering at Harvard University, Cambridge, MA 02138
| | - David J Mooney
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; Wyss Institute for Biologically Inspired Engineering at Harvard University, Cambridge, MA 02138
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112
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Chen P, Güven S, Usta OB, Yarmush ML, Demirci U. Biotunable acoustic node assembly of organoids. Adv Healthc Mater 2015; 4:1937-43. [PMID: 26149464 PMCID: PMC4731612 DOI: 10.1002/adhm.201500279] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 05/21/2015] [Indexed: 11/06/2022]
Abstract
Bioengineering of 3D microtissues from cell spheroids is demonstrated by employing the vibration of acoustic standing waves and its hydrodynamic effect at the bottom of a liquid-carrier chamber. A large number of cell spheroids (>10(4) ) are assembled in seconds into a closely packed structure in a scaffold-free fashion under nodal pattern of the standing waves in a fluidic environment.
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Affiliation(s)
- Pu Chen
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304
| | - Sinan Güven
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304
| | - Osman Berk Usta
- Center for Engineering in Medicine at Massachusetts General Hospital, Harvard Medical School and Shriners Hospital for Children, 51 Blossom St., Boston, MA, 02114
| | - Martin L Yarmush
- Center for Engineering in Medicine at Massachusetts General Hospital, Harvard Medical School and Shriners Hospital for Children, 51 Blossom St., Boston, MA, 02114
- Department of Biomedical Engineering, Rutgers University, 599 Taylor Rd., Piscataway, NJ 08854
| | - Utkan Demirci
- Bio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford for Early Cancer Detection, Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA 94304
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113
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Akkouch A, Yu Y, Ozbolat IT. Microfabrication of scaffold-free tissue strands for three-dimensional tissue engineering. Biofabrication 2015; 7:031002. [PMID: 26373778 DOI: 10.1088/1758-5090/7/3/031002] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
In this note, we report a practical and efficient method based on a coaxial extrusion and microinjection technique for biofabrication of scaffold-free tissue strands. Tissue strands were obtained using tubular alginate conduits as mini-capsules with well-defined permeability and mechanical properties, where their removal by ionic decrosslinking allowed the formation of scaffold-free cell aggregates in the form of cylindrical strands with well-defined morphology and geometry. Rat dermal fibroblasts and mouse insulinoma beta TC3 cells were used to fabricate both single-cellular and heterocellular tissue strands with high cell viability, self-assembling capability and the ability to express cell-specific functional markers. By taking advantage of tissue self-assembly, we succeeded in guiding the fusion of tissue strands to fabricate larger tissue patches. The presented approach enables fabrication of cell aggregates with controlled dimensions allowing highly long strands, which can be used for various applications, including fabrication of scale-up complex tissues and of tissue models for drug screening and cancer studies.
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Affiliation(s)
- Adil Akkouch
- Biomanufacturing Laboratory, Center for Computer-Aided Design, The University of Iowa, IA City, USA
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114
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Collins DJ, Neild A, deMello A, Liu AQ, Ai Y. The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation. LAB ON A CHIP 2015; 15:3439-59. [PMID: 26226550 DOI: 10.1039/c5lc00614g] [Citation(s) in RCA: 313] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
There is a recognized and growing need for rapid and efficient cell assays, where the size of microfluidic devices lend themselves to the manipulation of cellular populations down to the single cell level. An exceptional way to analyze cells independently is to encapsulate them within aqueous droplets surrounded by an immiscible fluid, so that reagents and reaction products are contained within a controlled microenvironment. Most cell encapsulation work has focused on the development and use of passive methods, where droplets are produced continuously at high rates by pumping fluids from external pressure-driven reservoirs through defined microfluidic geometries. With limited exceptions, the number of cells encapsulated per droplet in these systems is dictated by Poisson statistics, reducing the proportion of droplets that contain the desired number of cells and thus the effective rate at which single cells can be encapsulated. Nevertheless, a number of recently developed actively-controlled droplet production methods present an alternative route to the production of droplets at similar rates and with the potential to improve the efficiency of single-cell encapsulation. In this critical review, we examine both passive and active methods for droplet production and explore how these can be used to deterministically and non-deterministically encapsulate cells.
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Affiliation(s)
- David J Collins
- Engineering Product Design pillar, Singapore University of Technology and Design, Singapore.
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115
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Abstract
Bioprinting offers the ability to create highly complex 3D architectures with living cells. This cutting-edge technique has significantly gained popularity and applicability in several fields. Bioprinting methods have been developed to effectively and rapidly pattern living cells, biological macromolecules, and biomaterials. These technologies hold great potential for applications in cancer research. Bioprinted cancer models represent a significant improvement over previous 2D models by mimicking 3D complexity and facilitating physiologically relevant cell-cell and cell-matrix interactions. Here we review bioprinting methods based on inkjet, microextrusion, and laser technologies and compare 3D cancer models with 2D cancer models. We discuss bioprinted models that mimic the tumor microenvironment, providing a platform for deeper understanding of cancer pathology, anticancer drug screening, and cancer treatment development.
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Affiliation(s)
- Stephanie Knowlton
- Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs, CT 06269, USA
| | - Sevgi Onal
- Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs, CT 06269, USA
| | - Chu Hsiang Yu
- Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Storrs, CT 06269, USA
| | - Jean J Zhao
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; Cancer Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Savas Tasoglu
- Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs, CT 06269, USA; Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Storrs, CT 06269, USA.
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