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Chang CY, Pearce G, Betaneli V, Kapustsenka T, Hosseini K, Fischer-Friedrich E, Corbeil D, Karbanová J, Taubenberger A, Dahncke B, Rauner M, Furesi G, Perner S, Rost F, Jessberger R. The F-actin bundler SWAP-70 promotes tumor metastasis. Life Sci Alliance 2024; 7:e202302307. [PMID: 38760173 PMCID: PMC11101836 DOI: 10.26508/lsa.202302307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/19/2024] Open
Abstract
Dynamic rearrangements of the F-actin cytoskeleton are a hallmark of tumor metastasis. Thus, proteins that govern F-actin rearrangements are of major interest for understanding metastasis and potential therapies. We hypothesized that the unique F-actin binding and bundling protein SWAP-70 contributes importantly to metastasis. Orthotopic, ectopic, and short-term tail vein injection mouse breast and lung cancer models revealed a strong positive dependence of lung and bone metastasis on SWAP-70. Breast cancer cell growth, migration, adhesion, and invasion assays revealed SWAP-70's key role in these metastasis-related cell features and the requirement for SWAP-70 to bind F-actin. Biophysical experiments showed that tumor cell stiffness and deformability are negatively modulated by SWAP-70. Together, we present a hitherto undescribed, unique F-actin modulator as an important contributor to tumor metastasis.
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Affiliation(s)
- Chao-Yuan Chang
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Glen Pearce
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Viktoria Betaneli
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Tatsiana Kapustsenka
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Kamran Hosseini
- https://ror.org/042aqky30 Cluster of Excellence Physics of Life, Technische Universität Dresden, Dresden, Germany
| | - Elisabeth Fischer-Friedrich
- https://ror.org/042aqky30 Cluster of Excellence Physics of Life, Technische Universität Dresden, Dresden, Germany
| | - Denis Corbeil
- Biotechnology Center (BIOTEC) and Center for Molecular and Cellular Bioengineering, Dresden, Germany
- https://ror.org/042aqky30 Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jana Karbanová
- Biotechnology Center (BIOTEC) and Center for Molecular and Cellular Bioengineering, Dresden, Germany
- https://ror.org/042aqky30 Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Anna Taubenberger
- Biotechnology Center (BIOTEC) and Center for Molecular and Cellular Bioengineering, Dresden, Germany
- https://ror.org/042aqky30 Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Björn Dahncke
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Martina Rauner
- https://ror.org/042aqky30 Department of Medicine III and Center for Healthy Aging, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Giulia Furesi
- https://ror.org/042aqky30 Department of Medicine III and Center for Healthy Aging, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sven Perner
- Institute of Pathology, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany
- Institute of Pathology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Fabian Rost
- https://ror.org/042aqky30 DRESDEN-concept Genome Center, Technology Platform at the Center for Molecular and Cellular Bioengineering (CMCB), Technische Universität Dresden, Dresden, Germany
| | - Rolf Jessberger
- https://ror.org/042aqky30 Institute for Physiological Chemistry, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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2
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Wohlrab S, Mueller S, Gekle S. Mechanical complexity of living cells can be mapped onto simple homogeneous equivalents. Biomech Model Mechanobiol 2024; 23:1067-1076. [PMID: 38411900 PMCID: PMC11101590 DOI: 10.1007/s10237-024-01823-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024]
Abstract
Biological cells are built up from different constituents of varying size and stiffness which all contribute to the cell's mechanical properties. Despite this heterogeneity, in the analysis of experimental measurements one often assumes a strongly simplified homogeneous cell and thus a single elastic modulus is assigned to the entire cell. This ad-hoc simplification has so far mostly been used without proper justification. Here, we use computer simulations to show that indeed a mechanically heterogeneous cell can effectively be replaced by a homogeneous equivalent cell with a volume averaged elastic modulus. To demonstrate the validity of this approach, we investigate a hyperelastic cell with a heterogeneous interior under compression and in shear/channel flow mimicking atomic force and microfluidic measurements, respectively. We find that the homogeneous equivalent cell reproduces quantitatively the behavior of its heterogeneous counterpart, and that this equality is largely independent of the stiffness or spatial distribution of the heterogeneity.
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Affiliation(s)
- Sebastian Wohlrab
- Theoretische Physik VI, Biofluid Simulation and Modeling, Universität Bayreuth, 95440, Bayreuth, Germany.
| | - Sebastian Mueller
- Theoretische Physik VI, Biofluid Simulation and Modeling, Universität Bayreuth, 95440, Bayreuth, Germany
| | - Stephan Gekle
- Theoretische Physik VI, Biofluid Simulation and Modeling, Universität Bayreuth, 95440, Bayreuth, Germany
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3
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Mukhopadhyay U, Mandal T, Chakraborty M, Sinha B. The Plasma Membrane and Mechanoregulation in Cells. ACS OMEGA 2024; 9:21780-21797. [PMID: 38799362 PMCID: PMC11112598 DOI: 10.1021/acsomega.4c01962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024]
Abstract
Cells inhabit a mechanical microenvironment that they continuously sense and adapt to. The plasma membrane (PM), serving as the boundary of the cell, plays a pivotal role in this process of adaptation. In this Review, we begin by examining well-studied processes where mechanoregulation proves significant. Specifically, we highlight examples from the immune system and stem cells, besides discussing processes involving fibroblasts and other cell types. Subsequently, we discuss the common molecular players that facilitate the sensing of the mechanical signal and transform it into a chemical response covering integrins YAP/TAZ and Piezo. We then review how this understanding of molecular elements is leveraged in drug discovery and tissue engineering alongside a discussion of the methodologies used to measure mechanical properties. Focusing on the processes of endocytosis, we discuss how cells may respond to altered membrane mechanics using endo- and exocytosis. Through the process of depleting/adding the membrane area, these could also impact membrane mechanics. We compare pathways from studies illustrating the involvement of endocytosis in mechanoregulation, including clathrin-mediated endocytosis (CME) and the CLIC/GEEC (CG) pathway as central examples. Lastly, we review studies on cell-cell fusion during myogenesis, the mechanical integrity of muscle fibers, and the reported and anticipated roles of various molecular players and processes like endocytosis, thereby emphasizing the significance of mechanoregulation at the PM.
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Affiliation(s)
- Upasana Mukhopadhyay
- Department of Biological
Sciences, Indian Institute of Science Education
and Research Kolkata, Mohanpur, West Bengal 741246, India
| | - Tithi Mandal
- Department of Biological
Sciences, Indian Institute of Science Education
and Research Kolkata, Mohanpur, West Bengal 741246, India
| | | | - Bidisha Sinha
- Department of Biological
Sciences, Indian Institute of Science Education
and Research Kolkata, Mohanpur, West Bengal 741246, India
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4
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Zhou S, Chen T, Fu ES, Zhou T, Shi L, Yan H. A microfluidic microalgae detection system for cellular physiological response based on an object detection algorithm. LAB ON A CHIP 2024; 24:2762-2773. [PMID: 38682283 DOI: 10.1039/d3lc00941f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
The composition of species and the physiological status of microalgal cells serve as significant indicators for monitoring marine environments. Symbiotic with corals, Symbiodiniaceae are more sensitive to the environmental response. However, current methods for evaluating microalgae tend to be population-based indicators that cannot be focused on single-cell level, ignoring potentially heterogeneous cells as well as cell state transitions. In this study, we proposed a microalgal cell detection method based on computer vision and microfluidics, which combined microscopic image processing, microfluidic chip and convolutional neural network to achieve label-free, sheathless, automated and high-throughput microalgae identification and cell state assessment. By optimizing the data import, training process and model architecture, we solved the problem of identifying tiny objects at the micron scale, and the optimized model was able to perform the tasks of cell multi-classification and physiological state assessment with more than 95% mean average precision. We discovered a novel transition state and explored the thermal sensitivity of three clades of Symbiodiniaceae, and discovered the phenomenon of cellular heat shock at high temperatures. The evolution of the physiological state of Symbiodiniaceae cells is very important for directional cell evolution and early warning of coral ecosystem health.
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Affiliation(s)
- Shizheng Zhou
- School of Computer Science and Technology, Hainan University, Haikou 570228, China.
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
| | - Tianhui Chen
- School of Computer Science and Technology, Hainan University, Haikou 570228, China.
| | - Edgar S Fu
- Graduate School of Computing and Information Science, University of Pittsburgh, PA 15260, USA
| | - Teng Zhou
- School of Mechanical and Electrical Engineering, Hainan University, Haikou 570228, China
| | - Liuyong Shi
- School of Mechanical and Electrical Engineering, Hainan University, Haikou 570228, China
| | - Hong Yan
- School of Computer Science and Technology, Hainan University, Haikou 570228, China.
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
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5
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Wang Z, Wang H, Lin S, Angers S, Sargent EH, Kelley SO. Phenotypic targeting using magnetic nanoparticles for rapid characterization of cellular proliferation regulators. SCIENCE ADVANCES 2024; 10:eadj1468. [PMID: 38718125 PMCID: PMC11078187 DOI: 10.1126/sciadv.adj1468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 04/03/2024] [Indexed: 05/12/2024]
Abstract
Genome-wide CRISPR screens have provided a systematic way to identify essential genetic regulators of a phenotype of interest with single-cell resolution. However, most screens use live/dead readout of viability to identify factors of interest. Here, we describe an approach that converts cell proliferation into the degree of magnetization, enabling downstream microfluidic magnetic sorting to be performed. We performed a head-to-head comparison and verified that the magnetic workflow can identify the same hits from a traditional screen while reducing the screening period from 4 weeks to 1 week. Taking advantage of parallelization and performance, we screened multiple mesenchymal cancer cell lines for their dependency on cell proliferation. We found and validated pan- and cell-specific potential therapeutic targets. The method presented provides a nanoparticle-enabled approach means to increase the breadth of data collected in CRISPR screens, enabling the rapid discovery of drug targets for treatment.
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Affiliation(s)
- Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
| | - Hansen Wang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada
| | - Stephane Angers
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada
| | - Edward H. Sargent
- The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada
- Department of Chemistry, Weinberg College of Arts and Science, Northwestern University, Evanston, IL 60208, USA
- Department of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208, USA
| | - Shana O. Kelley
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada
- Department of Chemistry, Weinberg College of Arts and Science, Northwestern University, Evanston, IL 60208, USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
- Simpson Querrey Institute, Northwestern University, Chicago, IL 60611, USA
- Chan Zuckerberg Biohub Chicago, Chicago, IL 60607, USA
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6
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Reichel F, Goswami R, Girardo S, Guck J. High-throughput viscoelastic characterization of cells in hyperbolic microchannels. LAB ON A CHIP 2024; 24:2440-2453. [PMID: 38600866 DOI: 10.1039/d3lc01061a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Extensive research has demonstrated the potential of cell viscoelastic properties as intrinsic indicators of cell state, functionality, and disease. For this, several microfluidic techniques have been developed to measure cell viscoelasticity with high-throughput. However, current microchannel designs introduce complex stress distributions on cells, leading to inaccuracies in determining the stress-strain relationship and, consequently, the viscoelastic properties. Here, we introduce a novel approach using hyperbolic microchannels that enable precise measurements under a constant extensional stress and offer a straightforward stress-strain relationship, while operating at a measurement rate of up to 100 cells per second. We quantified the stresses acting in the channels using mechanical calibration particles made from polyacrylamide (PAAm) and found that the measurement buffer, a solution of methyl cellulose and phosphate buffered saline, shows strain-thickening following a power law up to 200 s-1. By measuring oil droplets with varying viscosities, we successfully detected changes in the relaxation times of the droplets and our approach could be used to get the interfacial tension and viscosity of liquid-liquid droplet systems from the same measurement. We further applied this methodology to PAAm microgel beads, demonstrating the accurate recovery of Young's moduli and the near-ideal elastic behavior of the beads. To explore the influence of altered cell viscoelasticity, we treated HL60 human leukemia cells with latrunculin B and nocodazole, resulting in clear changes in cell stiffness while relaxation times were only minimally affected. In conclusion, our approach offers a streamlined and time-efficient solution for assessing the viscoelastic properties of large cell populations and other microscale soft particles.
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Affiliation(s)
- Felix Reichel
- Max Planck Institute for the Science of Light, Erlangen, Germany.
- Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
- Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Ruchi Goswami
- Max Planck Institute for the Science of Light, Erlangen, Germany.
- Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Salvatore Girardo
- Max Planck Institute for the Science of Light, Erlangen, Germany.
- Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Jochen Guck
- Max Planck Institute for the Science of Light, Erlangen, Germany.
- Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
- Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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7
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Jain S, Belkadi H, Michaut A, Sart S, Gros J, Genet M, Baroud CN. Using a micro-device with a deformable ceiling to probe stiffness heterogeneities within 3D cell aggregates. Biofabrication 2024; 16:035010. [PMID: 38447213 DOI: 10.1088/1758-5090/ad30c7] [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] [Received: 10/11/2023] [Accepted: 03/06/2024] [Indexed: 03/08/2024]
Abstract
Recent advances in the field of mechanobiology have led to the development of methods to characterise single-cell or monolayer mechanical properties and link them to their functional behaviour. However, there remains a strong need to establish this link for three-dimensional (3D) multicellular aggregates, which better mimic tissue function. Here we present a platform to actuate and observe many such aggregates within one deformable micro-device. The platform consists of a single polydimethylsiloxane piece cast on a 3D-printed mould and bonded to a glass slide or coverslip. It consists of a chamber containing cell spheroids, which is adjacent to air cavities that are fluidically independent. Controlling the air pressure in these air cavities leads to a vertical displacement of the chamber's ceiling. The device can be used in static or dynamic modes over time scales of seconds to hours, with displacement amplitudes from a fewµm to several tens of microns. Further, we show how the compression protocols can be used to obtain measurements of stiffness heterogeneities within individual co-culture spheroids, by comparing image correlations of spheroids at different levels of compression with finite element simulations. The labelling of the cells and their cytoskeleton is combined with image correlation methods to relate the structure of the co-culture spheroid with its mechanical properties at different locations. The device is compatible with various microscopy techniques, including confocal microscopy, which can be used to observe the displacements and rearrangements of single cells and neighbourhoods within the aggregate. The complete experimental and imaging platform can now be used to provide multi-scale measurements that link single-cell behaviour with the global mechanical response of the aggregates.
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Affiliation(s)
- Shreyansh Jain
- Institut Pasteur, Université Paris Cité, Physical Microfluidics and Bioengineering, 25-28 Rue du Dr Roux, 75015 Paris, France
- Laboratoire d' Hydrodynamique (LadHyX), CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Hiba Belkadi
- Institut Pasteur, Université Paris Cité, Physical Microfluidics and Bioengineering, 25-28 Rue du Dr Roux, 75015 Paris, France
- Laboratoire d' Hydrodynamique (LadHyX), CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Arthur Michaut
- Institut Pasteur, Université Paris Cité, Dynamic Regulation of Morphogenesis, 25-28 Rue du Dr Roux, 75015 Paris, France
| | - Sébastien Sart
- Institut Pasteur, Université Paris Cité, Physical Microfluidics and Bioengineering, 25-28 Rue du Dr Roux, 75015 Paris, France
- Laboratoire d' Hydrodynamique (LadHyX), CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Jérôme Gros
- Institut Pasteur, Université Paris Cité, Dynamic Regulation of Morphogenesis, 25-28 Rue du Dr Roux, 75015 Paris, France
| | - Martin Genet
- Laboratoire de Mécanique des Solides, CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
- Inria, Palaiseau, France
| | - Charles N Baroud
- Institut Pasteur, Université Paris Cité, Physical Microfluidics and Bioengineering, 25-28 Rue du Dr Roux, 75015 Paris, France
- Laboratoire d' Hydrodynamique (LadHyX), CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
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8
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Abarca-Ortega A, González-Bermúdez B, Plaza GR. Enhancing micropipette aspiration with artificial-intelligence analysis. Biophys J 2024:S0006-3495(24)00250-9. [PMID: 38600698 DOI: 10.1016/j.bpj.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/16/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024] Open
Abstract
The micropipette-aspiration technique is commonly used in the field of mechanobiology, offering a variety of measurement types. To extract biophysical parameters from the experiments, numerical analysis is required. Although previous works have developed techniques for the partial automation of these analyses, these approaches are relatively time consuming for the researchers. In this article, we describe the development and application of an artificial-intelligence tool for the completely automatic analysis of micropipette-aspiration experiments. The use of this tool is compared with previous methods and the impressive reduction in the time required for these analyses is discussed. The new tool opens new possibilities for the micropipette-aspiration technique by enabling dealing with large numbers of experiments and real-time measurements.
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Affiliation(s)
- Aldo Abarca-Ortega
- Departamento de Ingeniería Mecánica, Universidad de Santiago de Chile, USACH, Santiago de Chile, Chile; Departamento de Ciencia de Materiales, ETSI de Caminos, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alracón, Spain.
| | - Blanca González-Bermúdez
- Departamento de Ciencia de Materiales, ETSI de Caminos, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alracón, Spain; Instituto de Investigación Sanitaria Hospital Clínico San Carlos, IdISSC, Madrid, Spain
| | - Gustavo R Plaza
- Departamento de Ciencia de Materiales, ETSI de Caminos, Universidad Politécnica de Madrid, Madrid, Spain; Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alracón, Spain; Instituto de Investigación Sanitaria Hospital Clínico San Carlos, IdISSC, Madrid, Spain.
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9
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Zong W, Shao X, Li J, Cai Z, Zhang X. Towards a biomimetic cellular structure and physical morphology with liposome-encapsulated agarose sol systems. Int J Biol Macromol 2024; 264:130418. [PMID: 38412936 DOI: 10.1016/j.ijbiomac.2024.130418] [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] [Received: 08/21/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 02/29/2024]
Abstract
The cytoplasm, serving as the primary hub of cellular metabolism, stands as a pivotal cornerstone for the harmonious progression of life. The ideal artificial cell should not only have a biomembrane structure system similar to that of a cell and the function of carrying genetic information, but also should have an intracellular environment. In this pursuit, we employed a method involving the incorporation of glycerol into agarose, resulting in the formation of agarose-glycerol mixed sol (AGs). This dynamic sol exhibited fluidic properties at ambient temperature, closely mimicking the viscosity of authentic cytoplasm. Harnessing the electroformation technique, AGs was encapsulated within liposomes, enabling the efficient creation of artificial cells that closely resembled native cellular dimensions through meticulous parameter adjustments of the alternating current (AC) field. Subsequently, artificial cells harboring AGs were subjected to diverse electrolyte and non-electrolyte solutions, enabling a comprehensive exploration of their deformation phenomena, encompassing both inward and outward budding. This study represents a significant stride forward in addressing one of the most fundamental challenges in the construction of artificial cytoplasm. It is our fervent aspiration that this work shall offer invaluable insights and guidance for future endeavors in the realm of artificial cell construction.
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Affiliation(s)
- Wei Zong
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Heilongjiang Industrial Hemp Processing Technology Innovation Center, Qiqihar University, Qiqihar 161006, China
| | - Xiaotong Shao
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Jun Li
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Heilongjiang Industrial Hemp Processing Technology Innovation Center, Qiqihar University, Qiqihar 161006, China
| | - Zhenzhen Cai
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China
| | - Xunan Zhang
- College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China; Heilongjiang Industrial Hemp Processing Technology Innovation Center, Qiqihar University, Qiqihar 161006, China.
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10
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Storti F, Bonfadini S, Bondelli G, Vurro V, Lanzani G, Criante L. Photocell-Based Optofluidic Device for Clogging-Free Cell Transit Time Measurements. BIOSENSORS 2024; 14:154. [PMID: 38667147 PMCID: PMC11047832 DOI: 10.3390/bios14040154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024]
Abstract
Measuring the transit time of a cell forced through a bottleneck is one of the most widely used techniques for the study of cell deformability in flow. It in turn provides an accessible and rapid way of obtaining crucial information regarding cell physiology. Many techniques are currently being investigated to reliably retrieve this time, but their translation to diagnostic-oriented devices is often hampered by their complexity, lack of robustness, and the bulky external equipment required. Herein, we demonstrate the benefits of coupling microfluidics with an optical method, like photocells, to measure the transit time. We exploit the femtosecond laser irradiation followed by chemical etching (FLICE) fabrication technique to build a monolithic 3D device capable of detecting cells flowing through a 3D non-deformable constriction which is fully buried in a fused silica substrate. We validated our chip by measuring the transit times of pristine breast cancer cells (MCF-7) and MCF-7 cells treated with Latrunculin A, a drug typically used to increase their deformability. A difference in transit times can be assessed without the need for complex external instrumentation and/or demanding computational efforts. The high throughput (4000-10,000 cells/min), ease of use, and clogging-free operation of our device bring this approach much closer to real scenarios.
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Affiliation(s)
- Filippo Storti
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
- Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
| | - Silvio Bonfadini
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
| | - Gaia Bondelli
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
- Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
| | - Vito Vurro
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
| | - Guglielmo Lanzani
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
- Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
| | - Luigino Criante
- Centre for Nano Science and Technology, Istituto Italiano di Tecnologia, Via Rubattino 81, 20134 Milano, Italy; (F.S.); (S.B.); (G.B.); (V.V.); (G.L.)
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11
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Zhang S, Han Z, Qi H, Liu S, Liu B, Sun C, Feng Z, Sun M, Duan X. Convolutional Neural Network-Driven Impedance Flow Cytometry for Accurate Bacterial Differentiation. Anal Chem 2024; 96:4419-4429. [PMID: 38448396 DOI: 10.1021/acs.analchem.3c04421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Impedance flow cytometry (IFC) has been demonstrated to be an efficient tool for label-free bacterial investigation to obtain the electrical properties in real time. However, the accurate differentiation of different species of bacteria by IFC technology remains a challenge owing to the insignificant differences in data. Here, we developed a convolutional neural networks (ConvNet) deep learning approach to enhance the accuracy and efficiency of the IFC toward distinguishing various species of bacteria. First, more than 1 million sets of impedance data (comprising 42 characteristic features for each set) of various groups of bacteria were trained by the ConvNet model. To improve the efficiency for data analysis, the Spearman correlation coefficient and the mean decrease accuracy of the random forest algorithm were introduced to eliminate feature interaction and extract the opacity of impedance related to the bacterial wall and membrane structure as the predominant features in bacterial differentiation. Moreover, the 25 optimized features were selected with differentiation accuracies of >96% for three groups of bacteria (bacilli, cocci, and vibrio) and >95% for two species of bacilli (Escherichia coli and Salmonella enteritidis), compared to machine learning algorithms (complex tree, linear discriminant, and K-nearest neighbor algorithms) with a maximum accuracy of 76.4%. Furthermore, bacterial differentiation was achieved on spiked samples of different species with different mixing ratios. The proposed ConvNet deep learning-assisted data analysis method of IFC exhibits advantages in analyzing a huge number of data sets with capacity for extracting predominant features within multicomponent information and will bring about progress and advances in the fields of both biosensing and data analysis.
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Affiliation(s)
- Shuaihua Zhang
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Ziyu Han
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Hang Qi
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Siyuan Liu
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Bohua Liu
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Chongling Sun
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Zhe Feng
- Wuqing District Center for Disease Control and Prevention, Tianjin 301700, China
| | - Meiqing Sun
- Wuqing District Center for Disease Control and Prevention, Tianjin 301700, China
| | - Xuexin Duan
- State Key Laboratory of Precision Measuring Technology & Instruments, College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
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12
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Li Q, Chen R, Cui T, Bai Y, Hu J, Yu J, Wang G, Chen S. Robust Gradient Hydrogel-Loaded Nanofiber Fleshy Artificial Skin Via A Coupled Microfluidic Electrospinning-Reactive Coating Strategy. Adv Healthc Mater 2024:e2304321. [PMID: 38490740 DOI: 10.1002/adhm.202304321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/02/2024] [Indexed: 03/17/2024]
Abstract
Skin regeneration attracts tremendous interest due to the important role of skin for human protection and beauty. Thus, methods allowing artificial skin to be carried out in a controllable fashion are potentially important for wound healing, which involves an intersection of materials, medicine, biology, and other disciplines. Herein, aiming at a new general methodology for fleshy materials, a new hydrogel-loaded hydrophobic-hydrophilic nanofiber fleshy artificial skin is designed and fabricated. The gradient hydrogel-loaded nanofiber artificial skin integrates both advantages of nanofiber and hydrogel, exhibiting fleshy feature (comparability to real skin in terms of appearance, texture, and function), excellent air permeability, compatibility, and good mechanical and antibacterial property. Interestingly, the efficient transport channels are formed throughout the hydrogel-loaded nanofiber structure, which is beneficial for water absorption and transfer. These advantages enable the establishment of a moist and favorable microenvironment; thus, greatly accelerating wound healing process. This work couples microfluidic electrospinning with reactive coating technique, which is in favor of material design and fabrication with controllable and uniform structures. The hydrogel-loaded nanofiber fleshy artificial skin shows comparability to real skin in terms of beauty, texture, and function, which would definitely provide new opportunities for the further optimization and upgrading of artificial skin.
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Affiliation(s)
- Qing Li
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Jiangsu Key Laboratory of Fine Chemicals and Functional Polymer Materials, Nanjing Tech University, Nanjing, 210009, P.R. China
| | - Rong Chen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Jiangsu Key Laboratory of Fine Chemicals and Functional Polymer Materials, Nanjing Tech University, Nanjing, 210009, P.R. China
| | - Tingting Cui
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Jiangsu Key Laboratory of Fine Chemicals and Functional Polymer Materials, Nanjing Tech University, Nanjing, 210009, P.R. China
| | - Yuting Bai
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Jiangsu Key Laboratory of Fine Chemicals and Functional Polymer Materials, Nanjing Tech University, Nanjing, 210009, P.R. China
| | - Jie Hu
- Department of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Jiafei Yu
- Department of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Gefei Wang
- Department of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Su Chen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Jiangsu Key Laboratory of Fine Chemicals and Functional Polymer Materials, Nanjing Tech University, Nanjing, 210009, P.R. China
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13
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Zhang Y, O'Mahony A, He Y, Barber T. Hydrodynamic shear stress' impact on mammalian cell properties and its applications in 3D bioprinting. Biofabrication 2024; 16:022003. [PMID: 38277669 DOI: 10.1088/1758-5090/ad22ee] [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] [Received: 03/03/2023] [Accepted: 01/26/2024] [Indexed: 01/28/2024]
Abstract
As an effective cell assembly method, three-dimensional bioprinting has been widely used in building organ models and tissue repair over the past decade. However, different shear stresses induced throughout the entire printing process can cause complex impacts on cell integrity, including reducing cell viability, provoking morphological changes and altering cellular functionalities. The potential effects that may occur and the conditions under which these effects manifest are not clearly understood. Here, we review systematically how different mammalian cells respond under shear stress. We enumerate available experimental apparatus, and we categorise properties that can be affected under disparate stress patterns. We also summarise cell damaging mathematical models as a predicting reference for the design of bioprinting systems. We concluded that it is essential to quantify specific cell resistance to shear stress for the optimisation of bioprinting systems. Besides, as substantial positive impacts, including inducing cell alignment and promoting cell motility, can be generated by shear stress, we suggest that we find the proper range of shear stress and actively utilise its positive influences in the development of future systems.
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Affiliation(s)
- Yani Zhang
- School of Mechanical Engineering, UNSW, Sydney, NSW 2052, Australia
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China
| | - Aidan O'Mahony
- Inventia Life Science Pty Ltd, Alexandria, Sydney, NSW 2015, Australia
| | - Yong He
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310058, People's Republic of China
| | - Tracie Barber
- School of Mechanical Engineering, UNSW, Sydney, NSW 2052, Australia
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14
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Chen Y, Ni C, Jiang L, Ni Z, Xiang N. Inertial Multi-Force Deformability Cytometry for High-Throughput, High-Accuracy, and High-Applicability Tumor Cell Mechanotyping. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2303962. [PMID: 37789502 DOI: 10.1002/smll.202303962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/23/2023] [Indexed: 10/05/2023]
Abstract
Previous on-chip technologies for characterizing the cellular mechanical properties often suffer from a low throughput and limited sensitivity. Herein, an inertial multi-force deformability cytometry (IMFDC) is developed for high-throughput, high-accuracy, and high-applicability tumor cell mechanotyping. Three different deformations, including shear deformations and stretch deformations under different forces, are integrated with the IMFDC. The 3D inertial focusing of cells enables the cells to deform by an identical fluid flow, and 10 parameters, such as cell area, perimeter, deformability, roundness, and rectangle deformability, are obtained in three deformations. The IMFDC is able to evaluate the deformability of different cells that are sensitive to different forces on a single chip, demonstrating the high applicability of the IMFDC in analyzing different cell lines. In identifying cell types, the three deformations exhibit different mechanical responses to cells with different sizes and deformability. A discrimination accuracy of ≈93% for both MDA-MB-231 and MCF-10A cells and a throughput of ≈500 cells s-1 can be achieved using the multiple-parameters-based machine learning model. Finally, the mechanical properties of metastatic tumor cells in pleural and peritoneal effusions are characterized, enabling the practical application of the IMFDC in clinical cancer diagnosis.
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Affiliation(s)
- Yao Chen
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Chen Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Lin Jiang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Zhonghua Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Nan Xiang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
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15
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Lou C, Yang H, Hou Y, Huang H, Qiu J, Wang C, Sang Y, Liu H, Han L. Microfluidic Platforms for Real-Time In Situ Monitoring of Biomarkers for Cellular Processes. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307051. [PMID: 37844125 DOI: 10.1002/adma.202307051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/05/2023] [Indexed: 10/18/2023]
Abstract
Cellular processes are mechanisms carried out at the cellular level that are aimed at guaranteeing the stability of the organism they comprise. The investigation of cellular processes is key to understanding cell fate, understanding pathogenic mechanisms, and developing new therapeutic technologies. Microfluidic platforms are thought to be the most powerful tools among all methodologies for investigating cellular processes because they can integrate almost all types of the existing intracellular and extracellular biomarker-sensing methods and observation approaches for cell behavior, combined with precisely controlled cell culture, manipulation, stimulation, and analysis. Most importantly, microfluidic platforms can realize real-time in situ detection of secreted proteins, exosomes, and other biomarkers produced during cell physiological processes, thereby providing the possibility to draw the whole picture for a cellular process. Owing to their advantages of high throughput, low sample consumption, and precise cell control, microfluidic platforms with real-time in situ monitoring characteristics are widely being used in cell analysis, disease diagnosis, pharmaceutical research, and biological production. This review focuses on the basic concepts, recent progress, and application prospects of microfluidic platforms for real-time in situ monitoring of biomarkers in cellular processes.
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Affiliation(s)
- Chengming Lou
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Hongru Yang
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Ying Hou
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Haina Huang
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Jichuan Qiu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Chunhua Wang
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Yuanhua Sang
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266000, P. R. China
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16
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Wei Q, Xiong Y, Ma Y, Liu D, Lu Y, Zhang S, Wang X, Huang H, Liu Y, Dao M, Gong X. High-throughput single-cell assay for precise measurement of the intrinsic mechanical properties and shape characteristics of red blood cells. LAB ON A CHIP 2024; 24:305-316. [PMID: 38087958 PMCID: PMC10949978 DOI: 10.1039/d3lc00323j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
The intrinsic physical and mechanical properties of red blood cells (RBCs), including their geometric and rheological characteristics, can undergo changes in various circulatory and metabolic diseases. However, clinical diagnosis using RBC biophysical phenotypes remains impractical due to the unique biconcave shape, remarkable deformability, and high heterogeneity within different subpopulations. Here, we combine the hydrodynamic mechanisms of fluid-cell interactions in micro circular tubes with a machine learning method to develop a relatively high-throughput microfluidic technology that can accurately measure the shear modulus of the membrane, viscosity, surface area, and volume of individual RBCs. The present method can detect the subtle changes of mechanical properties in various RBC components at continuum scales in response to different doses of cytoskeletal drugs. We also investigate the correlation between glycosylated hemoglobin and RBC mechanical properties. Our study develops a methodology that combines microfluidic technology and machine learning to explore the material properties of cells based on fluid-cell interactions. This approach holds promise in offering novel label-free single-cell-assay-based biophysical markers for RBCs, thereby enhancing the potential for more robust disease diagnosis.
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Affiliation(s)
- Qiaodong Wei
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Ying Xiong
- Obstetrics and Gynecology Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University Medical School, Shanghai 200240, China
| | - Yuhang Ma
- Endocrinology Department, Shanghai General Hospital, Shanghai 200240, China
| | - Deyun Liu
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Yunshu Lu
- Department of Breast Surgery, Xinhua Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200433, China
| | - Shenghong Zhang
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Xiaolong Wang
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Huaxiong Huang
- Research Center for Mathematics, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, Guangdong, 519088, China
- Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College, Zhuhai, Guangdong, 519088, China
- Department of Mathematics and Statistics York University, Toronto, ON, M3J 1P3, Canada
| | - Yingbin Liu
- Department of Biliary-Pancreatic Surgery, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming Dao
- Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
- School of Biological Sciences, Nanyang Technological University, 637551, Singapore
| | - Xiaobo Gong
- Key Laboratory of Hydrodynamics (Ministry of Education), Department of Engineering Mechanics, School of Naval Architecture Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
- State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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17
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Keshavarz Motamed P, Abouali H, Poudineh M, Maftoon N. Experimental measurement and numerical modeling of deformation behavior of breast cancer cells passing through constricted microfluidic channels. MICROSYSTEMS & NANOENGINEERING 2024; 10:7. [PMID: 38222473 PMCID: PMC10786721 DOI: 10.1038/s41378-023-00644-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/11/2023] [Accepted: 11/27/2023] [Indexed: 01/16/2024]
Abstract
During the multistep process of metastasis, cancer cells encounter various mechanical forces which make them deform drastically. Developing accurate in-silico models, capable of simulating the interactions between the mechanical forces and highly deformable cancer cells, can pave the way for the development of novel diagnostic and predictive methods for metastatic progression. Spring-network models of cancer cell, empowered by our recently proposed identification approach, promises a versatile numerical tool for developing experimentally validated models that can simulate complex interactions at cellular scale. Using this numerical tool, we presented spring-network models of breast cancer cells that can accurately replicate the experimental data of deformation behavior of the cells flowing in a fluidic domain and passing narrow constrictions comparable to microcapillary. First, using high-speed imaging, we experimentally studied the deformability of breast cancer cell lines with varying metastatic potential (MCF-7 (less invasive), SKBR-3 (medium-high invasive), and MDA-MB-231 (highly invasive)) in terms of their entry time to a constricted microfluidic channel. We observed that MDA-MB-231, that has the highest metastatic potential, is the most deformable cell among the three. Then, by focusing on this cell line, experimental measurements were expanded to two more constricted microchannel dimensions. The experimental deformability data in three constricted microchannel sizes for various cell sizes, enabled accurate identification of the unknown parameters of the spring-network model of the breast cancer cell line (MDA-MB-231). Our results show that the identified parameters depend on the cell size, suggesting the need for a systematic procedure for identifying the size-dependent parameters of spring-network models of cells. As the numerical results show, the presented cell models can simulate the entry process of the cell into constricted channels with very good agreements with the measured experimental data.
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Affiliation(s)
- Pouyan Keshavarz Motamed
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1 Canada
- Center for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON N2L 3G1 Canada
| | - Hesam Abouali
- Center for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON N2L 3G1 Canada
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1 Canada
| | - Mahla Poudineh
- Center for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON N2L 3G1 Canada
- Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1 Canada
| | - Nima Maftoon
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1 Canada
- Center for Bioengineering and Biotechnology, University of Waterloo, Waterloo, ON N2L 3G1 Canada
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18
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Chen Y, Ni C, Zhang X, Ni Z, Xiang N. High-Throughput Sorting and Single-Cell Mechanotyping by Hydrodynamic Sorting-Mechanotyping Cytometry. SMALL METHODS 2024:e2301195. [PMID: 38213022 DOI: 10.1002/smtd.202301195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/28/2023] [Indexed: 01/13/2024]
Abstract
The existence of many background blood cells hinders the accurate identification of circulating tumor cells (CTCs) in the blood of cancer patients. To unlock this limitation, a hydrodynamic sorting-mechanotyping cytometry (HSMC) integrated with a sorting-concentration chip and a detection chip is proposed for simultaneously achieving the high-throughput cell sorting and the multi-parameter mechanotyping of the sorted tumor cells. The HSMC adopts the spiral inertial microfluidics for label-free sorting of cells in a high-throughput manner, allowing the efficient enrichment of tumor cells from the large background blood cells. Then, the sorted cells are concentrated by the concentration unit and finally passed through the detection unit for hydrodynamic deformation. The HSMC has a high throughput for sorting and detection and can successfully reveal the differences in the cellular mechanical properties. After characterizing and optimizing the single chips, the identification of white blood cells (WBCs) and three types of tumor cells (A549, MCF-7, and MDA-MB-231 cells) is successfully achieved. The identification accuracies for WBCs and different tumor cells are all larger than 94%, while the highest identification accuracy is up to 99.2%. This study envisions that the HSMC will offer an avenue for the analysis of single cell intrinsic mechanics in clinical medicine.
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Affiliation(s)
- Yao Chen
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Chen Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Xiaozhe Zhang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Zhonghua Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
| | - Nan Xiang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, 211189, China
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19
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Feng J, Sun Q, Chen P, Ren K, Zhang Y, Shi Y, Gao S, Song Z, Wang J, Liao F, Han D. Characterization of Cancer Cell Mechanics by Measuring Active Deformation Behavior. SMALL METHODS 2024; 8:e2300520. [PMID: 37775303 DOI: 10.1002/smtd.202300520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 08/17/2023] [Indexed: 10/01/2023]
Abstract
Active deformation behavior reflects cell structural dynamics adapting to varying environmental constraints during malignancy progression. In most cases, cell mechanics is characterized by modeling using static equilibrium systems, which fails to comprehend cell deformation behavior leading to inaccuracies in distinguishing cancer cells from normal cells. Here, a method is introduced to measure the active deformation behavior of cancer cells using atomic force microscopy (AFM) and the newly developed deformation behavior cytometry (DBC). During the measurement, cells are deformed and allows a long timescale relaxation (≈5 s). Two parameters are derived to represent deformation behavior: apparent Poisson's ratio for adherent cells, which is measured with AFM and refers to the ratio of the lateral strain to the longitudinal strain of the cell, and shape recovery for suspended cells, which is measured with DBC. Active deformation behavior defines cancer cell mechanics better than traditional mechanical parameters (e.g., stiffness, diffusion, and viscosity). Additionally, aquaporins are essential for promoting the deformation behavior, while the actin cytoskeleton acts as a downstream effector. Therefore, the potential application of the cancer cell active deformation behavior as a biomechanical marker or therapeutic target in cancer treatment should be evaluated.
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Affiliation(s)
- Jiantao Feng
- Artemisinin Research Center and Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Quanmei Sun
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Peipei Chen
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Keli Ren
- The Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
| | - Yuanyuan Zhang
- Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, China
| | - Yahong Shi
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Songkun Gao
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100006, China
| | - Zhiwei Song
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Jigang Wang
- Artemisinin Research Center and Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Fulong Liao
- Artemisinin Research Center and Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Dong Han
- CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
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20
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Williams DC, Wood DK. High-throughput quantification of red blood cell deformability and oxygen saturation to probe mechanisms of sickle cell disease. Proc Natl Acad Sci U S A 2023; 120:e2313755120. [PMID: 37983504 PMCID: PMC10691249 DOI: 10.1073/pnas.2313755120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023] Open
Abstract
The complex, systemic pathology of sickle cell disease is driven by multiple mechanisms including red blood cells (RBCs) stiffened by polymerized fibers of deoxygenated sickle hemoglobin. A critical step toward understanding the pathologic role of polymer-containing RBCs is quantifying the biophysical changes in these cells in physiologically relevant oxygen environments. We have developed a microfluidic platform capable of simultaneously measuring single RBC deformability and oxygen saturation under controlled oxygen and shear stress. We found that RBCs with detectable amounts of polymer have decreased oxygen affinity and decreased deformability. Surprisingly, the deformability of the polymer-containing cells is oxygen-independent, while the fraction of these cells increases as oxygen decreases. We also find that some fraction of these cells is present at most physiologic oxygen tensions, suggesting a role for these cells in the systemic pathologies. Additionally, the ability to measure these pathological cells should provide clearer targets for evaluating therapies.
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Affiliation(s)
- Dillon C. Williams
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN55455
| | - David K. Wood
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN55455
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21
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Muta M, Kawakubo W, Yoon DH, Tanaka D, Sekiguchi T, Shoji S, Ito M, Hatada Y, Funatsu T, Iizuka R. Deformability-Based Microfluidic Microdroplet Screening to Obtain Agarolytic Bacterial Cells. Anal Chem 2023; 95:16107-16114. [PMID: 37877901 DOI: 10.1021/acs.analchem.3c02174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Environmental microorganisms possess enzymes that can digest macromolecules such as agarose into smaller molecules that can be utilized for growth. These enzymes could be valuable for the effective utilization of global resources. However, since most of the microorganisms on Earth remain uncultured, there is significant untapped enzymatic potential in nature. Therefore, it is necessary to develop innovative tools and strategies for exploring these enzymatic resources. To address this, we developed a method for screening microbial cells that secrete hydrogel-degrading enzymes using deformability-based microfluidic microdroplet sorting. In this method, microbial cells are encapsulated as single cells in water-in-oil (W/O) microdroplets with a hydrogel whose shape becomes deformable as the hydrogel is progressively degraded into smaller molecules. Screening is achieved using a microfluidic device that passively sorts the deformed W/O microdroplets. Using this method, we successfully sorted agarose-containing microdroplets, encapsulating single bacterial cells that hydrolyzed agarose. This method can be used to screen various hydrogel-degrading microbial cells.
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Affiliation(s)
- Mikihisa Muta
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Wataru Kawakubo
- Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
| | - Dong Hyun Yoon
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda Tsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan
| | - Daiki Tanaka
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda Tsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan
| | - Tetsushi Sekiguchi
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda Tsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan
| | - Shuichi Shoji
- Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
- Research Organization for Nano & Life Innovation, Waseda University, 513 Waseda Tsurumakicho, Shinjuku-ku, Tokyo 162-0041, Japan
| | - Mei Ito
- Department of Life Science and Green Chemistry, Faculty of Engineering, Saitama Institute of Technology, 1690 Fusaiji, Fukaya-shi 369-0293, Saitama, Japan
| | - Yuji Hatada
- Department of Life Science and Green Chemistry, Faculty of Engineering, Saitama Institute of Technology, 1690 Fusaiji, Fukaya-shi 369-0293, Saitama, Japan
| | - Takashi Funatsu
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Ryo Iizuka
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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22
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Ullrich KAM, Derdau J, Baltes C, Battistella A, Rosso G, Uderhardt S, Schulze LL, Liu LJ, Dedden M, Spocinska M, Kainka L, Kubánková M, Müller TM, Schmidt NM, Becker E, Ben Brahim O, Atreya I, Finotto S, Prots I, Wirtz S, Weigmann B, López-Posadas R, Atreya R, Ekici AB, Lautenschläger F, Guck J, Neurath MF, Zundler S. IL-3 receptor signalling suppresses chronic intestinal inflammation by controlling mechanobiology and tissue egress of regulatory T cells. Gut 2023; 72:2081-2094. [PMID: 37541770 PMCID: PMC10579496 DOI: 10.1136/gutjnl-2023-329818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/16/2023] [Indexed: 08/06/2023]
Abstract
IL-3 has been reported to be involved in various inflammatory disorders, but its role in inflammatory bowel disease (IBD) has not been addressed so far. Here, we determined IL-3 expression in samples from patients with IBD and studied the impact of Il3 or Il3r deficiency on T cell-dependent experimental colitis. We explored the mechanical, cytoskeletal and migratory properties of Il3r -/- and Il3r +/+ T cells using real-time deformability cytometry, atomic force microscopy, scanning electron microscopy, fluorescence recovery after photobleaching and in vitro and in vivo cell trafficking assays. We observed that, in patients with IBD, the levels of IL-3 in the inflamed mucosa were increased. In vivo, experimental chronic colitis on T cell transfer was exacerbated in the absence of Il-3 or Il-3r signalling. This was attributable to Il-3r signalling-induced changes in kinase phosphorylation and actin cytoskeleton structure, resulting in increased mechanical deformability and enhanced egress of Tregs from the inflamed colon mucosa. Similarly, IL-3 controlled mechanobiology in human Tregs and was associated with increased mucosal Treg abundance in patients with IBD. Collectively, our data reveal that IL-3 signaling exerts an important regulatory role at the interface of biophysical and migratory T cell features in intestinal inflammation and suggest that this might be an interesting target for future intervention.
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Affiliation(s)
- Karen Anne-Marie Ullrich
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Julia Derdau
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Carsten Baltes
- Experimental Physics, Saarland University, Saarbrücken, Germany
| | - Alice Battistella
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Gonzalo Rosso
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Stefan Uderhardt
- Department of Medicine 3, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Exploratory Research Unit, FAU Optical Imaging Competence Center, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Lisa Lou Schulze
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Li-Juan Liu
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Mark Dedden
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Marta Spocinska
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Lucina Kainka
- Experimental Physics, Saarland University, Saarbrücken, Germany
| | - Markéta Kubánková
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Tanja Martina Müller
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Nina-Maria Schmidt
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Emily Becker
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Oumaima Ben Brahim
- Department of Medicine 3, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Exploratory Research Unit, FAU Optical Imaging Competence Center, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Imke Atreya
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Susetta Finotto
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
- Department of Molecular Pneumology, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Iryna Prots
- Dental Clinic 1 - Dental Preservation and Periodontology, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Stefan Wirtz
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Benno Weigmann
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Rocío López-Posadas
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Raja Atreya
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Arif Bülent Ekici
- Institute of Human Genetics, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Franziska Lautenschläger
- Experimental Physics, Saarland University, Saarbrücken, Germany
- Center for Biophysics, Saarland University, Saarbrücken, Germany
| | - Jochen Guck
- Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Markus F Neurath
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
| | - Sebastian Zundler
- Department of Medicine 1, University Hospital Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, Erlangen, Germany
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23
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Li SS, Xue CD, Li YJ, Chen XM, Zhao Y, Qin KR. Microfluidic characterization of single-cell biophysical properties and the applications in cancer diagnosis. Electrophoresis 2023. [PMID: 37909658 DOI: 10.1002/elps.202300177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/25/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Single-cell biophysical properties play a crucial role in regulating cellular physiological states and functions, demonstrating significant potential in the fields of life sciences and clinical diagnostics. Therefore, over the last few decades, researchers have developed various detection tools to explore the relationship between the biophysical changes of biological cells and human diseases. With the rapid advancement of modern microfabrication technology, microfluidic devices have quickly emerged as a promising platform for single-cell analysis offering advantages including high-throughput, exceptional precision, and ease of manipulation. Consequently, this paper provides an overview of the recent advances in microfluidic analysis and detection systems for single-cell biophysical properties and their applications in the field of cancer. The working principles and latest research progress of single-cell biophysical property detection are first analyzed, highlighting the significance of electrical and mechanical properties. The development of data acquisition and processing methods for real-time, high-throughput, and practical applications are then discussed. Furthermore, the differences in biophysical properties between tumor and normal cells are outlined, illustrating the potential for utilizing single-cell biophysical properties for tumor cell identification, classification, and drug response assessment. Lastly, we summarize the limitations of existing microfluidic analysis and detection systems in single-cell biophysical properties, while also pointing out the prospects and future directions of their applications in cancer diagnosis and treatment.
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Affiliation(s)
- Shan-Shan Li
- School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Chun-Dong Xue
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Yong-Jiang Li
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Xiao-Ming Chen
- School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, Liaoning, P. R. China
| | - Yan Zhao
- Department of Stomach Surgery, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, P. R. China
| | - Kai-Rong Qin
- School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, Liaoning, P. R. China
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24
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Di Carlo D. Rapid deformability cytometry for tissue biopsies. Nat Biomed Eng 2023; 7:1337-1339. [PMID: 37903902 DOI: 10.1038/s41551-023-01110-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Affiliation(s)
- Dino Di Carlo
- Departments of Bioengineering and Mechanical & Aerospace Engineering, University of California Los Angeles, Los Angeles, CA, USA.
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25
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Soteriou D, Kubánková M, Schweitzer C, López-Posadas R, Pradhan R, Thoma OM, Györfi AH, Matei AE, Waldner M, Distler JHW, Scheuermann S, Langejürgen J, Eckstein M, Schneider-Stock R, Atreya R, Neurath MF, Hartmann A, Guck J. Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies. Nat Biomed Eng 2023; 7:1392-1403. [PMID: 37024677 PMCID: PMC10651479 DOI: 10.1038/s41551-023-01015-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 02/22/2023] [Indexed: 04/08/2023]
Abstract
During surgery, rapid and accurate histopathological diagnosis is essential for clinical decision making. Yet the prevalent method of intra-operative consultation pathology is intensive in time, labour and costs, and requires the expertise of trained pathologists. Here we show that biopsy samples can be analysed within 30 min by sequentially assessing the physical phenotypes of singularized suspended cells dissociated from the tissues. The diagnostic method combines the enzyme-free mechanical dissociation of tissues, real-time deformability cytometry at rates of 100-1,000 cells s-1 and data analysis by unsupervised dimensionality reduction and logistic regression. Physical phenotype parameters extracted from brightfield images of single cells distinguished cell subpopulations in various tissues, enhancing or even substituting measurements of molecular markers. We used the method to quantify the degree of colon inflammation and to accurately discriminate healthy and tumorous tissue in biopsy samples of mouse and human colons. This fast and label-free approach may aid the intra-operative detection of pathological changes in solid biopsies.
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Affiliation(s)
- Despina Soteriou
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Markéta Kubánková
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Christine Schweitzer
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany
| | - Rocío López-Posadas
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | - Rashmita Pradhan
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | - Oana-Maria Thoma
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
| | - Andrea-Hermina Györfi
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | - Alexandru-Emil Matei
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | - Maximilian Waldner
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
| | - Jörg H W Distler
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Department of Internal Medicine 3-Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
| | | | | | - Markus Eckstein
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
- Institute of Pathology, University Hospital, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Regine Schneider-Stock
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
- Institute of Pathology, University Hospital, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Raja Atreya
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
| | - Markus F Neurath
- Department of Medicine 1-Gastroenterology, Pneumology and Endocrinology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and University Hospital Erlangen, Erlangen, Germany
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
| | - Arndt Hartmann
- Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany
- Institute of Pathology, University Hospital, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Jochen Guck
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany.
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26
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Feng Y, Zhu J, Chai H, He W, Huang L, Wang W. Impedance-Based Multimodal Electrical-Mechanical Intrinsic Flow Cytometry. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2303416. [PMID: 37438542 DOI: 10.1002/smll.202303416] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/21/2023] [Indexed: 07/14/2023]
Abstract
Reflecting various physiological states and phenotypes of single cells, intrinsic biophysical characteristics (e.g., mechanical and electrical properties) are reliable and important, label-free biomarkers for characterizing single cells. However, single-modal mechanical or electrical properties alone are not specific enough to characterize single cells accurately, and it has been long and challenging to couple the conventionally image-based mechanical characterization and impedance-based electrical characterization. In this work, the spatial-temporal characteristics of impedance sensing signal are leveraged, and an impedance-based multimodal electrical-mechanical flow cytometry framework for on-the-fly high-dimensional intrinsic measurement is proposed, that is, Young's modulus E, fluidity β, radius r, cytoplasm conductivity σi , and specific membrane capacitance Csm , of single cells. With multimodal high-dimensional characterization, the electrical-mechanical flow cytometry can better reveal the difference in cell types, demonstrated by the experimental results with three types of cancer cells (HepG2, MCF-7, and MDA-MB-468) with 93.4% classification accuracy and pharmacological perturbations of the cytoskeleton (fixed and Cytochalasin B treated cells) with 95.1% classification accuracy. It is envisioned that multimodal electrical-mechanical flow cytometry provides a new perspective for accurate label-free single-cell intrinsic characterization.
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Affiliation(s)
- Yongxiang Feng
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100190, P. R. China
| | - Junwen Zhu
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100190, P. R. China
| | - Huichao Chai
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100190, P. R. China
| | - Weihua He
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100190, P. R. China
| | - Liang Huang
- Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, Hefei, Anhui, 230002, P. R. China
| | - Wenhui Wang
- State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100190, P. R. China
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27
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Pérez-Domínguez S, Kulkarni SG, Pabijan J, Gnanachandran K, Holuigue H, Eroles M, Lorenc E, Berardi M, Antonovaite N, Marini ML, Lopez Alonso J, Redonto-Morata L, Dupres V, Janel S, Acharya S, Otero J, Navajas D, Bielawski K, Schillers H, Lafont F, Rico F, Podestà A, Radmacher M, Lekka M. Reliable, standardized measurements for cell mechanical properties. NANOSCALE 2023; 15:16371-16380. [PMID: 37789717 DOI: 10.1039/d3nr02034g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Atomic force microscopy (AFM) has become indispensable for studying biological and medical samples. More than two decades of experiments have revealed that cancer cells are softer than healthy cells (for measured cells cultured on stiff substrates). The softness or, more precisely, the larger deformability of cancer cells, primarily independent of cancer types, could be used as a sensitive marker of pathological changes. The wide application of biomechanics in clinics would require designing instruments with specific calibration, data collection, and analysis procedures. For these reasons, such development is, at present, still very limited, hampering the clinical exploitation of mechanical measurements. Here, we propose a standardized operational protocol (SOP), developed within the EU ITN network Phys2BioMed, which allows the detection of the biomechanical properties of living cancer cells regardless of the nanoindentation instruments used (AFMs and other indenters) and the laboratory involved in the research. We standardized the cell cultures, AFM calibration, measurements, and data analysis. This effort resulted in a step-by-step SOP for cell cultures, instrument calibration, measurements, and data analysis, leading to the concordance of the results (Young's modulus) measured among the six EU laboratories involved. Our results highlight the importance of the SOP in obtaining a reproducible mechanical characterization of cancer cells and paving the way toward exploiting biomechanics for diagnostic purposes in clinics.
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Affiliation(s)
| | - Shruti G Kulkarni
- Institute of Biophysics, University of Bremen, 28359, Bremen, Germany.
| | - Joanna Pabijan
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland.
| | - Kajangi Gnanachandran
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland.
| | - Hatice Holuigue
- Department of Physics "Aldo Pontremoli" and CIMAINA, University of Milano, via Celoria 16, 20133 Milano, Italy.
| | - Mar Eroles
- Aix-Marseille Univ., CNRS, INSERM, LAI, Turing Centre for Living Systems, Marseille, France
| | - Ewelina Lorenc
- Department of Physics "Aldo Pontremoli" and CIMAINA, University of Milano, via Celoria 16, 20133 Milano, Italy.
| | - Massimiliano Berardi
- Laserlab, Department of Physics and Astronomy, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands
- Optics11 Life, Hettenheuvelweg 37-39, 1101 BM, Amsterdam, The Netherlands
| | - Nelda Antonovaite
- Optics11 Life, Hettenheuvelweg 37-39, 1101 BM, Amsterdam, The Netherlands
| | - Maria Luisa Marini
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Javier Lopez Alonso
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Lorena Redonto-Morata
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Vincent Dupres
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Sebastien Janel
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Sovon Acharya
- Institute of Physiology II, University Muenster, Robert-Koch-Str. 27b, 48149 Münster, Germany
| | - Jorge Otero
- Institute for Bioengineering of Catalonia and Universitat de Barcelona, Barcelona, Spain
- CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - Daniel Navajas
- Institute for Bioengineering of Catalonia and Universitat de Barcelona, Barcelona, Spain
- CIBER de Enfermedades Respiratorias, Madrid, Spain
| | - Kevin Bielawski
- Optics11 Life, Hettenheuvelweg 37-39, 1101 BM, Amsterdam, The Netherlands
| | - Hermann Schillers
- Institute of Physiology II, University Muenster, Robert-Koch-Str. 27b, 48149 Münster, Germany
| | - Frank Lafont
- Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017, CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Felix Rico
- Aix-Marseille Univ., CNRS, INSERM, LAI, Turing Centre for Living Systems, Marseille, France
| | - Alessandro Podestà
- Department of Physics "Aldo Pontremoli" and CIMAINA, University of Milano, via Celoria 16, 20133 Milano, Italy.
| | - Manfred Radmacher
- Institute of Biophysics, University of Bremen, 28359, Bremen, Germany.
| | - Małgorzata Lekka
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland.
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Sun J, Huang X, Chen J, Xiang R, Ke X, Lin S, Xuan W, Liu S, Cao Z, Sun L. Recent advances in deformation-assisted microfluidic cell sorting technologies. Analyst 2023; 148:4922-4938. [PMID: 37743834 DOI: 10.1039/d3an01150j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Cell sorting is an essential prerequisite for cell research and has great value in life science and clinical studies. Among the many microfluidic cell sorting technologies, label-free methods based on the size of different cell types have been widely studied. However, the heterogeneity in size for cells of the same type and the inevitable size overlap between different types of cells would result in performance degradation in size-based sorting. To tackle such challenges, deformation-assisted technologies are receiving more attention recently. Cell deformability is an inherent biophysical marker of cells that reflects the changes in their internal structures and physiological states. It provides additional dimensional information for cell sorting besides size. Therefore, in this review, we summarize the recent advances in deformation-assisted microfluidic cell sorting technologies. According to how the deformability is characterized and the form in which the force acts, the technologies can be divided into two categories: (1) the indirect category including transit-time-based and image-based methods, and (2) the direct category including microstructure-based and hydrodynamics-based methods. Finally, the separation performance and the application scenarios of each method, the existing challenges and future outlook are discussed. Deformation-assisted microfluidic cell sorting technologies are expected to realize greater potential in the label-free analysis of cells.
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Affiliation(s)
- Jingjing Sun
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Xiwei Huang
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Jin Chen
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Rikui Xiang
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Xiang Ke
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Siru Lin
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Weipeng Xuan
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
| | - Shan Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, China
| | - Zhen Cao
- College of Information Science and Electronic Engineering, Zhejiang University, China
| | - Lingling Sun
- Ministry of Education Key Lab of RF Circuits and Systems, Hangzhou Dianzi University, China.
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Hua H, Zou S, Ma Z, Guo W, Fong CY, Khoo BL. A deformability-based biochip for precise label-free stratification of metastatic subtypes using deep learning. MICROSYSTEMS & NANOENGINEERING 2023; 9:120. [PMID: 37780810 PMCID: PMC10539402 DOI: 10.1038/s41378-023-00577-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/08/2023] [Accepted: 07/07/2023] [Indexed: 10/03/2023]
Abstract
Cellular deformability is a promising biomarker for evaluating the physiological state of cells in medical applications. Microfluidics has emerged as a powerful technique for measuring cellular deformability. However, existing microfluidic-based assays for measuring cellular deformability rely heavily on image analysis, which can limit their scalability for high-throughput applications. Here, we develop a parallel constriction-based microfluidic flow cytometry device and an integrated computational framework (ATMQcD). The ATMQcD framework includes automatic training set generation, multiple object tracking, segmentation, and cellular deformability quantification. The system was validated using cancer cell lines of varying metastatic potential, achieving a classification accuracy of 92.4% for invasiveness assessment and stratifying cancer cells before and after hypoxia treatment. The ATMQcD system also demonstrated excellent performance in distinguishing cancer cells from leukocytes (accuracy = 89.5%). We developed a mechanical model based on power-law rheology to quantify stiffness, which was fitted with measured data directly. The model evaluated metastatic potentials for multiple cancer types and mixed cell populations, even under real-world clinical conditions. Our study presents a highly robust and transferable computational framework for multiobject tracking and deformation measurement tasks in microfluidics. We believe that this platform has the potential to pave the way for high-throughput analysis in clinical applications, providing a powerful tool for evaluating cellular deformability and assessing the physiological state of cells.
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Affiliation(s)
- Haojun Hua
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
| | - Shangjie Zou
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Zhiqiang Ma
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Wang Guo
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
| | - Ching Yin Fong
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
| | - Bee Luan Khoo
- City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, 999077 China
- Hong Kong Center for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, 999077 China
- City University of Hong Kong Futian-Shenzhen Research Institute, Shenzhen, 518057 China
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Zhou S, Chen B, Fu ES, Yan H. Computer vision meets microfluidics: a label-free method for high-throughput cell analysis. MICROSYSTEMS & NANOENGINEERING 2023; 9:116. [PMID: 37744264 PMCID: PMC10511704 DOI: 10.1038/s41378-023-00562-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 03/21/2023] [Accepted: 04/10/2023] [Indexed: 09/26/2023]
Abstract
In this paper, we review the integration of microfluidic chips and computer vision, which has great potential to advance research in the life sciences and biology, particularly in the analysis of cell imaging data. Microfluidic chips enable the generation of large amounts of visual data at the single-cell level, while computer vision techniques can rapidly process and analyze these data to extract valuable information about cellular health and function. One of the key advantages of this integrative approach is that it allows for noninvasive and low-damage cellular characterization, which is important for studying delicate or fragile microbial cells. The use of microfluidic chips provides a highly controlled environment for cell growth and manipulation, minimizes experimental variability and improves the accuracy of data analysis. Computer vision can be used to recognize and analyze target species within heterogeneous microbial populations, which is important for understanding the physiological status of cells in complex biological systems. As hardware and artificial intelligence algorithms continue to improve, computer vision is expected to become an increasingly powerful tool for in situ cell analysis. The use of microelectromechanical devices in combination with microfluidic chips and computer vision could enable the development of label-free, automatic, low-cost, and fast cellular information recognition and the high-throughput analysis of cellular responses to different compounds, for broad applications in fields such as drug discovery, diagnostics, and personalized medicine.
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Affiliation(s)
- Shizheng Zhou
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228 China
| | - Bingbing Chen
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228 China
| | - Edgar S. Fu
- Graduate School of Computing and Information Science, University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - Hong Yan
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, 570228 China
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31
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Kang YJ. Biomechanical Investigation of Red Cell Sedimentation Using Blood Shear Stress and Blood Flow Image in a Capillary Chip. MICROMACHINES 2023; 14:1594. [PMID: 37630130 PMCID: PMC10456426 DOI: 10.3390/mi14081594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/01/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023]
Abstract
Blood image intensity has been used to detect erythrocyte sedimentation rate (ESR). However, it does not give information on the biophysical properties of blood samples under continuous ESR. In this study, to quantify mechanical variations of blood under continuous ESR, blood shear stress and blood image intensity were obtained by analyzing blood flows in the capillary channel. A blood sample is loaded into a driving syringe to demonstrate the proposed method. The blood flow rate is set in a periodic on-off pattern. A blood sample is then supplied into a capillary chip, and microscopic blood images are captured at specific intervals. Blood shear stress is quantified from the interface of the bloodstream in the coflowing channel. τ0 is defined as the maximum shear stress obtained at the first period. Simultaneously, ESRτ is then obtained by analyzing temporal variations of blood shear stress for every on period. AII is evaluated by analyzing the temporal variation of blood image intensity for every off period. According to the experimental results, a shorter period of T = 4 min and no air cavity contributes to the high sensitivity of the two indices (ESRτ and AII). The τ0 exhibits substantial differences with respect to hematocrits (i.e., 30-50%) as well as diluents. The ESRτ and AII showed a reciprocal relationship with each other. Three suggested properties represented substantial differences for suspended blood samples (i.e., hardened red blood cells, different concentrations of dextran solution, and fibrinogen). In conclusion, the present method can detect variations in blood samples under continuous ESR effectively.
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Affiliation(s)
- Yang Jun Kang
- Department of Mechanical Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Republic of Korea
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Sampietro M, Cassina V, Salerno D, Barbaglio F, Buglione E, Marrano CA, Campanile R, Scarfò L, Biedenweg D, Fregin B, Zamai M, Díaz Torres A, Labrador Cantarero V, Ghia P, Otto O, Mantegazza F, Caiolfa VR, Scielzo C. The Nanomechanical Properties of CLL Cells Are Linked to the Actin Cytoskeleton and Are a Potential Target of BTK Inhibitors. Hemasphere 2023; 7:e931. [PMID: 37492437 PMCID: PMC10365208 DOI: 10.1097/hs9.0000000000000931] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 06/15/2023] [Indexed: 07/27/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is an incurable disease characterized by an intense trafficking of the leukemic cells between the peripheral blood and lymphoid tissues. It is known that the ability of lymphocytes to recirculate strongly depends on their capability to rapidly rearrange their cytoskeleton and adapt to external cues; however, little is known about the differences occurring between CLL and healthy B cells during these processes. To investigate this point, we applied a single-cell optical (super resolution microscopy) and nanomechanical approaches (atomic force microscopy, real-time deformability cytometry) to both CLL and healthy B lymphocytes and compared their behavior. We demonstrated that CLL cells have a specific actomyosin complex organization and altered mechanical properties in comparison to their healthy counterpart. To evaluate the clinical relevance of our findings, we treated the cells in vitro with the Bruton's tyrosine kinase inhibitors and we found for the first time that the drug restores the CLL cells mechanical properties to a healthy phenotype and activates the actomyosin complex. We further validated these results in vivo on CLL cells isolated from patients undergoing ibrutinib treatment. Our results suggest that CLL cells' mechanical properties are linked to their actin cytoskeleton organization and might be involved in novel mechanisms of drug resistance, thus becoming a new potential therapeutic target aiming at the normalization of the mechanical fingerprints of the leukemic cells.
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Affiliation(s)
- Marta Sampietro
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
- Unit of Malignant B cells biology and 3D modelling, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
- Unit of Microscopy and Dynamic Imaging, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Valeria Cassina
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Domenico Salerno
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Federica Barbaglio
- Unit of Malignant B cells biology and 3D modelling, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Enrico Buglione
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Claudia Adriana Marrano
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Riccardo Campanile
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Lydia Scarfò
- Unit B Cell Neoplasia, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Strategic Research Program on CLL, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Doreen Biedenweg
- Klinik für Innere Medizin B, Universitätsmedizin Greifswald, Fleischmannstr, Germany
| | - Bob Fregin
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V., Standort Greifswald, Universitätsmedizin Greifswald, Fleischmannstr, Germany
- Zentrum für Innovationskompetenz: Humorale Immunreaktionen bei kardiovaskulären Erkrankungen, Universität Greifswald, Fleischmannstr, Germany
- Institute of Physics, Universität Greifswald, Felix-Hausdorff-Strasse, Germany
| | - Moreno Zamai
- Unit of Microscopy and Dynamic Imaging, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Alfonsa Díaz Torres
- Unit of Microscopy and Dynamic Imaging, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Veronica Labrador Cantarero
- Unit of Microscopy and Dynamic Imaging, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Paolo Ghia
- Unit B Cell Neoplasia, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
- Strategic Research Program on CLL, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Oliver Otto
- Deutsches Zentrum für Herz-Kreislauf-Forschung e.V., Standort Greifswald, Universitätsmedizin Greifswald, Fleischmannstr, Germany
- Zentrum für Innovationskompetenz: Humorale Immunreaktionen bei kardiovaskulären Erkrankungen, Universität Greifswald, Fleischmannstr, Germany
- Institute of Physics, Universität Greifswald, Felix-Hausdorff-Strasse, Germany
| | - Francesco Mantegazza
- School of Medicine and Surgery, BioNanoMedicine Center NANOMIB, Università di Milano-Bicocca, Vedano al Lambro, Italy
| | - Valeria R. Caiolfa
- Unit of Microscopy and Dynamic Imaging, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Experimental Imaging Center, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Cristina Scielzo
- Unit of Malignant B cells biology and 3D modelling, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
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33
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Charan MR, Augustsson P. Acoustophoretic Characterization and Separation of Blood Cells in Acoustic Impedance Gradients. PHYSICAL REVIEW APPLIED 2023; 20:024066. [PMID: 38333566 PMCID: PMC7615610 DOI: 10.1103/physrevapplied.20.024066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Single-cell phenotyping based on biophysical properties is a promising tool to distinguish cell types and their response to a given condition, and charting such properties also enables optimization of cell separations. Isoacoustic focusing, where cells migrate to their points of zero acoustic contrast in an acoustic impedance gradient, added the effective acoustic impedance of cells to the directory of biophysical properties that can be utilized to categorize or separate cells. This study investigates isoacoustic focusing in a stop-flow regime and shows how cells migrate towards their isoacoustic point. We introduce a numerical model that we use to estimate the acoustic energy density in acoustic impedance gradient media by tracking particles of known properties, and we investigate the effect of acoustic streaming. From the measured trajectories of cells combined with fluorescence intensity images of the slowly diffusing gradient, we read out the effective acoustic impedance of neutrophils and K562 cancer cells. Finally, we propose suitable acoustic impedance gradients that lead to a high degree separation of neutrophils and K562 cells in a continuous-flow configuration.
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Affiliation(s)
- Mahdi Rezayati Charan
- Department of Biomedical Engineering, Lund University, Ole Römers Väg 3, 22363 Lund, Sweden
| | - Per Augustsson
- Department of Biomedical Engineering, Lund University, Ole Römers Väg 3, 22363 Lund, Sweden
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Dubay R, Darling EM, Fiering J. Microparticles with tunable, cell-like properties for quantitative acoustic mechanophenotyping. MICROSYSTEMS & NANOENGINEERING 2023; 9:90. [PMID: 37448969 PMCID: PMC10336031 DOI: 10.1038/s41378-023-00556-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/21/2023] [Accepted: 05/08/2023] [Indexed: 07/18/2023]
Abstract
Mechanical properties of biological cells have been shown to correlate with their biomolecular state and function, and therefore methods to measure these properties at scale are of interest. Emerging microfluidic technologies can measure the mechanical properties of cells at rates over 20,000 cells/s, which is more than four orders of magnitude faster than conventional instrumentation. However, precise and repeatable means to calibrate and test these new tools remain lacking, since cells themselves are by nature variable. Commonly, microfluidic tools use rigid polymer microspheres for calibration because they are widely available in cell-similar sizes, but conventional microspheres do not fully capture the physiological range of other mechanical properties that are equally important to device function (e.g., elastic modulus and density). Here, we present for the first time development of monodisperse polyacrylamide microparticles with both tunable elasticity and tunable density. Using these size, elasticity, and density tunable particles, we characterized a custom acoustic microfluidic device that makes single-cell measurements of mechanical properties. We then applied the approach to measure the distribution of the acoustic properties within samples of human leukocytes and showed that the system successfully discriminates lymphocytes from other leukocytes. This initial demonstration shows how the tunable microparticles with properties within the physiologically relevant range can be used in conjunction with microfluidic devices for efficient high-throughput measurements of mechanical properties at single-cell resolution.
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Affiliation(s)
- Ryan Dubay
- Center for Biomedical Engineering, Brown University, Providence, RI 02912 USA
- Biological Microsystems, Draper, Cambridge, MA 02139 USA
| | - Eric M. Darling
- Center for Biomedical Engineering, Brown University, Providence, RI 02912 USA
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI 02912 USA
- School of Engineering, Brown University, Providence, RI 02912 USA
- Department of Orthopaedics, Brown University, Providence, RI 02912 USA
| | - Jason Fiering
- Biological Microsystems, Draper, Cambridge, MA 02139 USA
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Gao H, Zhou J, Naderi MM, Peng Z, Papautsky I. Evolution of focused streams for viscoelastic flow in spiral microchannels. MICROSYSTEMS & NANOENGINEERING 2023; 9:73. [PMID: 37288322 PMCID: PMC10241945 DOI: 10.1038/s41378-023-00520-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 03/05/2023] [Accepted: 03/13/2023] [Indexed: 06/09/2023]
Abstract
Particle migration dynamics in viscoelastic fluids in spiral channels have attracted interest in recent years due to potential applications in the 3D focusing and label-free sorting of particles and cells. Despite a number of recent studies, the underlying mechanism of Dean-coupled elasto-inertial migration in spiral microchannels is not fully understood. In this work, for the first time, we experimentally demonstrate the evolution of particle focusing behavior along a channel downstream length at a high blockage ratio. We found that flow rate, device curvature, and medium viscosity play important roles in particle lateral migration. Our results illustrate the full focusing pattern along the downstream channel length, with side-view imaging yielding observations on the vertical migration of focused streams. Ultimately, we anticipate that these results will offer a useful guide for elasto-inertial microfluidics device design to improve the efficiency of 3D focusing in cell sorting and cytometry applications.
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Affiliation(s)
- Hua Gao
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607 USA
| | - Jian Zhou
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607 USA
| | - Mohammad Moein Naderi
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607 USA
| | - Zhangli Peng
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607 USA
| | - Ian Papautsky
- Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607 USA
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36
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Zhang R, Duan X, Zhang S, Guo W, Sun C, Han Z. Tunable microfluidic chip for single-cell deformation study. NANOTECHNOLOGY AND PRECISION ENGINEERING 2023. [DOI: 10.1063/10.0017649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Microfluidic phenotyping methods have been of vital importance for cellular characterization, especially for evaluating single cells. In order to study the deformability of a single cell, we devised and tested a tunable microfluidic chip-based method. A pneumatic polymer polydimethylsiloxane (PDMS) membrane was designed and fabricated abutting a single-cell trapping structure, so the cell could be squeezed controllably in a lateral direction. Cell contour changes under increasing pressure were recorded, enabling the deformation degree of different types of single cell to be analyzed and compared using computer vision. This provides a new perspective for studying mechanical properties of cells at the single cell level.
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Affiliation(s)
- Ruiyun Zhang
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Xuexin Duan
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Shuaihua Zhang
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Wenlan Guo
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Chen Sun
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Ziyu Han
- College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
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37
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Martín-Pérez A, Ramos D. Nanomechanical hydrodynamic force sensing using suspended microfluidic channels. MICROSYSTEMS & NANOENGINEERING 2023; 9:53. [PMID: 37168769 PMCID: PMC10164740 DOI: 10.1038/s41378-023-00531-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 03/24/2023] [Accepted: 03/28/2023] [Indexed: 05/13/2023]
Abstract
Microfluidics has demonstrated high versatility in the analysis of in-flow particles and can even achieve mechanical properties measurements of biological cells by applying hydrodynamic forces. However, there is currently no available technique that enables the direct measurement and tracking of these hydrodynamic forces acting on a flowing particle. In this work, we introduce a novel method for the direct measurement of the hydrodynamic force actuating on an in-flow particle based on the analysis of the induced resonance changes of suspended microchannel resonators (SMRs). This hydrodynamic force sensitivity depends on the device used; therefore, we considered the geometry and materials to advance this dependency on the SMR resonance frequency.
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Affiliation(s)
- Alberto Martín-Pérez
- Optomechanics Lab, Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), 3 Sor Juana Inés de la Cruz (Madrid), E-28049 Madrid, Spain
| | - Daniel Ramos
- Optomechanics Lab, Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), 3 Sor Juana Inés de la Cruz (Madrid), E-28049 Madrid, Spain
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38
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Szydlak R, Øvreeide IH, Luty M, Zieliński T, Prot VE, Zemła J, Stokke BT, Lekka M. Bladder Cancer Cells Interaction with Lectin-Coated Surfaces under Static and Flow Conditions. Int J Mol Sci 2023; 24:ijms24098213. [PMID: 37175920 PMCID: PMC10179195 DOI: 10.3390/ijms24098213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/21/2023] [Accepted: 04/29/2023] [Indexed: 05/15/2023] Open
Abstract
Aberrant expression of glycans, i.e., oligosaccharide moiety covalently attached to proteins or lipids, is characteristic of various cancers, including urothelial ones. The binding of lectins to glycans is classified as molecular recognition, which makes lectins a strong tool for understanding their role in developing diseases. Here, we present a quantitative approach to tracing glycan-lectin interactions in cells, from the initial to the steady phase of adhesion. The cell adhesion was measured between urothelial cell lines (non-malignant HCV29 and carcinoma HT1376 and T24 cells) and lectin-coated surfaces. Depending on the timescale, single-cell force spectroscopy, and adhesion assays conducted in static and flow conditions were applied. The obtained results reveal that the adhesion of urothelial cells to two specific lectins, i.e., phytohemagglutinin-L and wheat germ agglutinin, was specific and selective. Thus, these lectins can be applied to selectively capture, identify, and differentiate between cancer types in a label-free manner. These results open up the possibility of designing lectin-based biosensors for diagnostic or prognostic purposes and developing strategies for drug delivery that could target cancer-associated glycans.
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Affiliation(s)
- Renata Szydlak
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland
| | - Ingrid H Øvreeide
- Biophysics and Medical Technology, Department of Physics, The Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Marcin Luty
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland
| | - Tomasz Zieliński
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland
| | - Victorien E Prot
- Biomechanics, Department of Structural Engineering, The Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Joanna Zemła
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland
| | - Bjørn T Stokke
- Biophysics and Medical Technology, Department of Physics, The Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Małgorzata Lekka
- Department of Biophysical Microstructures, Institute of Nuclear Physics, Polish Academy of Sciences, PL-31342 Kraków, Poland
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Wang H, Boardman J, Zhang X, Sun C, Cai M, Wei J, Dong Z, Feng M, Liang D, Hu S, Qian Y, Dong S, Fu Y, Torun H, Clayton A, Wu Z, Xie Z, Yang X. An enhanced tilted-angle acoustic tweezer for mechanical phenotyping of cancer cells. Anal Chim Acta 2023; 1255:341120. [PMID: 37032048 DOI: 10.1016/j.aca.2023.341120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/01/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023]
Abstract
Acoustofluidic devices becomes one of the emerging and versatile tools for many biomedical applications. Most of the previous acoustofluidic devices are used for cells manipulation, and the few devices for cell phenotyping with a limitation in throughput. In this study, an enhanced tilted-angle (ETA) acoustofluidic device is developed and applied for mechanophenotyping of live cells. The ETA Device consists of an interdigital transducer which is positioned along a microfluidic channel. An inclination angle of 5° is introduced between the interdigital transducer and the liquid flow direction. The pressure nodes formed inside the acoustofluidic field in the channel deflect the biological cells from their original course in accordance with their mechanical properties, including volume, compressibility, and density. The threshold power for fully converging the cells to the pressure node is used to calculate the acoustic contrast factor. To demonstrate the ETA device in cell mechanophenotyping, and distinguishing between different cell types, further experimentation is carried out by using A549 (lung cancer cells), MDB-MA-231 (breast cancer cells), and leukocytes. The resulting acoustic contrast factors for the lung and breast cancer cells are different from that of the leukocytes by 27.9% and 21.5%, respectively. These results suggest this methodology can successfully distinguish and phenotype different cell types based on the acoustic contrast factor.
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40
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Liang M, Tang Q, Zhong J, Ai Y. Machine learning empowered multi-stress level electromechanical phenotyping for high-dimensional single cell analysis. Biosens Bioelectron 2023; 225:115086. [PMID: 36696849 DOI: 10.1016/j.bios.2023.115086] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 11/17/2022] [Accepted: 01/16/2023] [Indexed: 01/20/2023]
Abstract
Microfluidics provides a powerful platform for biological analysis by harnessing the ability to precisely manipulate fluids and microparticles with integrated microsensors. Here, we introduce an imaging and impedance cell analyzer (IM2Cell), which implements single cell level impedance analysis and hydrodynamic mechanical phenotyping simultaneously. For the first time, IM2Cell demonstrates the capability of multi-stress level mechanical phenotyping. Specifically, IM2Cell is capable of characterizing cell diameter, three deformability responses, and four electrical properties. It presents high-dimensional information to give insight into subcellular components such as cell membrane, cytoplasm, cytoskeleton, and nucleus. In this work, we first validate imaging and impedance-based cell analyses separately. Then, the two techniques are combined to obtain both imaging and impedance data analyzed by machine learning method, exhibiting an improved prediction accuracy from 83.1% to 95.4% between fixed and living MDA-MB-231 breast cancer cells. Next, IM2Cell demonstrates 91.2% classification accuracy in a mixture of unlabeled MCF-10A, MCF-7, and MDA-MB-231 cell lines. Finally, an application demonstrates the potential of IM2Cell for the deformability studies of peripheral blood mononuclear cells (PBMCs) subpopulations without cumbersome isolation or labeling steps.
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Affiliation(s)
- Minhui Liang
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Qiang Tang
- Jiangsu Provincal Engineering Research Center for Biomedical Materials and Advanced Medical Devices, Faculty of Mechanical and Material Engineering, Huaiyin Institute of Technology, Huaian, 223003, China
| | - Jianwei Zhong
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore
| | - Ye Ai
- Pillar of Engineering Product Development, Singapore University of Technology and Design, 8 Somapah Road, Singapore, 487372, Singapore.
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41
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Yu L, Chen L, Liu Y, Zhu J, Wang F, Ma L, Yi K, Xiao H, Zhou F, Wang F, Bai L, Zhu Y, Xiao X, Yang Y. Magnetically Actuated Hydrogel Stamping-Assisted Cellular Mechanical Analyzer for Stored Blood Quality Detection. ACS Sens 2023; 8:1183-1191. [PMID: 36867892 DOI: 10.1021/acssensors.2c02507] [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: 03/05/2023]
Abstract
Cellular mechanical property analysis reflecting the physiological and pathological states of cells plays a crucial role in assessing the quality of stored blood. However, its complex equipment needs, operation difficulty, and clogging issues hinder automated and rapid biomechanical testing. Here, we propose a promising biosensor assisted by magnetically actuated hydrogel stamping to fulfill it. The flexible magnetic actuator triggers the collective deformation of multiple cells in the light-cured hydrogel, and it allows for on-demand bioforce stimulation with the advantages of portability, cost-effectiveness, and simplicity of operation. The magnetically manipulated cell deformation processes are captured by the integrated miniaturized optical imaging system, and the cellular mechanical property parameters are extracted from the captured images for real-time analysis and intelligent sensing. In this work, 30 clinical blood samples with different storage durations (<14 days and >14 days) were tested. A deviation of 3.3% in the differentiation of blood storage durations by this system compared to physician annotation demonstrated its feasibility. This system should broaden the application of cellular mechanical assays in diverse clinical settings.
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Affiliation(s)
- Le Yu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Longfei Chen
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Yantong Liu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Jiaomeng Zhu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Fang Wang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Linlu Ma
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Hui Xiao
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Long Bai
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yimin Zhu
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Xuan Xiao
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Yi Yang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
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42
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Wittwer LD, Reichel F, Müller P, Guck J, Aland S. A new hyperelastic lookup table for RT-DC. SOFT MATTER 2023; 19:2064-2073. [PMID: 36853279 DOI: 10.1039/d2sm01418a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Real-time deformability cytometry (RT-DC) is an established method that quantifies features like size, shape, and stiffness for whole cell populations on a single-cell level in real-time. A lookup table (LUT) disentangles the experimentally derived steady-state cell deformation and the projected area to extract the cell stiffness in the form of the Young's modulus. So far, two lookup tables exist but are limited to simple linear material models and cylindrical channel geometries. Here, we present two new lookup tables for RT-DC based on a neo-Hookean hyperelastic material numerically derived by simulations based on the finite element method in square and cylindrical channel geometries. At the same time, we quantify the influence of the shear-thinning behavior of the surrounding medium on the stationary deformation of cells in RT-DC and discuss the applicability and impact of the proposed LUTs regarding past and future RT-DC data analysis. Additionally, we provide insights about the cell strain and stresses, as well as the influence resulting from the rotational symmetric assumption on the cell deformation and volume estimation. The new lookup tables and the numerical cell shapes are made freely available.
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Affiliation(s)
- Lucas Daniel Wittwer
- Institute of Numerical Mathematics and Optimisation, TU Freiberg, Akademiestrasse 6, 09599 Freiberg, Germany
- Faculty of Informatics/Mathematics, HTW Dresden, Friedrich-List-Platz 1, 01069 Dresden, Germany
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudtstrasse 2, 91058 Erlangen, Germany.
| | - Felix Reichel
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudtstrasse 2, 91058 Erlangen, Germany.
- Chair of Biological Optomechanics, FAU Erlangen-Nürnberg, Universitätsstraße 40, 91054 Erlangen, Germany
| | - Paul Müller
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudtstrasse 2, 91058 Erlangen, Germany.
| | - Jochen Guck
- Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudtstrasse 2, 91058 Erlangen, Germany.
- Chair of Biological Optomechanics, FAU Erlangen-Nürnberg, Universitätsstraße 40, 91054 Erlangen, Germany
| | - Sebastian Aland
- Institute of Numerical Mathematics and Optimisation, TU Freiberg, Akademiestrasse 6, 09599 Freiberg, Germany
- Faculty of Informatics/Mathematics, HTW Dresden, Friedrich-List-Platz 1, 01069 Dresden, Germany
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43
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Shen L, Tian Z, Zhang J, Zhu H, Yang K, Li T, Rich J, Upreti N, Hao N, Pei Z, Jin G, Yang S, Liang Y, Chaohui W, Huang TJ. Acousto-dielectric tweezers for size-insensitive manipulation and biophysical characterization of single cells. Biosens Bioelectron 2023; 224:115061. [PMID: 36634509 DOI: 10.1016/j.bios.2023.115061] [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: 06/11/2022] [Revised: 10/03/2022] [Accepted: 01/03/2023] [Indexed: 01/07/2023]
Abstract
The intrinsic biophysical properties of cells, such as mechanical, acoustic, and electrical properties, are valuable indicators of a cell's function and state. However, traditional single-cell biophysical characterization methods are hindered by limited measurable properties, time-consuming procedures, and complex system setups. This study presents acousto-dielectric tweezers that leverage the balance between controllable acoustophoretic and dielectrophoretic forces applied on cells through surface acoustic waves and alternating current electric fields, respectively. Particularly, the balanced acoustophoretic and dielectrophoretic forces can trap cells at equilibrium positions independent of the cell size to differentiate between various cell-intrinsic mechanical, acoustic, and electrical properties. Experimental results show our mechanism has the potential for applications in single-cell analysis, size-insensitive cell separation, and cell phenotyping, which are all primarily based on cells' intrinsic biophysical properties. Our results also show the measured equilibrium position of a cell can inversely determine multiple biophysical properties, including membrane capacitance, cytoplasm conductivity, and acoustic contrast factor. With these features, our acousto-dielectric tweezing mechanism is a valuable addition to the resources available for biophysical property-based biological and medical research.
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Affiliation(s)
- Liang Shen
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA; State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
| | - Zhenhua Tian
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.
| | - Jinxin Zhang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Haodong Zhu
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Kaichun Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Teng Li
- Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Joseph Rich
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Neil Upreti
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Nanjing Hao
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Zhichao Pei
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Geonsoo Jin
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Shujie Yang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA
| | - Yaosi Liang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, 27708, USA
| | - Wang Chaohui
- State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
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44
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Millett PC. Rheology and structure of elastic capsule suspensions within rectangular channels. SOFT MATTER 2023; 19:1759-1771. [PMID: 36779398 DOI: 10.1039/d3sm00055a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Three-dimensional simulations of the pressure-driven flow dynamics of elastic capsule suspensions within both slit and rectangular cross-section channels are presented. The simulations utilize the Immersed Boundary Method and the Lattice-Boltzmann Method models. The capsule volume fraction is fixed at 0.1 (i.e., a semi-dilute suspension), while the channel Reynolds number (Re), the capillary number (Ca), and the cross-sectional channel dimensions are systematically varied. Comparing results for slit and rectangular channels, it is found that multi-directional confinement hinders inertial focusing due to the capsule-free layers that develop in the two transverse directions. Furthermore, the thicknesses of the capsule-free layers in the two transverse directions differ when the height and width of the channel are not equal. Both the size and aspect ratio of the channel impact the apparent viscosity. It is found that square channels exhibit maximal viscosity and that holding one dimension fixed while increasing or decreasing the other results in a decrease in viscosity. The results therefore represent an expansion of the Fahraeus-Lindqvist effect from 1D cylindrical channels to 2D rectangular channels.
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Affiliation(s)
- Paul C Millett
- Department of Mechanical Engineering, University of Arkansas, USA.
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45
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Lu N, Tay HM, Petchakup C, He L, Gong L, Maw KK, Leong SY, Lok WW, Ong HB, Guo R, Li KHH, Hou HW. Label-free microfluidic cell sorting and detection for rapid blood analysis. LAB ON A CHIP 2023; 23:1226-1257. [PMID: 36655549 DOI: 10.1039/d2lc00904h] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Blood tests are considered as standard clinical procedures to screen for markers of diseases and health conditions. However, the complex cellular background (>99.9% RBCs) and biomolecular composition often pose significant technical challenges for accurate blood analysis. An emerging approach for point-of-care blood diagnostics is utilizing "label-free" microfluidic technologies that rely on intrinsic cell properties for blood fractionation and disease detection without any antibody binding. A growing body of clinical evidence has also reported that cellular dysfunction and their biophysical phenotypes are complementary to standard hematoanalyzer analysis (complete blood count) and can provide a more comprehensive health profiling. In this review, we will summarize recent advances in microfluidic label-free separation of different blood cell components including circulating tumor cells, leukocytes, platelets and nanoscale extracellular vesicles. Label-free single cell analysis of intrinsic cell morphology, spectrochemical properties, dielectric parameters and biophysical characteristics as novel blood-based biomarkers will also be presented. Next, we will highlight research efforts that combine label-free microfluidics with machine learning approaches to enhance detection sensitivity and specificity in clinical studies, as well as innovative microfluidic solutions which are capable of fully integrated and label-free blood cell sorting and analysis. Lastly, we will envisage the current challenges and future outlook of label-free microfluidics platforms for high throughput multi-dimensional blood cell analysis to identify non-traditional circulating biomarkers for clinical diagnostics.
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Affiliation(s)
- Nan Lu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
| | - Hui Min Tay
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Chayakorn Petchakup
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Linwei He
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Lingyan Gong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Kay Khine Maw
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Sheng Yuan Leong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Wan Wei Lok
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Hong Boon Ong
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
| | - Ruya Guo
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - King Ho Holden Li
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
| | - Han Wei Hou
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Blk N3, Level 2, Room 86 (N3-02c-86), 639798, Singapore.
- HP-NTU Digital Manufacturing Corporate Lab, Nanyang Technological University, 65 Nanyang Drive, Block N3, 637460, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Clinical Sciences Building, 308232, Singapore
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46
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Salipante PF. Microfluidic techniques for mechanical measurements of biological samples. BIOPHYSICS REVIEWS 2023; 4:011303. [PMID: 38505816 PMCID: PMC10903441 DOI: 10.1063/5.0130762] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/30/2022] [Indexed: 03/21/2024]
Abstract
The use of microfluidics to make mechanical property measurements is increasingly common. Fabrication of microfluidic devices has enabled various types of flow control and sensor integration at micrometer length scales to interrogate biological materials. For rheological measurements of biofluids, the small length scales are well suited to reach high rates, and measurements can be made on droplet-sized samples. The control of flow fields, constrictions, and external fields can be used in microfluidics to make mechanical measurements of individual bioparticle properties, often at high sampling rates for high-throughput measurements. Microfluidics also enables the measurement of bio-surfaces, such as the elasticity and permeability properties of layers of cells cultured in microfluidic devices. Recent progress on these topics is reviewed, and future directions are discussed.
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Affiliation(s)
- Paul F. Salipante
- National Institute of Standards and Technology, Polymers and Complex Fluids Group, Gaithersburg, Maryland 20899, USA
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47
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Wang Z, Lu R, Wang W, Tian FB, Feng JJ, Sui Y. A computational model for the transit of a cancer cell through a constricted microchannel. Biomech Model Mechanobiol 2023:10.1007/s10237-023-01705-6. [PMID: 36854992 PMCID: PMC10366299 DOI: 10.1007/s10237-023-01705-6] [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: 10/31/2022] [Accepted: 02/13/2023] [Indexed: 03/02/2023]
Abstract
We propose a three-dimensional computational model to simulate the transient deformation of suspended cancer cells flowing through a constricted microchannel. We model the cell as a liquid droplet enclosed by a viscoelastic membrane, and its nucleus as a smaller stiffer capsule. The cell deformation and its interaction with the suspending fluid are solved through a well-tested immersed boundary lattice Boltzmann method. To identify a minimal mechanical model that can quantitatively predict the transient cell deformation in a constricted channel, we conduct extensive parametric studies of the effects of the rheology of the cell membrane, cytoplasm and nucleus and compare the results with a recent experiment conducted on human leukaemia cells. We find that excellent agreement with the experiment can be achieved by employing a viscoelastic cell membrane model with the membrane viscosity depending on its mode of deformation (shear versus elongation). The cell nucleus limits the overall deformation of the whole cell, and its effect increases with the nucleus size. The present computational model may be used to guide the design of microfluidic devices to sort cancer cells, or to inversely infer cell mechanical properties from their flow-induced deformation.
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Affiliation(s)
- Z Wang
- School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK
| | - R Lu
- School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK
| | - W Wang
- School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK
| | - F B Tian
- School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, 2600, Australia
| | - J J Feng
- Departments of Mathematics and Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, V6T 1Z2, Canada
| | - Y Sui
- School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.
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48
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Immature and mature bone marrow-derived dendritic cells exhibit distinct intracellular mechanical properties. Sci Rep 2023; 13:1967. [PMID: 36737470 PMCID: PMC9898242 DOI: 10.1038/s41598-023-28625-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Dendritic cells (DCs) patrol the organism at an immature stage to detect the presence of pathogens. Once activated, these mature DCs reach the lymph nodes to activate antigen-specific T lymphocytes and thus initiate an adaptative immune response to control the pathogen. The migration of both immature and mature DCs is a key process for their optimal function. DC migration requires transit through narrow constrictions that is allowed by their high local and global deformation capabilities. In addition to cytoplasmic changes, the nucleus mechanical properties also have a major impact for cellular migration and motility. Yet, nucleus intracellular mobility of dendritic cells or its variation upon maturation have not been investigated. Our study defines the biophysical phenotypic variations of dendritic cells upon maturation using interferometric deformability cytometry. This method characterizes different cellular mechanical properties, such as elongation and nucleus offset, by assessing the refractive index spatial distribution of shear-induced deformed cells. By using these parameters, our data suggest that in vitro bone marrow derived dendritic cell (BMDC) maturation induces cell stiffening and reduces nucleus mobility, allowing to distinguish immature and mature dendritic cells. Overall, our method provides insights on intracellular mechanical properties of two dendritic cell states.
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49
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Zundler S, Schulze LL, Neurath MF. Controlling in and out - the future of interfering with immune cell trafficking in inflammatory bowel disease. Expert Rev Clin Immunol 2023; 19:155-167. [PMID: 36427088 DOI: 10.1080/1744666x.2023.2152794] [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: 11/27/2022]
Abstract
INTRODUCTION Immune cell trafficking is a key requirement in the pathogenesis of inflammatory bowel diseases. Consistently, therapeutic strategies to target immune cell trafficking have been established and continue to be developed for the treatment of ulcerative colitis and Crohn's disease. AREAS COVERED In this review, we briefly summarize the most important checkpoints of intestinal immune cell trafficking and their importance during IBD. Moreover, we provide an overview of associated therapeutic targets and previous as well as current efforts on treatment strategies related to these targets. EXPERT OPINION Finally, we comment on potential future developments that might shape the field of immune cell trafficking in the context of IBD.
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Affiliation(s)
- Sebastian Zundler
- Department of Medicine 1 and Deutsches Zentrum Immuntherapie, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Lisa Lou Schulze
- Department of Medicine 1 and Deutsches Zentrum Immuntherapie, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Markus F Neurath
- Department of Medicine 1 and Deutsches Zentrum Immuntherapie, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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50
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Stachiv I, Kuo CY, Li W. Protein adsorption by nanomechanical mass spectrometry: Beyond the real-time molecular weighting. Front Mol Biosci 2023; 9:1058441. [PMID: 36685281 PMCID: PMC9849248 DOI: 10.3389/fmolb.2022.1058441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/14/2022] [Indexed: 01/06/2023] Open
Abstract
During past decades, enormous progress in understanding the mechanisms of the intermolecular interactions between the protein and surface at the single-molecule level has been achieved. These advances could only be possible by the ongoing development of highly sophisticated experimental methods such as atomic force microscopy, optical microscopy, surface plasmon resonance, ellipsometry, quartz crystal microbalance, conventional mass spectrometry, and, more recently, the nanomechanical systems. Here, we highlight the main findings of recent studies on the label-free single-molecule (protein) detection by nanomechanical systems including those focusing on the protein adsorption on various substrate surfaces. Since the nanomechanical techniques are capable of detecting and manipulating proteins even at the single-molecule level, therefore, they are expected to open a new way of studying the dynamics of protein functions. It is noteworthy that, in contrast to other experimental methods, where only given protein properties like molecular weight or protein stiffness can be determined, the nanomechanical systems enable a real-time measurement of the multiple protein properties (e.g., mass, stiffness, and/or generated surface stress), making them suitable for the study of protein adsorption mechanisms. Moreover, we also discuss the possible future trends in label-free detection and analysis of dynamics of protein complexes with these nanomechanical systems.
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Affiliation(s)
- Ivo Stachiv
- Department of Functional Materials, Institute of Physics, Czech Academy of Sciences, Prague, Czechia,*Correspondence: Ivo Stachiv,
| | - Chih-Yun Kuo
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Prague, Czechia
| | - Wei Li
- Department of Functional Materials, Institute of Physics, Czech Academy of Sciences, Prague, Czechia
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