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Cheung BCH, Abbed RJ, Wu M, Leggett SE. 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids. Annu Rev Biomed Eng 2024; 26:93-118. [PMID: 38316064 DOI: 10.1146/annurev-bioeng-103122-031130] [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] [Indexed: 02/07/2024]
Abstract
Cell traction force plays a critical role in directing cellular functions, such as proliferation, migration, and differentiation. Current understanding of cell traction force is largely derived from 2D measurements where cells are plated on 2D substrates. However, 2D measurements do not recapitulate a vital aspect of living systems; that is, cells actively remodel their surrounding extracellular matrix (ECM), and the remodeled ECM, in return, can have a profound impact on cell phenotype and traction force generation. This reciprocal adaptivity of living systems is encoded in the material properties of biological gels. In this review, we summarize recent progress in measuring cell traction force for cells embedded within 3D biological gels, with an emphasis on cell-ECM cross talk. We also provide perspectives on tools and techniques that could be adapted to measure cell traction force in complex biochemical and biophysical environments.
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Affiliation(s)
- Brian C H Cheung
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York, USA;
| | - Rana J Abbed
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
| | - Mingming Wu
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, New York, USA;
| | - Susan E Leggett
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
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2
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Cheung BCH, Chen X, Davis HJ, Nordmann CS, Toth J, Hodgson L, Segall JE, Shenoy VB, Wu M. Identification of CD44 as a key mediator of cell traction force generation in hyaluronic acid-rich extracellular matrices. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.24.563860. [PMID: 37961689 PMCID: PMC10634813 DOI: 10.1101/2023.10.24.563860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Mechanical properties of the extracellular matrix (ECM) critically regulate a number of important cell functions including growth, differentiation and migration. Type I collagen and glycosaminoglycans (GAGs) are two primary components of ECMs that contribute to mammalian tissue mechanics, with the collagen fiber network sustaining tension, and GAGs withstanding compression. The architecture and stiffness of the collagen network are known to be important for cell-ECM mechanical interactions via integrin cell surface adhesion receptors. In contrast, studies of GAGs in modulating cell-ECM interactions are limited. Here, we present experimental studies on the roles of hyaluronic acid (HA, an unsulfated GAG) in single tumor cell traction force generation using a recently developed 3D cell traction force microscopy method. Our work reveals that CD44, a cell surface adhesion receptor to HA, is engaged in cell traction force generation in conjunction with β1-integrin. We find that HA significantly modifies the architecture and mechanics of the collagen fiber network, decreasing tumor cells' propensity to remodel the collagen network, attenuating traction force generation, transmission distance, and tumor invasion. Our findings point to a novel role for CD44 in traction force generation, which can be a potential therapeutic target for diseases involving HA rich ECMs such as breast cancer and glioblastoma.
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3
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Xu KL, Di Caprio N, Fallahi H, Dehghany M, Davidson MD, Laforest L, Cheung BCH, Zhang Y, Wu M, Shenoy V, Han L, Mauck RL, Burdick JA. Microinterfaces in biopolymer-based bicontinuous hydrogels guide rapid 3D cell migration. Nat Commun 2024; 15:2766. [PMID: 38553465 PMCID: PMC10980809 DOI: 10.1038/s41467-024-46774-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 03/08/2024] [Indexed: 04/02/2024] Open
Abstract
Cell migration is critical for tissue development and regeneration but requires extracellular environments that are conducive to motion. Cells may actively generate migratory routes in vivo by degrading or remodeling their environments or instead utilize existing extracellular matrix microstructures or microtracks as innate pathways for migration. While hydrogels in general are valuable tools for probing the extracellular regulators of 3-dimensional migration, few recapitulate these natural migration paths. Here, we develop a biopolymer-based bicontinuous hydrogel system that comprises a covalent hydrogel of enzymatically crosslinked gelatin and a physical hydrogel of guest and host moieties bonded to hyaluronic acid. Bicontinuous hydrogels form through controlled solution immiscibility, and their continuous subdomains and high micro-interfacial surface area enable rapid 3D migration, particularly when compared to homogeneous hydrogels. Migratory behavior is mesenchymal in nature and regulated by biochemical and biophysical signals from the hydrogel, which is shown across various cell types and physiologically relevant contexts (e.g., cell spheroids, ex vivo tissues, in vivo tissues). Our findings introduce a design that leverages important local interfaces to guide rapid cell migration.
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Affiliation(s)
- Karen L Xu
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Musculoskeletal Research Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
| | - Nikolas Di Caprio
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Hooman Fallahi
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, 19104, PA, USA
| | - Mohammad Dehghany
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Matthew D Davidson
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, 80303, USA
| | - Lorielle Laforest
- McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Musculoskeletal Research Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
| | - Brian C H Cheung
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Yuqi Zhang
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Translational Musculoskeletal Research Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA
| | - Mingming Wu
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14850, USA
| | - Vivek Shenoy
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lin Han
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, 19104, PA, USA
| | - Robert L Mauck
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Translational Musculoskeletal Research Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, 19104, USA.
| | - Jason A Burdick
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, 80303, USA.
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, 80303, USA.
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4
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Xu KL, Caprio ND, Fallahi H, Dehgany M, Davidson MD, Cheung BC, Laforest L, Wu M, Shenoy V, Han L, Mauck RL, Burdick JA. Microinterfaces in bicontinuous hydrogels guide rapid 3D cell migration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.28.559609. [PMID: 37808836 PMCID: PMC10557715 DOI: 10.1101/2023.09.28.559609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Cell migration is critical for tissue development and regeneration but requires extracellular environments that are conducive to motion. Cells may actively generate migratory routes in vivo by degrading or remodeling their environments or may instead utilize existing ECM microstructures or microtracks as innate pathways for migration. While hydrogels in general are valuable tools for probing the extracellular regulators of 3D migration, few have recapitulated these natural migration paths. Here, we developed a biopolymer-based (i.e., gelatin and hyaluronic acid) bicontinuous hydrogel system formed through controlled solution immiscibility whose continuous subdomains and high micro-interfacial surface area enabled rapid 3D migration, particularly when compared to homogeneous hydrogels. Migratory behavior was mesenchymal in nature and regulated by biochemical and biophysical signals from the hydrogel, which was shown across various cell types and physiologically relevant contexts (e.g., cell spheroids, ex vivo tissues, in vivo tissues). Our findings introduce a new design that leverages important local interfaces to guide rapid cell migration.
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5
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Witt H, Yan Z, Henann D, Franck C, Reichner J. Mechanosensitive traction force generation is regulated by the neutrophil activation state. Sci Rep 2023; 13:11098. [PMID: 37423937 DOI: 10.1038/s41598-023-37997-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/30/2023] [Indexed: 07/11/2023] Open
Abstract
The generation of traction forces by neutrophils regulates many crucial effector functions responsible for host defense, such as attachment, spreading, migration, phagocytosis, and NETosis. The activation state of the cell is a strong determinant of the functional efficacy of the neutrophil; however, the effect of activation on traction force production has not yet been determined experimentally. Previously, the mapping of cellular-generated forces produced by human neutrophils via a Traction Force Microscopy (TFM) method has required a three-dimensional imaging modality to capture out-of-plane forces, such as confocal or multiphoton techniques. A method newly developed in our laboratories can capture out-of-plane forces using only a two-dimensional imaging modality. This novel technique-combined with a topology-based single particle tracking algorithm and finite element method calculations-can construct high spatial frequency three-dimensional traction fields, allowing for traction forces in-plane and out-of-plane to the substrate to now be differentially visualized and quantified with a standard epifluorescence microscope. Here we apply this technology to determine the effect of neutrophil activation on force generation. Sepsis is a systemic inflammatory response that causes dysregulated neutrophil activation in vivo. We found that neutrophils from septic patients produced greater total forces than neutrophils from healthy donors and that the majority of this dysregulation occurred in-plane to the substrate. Ex vivo activation of neutrophils from healthy donors showed differential consequences depending on activation stimuli with mechanosensitive force decreases observed in some cases. These findings demonstrate the feasibility of epifluorescence-based microscopy in mapping traction forces to ask biologically significant questions regarding neutrophil function.
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Affiliation(s)
- Hadley Witt
- Graduate Program in Pathobiology, Brown University, Providence, RI, 02912, USA.
- Division of Surgical Research, Department of Surgery, Rhode Island Hospital, Providence, RI, 02903, USA.
| | - Zicheng Yan
- School of Engineering, Brown University, Providence, RI, 02912, USA
| | - David Henann
- School of Engineering, Brown University, Providence, RI, 02912, USA
| | - Christian Franck
- Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Jonathan Reichner
- Division of Surgical Research, Department of Surgery, Rhode Island Hospital, Providence, RI, 02903, USA.
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6
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Yang H, Berthier E, Li C, Ronceray P, Han YL, Broedersz CP, Cai S, Guo M. Local response and emerging nonlinear elastic length scale in biopolymer matrices. Proc Natl Acad Sci U S A 2023; 120:e2304666120. [PMID: 37252962 PMCID: PMC10265995 DOI: 10.1073/pnas.2304666120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 04/16/2023] [Indexed: 06/01/2023] Open
Abstract
Nonlinear stiffening is a ubiquitous property of major types of biopolymers that make up the extracellular matrices (ECM) including collagen, fibrin, and basement membrane. Within the ECM, many types of cells such as fibroblasts and cancer cells have a spindle-like shape that acts like two equal and opposite force monopoles, which anisotropically stretch their surroundings and locally stiffen the matrix. Here, we first use optical tweezers to study the nonlinear force-displacement response to localized monopole forces. We then propose an effective-probe scaling argument that a local point force application can induce a stiffened region in the matrix, which can be characterized by a nonlinear length scale R* that increases with the increasing force magnitude; the local nonlinear force-displacement response is a result of the nonlinear growth of this effective probe that linearly deforms an increasing portion of the surrounding matrix. Furthermore, we show that this emerging nonlinear length scale R* can be observed around living cells and can be perturbed by varying matrix concentration or inhibiting cell contractility.
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Affiliation(s)
- Haiqian Yang
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Estelle Berthier
- Arnold-Sommerfeld-Center for Theoretical Physics and Center for NanoScience, Ludwig-Maximilians-Universität München, MünchenD-80333, Germany
| | - Chenghai Li
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA92093
| | - Pierre Ronceray
- Aix Marseille University, CNRS, CINAM, Turing Center for Living Systems, 13288Marseille, France
| | - Yu Long Han
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Chase P. Broedersz
- Arnold-Sommerfeld-Center for Theoretical Physics and Center for NanoScience, Ludwig-Maximilians-Universität München, MünchenD-80333, Germany
- Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam1081 HV, The Netherlands
| | - Shengqiang Cai
- Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA92093
| | - Ming Guo
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA02139
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7
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Torres-García E, Pinto-Cámara R, Linares A, Martínez D, Abonza V, Brito-Alarcón E, Calcines-Cruz C, Valdés-Galindo G, Torres D, Jabloñski M, Torres-Martínez HH, Martínez JL, Hernández HO, Ocelotl-Oviedo JP, Garcés Y, Barchi M, D’Antuono R, Bošković A, Dubrovsky JG, Darszon A, Buffone MG, Morales RR, Rendon-Mancha JM, Wood CD, Hernández-García A, Krapf D, Crevenna ÁH, Guerrero A. Extending resolution within a single imaging frame. Nat Commun 2022; 13:7452. [PMID: 36460648 PMCID: PMC9718789 DOI: 10.1038/s41467-022-34693-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 10/27/2022] [Indexed: 12/05/2022] Open
Abstract
The resolution of fluorescence microscopy images is limited by the physical properties of light. In the last decade, numerous super-resolution microscopy (SRM) approaches have been proposed to deal with such hindrance. Here we present Mean-Shift Super Resolution (MSSR), a new SRM algorithm based on the Mean Shift theory, which extends spatial resolution of single fluorescence images beyond the diffraction limit of light. MSSR works on low and high fluorophore densities, is not limited by the architecture of the optical setup and is applicable to single images as well as temporal series. The theoretical limit of spatial resolution, based on optimized real-world imaging conditions and analysis of temporal image stacks, has been measured to be 40 nm. Furthermore, MSSR has denoising capabilities that outperform other SRM approaches. Along with its wide accessibility, MSSR is a powerful, flexible, and generic tool for multidimensional and live cell imaging applications.
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Affiliation(s)
- Esley Torres-García
- grid.412873.b0000 0004 0484 1712Centro de Investigación en Ciencias, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos Mexico ,grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Raúl Pinto-Cámara
- grid.412873.b0000 0004 0484 1712Centro de Investigación en Ciencias, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos Mexico ,grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Alejandro Linares
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico ,grid.144532.5000000012169920XAnalytical and Quantitative Light Microscopy, Marine Biological Laboratory, Woods Hole, MA USA
| | - Damián Martínez
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Víctor Abonza
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Eduardo Brito-Alarcón
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Carlos Calcines-Cruz
- grid.9486.30000 0001 2159 0001Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Gustavo Valdés-Galindo
- grid.9486.30000 0001 2159 0001Departamento de Química de Biomacromoléculas, Instituto de Química. Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - David Torres
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Martina Jabloñski
- grid.464644.00000 0004 0637 7271Instituto de Biología y Medicina Experimental (IBYME‐CONICET), Buenos Aires, Argentina
| | - Héctor H. Torres-Martínez
- grid.9486.30000 0001 2159 0001Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - José L. Martínez
- grid.9486.30000 0001 2159 0001Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Haydee O. Hernández
- grid.9486.30000 0001 2159 0001Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - José P. Ocelotl-Oviedo
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Yasel Garcés
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico ,grid.9486.30000 0001 2159 0001Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Marco Barchi
- grid.6530.00000 0001 2300 0941Department of Biomedicine and Prevention, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
| | | | - Ana Bošković
- grid.418924.20000 0004 0627 3632Neurobiology and Epigenetics Unit, European Molecular Biology Laboratory, Monterotondo, Rome Italy
| | - Joseph G. Dubrovsky
- grid.9486.30000 0001 2159 0001Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Alberto Darszon
- grid.9486.30000 0001 2159 0001Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Mariano G. Buffone
- grid.464644.00000 0004 0637 7271Instituto de Biología y Medicina Experimental (IBYME‐CONICET), Buenos Aires, Argentina
| | - Roberto Rodríguez Morales
- grid.472559.80000 0004 0498 8706Instituto de Cibernética, Matemática y Física, Ciudad de la Habana, Cuba
| | - Juan Manuel Rendon-Mancha
- grid.412873.b0000 0004 0484 1712Centro de Investigación en Ciencias, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos Mexico
| | - Christopher D. Wood
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
| | - Armando Hernández-García
- grid.9486.30000 0001 2159 0001Departamento de Química de Biomacromoléculas, Instituto de Química. Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Diego Krapf
- grid.47894.360000 0004 1936 8083Electrical and Computer Engineering and School of Biomedical Engineering, Colorado State University, Fort Collins, CO USA
| | - Álvaro H. Crevenna
- grid.418924.20000 0004 0627 3632Neurobiology and Epigenetics Unit, European Molecular Biology Laboratory, Monterotondo, Rome Italy
| | - Adán Guerrero
- grid.9486.30000 0001 2159 0001Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos Mexico
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8
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Li Y, Wong IY, Guo M. Reciprocity of Cell Mechanics with Extracellular Stimuli: Emerging Opportunities for Translational Medicine. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107305. [PMID: 35319155 PMCID: PMC9463119 DOI: 10.1002/smll.202107305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/20/2022] [Indexed: 06/14/2023]
Abstract
Human cells encounter dynamic mechanical cues in healthy and diseased tissues, which regulate their molecular and biophysical phenotype, including intracellular mechanics as well as force generation. Recent developments in bio/nanomaterials and microfluidics permit exquisitely sensitive measurements of cell mechanics, as well as spatiotemporal control over external mechanical stimuli to regulate cell behavior. In this review, the mechanobiology of cells interacting bidirectionally with their surrounding microenvironment, and the potential relevance for translational medicine are considered. Key fundamental concepts underlying the mechanics of living cells as well as the extracelluar matrix are first introduced. Then the authors consider case studies based on 1) microfluidic measurements of nonadherent cell deformability, 2) cell migration on micro/nano-topographies, 3) traction measurements of cells in three-dimensional (3D) matrix, 4) mechanical programming of organoid morphogenesis, as well as 5) active mechanical stimuli for potential therapeutics. These examples highlight the promise of disease diagnosis using mechanical measurements, a systems-level understanding linking molecular with biophysical phenotype, as well as therapies based on mechanical perturbations. This review concludes with a critical discussion of these emerging technologies and future directions at the interface of engineering, biology, and medicine.
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Affiliation(s)
- Yiwei Li
- Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei, 430074, China
| | - Ian Y Wong
- School of Engineering, Center for Biomedical Engineering, Joint Program in Cancer Biology, Brown University, 184 Hope St Box D, Providence, RI, 02912, USA
| | - Ming Guo
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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9
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Jia Z, Deng Z, Li L. Biomineralized Materials as Model Systems for Structural Composites: 3D Architecture. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2106259. [PMID: 35085421 DOI: 10.1002/adma.202106259] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 12/23/2021] [Indexed: 06/14/2023]
Abstract
Biomineralized materials are sophisticated material systems with hierarchical 3D material architectures, which are broadly used as model systems for fundamental mechanical, materials science, and biomimetic studies. The current knowledge of the structure of biological materials is mainly based on 2D imaging, which often impedes comprehensive and accurate understanding of the materials' intricate 3D microstructure and consequently their mechanics, functions, and bioinspired designs. The development of 3D techniques such as tomography, additive manufacturing, and 4D testing has opened pathways to study biological materials fully in 3D. This review discusses how applying 3D techniques can provide new insights into biomineralized materials that are either well known or possess complex microstructures that are challenging to understand in the 2D framework. The diverse structures of biomineralized materials are characterized based on four universal structural motifs. Nacre is selected as an example to demonstrate how the progression of knowledge from 2D to 3D can bring substantial improvements to understanding the growth mechanism, biomechanics, and bioinspired designs. State-of-the-art multiscale 3D tomographic techniques are discussed with a focus on their integration with 3D geometric quantification, 4D in situ experiments, and multiscale modeling. Outlook is given on the emerging approaches to investigate the synthesis-structure-function-biomimetics relationship.
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Affiliation(s)
- Zian Jia
- Department of Mechanical Engineering, Virginia Polytechnic Institute of Technology and State University, Blacksburg, VA, 24061, USA
| | - Zhifei Deng
- Department of Mechanical Engineering, Virginia Polytechnic Institute of Technology and State University, Blacksburg, VA, 24061, USA
| | - Ling Li
- Department of Mechanical Engineering, Virginia Polytechnic Institute of Technology and State University, Blacksburg, VA, 24061, USA
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10
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Haarman SE, Kim SY, Isogai T, Dean KM, Han SJ. Particle retracking algorithm capable of quantifying large, local matrix deformation for traction force microscopy. PLoS One 2022; 17:e0268614. [PMID: 35731725 PMCID: PMC9216574 DOI: 10.1371/journal.pone.0268614] [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: 09/03/2021] [Accepted: 05/04/2022] [Indexed: 11/18/2022] Open
Abstract
Deformation measurement is a key process in traction force microscopy (TFM). Conventionally, particle image velocimetry (PIV) or correlation-based particle tracking velocimetry (cPTV) have been used for such a purpose. Using simulated bead images, we show that those methods fail to capture large displacement vectors and that it is due to a poor cross-correlation. Here, to redeem the potential large vectors, we propose a two-step deformation tracking algorithm that combines cPTV, which performs better for small displacements than PIV methods, and newly-designed retracking algorithm that exploits statistically confident vectors from the initial cPTV to guide the selection of correlation peak which are not necessarily the global maximum. As a result, the new method, named 'cPTV-Retracking', or cPTVR, was able to track more than 92% of large vectors whereas conventional methods could track 43-77% of those. Correspondingly, traction force reconstructed from cPTVR showed better recovery of large traction than the old methods. cPTVR applied on the experimental bead images has shown a better resolving power of the traction with different-sized cell-matrix adhesions than conventional methods. Altogether, cPTVR method enhances the accuracy of TFM in the case of large deformations present in soft substrates. We share this advance via our TFMPackage software.
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Affiliation(s)
- Samuel E Haarman
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - Sue Y Kim
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America
| | - Tadamoto Isogai
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Kevin M Dean
- Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Sangyoon J Han
- Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America.,Department of Mechanical Engineering and Engineering Mechanics, Michigan Technological University, Houghton, MI, United States of America
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He C, Wei X, Liang T, Liu M, Jiang D, Zhuang L, Wang P. Quantifying the Compressive Force of 3D Cardiac Tissues via Calculating the Volumetric Deformation of Built-In Elastic Gelatin Microspheres. Adv Healthc Mater 2021; 10:e2001716. [PMID: 34197053 DOI: 10.1002/adhm.202001716] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/30/2020] [Indexed: 01/28/2023]
Abstract
Quantifying cardiac contractile force is of paramount important in studying mechanical heart failure and screening therapeutic drugs. However, most existing methods can only measure the in-plane component of twitch force of cardiomyocytes, such that mismatching the centripetal compressive stress of heart beating in physiology. Here, a non-destructive method is developed for quantifying the compressive stress and mapping the distribution of the local stress within the 3D cardiac tissues. In detail, elastic gelatin microspheres labeled with fluorescence beads are fabricated by microfluidic chips with high throughput, and they serve as built-in pressure sensors which are wrapped by cardiomyocytes in 3D tissues. The deformation of microspheres and the displacements of fluorescent beads induced by the contraction of cardiomyocytes are demonstrated to characterize the amount and distribution of the centripetal compressive stress. Further, the method shows a potent capability to locally quantify contractile force variation of 3D cardiac tissues, which is induced by agonist (norepinephrine) and inhibitor (blebbistatin). On the whole, the method significantly improves the 3D measurement of mechanical force in vitro and provides a solution for locally quantifying the compressive stress within engineered cardiac tissues.
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Affiliation(s)
- Chuanjiang He
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
- State Key Laboratory of Transducer Technology Chinese Academy of Sciences Shanghai 200050 China
| | - Xinwei Wei
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
| | - Tao Liang
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
| | - Mengxue Liu
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
| | - Deming Jiang
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
| | - Liujing Zhuang
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
| | - Ping Wang
- Biosensor National Special Laboratory Key Laboratory for Biomedical Engineering Ministry of Education Department of Biomedical Engineering Zhejiang University Hangzhou 310027 China
- State Key Laboratory of Transducer Technology Chinese Academy of Sciences Shanghai 200050 China
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12
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Epifluorescence-based three-dimensional traction force microscopy. Sci Rep 2020; 10:16599. [PMID: 33024138 PMCID: PMC7538907 DOI: 10.1038/s41598-020-72931-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 09/04/2020] [Indexed: 02/02/2023] Open
Abstract
We introduce a novel method to compute three-dimensional (3D) displacements and both in-plane and out-of-plane tractions on nominally planar transparent materials using standard epifluorescence microscopy. Despite the importance of out-of-plane components to fully understanding cell behavior, epifluorescence images are generally not used for 3D traction force microscopy (TFM) experiments due to limitations in spatial resolution and measuring out-of-plane motion. To extend an epifluorescence-based technique to 3D, we employ a topology-based single particle tracking algorithm to reconstruct high spatial-frequency 3D motion fields from densely seeded single-particle layer images. Using an open-source finite element (FE) based solver, we then compute the 3D full-field stress and strain and surface traction fields. We demonstrate this technique by measuring tractions generated by both single human neutrophils and multicellular monolayers of Madin–Darby canine kidney cells, highlighting its acuity in reconstructing both individual and collective cellular tractions. In summary, this represents a new, easily accessible method for calculating fully three-dimensional displacement and 3D surface tractions at high spatial frequency from epifluorescence images. We released and support the complete technique as a free and open-source code package.
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13
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Mechanophenotyping of 3D multicellular clusters using displacement arrays of rendered tractions. Proc Natl Acad Sci U S A 2020; 117:5655-5663. [PMID: 32123100 DOI: 10.1073/pnas.1918296117] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Epithelial tissues mechanically deform the surrounding extracellular matrix during embryonic development, wound repair, and tumor invasion. Ex vivo measurements of such multicellular tractions within three-dimensional (3D) biomaterials could elucidate collective dissemination during disease progression and enable preclinical testing of targeted antimigration therapies. However, past 3D traction measurements have been low throughput due to the challenges of imaging and analyzing information-rich 3D material deformations. Here, we demonstrate a method to profile multicellular clusters in a 96-well-plate format based on spatially heterogeneous contractile, protrusive, and circumferential tractions. As a case study, we profile multicellular clusters across varying states of the epithelial-mesenchymal transition, revealing a successive loss of protrusive and circumferential tractions, as well as the formation of localized contractile tractions with elongated cluster morphologies. These cluster phenotypes were biochemically perturbed by using drugs, biasing toward traction signatures of different epithelial or mesenchymal states. This higher-throughput analysis is promising to systematically interrogate and perturb aberrant mechanobiology, which could be utilized with human-patient samples to guide personalized therapies.
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Lejeune E, Khang A, Sansom J, Sacks MS. FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment. SOFTWAREX 2020; 11:100417. [PMID: 34291145 PMCID: PMC8291167 DOI: 10.1016/j.softx.2020.100417] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Tracking the deformation of fiducial markers in the vicinity of living cells embedded in compliant synthetic or biological gels is a powerful means to study cell mechanics and mechanobiology in three-dimensional environments. However, current approaches to track and quantify three-dimensional (3D) fiducial marker displacements remain ad-hoc, can be difficult to implement, and may not produce reliable results. Herein, we present a compact software package entitled "FM-Track," written in the popular Python language, to facilitate feature-based particle tracking tailored for 3D cell micromechanical environment studies. FM-Track contains functions for pre-processing images, running fiducial marker tracking, and post-processing and visualization. FM-Track can thus aid the study of cellular mechanics and mechanobiology by providing an extensible software platform to more reliably extract complex local 3D cell contractile information in transparent compliant gel systems.
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Affiliation(s)
- Emma Lejeune
- James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, United States
- The Department of Mechanical Engineering, Boston University, Boston MA, United States
| | - Alex Khang
- James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, United States
| | - Jacob Sansom
- James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, United States
- The Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin TX, United States
| | - Michael S Sacks
- James T. Willerson Center for Cardiovascular Modeling and Simulation, Oden Institute for Computational Engineering and Sciences and the Department of Biomedical Engineering, The University of Texas at Austin, Austin TX, United States
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Morita Y, Matsuo T, Maeda S, Oishi M, Oshima M. Three-dimensional displacement measurement of self-oscillating gel using digital holographic microscopy. APPLIED OPTICS 2018; 57:10541-10547. [PMID: 30645402 DOI: 10.1364/ao.57.010541] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/21/2018] [Indexed: 06/09/2023]
Abstract
To measure the 3D microdisplacement of a self-oscillating polymer gel driven by the Belousov-Zhabotinsky reaction, we propose, to the best of our knowledge, a new particle detection and tracking method based on a phase image/volume template matching using digital holographic microscopy. We demonstrate the precision of the proposed method and compare it with conventional approaches. The method is applied to 3D measurement of the motions of particles attached to the surface of an oscillating gel. Measurement results show that the local area of the gel oscillates periodically, and the motion propagates throughout the gel. Our method can measure rapid and complex 3D microdisplacement change.
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Scimone MT, Cramer III HC, Bar-Kochba E, Amezcua R, Estrada JB, Franck C. Modular approach for resolving and mapping complex neural and other cellular structures and their associated deformation fields in three dimensions. Nat Protoc 2018; 13:3042-3064. [DOI: 10.1038/s41596-018-0077-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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