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Zhang Y, Huang S, Cao Y, Li L, Yang J, Zhao M. New Opportunities for Electric Fields in Promoting Wound Healing: Collective Electrotaxis. Adv Wound Care (New Rochelle) 2024. [PMID: 38780799 DOI: 10.1089/wound.2024.0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024] Open
Abstract
Significance: It has long been hypothesized that naturally occurring electric fields (EFs) aid wound healing by guiding cell migration. Consequently, the application of EFs has significant potential for promoting wound healing. However, the mechanisms underlying the cellular response to EFs remain unclear. Recent Advances: Although the directed migration of isolated single cells under EFs has been studied for decades, only recently has experimental evidence demonstrated the distinct collective migration of large sheets of keratinocytes and corneal epithelial cells in response to applied EFs. Accumulating evidence suggests that the emergent properties of cell groups in response to EF guidance offer new opportunities for EF-assisted directional migration. Critical Issues: In this review, we provide an overview of the field of collective electrotaxis, highlighting key advances made in recent years. We also discuss advanced engineering strategies utilized to manipulate collective electrotaxis. Future Directions: We outline a series of unanswered questions in this field and propose potential applications of collective electrotaxis in developing electrical stimulation technologies for wound healing.
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Affiliation(s)
- Yan Zhang
- Department of Occupational and Environmental Health, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Shiwen Huang
- Department of Occupational and Environmental Health, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Yifei Cao
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Li Li
- Department of Respiratory Medicine, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jun Yang
- Department of Nutrition and Toxicology, Hangzhou Normal University School of Public Health, Hangzhou, China
| | - Min Zhao
- Department of Ophthalmology and Vision Science, University of California, Davis, California, USA
- Department of Dermatology, University of California, Davis, California, USA
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2
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Denisin AK, Kim H, Riedel-Kruse IH, Pruitt BL. Field Guide to Traction Force Microscopy. Cell Mol Bioeng 2024; 17:87-106. [PMID: 38737454 PMCID: PMC11082129 DOI: 10.1007/s12195-024-00801-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/26/2024] [Indexed: 05/14/2024] Open
Abstract
Introduction Traction force microscopy (TFM) is a widely used technique to measure cell contractility on compliant substrates that mimic the stiffness of human tissues. For every step in a TFM workflow, users make choices which impact the quantitative results, yet many times the rationales and consequences for making these decisions are unclear. We have found few papers which show the complete experimental and mathematical steps of TFM, thus obfuscating the full effects of these decisions on the final output. Methods Therefore, we present this "Field Guide" with the goal to explain the mathematical basis of common TFM methods to practitioners in an accessible way. We specifically focus on how errors propagate in TFM workflows given specific experimental design and analytical choices. Results We cover important assumptions and considerations in TFM substrate manufacturing, substrate mechanical properties, imaging techniques, image processing methods, approaches and parameters used in calculating traction stress, and data-reporting strategies. Conclusions By presenting a conceptual review and analysis of TFM-focused research articles published over the last two decades, we provide researchers in the field with a better understanding of their options to make more informed choices when creating TFM workflows depending on the type of cell being studied. With this review, we aim to empower experimentalists to quantify cell contractility with confidence. Supplementary Information The online version contains supplementary material available at 10.1007/s12195-024-00801-6.
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Affiliation(s)
| | - Honesty Kim
- Department of Bioengineering, Stanford University, Stanford, CA 94305 USA
- Present Address: The Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158 USA
- Department of Molecular and Cellular Biology, and (by courtesy) Departments of Biomedical Engineering, Applied Mathematics, and Physics, University of Arizona, Tucson, AZ 85721 USA
| | - Ingmar H. Riedel-Kruse
- Department of Molecular and Cellular Biology, and (by courtesy) Departments of Biomedical Engineering, Applied Mathematics, and Physics, University of Arizona, Tucson, AZ 85721 USA
| | - Beth L. Pruitt
- Departments of Bioengineering and Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106 USA
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3
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Chen YP, Shao Y, Chen PC, Li K, Li JY, Meng J, Lv CL, Liu HY, Lv C, Feng XQ, Li B. Substrate nesting guides cyst morphogenesis of human pluripotent stem cells without 3D extracellular matrix overlay. Acta Biomater 2023; 170:519-531. [PMID: 37659729 DOI: 10.1016/j.actbio.2023.08.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 08/20/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
Understanding the principles underlying the self-organization of stem cells into tissues is fundamental for deciphering human embryo development. Here, we report that, without three-dimensional (3D) extracellular matrix (ECM) overlay, human pluripotent stem cells (hPSCs) cultured on two-dimensional soft elastic substrates can self-organize into 3D cysts resembling the human epiblast sac in a stiffness-dependent manner. Our theoretical modeling predicts that this cyst organization is facilitated and guided by the spontaneous nesting of the soft substrate, which results from the adhesion-dependent mechanical interaction between cells and substrate. Such substrate nesting is sufficient for the 3D assembly and polarization of hPSCs required for cyst organization, even without 3D ECM overlay. Furthermore, we identify that the reversible substrate nesting and cyst morphogenesis also require appropriate activation of ROCK-Myosin II pathway. This indicates a unique set of tissue morphomechanical signaling mechanisms that clearly differ from the canonical cystogenic mechanism previously reported in 3D ECM. Our findings highlight an unanticipated synergy between mechanical microenvironment and mechanotransduction in controlling tissue morphogenesis and suggest a mechanics-based strategy for generation of hPSCs-derived models for early human embryogenesis. STATEMENT OF SIGNIFICANCE: Soft substrates can induce the self-organization of human pluripotent stem cells (hPSCs) into cysts without three-dimensional (3D) extracellular matrix (ECM) overlay. However, the underlying mechanisms by which soft substrate guides cystogenesis are largely unknown. This study shows that substrate nesting, resulting from cell-substrate interaction, plays an important role in cyst organization, including 3D assembly and apical-basal polarization. Additionally, actomyosin contractility mediated by the ROCK-Myosin II pathway also contributes to the substrate deformation and cyst morphology. These findings demonstrate the interplay between the mechanical microenvironment and cells in tissue morphogenesis, suggesting a mechanics-based strategy in building hPSC-derived models for early human embryo development.
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Affiliation(s)
- Yun-Ping Chen
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Yue Shao
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Peng-Cheng Chen
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Kun Li
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Jing-Yi Li
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Jie Meng
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Cheng-Lin Lv
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Hao-Yu Liu
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Cunjing Lv
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Xi-Qiao Feng
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
| | - Bo Li
- Institute of Biomechanics and Medical Engineering, Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
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4
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Zhu Y, Zhang M, Sun Q, Wang X, Li X, Li Q. Advanced Mechanical Testing Technologies at the Cellular Level: The Mechanisms and Application in Tissue Engineering. Polymers (Basel) 2023; 15:3255. [PMID: 37571149 PMCID: PMC10422338 DOI: 10.3390/polym15153255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 07/24/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
Mechanics, as a key physical factor which affects cell function and tissue regeneration, is attracting the attention of researchers in the fields of biomaterials, biomechanics, and tissue engineering. The macroscopic mechanical properties of tissue engineering scaffolds have been studied and optimized based on different applications. However, the mechanical properties of the overall scaffold materials are not enough to reveal the mechanical mechanism of the cell-matrix interaction. Hence, the mechanical detection of cell mechanics and cellular-scale microenvironments has become crucial for unraveling the mechanisms which underly cell activities and which are affected by physical factors. This review mainly focuses on the advanced technologies and applications of cell-scale mechanical detection. It summarizes the techniques used in micromechanical performance analysis, including atomic force microscope (AFM), optical tweezer (OT), magnetic tweezer (MT), and traction force microscope (TFM), and analyzes their testing mechanisms. In addition, the application of mechanical testing techniques to cell mechanics and tissue engineering scaffolds, such as hydrogels and porous scaffolds, is summarized and discussed. Finally, it highlights the challenges and prospects of this field. This review is believed to provide valuable insights into micromechanics in tissue engineering.
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Affiliation(s)
- Yingxuan Zhu
- School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
- National Center for International Joint Research of Micro-nano Moulding Technology, Zhengzhou University, Zhengzhou 450001, China
| | - Mengqi Zhang
- School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
- National Center for International Joint Research of Micro-nano Moulding Technology, Zhengzhou University, Zhengzhou 450001, China
| | - Qingqing Sun
- School of Materials Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaofeng Wang
- School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
- National Center for International Joint Research of Micro-nano Moulding Technology, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaomeng Li
- School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
- National Center for International Joint Research of Micro-nano Moulding Technology, Zhengzhou University, Zhengzhou 450001, China
| | - Qian Li
- School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China
- National Center for International Joint Research of Micro-nano Moulding Technology, Zhengzhou University, Zhengzhou 450001, China
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5
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Barbieri L, Colin-York H, Korobchevskaya K, Li D, Wolfson DL, Karedla N, Schneider F, Ahluwalia BS, Seternes T, Dalmo RA, Dustin ML, Li D, Fritzsche M. Two-dimensional TIRF-SIM-traction force microscopy (2D TIRF-SIM-TFM). Nat Commun 2021; 12:2169. [PMID: 33846317 PMCID: PMC8041833 DOI: 10.1038/s41467-021-22377-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 03/12/2021] [Indexed: 02/01/2023] Open
Abstract
Quantifying small, rapidly evolving forces generated by cells is a major challenge for the understanding of biomechanics and mechanobiology in health and disease. Traction force microscopy remains one of the most broadly applied force probing technologies but typically restricts itself to slow events over seconds and micron-scale displacements. Here, we improve >2-fold spatially and >10-fold temporally the resolution of planar cellular force probing compared to its related conventional modalities by combining fast two-dimensional total internal reflection fluorescence super-resolution structured illumination microscopy and traction force microscopy. This live-cell 2D TIRF-SIM-TFM methodology offers a combination of spatio-temporal resolution enhancement relevant to forces on the nano- and sub-second scales, opening up new aspects of mechanobiology to analysis.
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Grants
- Biotechnology and Biological Sciences Research Council
- 212343/Z/18/Z Wellcome Trust
- 107457 Wellcome Trust
- 100262/Z/12/Z Wellcome Trust
- Wellcome Trust
- 091911 Wellcome Trust
- Medical Research Council
- L.B. would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC) and Medical Research Council (EP/L016052/1). M.F., H.C.Y., K.K., and M.L.D. would like to thank the Rosalind Franklin Institute and the Kennedy Trust for Rheumatology Research (KTRR) for support. M.F., F.S., and H.C.Y. thank the Wellcome Trust (212343/Z/18/Z) and EPSRC (EP/S004459/1). M.L.D. also thank the Wellcome Trust for the Principal Research Fellowship awarded to M.D. (100262/Z/12/Z). Di.L. and D.L. are supported by a grant from the Chinese Ministry of Science and Technology (MOST: 2017YFA0505301, 2016YFA0500203), the National Natural Science Foundation of China (NSFC; 91754202, 31827802), and the Youth Innovation Promotion Association of Chinese Academy of Sciences (Grant No. 2020094). N.K. thanks the Alexander von Humboldt Foundation for funding his Feoder Lynen Fellowship. R.A.D acknowledge the Research Council of Norway (grant no. 301401) for funding. The TIRF-SIM platform was built in collaboration with and with funds from Micron (www.micronoxford.com), an Oxford-wide advanced microscopy technology consortium supported by Wellcome Strategic Awards (091911 and 107457) and an MRC/EPSRC/BBSRC next generation imaging award.
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Affiliation(s)
- Liliana Barbieri
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Huw Colin-York
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, UK
| | | | - Di Li
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Deanna L Wolfson
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Narain Karedla
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, UK
- Rosalind Franklin Institute, Didcot, UK
| | - Falk Schneider
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, UK
| | - Balpreet S Ahluwalia
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tore Seternes
- Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Roy A Dalmo
- Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø, Norway
| | - Michael L Dustin
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, UK
| | - Dong Li
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
| | - Marco Fritzsche
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- Kennedy Institute for Rheumatology, University of Oxford, Oxford, UK.
- Rosalind Franklin Institute, Didcot, UK.
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6
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De La Pena A, Mukhtar M, Yokosawa R, Carrasquilla S, Simmons CS. Quantifying cellular forces: Practical considerations of traction force microscopy for dermal fibroblasts. Exp Dermatol 2021; 30:74-83. [PMID: 32767472 PMCID: PMC7769991 DOI: 10.1111/exd.14166] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/12/2020] [Accepted: 07/30/2020] [Indexed: 12/28/2022]
Abstract
Traction force microscopy (TFM) is a well-established technique traditionally used by biophysicists to quantify the forces adherent biological cells exert on their microenvironment. As image processing software becomes increasingly user-friendly, TFM is being adopted by broader audiences to quantify contractility of (myo)fibroblasts. While many technical reviews of TFM's computational mechanics are available, this review focuses on practical experimental considerations for dermatology researchers new to cell mechanics and TFM who may wish to implement a higher throughput and less expensive alternative to collagen compaction assays. Here, we describe implementation of experimental methods, analysis using open-source software and troubleshooting of common issues to enable researchers to leverage TFM for their investigations into skin fibroblasts.
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Affiliation(s)
| | | | | | | | - Chelsey S. Simmons
- Department of Mechanical and Aerospace Engineering
- J. Crayton Pruitt Department of Biomedical Engineering
- Division of Cardiovascular Medicine, University of Florida
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7
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Torrino S, Roustan FR, Kaminski L, Bertero T, Pisano S, Ambrosetti D, Dufies M, Uhler JP, Lemichez E, Mettouchi A, Gesson M, Laurent K, Gaggioli C, Michiels JF, Lamaze C, Bost F, Clavel S. UBTD1 is a mechano-regulator controlling cancer aggressiveness. EMBO Rep 2019; 20:embr.201846570. [PMID: 30804013 DOI: 10.15252/embr.201846570] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 01/18/2019] [Accepted: 01/29/2019] [Indexed: 12/18/2022] Open
Abstract
Ubiquitin domain-containing protein 1 (UBTD1) is highly evolutionary conserved and has been described to interact with E2 enzymes of the ubiquitin-proteasome system. However, its biological role and the functional significance of this interaction remain largely unknown. Here, we demonstrate that depletion of UBTD1 drastically affects the mechanical properties of epithelial cancer cells via RhoA activation and strongly promotes their aggressiveness. On a stiff matrix, UBTD1 expression is regulated by cell-cell contacts, and the protein is associated with β-catenin at cell junctions. Yes-associated protein (YAP) is a major cell mechano-transducer, and we show that UBTD1 is associated with components of the YAP degradation complex. Interestingly, UBTD1 promotes the interaction of YAP with its E3 ubiquitin ligase β-TrCP Consequently, in cancer cells, UBTD1 depletion decreases YAP ubiquitylation and triggers robust ROCK2-dependent YAP activation and downstream signaling. Data from lung and prostate cancer patients further corroborate the in cellulo results, confirming that low levels of UBTD1 are associated with poor patient survival, suggesting that biological functions of UBTD1 could be beneficial in limiting cancer progression.
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Affiliation(s)
- Stéphanie Torrino
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - François-René Roustan
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - Lisa Kaminski
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - Thomas Bertero
- Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS, UMR7284/INSERM U1081, Université Côte d'Azur, Nice, France
| | - Sabrina Pisano
- Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS, UMR7284/INSERM U1081, Université Côte d'Azur, Nice, France
| | - Damien Ambrosetti
- Department of Pathology, Nice University Hospital University of Nice Sophia Antipolis, Nice, France
| | - Maeva Dufies
- Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS, UMR7284/INSERM U1081, Université Côte d'Azur, Nice, France
| | - Jay P Uhler
- Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden
| | - Emmanuel Lemichez
- Département de Microbiologie, Institut Pasteur, Unité des Toxines Bactériennes, Université Paris Descartes, Paris, France
| | - Amel Mettouchi
- Département de Microbiologie, Institut Pasteur, Unité des Toxines Bactériennes, Université Paris Descartes, Paris, France
| | - Maeva Gesson
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - Kathiane Laurent
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - Cedric Gaggioli
- Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS, UMR7284/INSERM U1081, Université Côte d'Azur, Nice, France
| | - Jean-Francois Michiels
- Department of Pathology, Nice University Hospital University of Nice Sophia Antipolis, Nice, France
| | - Christophe Lamaze
- CNRS UMR3666, INSERM U1143, Membrane Dynamics and Mechanics of Intracellular Signaling Laboratory, Institut Curie - Centre de Recherche, PSL Research University, Paris, France
| | - Frédéric Bost
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
| | - Stéphan Clavel
- Centre Méditerranéen de Médecine Moléculaire (C3M), Inserm U1065, Nice Cedex 3, France
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8
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Wang J, Lin F, Wan Z, Sun X, Lu Y, Huang J, Wang F, Zeng Y, Chen YH, Shi Y, Zheng W, Li Z, Xiong C, Liu W. Profiling the origin, dynamics, and function of traction force in B cell activation. Sci Signal 2018; 11:11/542/eaai9192. [PMID: 30087179 DOI: 10.1126/scisignal.aai9192] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
B lymphocytes use B cell receptors (BCRs) to recognize membrane-bound antigens to further initiate cell spreading and contraction responses during B cell activation. We combined traction force microscopy and live-cell imaging to profile the origin, dynamics, and function of traction force generation in these responses. We showed that B cell activation required the generation of 10 to 20 nN of traction force when encountering antigens presented by substrates with stiffness values from 0.5 to 1 kPa, which mimic the rigidity of antigen-presenting cells in vivo. Perturbation experiments revealed that F-actin remodeling and myosin- and dynein-mediated contractility contributed to traction force generation and B cell activation. Moreover, membrane-proximal BCR signaling molecules (including Lyn, Syk, Btk, PLC-γ2, BLNK, and Vav3) and adaptor molecules (Grb2, Cbl, and Dok-3) linking BCR microclusters and motor proteins were also required for the sustained generation of these traction forces. We found a positive correlation between the strength of the traction force and the mean fluorescence intensity of the BCR microclusters. Furthermore, we demonstrated that isotype-switched memory B cells expressing immunoglobulin G (IgG)-BCRs generated greater traction forces than did mature naïve B cells expressing IgM-BCRs during B cell activation. Last, we observed that primary B cells from patients with rheumatoid arthritis generated greater traction forces than did B cells from healthy donors in response to antigen stimulation. Together, these data delineate the origin, dynamics, and function of traction force during B cell activation.
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Affiliation(s)
- Junyi Wang
- China Ministry of Education Key Laboratory of Protein Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Life Sciences, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Feng Lin
- Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China
| | - Zhengpeng Wan
- China Ministry of Education Key Laboratory of Protein Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Life Sciences, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Xiaolin Sun
- Department of Rheumatology and Immunology, Clinical Immunology Center, Peking University People's Hospital, Beijing, China
| | - Yun Lu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jianyong Huang
- Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China
| | - Fei Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 9 Section 4, Renmin South Road, Chengdu 610041, China
| | - Yingyue Zeng
- School of Life Science, Liaoning University, Shenyang 110036, China
| | - Ying-Hua Chen
- China Ministry of Education Key Laboratory of Protein Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Life Sciences, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Yan Shi
- Center for Life Sciences, Department of Basic Medical Sciences, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Wenjie Zheng
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhanguo Li
- Department of Rheumatology and Immunology, Clinical Immunology Center, Peking University People's Hospital, Beijing, China
| | - Chunyang Xiong
- Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China. .,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Wanli Liu
- China Ministry of Education Key Laboratory of Protein Sciences, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, School of Life Sciences, Institute for Immunology, Tsinghua University, Beijing 100084, China. .,Beijing Key Lab for Immunological Research on Chronic Diseases, Beijing 100084, China
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9
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Pushkarsky I, Tseng P, Black D, France B, Warfe L, Koziol-White CJ, Jester WF, Trinh RK, Lin J, Scumpia PO, Morrison SL, Panettieri RA, Damoiseaux R, Di Carlo D. Elastomeric sensor surfaces for high-throughput single-cell force cytometry. Nat Biomed Eng 2018; 2:124-137. [PMID: 31015629 DOI: 10.1038/s41551-018-0193-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Accepted: 01/09/2018] [Indexed: 11/09/2022]
Abstract
As cells with aberrant force-generating phenotypes can directly lead to disease, cellular force-generation mechanisms are high-value targets for new therapies. Here, we show that single-cell force sensors embedded in elastomers enable single-cell force measurements with ~100-fold improvement in throughput than was previously possible. The microtechnology is scalable and seamlessly integrates with the multi-well plate format, enabling highly parallelized time-course studies. In this regard, we show that airway smooth muscle cells isolated from fatally asthmatic patients have innately greater and faster force-generation capacity in response to stimulation than healthy control cells. By simultaneously tracing agonist-induced calcium flux and contractility in the same cell, we show that the calcium level is ultimately a poor quantitative predictor of cellular force generation. Finally, by quantifying phagocytic forces in thousands of individual human macrophages, we show that force initiation is a digital response (rather than a proportional one) to the proper immunogen. By combining mechanobiology at the single-cell level with high-throughput capabilities, this microtechnology can support drug-discovery efforts for clinical conditions associated with aberrant cellular force generation.
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Affiliation(s)
- Ivan Pushkarsky
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter Tseng
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Electrical Engineering and Computer Science, University of California, Los Angeles, Irvine, CA, USA
| | - Dylan Black
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bryan France
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lyndon Warfe
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Cynthia J Koziol-White
- Rutgers Institute for Translational Medicine and Science, Child Health Institute, Rutgers University, New Brunswick, NJ, USA
| | - William F Jester
- Rutgers Institute for Translational Medicine and Science, Child Health Institute, Rutgers University, New Brunswick, NJ, USA
| | - Ryan K Trinh
- Department of Microbiology, Immunology and Molecular Genetics and The Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jonathan Lin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Philip O Scumpia
- Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sherie L Morrison
- Department of Microbiology, Immunology and Molecular Genetics and The Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Reynold A Panettieri
- Rutgers Institute for Translational Medicine and Science, Child Health Institute, Rutgers University, New Brunswick, NJ, USA
| | - Robert Damoiseaux
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Molecular and Medicinal Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA. .,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA. .,Department of Mechanical Engineering, University of California, Los Angeles, Los Angeles, CA, USA.
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10
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Xu Y, Li J, Zhou S, Tang X, Zhang Y, Lin F, Xiong C, Yang C. Quantitative Analyses of Dynamic Features of Fibroblasts on Different Protein-Coated Compliant Substrates. ACS Biomater Sci Eng 2017; 3:2987-2998. [DOI: 10.1021/acsbiomaterials.6b00598] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yue Xu
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Jing Li
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Shuai Zhou
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Xuan Tang
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Yanli Zhang
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Feng Lin
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Chunyang Xiong
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
| | - Chun Yang
- Institute
of Biomechanics and Medical Engineering, School of Aerospace
Engineering, and ‡Cell Imaging Platform of Protein Research Technology Center, Tsinghua University, Beijing 10084, People’s Republic of China
- State Key Laboratory for Turbulence
and Complex System, and Department
of Mechanics and Engineering Science, College of Engineering, and ⊥Academy for
Advanced Interdisciplinary Studies, Peking University, Beijing 100871, People’s Republic of China
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11
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Integrin endocytosis on elastic substrates mediates mechanosensing. J Biomech 2016; 49:2644-2654. [DOI: 10.1016/j.jbiomech.2016.05.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 03/22/2016] [Accepted: 05/24/2016] [Indexed: 11/21/2022]
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12
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Contractile dynamics change before morphological cues during fluorescence [corrected] illumination. Sci Rep 2015; 5:18513. [PMID: 26691776 PMCID: PMC4686977 DOI: 10.1038/srep18513] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Accepted: 11/19/2015] [Indexed: 01/15/2023] Open
Abstract
Illumination can have adverse effects on live cells. However, many experiments, e.g. traction force microscopy, rely on fluorescence microscopy. Current methods to assess undesired photo-induced cell changes rely on qualitative observation of changes in cell morphology. Here we utilize a quantitative technique to identify the effect of light on cell contractility prior to morphological changes. Fibroblasts were cultured on soft elastic hydrogels embedded with fluorescent beads. The adherent cells generated contractile forces that deform the substrate. Beads were used as fiducial markers to quantify the substrate deformation over time, which serves as a measure of cell force dynamics. We find that cells exposed to moderate fluorescence illumination (λ = 540–585 nm, I = 12.5 W/m2, duration = 60 s) exhibit rapid force relaxation. Strikingly, cells exhibit force relaxation after only 2 s of exposure, suggesting that photo-induced relaxation occurs nearly immediately. Evidence of photo-induced morphological changes were not observed for 15–30 min after illumination. Force relaxation and morphological changes were found to depend on wavelength and intensity of excitation light. This study demonstrates that changes in cell contractility reveal evidence of a photo-induced cell response long before any morphological cues.
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13
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HIP-55 negatively regulates myocardial contractility at the single-cell level. J Biomech 2014; 47:2715-20. [DOI: 10.1016/j.jbiomech.2014.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2013] [Revised: 05/02/2014] [Accepted: 05/05/2014] [Indexed: 11/22/2022]
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