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Pratt SJP, Plunkett CM, Kuzu G, Trinh T, Barbara J, Choconta P, Quackenbush D, Huynh T, Smith A, Barnes SW, New J, Pierce J, Walker JR, Mainquist J, King FJ, Elliott J, Hammack S, Decker RS. A high throughput cell stretch device for investigating mechanobiology in vitro. APL Bioeng 2024; 8:026129. [PMID: 38938688 PMCID: PMC11210978 DOI: 10.1063/5.0206852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024] Open
Abstract
Mechanobiology is a rapidly advancing field, with growing evidence that mechanical signaling plays key roles in health and disease. To accelerate mechanobiology-based drug discovery, novel in vitro systems are needed that enable mechanical perturbation of cells in a format amenable to high throughput screening. Here, both a mechanical stretch device and 192-well silicone flexible linear stretch plate were designed and fabricated to meet high throughput technology needs for cell stretch-based applications. To demonstrate the utility of the stretch plate in automation and screening, cell dispensing, liquid handling, high content imaging, and high throughput sequencing platforms were employed. Using this system, an assay was developed as a biological validation and proof-of-concept readout for screening. A mechano-transcriptional stretch response was characterized using focused gene expression profiling measured by RNA-mediated oligonucleotide Annealing, Selection, and Ligation with Next-Gen sequencing. Using articular chondrocytes, a gene expression signature containing stretch responsive genes relevant to cartilage homeostasis and disease was identified. The possibility for integration of other stretch sensitive cell types (e.g., cardiovascular, airway, bladder, gut, and musculoskeletal), in combination with alternative phenotypic readouts (e.g., protein expression, proliferation, or spatial alignment), broadens the scope of high throughput stretch and allows for wider adoption by the research community. This high throughput mechanical stress device fills an unmet need in phenotypic screening technology to support drug discovery in mechanobiology-based disease areas.
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Affiliation(s)
- Stephen J. P. Pratt
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | | | - Guray Kuzu
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Ton Trinh
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Joshua Barbara
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Paula Choconta
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Doug Quackenbush
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Truc Huynh
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Anders Smith
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - S. Whitney Barnes
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Joel New
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - James Pierce
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - John R. Walker
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - James Mainquist
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Frederick J. King
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Jimmy Elliott
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Scott Hammack
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
| | - Rebekah S. Decker
- Novartis, Biomedical Research 10675 John Jay Hopkins Dr, San Diego, California 92121, USA
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In vitro cell stretching devices and their applications: From cardiomyogenic differentiation to tissue engineering. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2023. [DOI: 10.1016/j.medntd.2023.100220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023] Open
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Li Z, Muench G, Goebel S, Uhland K, Wenhart C, Reimann A. Flow chamber staining modality for real-time inspection of dynamic phenotypes in multiple histological stains. PLoS One 2023; 18:e0284444. [PMID: 37141296 PMCID: PMC10159194 DOI: 10.1371/journal.pone.0284444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Traditional histological stains, such as hematoxylin-eosin (HE), special stains, and immunofluorescence (IF), have defined myriads of cellular phenotypes and tissue structures in a separate stained section. However, the precise connection of information conveyed by the various stains in the same section, which may be important for diagnosis, is absent. Here, we present a new staining modality-Flow chamber stain, which complies with the current staining workflow but possesses newly additional features non-seen in conventional stains, allowing for (1) quickly switching staining modes between destain and restain for multiplex staining in one single section from routinely histological preparation, (2) real-time inspecting and digitally capturing each specific stained phenotype, and (3) efficiently synthesizing graphs containing the tissue multiple-stained components at site-specific regions. Comparisons of its stains with those by the conventional staining fashions using the microscopic images of mouse tissues (lung, heart, liver, kidney, esophagus, and brain), involving stains of HE, Periodic acid-Schiff, Sirius red, and IF for Human IgG, and mouse CD45, hemoglobin, and CD31, showed no major discordance. Repetitive experiments testing on targeted areas of stained sections confirmed the method is reliable with accuracy and high reproducibility. Using the technique, the targets of IF were easily localized and seen structurally in HE- or special-stained sections, and the unknown or suspected components or structures in HE-stained sections were further determined in histological special stains or IF. By the technique, staining processing was videoed and made a backup for off-site pathologists, which facilitates tele-consultation or -education in current digital pathology. Mistakes, which might occur during the staining process, can be immediately found and amended accordingly. With the technique, a single section can provide much more information than the traditional stained counterpart. The staining mode bears great potential to become a common supplementary tool for traditional histopathology.
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Miran W, Huang W, Long X, Imamura G, Okamoto A. Multivariate landscapes constructed by Bayesian estimation over five hundred microbial electrochemical time profiles. PATTERNS (NEW YORK, N.Y.) 2022; 3:100610. [PMID: 36419444 PMCID: PMC9676538 DOI: 10.1016/j.patter.2022.100610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/24/2022] [Accepted: 09/21/2022] [Indexed: 11/07/2022]
Abstract
Data science emerges as a promising approach for studying and optimizing complex multivariable phenomena, such as the interaction between microorganisms and electrodes. However, there have been limited reports on a bioelectrochemical system that can produce a reliable database until date. Herein, we developed a high-throughput platform with low deviation to apply two-dimensional (2D) Bayesian estimation for electrode potential and redox-active additive concentration to optimize microbial current production (I c ). A 96-channel potentiostat represents <10% SD for maximum I c . 576 time-I c profiles were obtained in 120 different electrolyte and potentiostatic conditions with two model electrogenic bacteria, Shewanella and Geobacter. Acquisition functions showed the highest performance per concentration for riboflavin over a wide potential range in Shewanella. The underlying mechanism was validated by electrochemical analysis with mutant strains lacking outer-membrane redox enzymes. We anticipate that the combination of data science and high-throughput electrochemistry will greatly accelerate a breakthrough for bioelectrochemical technologies.
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Affiliation(s)
- Waheed Miran
- International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
- School of Chemical and Materials Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan
| | - Wenyuan Huang
- International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Xizi Long
- International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
| | - Gaku Imamura
- International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
- Graduate School of Information Science and Technology, Osaka University, 1-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Akihiro Okamoto
- International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
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Hodgkinson T, Amado IN, O'Brien FJ, Kennedy OD. The role of mechanobiology in bone and cartilage model systems in characterizing initiation and progression of osteoarthritis. APL Bioeng 2022. [DOI: 10.1063/5.0068277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Tom Hodgkinson
- Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Isabel N. Amado
- Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Fergal J. O'Brien
- Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
- Advanced Materials Bio-Engineering Research Centre (AMBER), Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
| | - Oran D. Kennedy
- Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
- Advanced Materials Bio-Engineering Research Centre (AMBER), Dublin, Ireland
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
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Abstract
Mechanosensation is the ability to detect dynamic mechanical stimuli (e.g., pressure, stretch, and shear stress) and is essential for a wide variety of processes, including our sense of touch on the skin. How touch is detected and transduced at the molecular level has proved to be one of the great mysteries of sensory biology. A major breakthrough occurred in 2010 with the discovery of a family of mechanically gated ion channels that were coined PIEZOs. The last 10 years of investigation have provided a wealth of information about the functional roles and mechanisms of these molecules. Here we focus on PIEZO2, one of the two PIEZO proteins found in humans and other mammals. We review how work at the molecular, cellular, and systems levels over the past decade has transformed our understanding of touch and led to unexpected insights into other types of mechanosensation beyond the skin.
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Affiliation(s)
- Marcin Szczot
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland 20892, USA; .,Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, 583 30 Linköping, Sweden
| | - Alec R Nickolls
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Ruby M Lam
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland 20892, USA; .,NIH-Brown University Graduate Program in Neuroscience, Providence, Rhode Island 02912, USA
| | - Alexander T Chesler
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland 20892, USA; .,National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892, USA
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Bang S, Lee S, Choi N, Kim HN. Emerging Brain-Pathophysiology-Mimetic Platforms for Studying Neurodegenerative Diseases: Brain Organoids and Brains-on-a-Chip. Adv Healthc Mater 2021; 10:e2002119. [PMID: 34028201 DOI: 10.1002/adhm.202002119] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/25/2021] [Indexed: 12/13/2022]
Abstract
Neurodegenerative diseases are a group of disorders characterized by progressive degeneration of the structural and functional integrity of the central and peripheral nervous systems. Millions of people suffer from degenerative brain diseases worldwide, and the mortality continues to increase every year, causing a growing demand for knowledge of the underlying mechanisms and development of therapeutic targets. Conventional 2D-based cell culture platforms and animal models cannot fully recapitulate the pathophysiology, and this has limited the capability for estimating drug efficacy. Recently, engineered platforms, including brain organoids and brain-on-a-chip, have emerged. They mimic the physiology of brain tissue and reflect the fundamental pathophysiological signatures of neurodegenerative diseases, such as the accumulation of neurotoxic proteins, structural abnormalities, and functional loss. In this paper, recent advances in brain-mimetic platforms and their potential for modeling features of neurodegenerative diseases in vitro are reviewed. The development of a physiologically relevant model should help overcome unresolved neurodegenerative diseases.
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Affiliation(s)
- Seokyoung Bang
- Brain Science Institute Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea
| | - Songhyun Lee
- Department of Medical Engineering Yonsei University College of Medicine Seoul 03722 Republic of Korea
| | - Nakwon Choi
- Brain Science Institute Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea
- KU‐KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea
| | - Hong Nam Kim
- Brain Science Institute Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea
- Division of Bio‐Medical Science & Technology KIST School Korea University of Science and Technology (UST) Seoul 02792 Republic of Korea
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Gordon E, Schimmel L, Frye M. The Importance of Mechanical Forces for in vitro Endothelial Cell Biology. Front Physiol 2020; 11:684. [PMID: 32625119 PMCID: PMC7314997 DOI: 10.3389/fphys.2020.00684] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 05/26/2020] [Indexed: 12/12/2022] Open
Abstract
Blood and lymphatic vessels are lined by endothelial cells which constantly interact with their luminal and abluminal extracellular environments. These interactions confer physical forces on the endothelium, such as shear stress, stretch and stiffness, to mediate biological responses. These physical forces are often altered during disease, driving abnormal endothelial cell behavior and pathology. Therefore, it is critical that we understand the mechanisms by which endothelial cells respond to physical forces. Traditionally, endothelial cells in culture are grown in the absence of flow on stiff substrates such as plastic or glass. These cells are not subjected to the physical forces that endothelial cells endure in vivo, thus the results of these experiments often do not mimic those observed in the body. The field of vascular biology now realize that an intricate analysis of endothelial signaling mechanisms requires complex in vitro systems to mimic in vivo conditions. Here, we will review what is known about the mechanical forces that guide endothelial cell behavior and then discuss the advancements in endothelial cell culture models designed to better mimic the in vivo vascular microenvironment. A wider application of these technologies will provide more biologically relevant information from cultured cells which will be reproducible to conditions found in the body.
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Affiliation(s)
- Emma Gordon
- Division of Cell and Developmental Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Lilian Schimmel
- Division of Cell and Developmental Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Maike Frye
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Multi-well plate cell contraction assay detects negatively correlated cellular responses to pharmacological inhibitors in contractility and migration. Biochem Biophys Res Commun 2020; 521:527-532. [DOI: 10.1016/j.bbrc.2019.10.160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 10/22/2019] [Indexed: 12/28/2022]
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Kriesi C, Steinert M, Marmaras A, Danzer C, Meskenaite V, Kurtcuoglu V. Integrated Flow Chamber System for Live Cell Microscopy. Front Bioeng Biotechnol 2019; 7:91. [PMID: 31119129 PMCID: PMC6504681 DOI: 10.3389/fbioe.2019.00091] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 04/12/2019] [Indexed: 11/13/2022] Open
Abstract
In vitro quantification of the effect of mechanical loads on cells by live microscopy requires precise control of load and culture environment. Corresponding systems are often bulky, their setup and maintenance are time consuming, or the cell yield is low. Here, we show the design and initial testing of a new cell culture system that fits on standard light microscope stages. Based on the parallel plate principle, the system allows for live microscopy of cells exposed to flow-induced shear stress, features short setup time and requires little user interaction. An integrated feedback-controlled heater and a bubble trap enable long observation times. The key design feature is the possibility for quick exchange of the cultured cells. We present first test results that focus on verifying the robustness, biocompatibility, and ease of use of the device.
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Affiliation(s)
- Carlo Kriesi
- TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway
| | - Martin Steinert
- TrollLABS, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anastasios Marmaras
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Claudia Danzer
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Virginia Meskenaite
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Vartan Kurtcuoglu
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
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