1
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024; 13:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [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: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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2
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Huang Y, Liu T, Huang Q, Wang Y. From Organ-on-a-Chip to Human-on-a-Chip: A Review of Research Progress and Latest Applications. ACS Sens 2024; 9:3466-3488. [PMID: 38991227 DOI: 10.1021/acssensors.4c00004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Organ-on-a-Chip (OOC) technology, which emulates the physiological environment and functionality of human organs on a microfluidic chip, is undergoing significant technological advancements. Despite its rapid evolution, this technology is also facing notable challenges, such as the lack of vascularization, the development of multiorgan-on-a-chip systems, and the replication of the human body on a single chip. The progress of microfluidic technology has played a crucial role in steering OOC toward mimicking the human microenvironment, including vascularization, microenvironment replication, and the development of multiorgan microphysiological systems. Additionally, advancements in detection, analysis, and organoid imaging technologies have enhanced the functionality and efficiency of Organs-on-Chips (OOCs). In particular, the integration of artificial intelligence has revolutionized organoid imaging, significantly enhancing high-throughput drug screening. Consequently, this review covers the research progress of OOC toward Human-on-a-chip, the integration of sensors in OOCs, and the latest applications of organoid imaging technologies in the biomedical field.
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Affiliation(s)
- Yisha Huang
- Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, Sichuan 610212, China
| | - Tong Liu
- Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qi Huang
- School of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Yuxi Wang
- Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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3
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Eltanameli B, Piñeiro-Llanes J, Cristofoletti R. Recent advances in cell-based in vitro models for predicting drug permeability across brain, intestinal, and pulmonary barriers. Expert Opin Drug Metab Toxicol 2024; 20:439-458. [PMID: 38850058 DOI: 10.1080/17425255.2024.2366390] [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: 02/26/2024] [Accepted: 06/06/2024] [Indexed: 06/09/2024]
Abstract
INTRODUCTION Recent years have witnessed remarkable progress in the development of cell-based in vitro models aimed at predicting drug permeability, particularly focusing on replicating the barrier properties of the blood-brain barrier (BBB), intestinal epithelium, and lung epithelium. AREA COVERED This review provides an overview of 2D in vitro platforms, including monocultures and co-culture systems, highlighting their respective advantages and limitations. Additionally, it discusses tools and techniques utilized to overcome these limitations, paving the way for more accurate predictions of drug permeability. Furthermore, this review delves into emerging technologies, particularly microphysiological systems (MPS), encompassing static platforms such as organoids and dynamic platforms like microfluidic devices. Literature searches were performed using PubMed and Google Scholar. We focus on key terms such as in vitro permeability models, MPS, organoids, intestine, BBB, and lungs. EXPERT OPINION The potential of these MPS to mimic physiological conditions more closely offers promising avenues for drug permeability assessment. However, transitioning these advanced models from bench to industry requires rigorous validation against regulatory standards. Thus, there is a pressing need to validate MPS to industry and regulatory agency standards to exploit their potential in drug permeability prediction fully. This review underscores the importance of such validation processes to facilitate the translation of these innovative technologies into routine pharmaceutical practice.
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Affiliation(s)
- Bassma Eltanameli
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
- Department of Pharmaceutics, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt
| | - Janny Piñeiro-Llanes
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
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4
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Cong J, Wu J, Fang Y, Wang J, Kong X, Wang L, Duan Z. Application of organoid technology in the human health risk assessment of microplastics: A review of progresses and challenges. ENVIRONMENT INTERNATIONAL 2024; 188:108744. [PMID: 38761429 DOI: 10.1016/j.envint.2024.108744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/16/2024] [Accepted: 05/10/2024] [Indexed: 05/20/2024]
Abstract
Microplastic (MP) pollution has become a global environmental issue, and increasing concern has been raised about its impact on human health. Current studies on the toxic effects and mechanisms of MPs have mostly been conducted in animal models or in vitro cell cultures, which have limitations regarding inter-species differences or stimulation of cellular functions. Organoid technology derived from human pluripotent or adult stem cells has broader prospects for predicting the potential health risks of MPs to humans. Herein, we reviewed the current application advancements and opportunities for different organoids, including brain, retinal, intestinal, liver, and lung organoids, to assess the human health risks of MPs. Organoid techniques accurately simulate the complex processes of MPs and reflect phenotypes related to diseases caused by MPs such as liver fibrosis, neurodegeneration, impaired intestinal barrier and cardiac hypertrophy. Future perspectives were also proposed for technological innovation in human risk assessment of MPs using organoids, including extending the lifespan of organoids to assess the chronic toxicity of MPs, and reconstructing multi-organ interactions to explore their potential in studying the microbiome-gut-brainaxis effect of MPs.
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Affiliation(s)
- Jiaoyue Cong
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Jin Wu
- Tianjin Institute of Environment and Operational Medicine, Tianjin 300050, China
| | - Yanjun Fang
- Tianjin Institute of Environment and Operational Medicine, Tianjin 300050, China
| | - Jing Wang
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Xiaoyan Kong
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Lei Wang
- College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
| | - Zhenghua Duan
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China.
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5
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Maharjan S, Ma C, Singh B, Kang H, Orive G, Yao J, Shrike Zhang Y. Advanced 3D imaging and organoid bioprinting for biomedical research and therapeutic applications. Adv Drug Deliv Rev 2024; 208:115237. [PMID: 38447931 PMCID: PMC11031334 DOI: 10.1016/j.addr.2024.115237] [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: 11/08/2023] [Revised: 01/15/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
Organoid cultures offer a valuable platform for studying organ-level biology, allowing for a closer mimicry of human physiology compared to traditional two-dimensional cell culture systems or non-primate animal models. While many organoid cultures use cell aggregates or decellularized extracellular matrices as scaffolds, they often lack precise biochemical and biophysical microenvironments. In contrast, three-dimensional (3D) bioprinting allows precise placement of organoids or spheroids, providing enhanced spatial control and facilitating the direct fusion for the formation of large-scale functional tissues in vitro. In addition, 3D bioprinting enables fine tuning of biochemical and biophysical cues to support organoid development and maturation. With advances in the organoid technology and its potential applications across diverse research fields such as cell biology, developmental biology, disease pathology, precision medicine, drug toxicology, and tissue engineering, organoid imaging has become a crucial aspect of physiological and pathological studies. This review highlights the recent advancements in imaging technologies that have significantly contributed to organoid research. Additionally, we discuss various bioprinting techniques, emphasizing their applications in organoid bioprinting. Integrating 3D imaging tools into a bioprinting platform allows real-time visualization while facilitating quality control, optimization, and comprehensive bioprinting assessment. Similarly, combining imaging technologies with organoid bioprinting can provide valuable insights into tissue formation, maturation, functions, and therapeutic responses. This approach not only improves the reproducibility of physiologically relevant tissues but also enhances understanding of complex biological processes. Thus, careful selection of bioprinting modalities, coupled with appropriate imaging techniques, holds the potential to create a versatile platform capable of addressing existing challenges and harnessing opportunities in these rapidly evolving fields.
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Affiliation(s)
- Sushila Maharjan
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA
| | - Chenshuo Ma
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Bibhor Singh
- Winthrop L. Chenery Upper Elementary School, Belmont, MA 02478, USA
| | - Heemin Kang
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea; College of Medicine, Korea University, Seoul 02841, Republic of Korea
| | - Gorka Orive
- NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). Vitoria-Gasteiz, Spain; University Institute for Regenerative Medicine and Oral Implantology - UIRMI (UPV/EHU-Fundación Eduardo Anitua), Vitoria, 01007, Spain; Singapore Eye Research Institute, The Academia, 20 College Road, Discovery Tower, Singapore 169856, Singapore
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
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6
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Lacin ME, Yildirim M. Applications of multiphoton microscopy in imaging cerebral and retinal organoids. Front Neurosci 2024; 18:1360482. [PMID: 38505776 PMCID: PMC10948410 DOI: 10.3389/fnins.2024.1360482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024] Open
Abstract
Cerebral organoids, self-organizing structures with increased cellular diversity and longevity, have addressed shortcomings in mimicking human brain complexity and architecture. However, imaging intact organoids poses challenges due to size, cellular density, and light-scattering properties. Traditional one-photon microscopy faces limitations in resolution and contrast, especially for deep regions. Here, we first discuss the fundamentals of multiphoton microscopy (MPM) as a promising alternative, leveraging non-linear fluorophore excitation and longer wavelengths for improved imaging of live cerebral organoids. Then, we review recent applications of MPM in studying morphogenesis and differentiation, emphasizing its potential for overcoming limitations associated with other imaging techniques. Furthermore, our paper underscores the crucial role of cerebral organoids in providing insights into human-specific neurodevelopmental processes and neurological disorders, addressing the scarcity of human brain tissue for translational neuroscience. Ultimately, we envision using multimodal multiphoton microscopy for longitudinal imaging of intact cerebral organoids, propelling advancements in our understanding of neurodevelopment and related disorders.
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Affiliation(s)
| | - Murat Yildirim
- Department of Neurosciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, United States
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7
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Verrier N, Debailleul M, Haeberlé O. Recent Advances and Current Trends in Transmission Tomographic Diffraction Microscopy. SENSORS (BASEL, SWITZERLAND) 2024; 24:1594. [PMID: 38475130 DOI: 10.3390/s24051594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/21/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
Optical microscopy techniques are among the most used methods in biomedical sample characterization. In their more advanced realization, optical microscopes demonstrate resolution down to the nanometric scale. These methods rely on the use of fluorescent sample labeling in order to break the diffraction limit. However, fluorescent molecules' phototoxicity or photobleaching is not always compatible with the investigated samples. To overcome this limitation, quantitative phase imaging techniques have been proposed. Among these, holographic imaging has demonstrated its ability to image living microscopic samples without staining. However, for a 3D assessment of samples, tomographic acquisitions are needed. Tomographic Diffraction Microscopy (TDM) combines holographic acquisitions with tomographic reconstructions. Relying on a 3D synthetic aperture process, TDM allows for 3D quantitative measurements of the complex refractive index of the investigated sample. Since its initial proposition by Emil Wolf in 1969, the concept of TDM has found a lot of applications and has become one of the hot topics in biomedical imaging. This review focuses on recent achievements in TDM development. Current trends and perspectives of the technique are also discussed.
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Affiliation(s)
- Nicolas Verrier
- Institut Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS UR UHA 7499), Université de Haute-Alsace, IUT Mulhouse, 61 rue Albert Camus, 68093 Mulhouse, France
| | - Matthieu Debailleul
- Institut Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS UR UHA 7499), Université de Haute-Alsace, IUT Mulhouse, 61 rue Albert Camus, 68093 Mulhouse, France
| | - Olivier Haeberlé
- Institut Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS UR UHA 7499), Université de Haute-Alsace, IUT Mulhouse, 61 rue Albert Camus, 68093 Mulhouse, France
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8
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Stüve P, Nerb B, Harrer S, Wuttke M, Feuerer M, Junger H, Eggenhofer E, Lungu B, Laslau S, Ritter U. Analysis of organoid and immune cell co-cultures by machine learning-empowered image cytometry. Front Med (Lausanne) 2024; 10:1274482. [PMID: 38298516 PMCID: PMC10827864 DOI: 10.3389/fmed.2023.1274482] [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: 08/08/2023] [Accepted: 11/24/2023] [Indexed: 02/02/2024] Open
Abstract
Organoids are three-dimensional (3D) structures that can be derived from stem cells or adult tissue progenitor cells and exhibit an extraordinary ability to autonomously organize and resemble the cellular composition and architectural integrity of specific tissue segments. This feature makes them a useful tool for analyzing therapeutical relevant aspects, including organ development, wound healing, immune disorders and drug discovery. Most organoid models do not contain cells that mimic the neighboring tissue’s microenvironment, which could potentially hinder deeper mechanistic studies. However, to use organoid models in mechanistic studies, which would enable us to better understand pathophysiological processes, it is necessary to emulate the in situ microenvironment. This can be accomplished by incorporating selected cells of interest from neighboring tissues into the organoid culture. Nevertheless, the detection and quantification of organoids in such co-cultures remains a major technical challenge. These imaging analysis approaches would require an accurate separation of organoids from the other cell types in the co-culture. To efficiently detect and analyze 3D organoids in co-cultures, we developed a high-throughput imaging analysis platform. This method integrates automated imaging techniques and advanced image processing tools such as grayscale conversion, contrast enhancement, membrane detection and structure separation. Based on machine learning algorithms, we were able to identify and classify 3D organoids within dense co-cultures of immune cells. This procedure allows a high-throughput analysis of organoid-associated parameters such as quantity, size, and shape. Therefore, the technology has significant potential to advance contextualized research using organoid co-cultures and their potential applications in translational medicine.
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Affiliation(s)
- Philipp Stüve
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Benedikt Nerb
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
| | - Selina Harrer
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Marina Wuttke
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Markus Feuerer
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
| | - Henrik Junger
- Department of Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Elke Eggenhofer
- Department of Surgery, University Hospital Regensburg, Regensburg, Germany
| | | | | | - Uwe Ritter
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
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9
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Duivenvoorden AM, Claes BSR, van der Vloet L, Lubbers T, Glunde K, Olde Damink SWM, Heeren RMA, Lenaerts K. Lipidomic Phenotyping Of Human Small Intestinal Organoids Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Anal Chem 2023; 95:18443-18450. [PMID: 38060464 PMCID: PMC10733903 DOI: 10.1021/acs.analchem.3c03543] [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: 08/08/2023] [Revised: 10/29/2023] [Accepted: 11/06/2023] [Indexed: 12/20/2023]
Abstract
In the past decade, interest in organoids for biomedical research has surged, resulting in a higher demand for advanced imaging techniques. Traditional specimen embedding methods pose challenges, such as analyte delocalization and histological assessment. Here, we present an optimized sample preparation approach utilizing an Epredia M-1 cellulose-based embedding matrix, which preserves the structural integrity of fragile small intestinal organoids (SIOs). Additionally, background interference (delocalization of analytes, nonspecific (histological) staining, matrix ion clusters) was minimized, and we demonstrate the compatibility with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). With our approach, we can conduct label-free lipid imaging at the single-cell level, thereby yielding insights into the spatial distribution of lipids in both positive and negative ion modes. Moreover, M-1 embedding allows for an improved coregistration with histological and immunohistochemical (IHC) stainings, including MALDI-IHC, facilitating combined untargeted and targeted spatial information. Applying this approach, we successfully phenotyped crypt-like (CL) and villus-like (VL) SIOs, revealing that PE 36:2 [M - H]- (m/z 742.5) and PI 38:4 [M - H]- (m/z 885.5) display higher abundance in CL organoids, whereas PI 36:1 [M - H]- (m/z 863.6) was more prevalent in VL organoids. Our findings demonstrate the utility of M-1 embedding for advancing organoid research and unraveling intricate biological processes within these in vitro models.
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Affiliation(s)
- Annet
A. M. Duivenvoorden
- Department
of Surgery, NUTRIM School of Nutrition and Translational Research
in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Britt S. R. Claes
- The
Maastricht MultiModal Molecular Imaging (M4i) Institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Laura van der Vloet
- The
Maastricht MultiModal Molecular Imaging (M4i) Institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Tim Lubbers
- Department
of Surgery, Maastricht University Medical
Center+ (MUMC+), 6229 HX Maastricht, The Netherlands
- GROW
– School for Oncology and Developmental Biology, Maastricht University Medical Center+ (MUMC+), 6229 HX Maastricht, The Netherlands
| | - Kristine Glunde
- The
Russell H. Morgan Department of Radiology and Radiological Science,
Division of Cancer Imaging Research, The
Johns Hopkins School of Medicine, Baltimore, Maryland 21205, United States
- The
Sidney
Kimmel Comprehensive Cancer Center, The
Johns Hopkins School of Medicine, Baltimore, Maryland 21205, United States
- Department
of Biological Chemistry, The Johns Hopkins
School of Medicine, Baltimore, Maryland 21205, United States
| | - Steven W. M. Olde Damink
- Department
of Surgery, NUTRIM School of Nutrition and Translational Research
in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department
of Surgery, Maastricht University Medical
Center+ (MUMC+), 6229 HX Maastricht, The Netherlands
- Department
of General, Gastrointestinal, Hepatobiliary and Transplant Surgery, RWTH Aachen University Hospital, 52074 Aachen, Germany
| | - Ron M. A. Heeren
- The
Maastricht MultiModal Molecular Imaging (M4i) Institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Kaatje Lenaerts
- Department
of Surgery, NUTRIM School of Nutrition and Translational Research
in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
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10
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Roberto de Barros N, Wang C, Maity S, Peirsman A, Nasiri R, Herland A, Ermis M, Kawakita S, Gregatti Carvalho B, Hosseinzadeh Kouchehbaghi N, Donizetti Herculano R, Tirpáková Z, Mohammad Hossein Dabiri S, Lucas Tanaka J, Falcone N, Choroomi A, Chen R, Huang S, Zisblatt E, Huang Y, Rashad A, Khorsandi D, Gangrade A, Voskanian L, Zhu Y, Li B, Akbari M, Lee J, Remzi Dokmeci M, Kim HJ, Khademhosseini A. Engineered organoids for biomedical applications. Adv Drug Deliv Rev 2023; 203:115142. [PMID: 37967768 PMCID: PMC10842104 DOI: 10.1016/j.addr.2023.115142] [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: 04/18/2023] [Revised: 10/03/2023] [Accepted: 11/10/2023] [Indexed: 11/17/2023]
Abstract
As miniaturized and simplified stem cell-derived 3D organ-like structures, organoids are rapidly emerging as powerful tools for biomedical applications. With their potential for personalized therapeutic interventions and high-throughput drug screening, organoids have gained significant attention recently. In this review, we discuss the latest developments in engineering organoids and using materials engineering, biochemical modifications, and advanced manufacturing technologies to improve organoid culture and replicate vital anatomical structures and functions of human tissues. We then explore the diverse biomedical applications of organoids, including drug development and disease modeling, and highlight the tools and analytical techniques used to investigate organoids and their microenvironments. We also examine the latest clinical trials and patents related to organoids that show promise for future clinical translation. Finally, we discuss the challenges and future perspectives of using organoids to advance biomedical research and potentially transform personalized medicine.
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Affiliation(s)
| | - Canran Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Surjendu Maity
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Arne Peirsman
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Plastic and Reconstructive Surgery, Ghent University Hospital, Ghent, Belgium
| | - Rohollah Nasiri
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, 17165 Solna, Sweden
| | - Anna Herland
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, 17165 Solna, Sweden
| | - Menekse Ermis
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Satoru Kawakita
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Bruna Gregatti Carvalho
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Material and Bioprocess Engineering, School of Chemical Engineering, University of Campinas (UNICAMP), 13083-970 Campinas, Brazil
| | - Negar Hosseinzadeh Kouchehbaghi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Avenue, 1591634311 Tehran, Iran
| | - Rondinelli Donizetti Herculano
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA; São Paulo State University (UNESP), Bioengineering and Biomaterials Group, School of Pharmaceutical Sciences, Araraquara, SP, Brazil
| | - Zuzana Tirpáková
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Biology and Physiology, University of Veterinary Medicine and Pharmacy in Kosice, Komenskeho 73, 04181 Kosice, Slovakia
| | - Seyed Mohammad Hossein Dabiri
- Laboratory for Innovations in Micro Engineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Jean Lucas Tanaka
- Butantan Institute, Viral Biotechnology Laboratory, São Paulo, SP Brazil; University of São Paulo (USP), São Paulo, SP Brazil
| | - Natashya Falcone
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Auveen Choroomi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - RunRun Chen
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Shuyi Huang
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Elisheva Zisblatt
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Yixuan Huang
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Ahmad Rashad
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Danial Khorsandi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Ankit Gangrade
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Leon Voskanian
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Bingbing Li
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Mohsen Akbari
- Laboratory for Innovations in Micro Engineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Junmin Lee
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Republic of Korea
| | | | - Han-Jun Kim
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; College of Pharmacy, Korea University, Sejong 30019, Republic of Korea.
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA.
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11
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Mao W, Bui HTD, Cho W, Yoo HS. Spectroscopic techniques for monitoring stem cell and organoid proliferation in 3D environments for therapeutic development. Adv Drug Deliv Rev 2023; 201:115074. [PMID: 37619771 DOI: 10.1016/j.addr.2023.115074] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 07/22/2023] [Accepted: 08/20/2023] [Indexed: 08/26/2023]
Abstract
Spectroscopic techniques for monitoring stem cell and organoid proliferation have gained significant attention in therapeutic development. Spectroscopic techniques such as fluorescence, Raman spectroscopy, and infrared spectroscopy offer noninvasive and real-time monitoring of biochemical and biophysical changes that occur during stem cell and organoid proliferation. These techniques provide valuable insight into the underlying mechanisms of action of potential therapeutic agents, allowing for improved drug discovery and screening. This review highlights the importance of spectroscopic monitoring of stem cell and organoid proliferation and its potential impact on therapeutic development. Furthermore, this review discusses recent advances in spectroscopic techniques and their applications in stem cell and organoid research. Overall, this review emphasizes the importance of spectroscopic techniques as valuable tools for studying stem cell and organoid proliferation and their potential to revolutionize therapeutic development in the future.
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Affiliation(s)
- Wei Mao
- Department of Biomedical Materials Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea; Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Hoai-Thuong Duc Bui
- Department of Biomedical Materials Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Wanho Cho
- Department of Biomedical Materials Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Hyuk Sang Yoo
- Department of Biomedical Materials Engineering, Kangwon National University, Chuncheon 24341, Republic of Korea; Institute for Molecular Science and Fusion Technology, Kangwon National University, Chuncheon 24341, Republic of Korea; Institue of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea; Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon 24341, Republic of Korea.
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12
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Camacho-Gomez D, Sorzabal-Bellido I, Ortiz-de-Solorzano C, Garcia-Aznar JM, Gomez-Benito MJ. A hybrid physics-based and data-driven framework for cellular biological systems: Application to the morphogenesis of organoids. iScience 2023; 26:107164. [PMID: 37485358 PMCID: PMC10359941 DOI: 10.1016/j.isci.2023.107164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 03/30/2023] [Accepted: 06/13/2023] [Indexed: 07/25/2023] Open
Abstract
How cells orchestrate their cellular functions remains a crucial question to unravel how they organize in different patterns. We present a framework based on artificial intelligence to advance the understanding of how cell functions are coordinated spatially and temporally in biological systems. It consists of a hybrid physics-based model that integrates both mechanical interactions and cell functions with a data-driven model that regulates the cellular decision-making process through a deep learning algorithm trained on image data metrics. To illustrate our approach, we used data from 3D cultures of murine pancreatic ductal adenocarcinoma cells (PDAC) grown in Matrigel as tumor organoids. Our approach allowed us to find the underlying principles through which cells activate different cell processes to self-organize in different patterns according to the specific microenvironmental conditions. The framework proposed here expands the tools for simulating biological systems at the cellular level, providing a novel perspective to unravel morphogenetic patterns.
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Affiliation(s)
- Daniel Camacho-Gomez
- Department of Mechanical Engineering, Multiscale in Mechanical and Biological Engineering (M2BE), Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | - Ioritz Sorzabal-Bellido
- Solid Tumors and Biomarkers Program, IDISNA, and CIBERONC, Center for Applied Medical Research, University of Navarra, Zaragoza, Spain
| | - Carlos Ortiz-de-Solorzano
- Solid Tumors and Biomarkers Program, IDISNA, and CIBERONC, Center for Applied Medical Research, University of Navarra, Zaragoza, Spain
| | - Jose Manuel Garcia-Aznar
- Department of Mechanical Engineering, Multiscale in Mechanical and Biological Engineering (M2BE), Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | - Maria Jose Gomez-Benito
- Department of Mechanical Engineering, Multiscale in Mechanical and Biological Engineering (M2BE), Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
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13
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Loewa A, Feng JJ, Hedtrich S. Human disease models in drug development. NATURE REVIEWS BIOENGINEERING 2023; 1:1-15. [PMID: 37359774 PMCID: PMC10173243 DOI: 10.1038/s44222-023-00063-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 06/20/2023]
Abstract
Biomedical research is undergoing a paradigm shift towards approaches centred on human disease models owing to the notoriously high failure rates of the current drug development process. Major drivers for this transition are the limitations of animal models, which, despite remaining the gold standard in basic and preclinical research, suffer from interspecies differences and poor prediction of human physiological and pathological conditions. To bridge this translational gap, bioengineered human disease models with high clinical mimicry are being developed. In this Review, we discuss preclinical and clinical studies that benefited from these models, focusing on organoids, bioengineered tissue models and organs-on-chips. Furthermore, we provide a high-level design framework to facilitate clinical translation and accelerate drug development using bioengineered human disease models.
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Affiliation(s)
- Anna Loewa
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - James J. Feng
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC Canada
- Department of Mathematics, University of British Columbia, Vancouver, BC Canada
| | - Sarah Hedtrich
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Center of Biological Design, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC Canada
- Max-Delbrück Center for Molecular Medicine (MCD), Helmholtz Association, Berlin, Germany
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14
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Morishita R, Suzuki T, Mukherjee P, Abd El-Sadek I, Lim Y, Lichtenegger A, Makita S, Tomita K, Yamamoto Y, Nagamoto T, Yasuno Y. Label-free intratissue activity imaging of alveolar organoids with dynamic optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2023; 14:2333-2351. [PMID: 37206117 PMCID: PMC10191660 DOI: 10.1364/boe.488097] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/14/2023] [Accepted: 04/19/2023] [Indexed: 05/21/2023]
Abstract
An organoid is a three-dimensional (3D) in vitro cell culture emulating human organs. We applied 3D dynamic optical coherence tomography (DOCT) to visualize the intratissue and intracellular activities of human induced pluripotent stem cells (hiPSCs)-derived alveolar organoids in normal and fibrosis models. 3D DOCT data were acquired with an 840-nm spectral domain optical coherence tomography with axial and lateral resolutions of 3.8 µm (in tissue) and 4.9 µm, respectively. The DOCT images were obtained by the logarithmic-intensity-variance (LIV) algorithm, which is sensitive to the signal fluctuation magnitude. The LIV images revealed cystic structures surrounded by high-LIV borders and mesh-like structures with low LIV. The former may be alveoli with a highly dynamics epithelium, while the latter may be fibroblasts. The LIV images also demonstrated the abnormal repair of the alveolar epithelium.
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Affiliation(s)
- Rion Morishita
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | - Toshio Suzuki
- Department of Medical Oncology, Faculty of
Medicine,
University of
Tsukuba, Ibaraki 305-8575, Japan
- HiLung Inc.,
Kyoto, Japan
| | - Pradipta Mukherjee
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | - Ibrahim Abd El-Sadek
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
- Department of Physics, Faculty of Science,
Damietta University, New Damietta City
34517, Damietta, Egypt
| | - Yiheng Lim
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | - Antonia Lichtenegger
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
- Center for Medical Physics and Biomedical
Engineering, Medical University of Vienna,
Währinger Gürtel 18-20, 4L, 1090, Vienna, Austria
| | - Shuichi Makita
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | - Kiriko Tomita
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
| | | | | | - Yoshiaki Yasuno
- Computational Optics Group,
University of
Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
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15
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D'Imprima E, Garcia Montero M, Gawrzak S, Ronchi P, Zagoriy I, Schwab Y, Jechlinger M, Mahamid J. Light and electron microscopy continuum-resolution imaging of 3D cell cultures. Dev Cell 2023; 58:616-632.e6. [PMID: 36990090 PMCID: PMC10114294 DOI: 10.1016/j.devcel.2023.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 12/14/2022] [Accepted: 03/02/2023] [Indexed: 03/30/2023]
Abstract
3D cell cultures, in particular organoids, are emerging models in the investigation of healthy or diseased tissues. Understanding the complex cellular sociology in organoids requires integration of imaging modalities across spatial and temporal scales. We present a multi-scale imaging approach that traverses millimeter-scale live-cell light microscopy to nanometer-scale volume electron microscopy by performing 3D cell cultures in a single carrier that is amenable to all imaging steps. This allows for following organoids' growth, probing their morphology with fluorescent markers, identifying areas of interest, and analyzing their 3D ultrastructure. We demonstrate this workflow on mouse and human 3D cultures and use automated image segmentation to annotate and quantitatively analyze subcellular structures in patient-derived colorectal cancer organoids. Our analyses identify local organization of diffraction-limited cell junctions in compact and polarized epithelia. The continuum-resolution imaging pipeline is thus suited to fostering basic and translational organoid research by simultaneously exploiting the advantages of light and electron microscopy.
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Affiliation(s)
- Edoardo D'Imprima
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Marta Garcia Montero
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Sylwia Gawrzak
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Paolo Ronchi
- Electron Microscopy Core Facility, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Ievgeniia Zagoriy
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Yannick Schwab
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany; Electron Microscopy Core Facility, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Martin Jechlinger
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
| | - Julia Mahamid
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany; Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
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16
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Tosca EM, Ronchi D, Facciolo D, Magni P. Replacement, Reduction, and Refinement of Animal Experiments in Anticancer Drug Development: The Contribution of 3D In Vitro Cancer Models in the Drug Efficacy Assessment. Biomedicines 2023; 11:biomedicines11041058. [PMID: 37189676 DOI: 10.3390/biomedicines11041058] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023] Open
Abstract
In the last decades three-dimensional (3D) in vitro cancer models have been proposed as a bridge between bidimensional (2D) cell cultures and in vivo animal models, the gold standards in the preclinical assessment of anticancer drug efficacy. 3D in vitro cancer models can be generated through a multitude of techniques, from both immortalized cancer cell lines and primary patient-derived tumor tissue. Among them, spheroids and organoids represent the most versatile and promising models, as they faithfully recapitulate the complexity and heterogeneity of human cancers. Although their recent applications include drug screening programs and personalized medicine, 3D in vitro cancer models have not yet been established as preclinical tools for studying anticancer drug efficacy and supporting preclinical-to-clinical translation, which remains mainly based on animal experimentation. In this review, we describe the state-of-the-art of 3D in vitro cancer models for the efficacy evaluation of anticancer agents, focusing on their potential contribution to replace, reduce and refine animal experimentations, highlighting their strength and weakness, and discussing possible perspectives to overcome current challenges.
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17
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Ravichandran NK, Hur H, Kim H, Hyun S, Bae JY, Kim DU, Kim IJ, Nam KH, Chang KS, Lee KS. Label-free photothermal optical coherence microscopy to locate desired regions of interest in multiphoton imaging of volumetric specimens. Sci Rep 2023; 13:3625. [PMID: 36869084 PMCID: PMC9984493 DOI: 10.1038/s41598-023-30524-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Biochip-based research is currently evolving into a three-dimensional and large-scale basis similar to the in vivo microenvironment. For the long-term live and high-resolution imaging in these specimens, nonlinear microscopy capable of label-free and multiscale imaging is becoming increasingly important. Combination with non-destructive contrast imaging will be useful for effectively locating regions of interest (ROI) in large specimens and consequently minimizing photodamage. In this study, a label-free photothermal optical coherence microscopy (OCM) serves as a new approach to locate the desired ROI within biological samples which are under investigation by multiphoton microscopy (MPM). The weak photothermal perturbation in sample by the MPM laser with reduced power was detected at the endogenous photothermal particles within the ROI using the highly sensitive phase-differentiated photothermal (PD-PT) OCM. By monitoring the temporal change of the photothermal response signal of the PD-PT OCM, the hotspot generated within the sample focused by the MPM laser was located on the ROI. Combined with automated sample movement in the x-y axis, the focal plane of MPM could be effectively navigated to the desired portion of a volumetric sample for high-resolution targeted MPM imaging. We demonstrated the feasibility of the proposed method in second harmonic generation microscopy using two phantom samples and a biological sample, a fixed insect on microscope slide, with dimensions of 4 mm wide, 4 mm long, and 1 mm thick.
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Affiliation(s)
- Naresh Kumar Ravichandran
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Hwan Hur
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Hyemi Kim
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Sangwon Hyun
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Ji Yong Bae
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Dong Uk Kim
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - I Jong Kim
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Ki-Hwan Nam
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea
| | - Ki Soo Chang
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea.
| | - Kye-Sung Lee
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148 Gwahak-ro Yuseong-gu, Daejeon, 34133, Republic of Korea.
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