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Li Y, Munoz-Mayorga D, Nie Y, Kang N, Tao Y, Lagerwall J, Pernaci C, Curtin G, Coufal NG, Mertens J, Shi L, Chen X. Microglial lipid droplet accumulation in tauopathy brain is regulated by neuronal AMPK. Cell Metab 2024; 36:1351-1370.e8. [PMID: 38657612 PMCID: PMC11153007 DOI: 10.1016/j.cmet.2024.03.014] [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: 06/19/2023] [Revised: 01/25/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024]
Abstract
The accumulation of lipid droplets (LDs) in aging and Alzheimer's disease brains is considered a pathological phenomenon with unresolved cellular and molecular mechanisms. Utilizing stimulated Raman scattering (SRS) microscopy, we observed significant in situ LD accumulation in microglia of tauopathy mouse brains. SRS imaging, combined with deuterium oxide (D2O) labeling, revealed heightened lipogenesis and impaired lipid turnover within LDs in tauopathy fly brains and human neurons derived from induced pluripotent stem cells (iPSCs). Transfer of unsaturated lipids from tauopathy iPSC neurons to microglia induced LD accumulation, oxidative stress, inflammation, and impaired phagocytosis. Neuronal AMP-activated protein kinase (AMPK) inhibits lipogenesis and promotes lipophagy in neurons, thereby reducing lipid flux to microglia. AMPK depletion in prodromal tauopathy mice increased LD accumulation, exacerbated pro-inflammatory microgliosis, and promoted neuropathology. Our findings provide direct evidence of native, aberrant LD accumulation in tauopathy brains and underscore the critical role of AMPK in regulating brain lipid homeostasis.
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Affiliation(s)
- Yajuan Li
- Shu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, San Diego, CA, USA
| | - Daniel Munoz-Mayorga
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Yuhang Nie
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Ningxin Kang
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Yuren Tao
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Jessica Lagerwall
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Carla Pernaci
- Department of Pediatrics, University of California, San Diego, San Diego, CA, USA; Sanford Consortium for Regenerative Medicine, San Diego, CA, USA
| | - Genevieve Curtin
- Department of Pediatrics, University of California, San Diego, San Diego, CA, USA; Sanford Consortium for Regenerative Medicine, San Diego, CA, USA
| | - Nicole G Coufal
- Department of Pediatrics, University of California, San Diego, San Diego, CA, USA; Sanford Consortium for Regenerative Medicine, San Diego, CA, USA
| | - Jerome Mertens
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA
| | - Lingyan Shi
- Shu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, San Diego, CA, USA.
| | - Xu Chen
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA.
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Gottlieb D, Asadipour B, Kostina P, Ung TPL, Stringari C. FLUTE: A Python GUI for interactive phasor analysis of FLIM data. BIOLOGICAL IMAGING 2023; 3:e21. [PMID: 38487690 PMCID: PMC10936343 DOI: 10.1017/s2633903x23000211] [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: 04/20/2023] [Revised: 09/16/2023] [Accepted: 10/25/2023] [Indexed: 03/17/2024]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique used to probe the local environment of fluorophores. The fit-free phasor approach to FLIM data is increasingly being used due to its ease of interpretation. To date, no open-source graphical user interface (GUI) for phasor analysis of FLIM data is available in Python, thus limiting the widespread use of phasor analysis in biomedical research. Here, we present Fluorescence Lifetime Ultimate Explorer (FLUTE), a Python GUI that is designed to fill this gap. FLUTE simplifies and automates many aspects of the analysis of FLIM data acquired in the time domain, such as calibrating the FLIM data, performing interactive exploration of the phasor plot, displaying phasor plots and FLIM images with different lifetime contrasts simultaneously, and calculating the distance from known molecular species. After applying desired filters and thresholds, the final edited datasets can be exported for further user-specific analysis. FLUTE has been tested using several FLIM datasets including autofluorescence of zebrafish embryos and in vitro cells. In summary, our user-friendly GUI extends the advantages of phasor plotting by making the data visualization and analysis easy and interactive, allows for analysis of large FLIM datasets, and accelerates FLIM analysis for non-specialized labs.
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Affiliation(s)
- Dale Gottlieb
- Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Bahar Asadipour
- Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Polina Kostina
- Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Thi Phuong Lien Ung
- Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France
| | - Chiara Stringari
- Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France
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3
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Chen L, Qin G, Liu Y, Li M, Li Y, Guo LZ, Du L, Zheng W, Wu PC, Chuang YH, Wang X, Wang TD, Ho JAA, Liu TM. Label-free optical metabolic imaging of adipose tissues for prediabetes diagnosis. Theranostics 2023; 13:3550-3567. [PMID: 37441598 PMCID: PMC10334843 DOI: 10.7150/thno.82697] [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: 01/16/2023] [Accepted: 05/11/2023] [Indexed: 07/15/2023] Open
Abstract
Rationale: Prediabetes can be reversed through lifestyle intervention, but its main pathologic hallmark, insulin resistance (IR), cannot be detected as conveniently as blood glucose testing. In consequence, the diagnosis of prediabetes is often delayed until patients have hyperglycemia. Therefore, developing a less invasive diagnostic method for rapid IR evaluation will contribute to the prognosis of prediabetes. Adipose tissue is an endocrine organ that plays a crucial role in the development and progression of prediabetes. Label-free visualizing the prediabetic microenvironment of adipose tissues provides a less invasive alternative for the characterization of IR and inflammatory pathology. Methods: Here, we successfully identified the differentiable features of prediabetic adipose tissues by employing the metabolic imaging of three endogenous fluorophores NAD(P)H, FAD, and lipofuscin-like pigments. Results: We discovered that 1040-nm excited lipofuscin-like autofluorescence could mark the location of macrophages. This unique feature helps separate the metabolic fluorescence signals of macrophages from those of adipocytes. In prediabetes fat tissues with IR, we found only adipocytes exhibited a low redox ratio of metabolic fluorescence and high free NAD(P)H fraction a1. This differential signature disappears for mice who quit the high-fat diet or high-fat-high-sucrose diet and recover from IR. When mice have diabetic hyperglycemia and inflamed fat tissues, both adipocytes and macrophages possess this kind of metabolic change. As confirmed with RNA-seq analysis and histopathology evidence, the change in adipocyte's metabolic fluorescence could be an indicator or risk factor of prediabetic IR. Conclusion: Our study provides an innovative approach to diagnosing prediabetes, which sheds light on the strategy for diabetes prevention.
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Affiliation(s)
- Liping Chen
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Guihui Qin
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Yuhong Liu
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China
| | - Moxin Li
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Yue Li
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Lun-Zhang Guo
- Institute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Lidong Du
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Weiming Zheng
- Translational Medicine R&D Center, Zhuhai UM Science and Technology Research Institute, Zhuhai, China
| | - Pei-Chun Wu
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- Department of Biochemical Science & Technology, National Taiwan University, Taipei 10617, Taiwan
| | - Yueh-Hsun Chuang
- Department of Anesthesiology, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan
| | - Xiaoyan Wang
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
| | - Tzung-Dau Wang
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei 10002, Taiwan
| | - Ja-An Annie Ho
- Department of Biochemical Science & Technology, National Taiwan University, Taipei 10617, Taiwan
| | - Tzu-Ming Liu
- Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China
- MOE Frontiers Science Center for Precision Oncology, University of Macau, Macao SAR, China
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Abstract
Over the last half century, the autofluorescence of the metabolic cofactors NADH (reduced nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide) has been quantified in a variety of cell types and disease states. With the spread of nonlinear optical microscopy techniques in biomedical research, NADH and FAD imaging has offered an attractive solution to noninvasively monitor cell and tissue status and elucidate dynamic changes in cell or tissue metabolism. Various tools and methods to measure the temporal, spectral, and spatial properties of NADH and FAD autofluorescence have been developed. Specifically, an optical redox ratio of cofactor fluorescence intensities and NADH fluorescence lifetime parameters have been used in numerous applications, but significant work remains to mature this technology for understanding dynamic changes in metabolism. This article describes the current understanding of our optical sensitivity to different metabolic pathways and highlights current challenges in the field. Recent progress in addressing these challenges and acquiring more quantitative information in faster and more metabolically relevant formats is also discussed.
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Affiliation(s)
- Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, Massachusetts, USA;
- Genetics, Molecular and Cellular Biology Program, Graduate School of Biomedical Sciences, Tufts University, Boston, Massachusetts, USA
| | - Kyle P Quinn
- Department of Biomedical Engineering and the Arkansas Integrative Metabolic Research Center, University of Arkansas, Fayetteville, Arkansas, USA
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Rickard BP, Overchuk M, Chappell VA, Kemal Ruhi M, Sinawang PD, Nguyen Hoang TT, Akin D, Demirci U, Franco W, Fenton SE, Santos JH, Rizvi I. Methods to Evaluate Changes in Mitochondrial Structure and Function in Cancer. Cancers (Basel) 2023; 15:2564. [PMID: 37174030 PMCID: PMC10177605 DOI: 10.3390/cancers15092564] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
Mitochondria are regulators of key cellular processes, including energy production and redox homeostasis. Mitochondrial dysfunction is associated with various human diseases, including cancer. Importantly, both structural and functional changes can alter mitochondrial function. Morphologic and quantifiable changes in mitochondria can affect their function and contribute to disease. Structural mitochondrial changes include alterations in cristae morphology, mitochondrial DNA integrity and quantity, and dynamics, such as fission and fusion. Functional parameters related to mitochondrial biology include the production of reactive oxygen species, bioenergetic capacity, calcium retention, and membrane potential. Although these parameters can occur independently of one another, changes in mitochondrial structure and function are often interrelated. Thus, evaluating changes in both mitochondrial structure and function is crucial to understanding the molecular events involved in disease onset and progression. This review focuses on the relationship between alterations in mitochondrial structure and function and cancer, with a particular emphasis on gynecologic malignancies. Selecting methods with tractable parameters may be critical to identifying and targeting mitochondria-related therapeutic options. Methods to measure changes in mitochondrial structure and function, with the associated benefits and limitations, are summarized.
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Affiliation(s)
- Brittany P. Rickard
- Curriculum in Toxicology & Environmental Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Marta Overchuk
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, and North Carolina State University, Raleigh, NC 27695, USA
| | - Vesna A. Chappell
- Mechanistic Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Mustafa Kemal Ruhi
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey
| | - Prima Dewi Sinawang
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Palo Alto, CA 94304, USA
- Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Tina Thuy Nguyen Hoang
- Department of Biomedical Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA
| | - Demir Akin
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Palo Alto, CA 94304, USA
- Center for Cancer Nanotechnology Excellence for Translational Diagnostics (CCNE-TD), School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Utkan Demirci
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, School of Medicine, Palo Alto, CA 94304, USA
| | - Walfre Franco
- Department of Biomedical Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA
| | - Suzanne E. Fenton
- Mechanistic Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Janine H. Santos
- Mechanistic Toxicology Branch, Division of Translational Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Imran Rizvi
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, and North Carolina State University, Raleigh, NC 27695, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
- Center for Environmental Health and Susceptibility, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Liu Z, Hui Mingalone CK, Gnanatheepam E, Hollander JM, Zhang Y, Meng J, Zeng L, Georgakoudi I. Label-free, multi-parametric assessments of cell metabolism and matrix remodeling within human and early-stage murine osteoarthritic articular cartilage. Commun Biol 2023; 6:405. [PMID: 37055483 PMCID: PMC10102009 DOI: 10.1038/s42003-023-04738-w] [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: 11/06/2021] [Accepted: 03/21/2023] [Indexed: 04/15/2023] Open
Abstract
Osteoarthritis (OA) is characterized by the progressive deterioration of articular cartilage, involving complicated cell-matrix interactions. Systematic investigations of dynamic cellular and matrix changes during OA progression are lacking. In this study, we use label-free two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) imaging to assess cellular and extracellular matrix features of murine articular cartilage during several time points at early stages of OA development following destabilization of medial meniscus surgery. We detect significant changes in the organization of collagen fibers and crosslink-associated fluorescence of the superficial zone as early as one week following surgery. Such changes become significant within the deeper transitional and radial zones at later time-points, highlighting the importance of high spatial resolution. Cellular metabolic changes exhibit a highly dynamic behavior, and indicate metabolic reprogramming from enhanced oxidative phosphorylation to enhanced glycolysis or fatty acid oxidation over the ten-week observation period. The optical metabolic and matrix changes detected within this mouse model are consistent with differences identified in excised human cartilage specimens from OA and healthy cartilage specimens. Thus, our studies reveal important cell-matrix interactions at the onset of OA that may enable improved understanding of OA development and identification of new potential treatment targets.
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Affiliation(s)
- Zhiyi Liu
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering; International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, Zhejiang, 310027, China
- Intelligent Optics & Photonics Research Center, Jiaxing Research Institute, Zhejiang University, Jiaxing, Zhejiang, 314000, China
| | - Carrie K Hui Mingalone
- Program in Cell, Molecular, and Developmental Biology, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
| | | | - Judith M Hollander
- Program in Cell, Molecular, and Developmental Biology, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
| | - Yang Zhang
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Jia Meng
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China
| | - Li Zeng
- Program in Cell, Molecular, and Developmental Biology, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
- Department of Immunology, Tufts University School of Medicine, Boston, MA, 02111, USA
- Department of Orthopaedics, Tufts Medical Center, Boston, MA, 02111, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
- Program in Cell, Molecular, and Developmental Biology, Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA.
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Yang M, Mahanty A, Jin C, Wong ANN, Yoo JS. Label-free metabolic imaging for sensitive and robust monitoring of anti-CD47 immunotherapy response in triple-negative breast cancer. J Immunother Cancer 2022; 10:jitc-2022-005199. [PMID: 36096527 PMCID: PMC9472253 DOI: 10.1136/jitc-2022-005199] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2022] [Indexed: 11/22/2022] Open
Abstract
Background Immunotherapy is revolutionizing cancer treatment from conventional radiotherapies and chemotherapies to immune checkpoint inhibitors which use patients’ immune system to recognize and attack cancer cells. Despite the huge clinical success and vigorous development of immunotherapies, there is a significant unmet need for a robust tool to identify responders to specific immunotherapy. Early and accurate monitoring of immunotherapy response is indispensable for personalized treatment and effective drug development. Methods We established a label-free metabolic intravital imaging (LMII) technique to detect two-photon excited autofluorescence signals from two coenzymes, NAD(P)H (reduced nicotinamide adenine dinucleotide (phosphate) hydrogen) and FAD (flavin adenine dinucleotide) as robust imaging markers to monitor metabolic responses to immunotherapy. Murine models of triple-negative breast cancer (TNBC) were established and tested with different therapeutic regimens including anti-cluster of differentiation 47 (CD47) immunotherapy to monitor time-course treatment responses using the developed metabolic imaging technique. Results We first imaged the mechanisms of the CD47-signal regulatory protein alpha pathway in vivo, which unravels macrophage-mediated antibody-dependent cellular phagocytosis and illustrates the metabolism of TNBC cells and macrophages. We further visualized the autofluorescence of NAD(P)H and FAD and found a significant increase during tumor growth. Following anti-CD47 immunotherapy, the imaging signal was dramatically decreased demonstrating the sensitive monitoring capability of NAD(P)H and FAD imaging for therapeutic response. NAD(P)H and FAD intravital imaging also showed a marked decrease after chemotherapy and radiotherapy. A comparative study with conventional whole-body bioluminescence and fluorescent glucose imaging demonstrated superior sensitivity of metabolic imaging. Flow cytometry validated metabolic imaging results. In vivo immunofluorescent staining revealed the targeting ability of NAD(P)H imaging mainly for tumor cells and a small portion of immune-active cells and that of FAD imaging mainly for immunosuppressive cells such as M2-like tumor-associated macrophages. Conclusions Collectively, this study showcases the potential of the LMII technique as a powerful tool to visualize dynamic changes of heterogeneous cell metabolism of cancer cells and immune infiltrates in response to immunotherapy thus providing sensitive and complete monitoring. Leveraged on ability to differentiate cancer cells and immunosuppressive macrophages, the presented imaging approach provides particularly useful imaging biomarkers for emerged innate immune checkpoint inhibitors such as anti-CD47 therapy.
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Affiliation(s)
- Minfeng Yang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Arpan Mahanty
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Chunjing Jin
- The Affiliated Chuzhou Hospital of Anhui Medical University, The First People's Hospital of Chuzhou, Chuzhou, China
| | - Alex Ngai Nick Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Jung Sun Yoo
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
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8
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Xie S, Xu B, Tang R, Chen S, Lei C, Nie Z. Kinetics Accelerated CRISPR-Cas12a Enabling Live-Cell Monitoring of Mn 2+ Homeostasis. Anal Chem 2022; 94:10159-10167. [PMID: 35786883 DOI: 10.1021/acs.analchem.2c01461] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The CRISPR/Cas12a system has been repurposed as a versatile nuclei acid bio-imaging tool, but its utility in sensing non-nucleic acid analytes in living cells has been less exploited. Herein, we demonstrated the ability of Mn2+ to accelerate cleavage kinetics of Cas12a and deployed for live-cell Mn2+ sensing by leveraging the accelerated trans-cleavage for signal reporting. In this work, we found that Mn2+ could significantly boost both the cis-cleavage and trans-cleavage activities of Cas12a. On the basis of this phenomenon, we harnessed CRISPR-Cas12a as a direct sensing system for Mn2+, which achieved robust Mn2+ detection in the concentration range of 0.5-700 μM within 15 min in complex biological samples. Furthermore, we also demonstrated the versatility of this system to sense Mn2+ in the cytoplasm of living cells. With the usage of a conditional guide RNA, this Cas12a-based sensing method was applied to study the cytotoxicity of Mn2+ in living nerve cells, offering a valuable tool to reveal the cellular response of nerve cells to Mn2+ disorder and homeostasis.
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Affiliation(s)
- Shiyi Xie
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
| | - Benfeng Xu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
| | - Rui Tang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
| | - Siyu Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
| | - Chunyang Lei
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
| | - Zhou Nie
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, People's Republic of China
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9
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Hristu R, Eftimie LG, Stanciu SG, Glogojeanu RR, Gheorghita P, Stanciu GA. Assessment of Extramammary Paget Disease by Two-Photon Microscopy. Front Med (Lausanne) 2022; 9:839786. [PMID: 35280872 PMCID: PMC8913931 DOI: 10.3389/fmed.2022.839786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/24/2022] [Indexed: 12/29/2022] Open
Abstract
Two-photon microscopy techniques are non-linear optical imaging methods which are gaining momentum in the investigation of fixed tissue sections, fresh tissue or even for in vivo experiments. Two-photon excited fluorescence and second harmonic generation are two non-linear optical contrast mechanisms which can be simultaneously used for offering complementary information on the tissue architecture. While the former can originate from endogenous autofluorescence sources (e.g., NADH, FAD, elastin, keratin, lipofuscins, or melanin), or exogenous eosin, the latter is generated in fibrillar structures within living organisms (e.g., collagen and myosin). Here we test the ability of both these contrast mechanisms to highlight features of the extramammary Paget disease on fixed tissue sections prepared for standard histological examination using immunohistochemical markers and hematoxylin and eosin staining. We also demonstrate the label-free abilities of both imaging techniques to highlight histological features on unstained fixed tissue sections. The study demonstrated that two-photon microscopy can detect specific cellular features of the extramammary Paget disease in good correlation with histopathological results.
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Affiliation(s)
- Radu Hristu
- Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, Romania
| | - Lucian G. Eftimie
- Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, Romania
- Pathology Department, Central University Emergency Military Hospital, Bucharest, Romania
| | - Stefan G. Stanciu
- Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, Romania
| | - Remus R. Glogojeanu
- Department of Special Motricity and Medical Recovery, The National University of Physical Education and Sports, Bucharest, Romania
| | - Pavel Gheorghita
- Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, Romania
- Faculty of Energetics, University Politehnica of Bucharest, Bucharest, Romania
| | - George A. Stanciu
- Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, Romania
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10
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Schilling K, Brown E, Zhang X. NAD(P)H autofluorescence lifetime imaging enables single cell analyses of cellular metabolism of osteoblasts in vitro and in vivo via two-photon microscopy. Bone 2022; 154:116257. [PMID: 34781049 PMCID: PMC8671374 DOI: 10.1016/j.bone.2021.116257] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 10/29/2021] [Accepted: 11/09/2021] [Indexed: 01/03/2023]
Abstract
Two-photon fluorescence lifetime microscopy (2P-FLIM) is a non-invasive optical technique that can obtain cellular metabolism information based on the intrinsic autofluorescence lifetimes of free and enzyme-bound NAD(P)H, which reflect the metabolic state of single cells within the native microenvironment of the living tissue. NAD(P)H 2P-FLIM was initially performed in bone marrow stromal cell (BMSC) cultures established from Col (I) 2.3GFP or OSX-mCherry mouse models, in which osteoblastic lineage cells were labelled with green or red fluorescence protein, respectively. Measurement of the mean NAD(P)H lifetime, τM, demonstrated that osteoblasts in osteogenic media had a progressively increased τM compared to cells in regular media, suggesting that osteoblasts undergoing mineralization had higher NAD+/NAD(P)H ratio and may utilize more oxidative phosphorylation (OxPhos). In vivo NAD(P)H 2P-FLIM was conducted in conjunction with two-photon phosphorescence lifetime microscopy (2P-PLIM) to evaluate cellular metabolism of GFP+ osteoblasts as well as bone tissue oxygen at different locations of the native cranial bone in Col (I) 2.3GFP mice. Our data showed that osteocytes dwelling within lacunae had higher τM than osteoblasts at the bone edge of suture and marrow space. Measurement of pO2 showed poor correlation of pO2 and τM in native bone. However, when NAD(P)H 2P-FLIM was used to examine osteoblast cellular metabolism at the leading edge of the cranial defects during repair in Col (I) 2.3GFP mouse model, a significantly lower τM was recorded, which was associated with lower pO2 at an early stage of healing, indicating an impact of hypoxia on energy metabolism during bone tissue repair. Taken together, our current study demonstrates the feasibility of using non-invasive optical NAD(P)H 2P-FLIM technique to examine cellular energy metabolism at single cell resolution in living animals. Our data further support that both glycolysis and OxPhos are being used in the osteoblasts, with more mature osteoblasts exhibiting higher ratio of NAD+/NAD(P)H, indicating a potential change of energy mode during differentiation. Further experiments utilizing animals with genetic modification of cellular metabolism could enhance our understanding of energy metabolism in various cell types in living bone microenvironment.
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Affiliation(s)
- Kevin Schilling
- Center for Musculoskeletal Research, University of Rochester, School of Medicine and Dentistry, Rochester, NY 14642, USA; Department of Biomedical Engineering, University of Rochester, Rochester, NY 14642, USA
| | - Edward Brown
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14642, USA
| | - Xinping Zhang
- Center for Musculoskeletal Research, University of Rochester, School of Medicine and Dentistry, Rochester, NY 14642, USA; Department of Biomedical Engineering, University of Rochester, Rochester, NY 14642, USA.
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11
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Zhang K, He K, Xu J, Nie L, Li S, Liu J, Long D, Dai Z, Yang X. Manganese exposure causes movement deficit and changes in the protein profile of the external globus pallidus in Sprague Dawley rats. Toxicol Ind Health 2021; 37:715-726. [PMID: 34706592 DOI: 10.1177/07482337211022223] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Manganese (Mn) is required for normal brain development and function. Excess Mn may trigger a parkinsonian movement disorder but the underlying mechanisms are incompletely understood. We explored changes in the brain proteomic profile and movement behavior of adult Sprague Dawley (SD) rats systemically treated with or without 1.0 mg/mL MnCl2 for 3 months. Mn treatment significantly increased the concentration of protein-bound Mn in the external globus pallidus (GP), as demonstrated by inductively coupled plasma mass spectrometry. Behavioral study showed that Mn treatment induced movement deficits, especially of skilled movement. Proteome analysis by two-dimensional fluorescence difference gel electrophoresis coupled with mass spectrometry revealed 13 differentially expressed proteins in the GP of Mn-treated versus Mn-untreated SD rats. The differentially expressed proteins were mostly involved in glycolysis, metabolic pathways, and response to hypoxia. Selected pathway class analysis of differentially expressed GP proteins, which included phosphoglycerate mutase 1 (PGAM1), primarily identified enrichment in glycolytic process and innate immune response. In conclusion, perturbation of brain energy production and innate immune response, in which PGAM1 has key roles, may contribute to the movement disorder associated with Mn neurotoxicity.
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Affiliation(s)
- Kaiqin Zhang
- School of Public Health, University of South China, Hunan Hengyang, China.,Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Kaiwu He
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.,School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Jia Xu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Lulin Nie
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shupeng Li
- School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China
| | - Jianjun Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Dingxin Long
- School of Public Health, University of South China, Hunan Hengyang, China
| | - Zhongliang Dai
- The department of Anesthesiology, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, China
| | - Xifei Yang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Discipline of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
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12
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Cleland NRW, Al-Juboori SI, Dobrinskikh E, Bruce KD. Altered substrate metabolism in neurodegenerative disease: new insights from metabolic imaging. J Neuroinflammation 2021; 18:248. [PMID: 34711251 PMCID: PMC8555332 DOI: 10.1186/s12974-021-02305-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/21/2021] [Indexed: 12/13/2022] Open
Abstract
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD), Parkinson's disease (PD) and multiple sclerosis (MS), are relatively common and devastating neurological disorders. For example, there are 6 million individuals living with AD in the United States, a number that is projected to grow to 14 million by the year 2030. Importantly, AD, PD and MS are all characterized by the lack of a true disease-modifying therapy that is able to reverse or halt disease progression. In addition, the existing standard of care for most NDs only addresses the symptoms of the disease. Therefore, alternative strategies that target mechanisms underlying the neuropathogenesis of disease are much needed. Recent studies have indicated that metabolic alterations in neurons and glia are commonly observed in AD, PD and MS and lead to changes in cell function that can either precede or protect against disease onset and progression. Specifically, single-cell RNAseq studies have shown that AD progression is tightly linked to the metabolic phenotype of microglia, the key immune effector cells of the brain. However, these analyses involve removing cells from their native environment and performing measurements in vitro, influencing metabolic status. Therefore, technical approaches that can accurately assess cell-specific metabolism in situ have the potential to be transformative to our understanding of the mechanisms driving AD. Here, we review our current understanding of metabolism in both neurons and glia during homeostasis and disease. We also evaluate recent advances in metabolic imaging, and discuss how emerging modalities, such as fluorescence lifetime imaging microscopy (FLIM) have the potential to determine how metabolic perturbations may drive the progression of NDs. Finally, we propose that the temporal, regional, and cell-specific characterization of brain metabolism afforded by FLIM will be a critical first step in the rational design of metabolism-focused interventions that delay or even prevent NDs.
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Affiliation(s)
- Nicholas R W Cleland
- Endocrinology, Metabolism and Diabetes, Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Saif I Al-Juboori
- Section of Neonatology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Evgenia Dobrinskikh
- Section of Neonatology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, USA
- Division of Pulmonary Sciences and Critical Care, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA
| | - Kimberley D Bruce
- Endocrinology, Metabolism and Diabetes, Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, USA.
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13
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Liu Z, Chiang CY, Nip J, Feng L, Zhang Y, Rocha S, Georgakoudi I. Nicotinamide effects on the metabolism of human fibroblasts and keratinocytes assessed by quantitative, label-free fluorescence imaging. BIOMEDICAL OPTICS EXPRESS 2021; 12:6375-6390. [PMID: 34745743 PMCID: PMC8548000 DOI: 10.1364/boe.432561] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/28/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
Alterations in metabolism are central to the aging process. Therefore, understanding the subcellular functional and structural changes associated with metabolic aging is critical. Current established methods for exploring cell metabolism either require the use of exogenous agents or are destructive to the tissue or cells. Two-photon excited fluorescence (TPEF) imaging has emerged as a method for monitoring subtle metabolic changes non-invasively. In this study, we use TPEF imaging to acquire high-resolution fluorescence images from two coenzymes, NAD(P)H (reduced form of nicotinamide adenine dinucleotide) and FAD (flavin adenine dinucleotide), within human fibroblasts and keratinocytes in response to B3 (a nicotinamide precursor) supplementation and/or UV irradiation, without addition of exogenous labels. In addition, multi-parametric analysis methods are used to extract functional information of cellular metabolism, including cellular redox state, NAD(P)H fluorescence lifetime, and mitochondrial organization. Our results demonstrate that such optical metabolic assessments can serve as sensitive, label-free, non-destructive reporters of known effects of B3 to maintain and in some cases even enhance the respiratory function of mitochondria, while lowering oxidative damage. Thus, TPEF imaging, supported by highly-quantitative analysis, can serve as a tool to understand aging-dependent metabolic changes as well as the effect of actives on human epidermal and dermal cells.
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Affiliation(s)
- Zhiyi Liu
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
- Currently with the State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering; International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, Zhejiang 310027, China
| | | | - John Nip
- Unilever Research and Development, Trumbull, CT 06611, USA
| | - Lin Feng
- Unilever Research and Development, Trumbull, CT 06611, USA
| | - Yang Zhang
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
| | - Sheila Rocha
- Unilever Research and Development, Trumbull, CT 06611, USA
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA
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14
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Tissue Imaging and Quantification Relying on Endogenous Contrast. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 3233:257-288. [PMID: 34053031 DOI: 10.1007/978-981-15-7627-0_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Cell-matrix interactions play an important role in regulating a variety of essential processes in multicellular organisms, and are closely associated with numerous diseases. Modified interactions have major effects upon key features of both cells and extracellular matrix (ECM), and a thorough understanding of changes in these features can lead to critically important insights of diseases as well as the identification of effective therapeutic targets. Here, we summarize recent advances in quantitative, optical imaging of cellular metabolism and ECM spatial organization using endogenous sources of contrast. Specifically, we focus on the two-photon excited fluorescence (TPEF) imaging of autofluorescent cellular coenzymes, NAD(P)H and FAD, for the extraction of metabolic information described by optical biomarkers including cellular redox state, NAD(P)H fluorescence lifetime, and mitochondrial clustering. We show representative applications in assessing adipose tissue function and detecting malignant lesions in human skin, and further demonstrate that a combination of these optical metrics can provide complementary insights into the underlying biological mechanisms. In addition, we review the development of quantitative analysis methods to extract spatial orientation and organization metrics of collagen fibers, a major ECM component, and demonstrate applications of these approaches in two and three dimensions in several diseases, including would healing, osteoarthritis and cancer, as well as assessments of matrix remodeling in hormone-regulated engineered breast tissues. Finally, we summarize this chapter and discuss important research directions that we expect will evolve in the near future.
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15
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Adams WR, Mehl B, Lieser E, Wang M, Patton S, Throckmorton GA, Jenkins JL, Ford JB, Gautam R, Brooker J, Jansen ED, Mahadevan-Jansen A. Multi-modal nonlinear optical and thermal imaging platform for label-free characterization of biological tissue. Sci Rep 2021; 11:8067. [PMID: 33850171 PMCID: PMC8044215 DOI: 10.1038/s41598-021-86774-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/08/2021] [Indexed: 11/09/2022] Open
Abstract
The ability to characterize the combined structural, functional, and thermal properties of biophysically dynamic samples is needed to address critical questions related to tissue structure, physiological dynamics, and disease progression. Towards this, we have developed an imaging platform that enables multiple nonlinear imaging modalities to be combined with thermal imaging on a common sample. Here we demonstrate label-free multimodal imaging of live cells, excised tissues, and live rodent brain models. While potential applications of this technology are wide-ranging, we expect it to be especially useful in addressing biomedical research questions aimed at the biomolecular and biophysical properties of tissue and their physiology.
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Affiliation(s)
- Wilson R Adams
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - Brian Mehl
- Thorlabs Imaging Research, Sterling, VA, USA
| | - Eric Lieser
- Thorlabs Imaging Research, Sterling, VA, USA
| | - Manqing Wang
- College of Bioengineering, Chongqing University, Chongqing, China
| | | | - Graham A Throckmorton
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - J Logan Jenkins
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - Jeremy B Ford
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | - Rekha Gautam
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
| | | | - E Duco Jansen
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Anita Mahadevan-Jansen
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
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16
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Liu YZ, Renteria C, Courtney CD, Ibrahim B, You S, Chaney EJ, Barkalifa R, Iyer RR, Zurauskas M, Tu H, Llano DA, Christian-Hinman CA, Boppart SA. Simultaneous two-photon activation and imaging of neural activity based on spectral-temporal modulation of supercontinuum light. NEUROPHOTONICS 2020; 7:045007. [PMID: 33163545 PMCID: PMC7607614 DOI: 10.1117/1.nph.7.4.045007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 10/14/2020] [Indexed: 05/03/2023]
Abstract
SIGNIFICANCE Recent advances in nonlinear optics in neuroscience have focused on using two ultrafast lasers for activity imaging and optogenetic stimulation. Broadband femtosecond light sources can obviate the need for multiple lasers by spectral separation for chromatically targeted excitation. AIM We present a photonic crystal fiber (PCF)-based supercontinuum source for spectrally resolved two-photon (2P) imaging and excitation of GCaMP6s and C1V1-mCherry, respectively. APPROACH A PCF is pumped using a 20-MHz repetition rate femtosecond laser to generate a supercontinuum of light, which is spectrally separated, compressed, and recombined to image GCaMP6s (930 nm excitation) and stimulate the optogenetic protein, C1V1-mCherry (1060 nm excitation). Galvanometric spiral scanning is employed on a single-cell level for multiphoton excitation and high-speed resonant scanning is employed for imaging of calcium activity. RESULTS Continuous wave lasers were used to verify functionality of optogenetic activation followed by directed 2P excitation. Results from these experiments demonstrate the utility of a supercontinuum light source for simultaneous, single-cell excitation and calcium imaging. CONCLUSIONS A PCF-based supercontinuum light source was employed for simultaneous imaging and excitation of calcium dynamics in brain tissue. Pumped PCFs can serve as powerful light sources for imaging and activation of neural activity, and overcome the limited spectra and space associated with multilaser approaches.
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Affiliation(s)
- Yuan-Zhi Liu
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States
| | - Carlos Renteria
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Bioengineering, Urbana, Illinois, United States
| | - Connor D. Courtney
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Neuroscience Program, Urbana, Illinois, United States
| | - Baher Ibrahim
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
| | - Sixian You
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Computational Science and Engineering, Urbana, Illinois, United States
| | - Eric J. Chaney
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
| | - Ronit Barkalifa
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
| | - Rishyashring R. Iyer
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States
| | - Mantas Zurauskas
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
| | - Haohua Tu
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
| | - Daniel A. Llano
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Neuroscience Program, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Molecular and Integrative Physiology, Urbana, Illinois, United States
| | - Catherine A. Christian-Hinman
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Neuroscience Program, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Molecular and Integrative Physiology, Urbana, Illinois, United States
| | - Stephen A. Boppart
- University of Illinois at Urbana–Champaign, Beckman Institute for Advanced Science and Technology, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Electrical and Computer Engineering, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Department of Bioengineering, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Neuroscience Program, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Computational Science and Engineering, Urbana, Illinois, United States
- University of Illinois at Urbana–Champaign, Carle Illinois College of Medicine, Urbana, Illinois, United States
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17
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Sagar MAK, Cheng KP, Ouellette JN, Williams JC, Watters JJ, Eliceiri KW. Machine Learning Methods for Fluorescence Lifetime Imaging (FLIM) Based Label-Free Detection of Microglia. Front Neurosci 2020; 14:931. [PMID: 33013309 PMCID: PMC7497798 DOI: 10.3389/fnins.2020.00931] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 08/11/2020] [Indexed: 12/22/2022] Open
Abstract
Automated computational analysis techniques utilizing machine learning have been demonstrated to be able to extract more data from different imaging modalities compared to traditional analysis techniques. One new approach is to use machine learning techniques to existing multiphoton imaging modalities to better interpret intrinsically fluorescent cellular signals to characterize different cell types. Fluorescence Lifetime Imaging Microscopy (FLIM) is a high-resolution quantitative imaging tool that can detect metabolic cellular signatures based on the lifetime variations of intrinsically fluorescent metabolic co-factors such as nicotinamide adenine dinucleotide [NAD(P)H]. NAD(P)H lifetime-based discrimination techniques have previously been used to develop metabolic cell signatures for diverse cell types including immune cells such as macrophages. However, FLIM could be even more effective in characterizing cell types if machine learning was used to classify cells by utilizing FLIM parameters for classification. Here, we demonstrate the potential for FLIM-based, label-free NAD(P)H imaging to distinguish different cell types using Artificial Neural Network (ANN)-based machine learning. For our biological use case, we used the challenge of differentiating microglia from other glia cell types in the brain. Microglia are the resident macrophages of the brain and spinal cord and play a critical role in maintaining the neural environment and responding to injury. Microglia are challenging to identify as most fluorescent labeling approaches cross-react with other immune cell types, are often insensitive to activation state, and require the use of multiple specialized antibody labels. Furthermore, the use of these extrinsic antibody labels prevents application in in vivo animal models and possible future clinical adaptations such as neurodegenerative pathologies. With the ANN-based NAD(P)H FLIM analysis approach, we found that microglia in cell culture mixed with other glial cells can be identified with more than 0.9 True Positive Rate (TPR). We also extended our approach to identify microglia in fixed brain tissue with a TPR of 0.79. In both cases the False Discovery Rate was around 30%. This method can be further extended to potentially study and better understand microglia’s role in neurodegenerative disease with improved detection accuracy.
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Affiliation(s)
- Md Abdul Kader Sagar
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.,Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, United States
| | - Kevin P Cheng
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Jonathan N Ouellette
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.,Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, United States
| | - Justin C Williams
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Jyoti J Watters
- Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Kevin W Eliceiri
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.,Laboratory for Optical and Computational Instrumentation, University of Wisconsin-Madison, Madison, WI, United States.,Morgridge Institute for Research, Madison, WI, United States
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18
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Warren EB, Bryan MR, Morcillo P, Hardeman KN, Aschner M, Bowman AB. Manganese-induced Mitochondrial Dysfunction Is Not Detectable at Exposures Below the Acute Cytotoxic Threshold in Neuronal Cell Types. Toxicol Sci 2020; 176:446-459. [PMID: 32492146 PMCID: PMC7416316 DOI: 10.1093/toxsci/kfaa079] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Manganese (Mn) is an essential metal, but excessive exposures have been well-documented to culminate in neurotoxicity. Curiously, the precise mechanisms of Mn neurotoxicity are still unknown. One hypothesis suggests that Mn exerts its toxicity by inhibiting mitochondrial function, which then (if exposure levels are high and long enough) leads to cell death. Here, we used a Huntington's disease cell model with known differential sensitivities to manganese-STHdhQ7/Q7 and STHdhQ111/Q111 cells-to examine the effects of acute Mn exposure on mitochondrial function. We determined toxicity thresholds for each cell line using both changes in cell number and caspase-3/7 activation. We used a range of acute Mn exposures (0-300 µM), both above and below the cytotoxic threshold, to evaluate mitochondria-associated metabolic balance, mitochondrial respiration, and substrate dependence. In both cell lines, we observed no effect on markers of mitochondrial function at subtoxic Mn exposures (below detectable levels of cell death), yet at supratoxic exposures (above detectable levels of cell death) mitochondrial function significantly declined. We validated these findings in primary striatal neurons. In cell lines, we further observed that subtoxic Mn concentrations do not affect glycolytic function or major intracellular metabolite quantities. These data suggest that in this system, Mn exposure impairs mitochondrial function only at concentrations coincident with or above the initiation of cell death and is not consistent with the hypothesis that mitochondrial dysfunction precedes or induces Mn cytotoxicity.
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Affiliation(s)
- Emily B Warren
- Department of Pharmacology, Vanderbilt University, Nashville, Tennessee 37232
| | - Miles R Bryan
- Departments of Pediatrics and Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Department of Biochemistry, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee 37232
| | - Patricia Morcillo
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York 10461
| | - Keisha N Hardeman
- Department of Biochemistry, Vanderbilt University, Nashville, Tennessee 37232
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York 10461
| | - Aaron B Bowman
- Departments of Pediatrics and Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
- Department of Biochemistry, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee 37232
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19
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Datta R, Heaster TM, Sharick JT, Gillette AA, Skala MC. Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-43. [PMID: 32406215 PMCID: PMC7219965 DOI: 10.1117/1.jbo.25.7.071203] [Citation(s) in RCA: 304] [Impact Index Per Article: 76.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/24/2020] [Indexed: 05/18/2023]
Abstract
SIGNIFICANCE Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique to distinguish the unique molecular environment of fluorophores. FLIM measures the time a fluorophore remains in an excited state before emitting a photon, and detects molecular variations of fluorophores that are not apparent with spectral techniques alone. FLIM is sensitive to multiple biomedical processes including disease progression and drug efficacy. AIM We provide an overview of FLIM principles, instrumentation, and analysis while highlighting the latest developments and biological applications. APPROACH This review covers FLIM principles and theory, including advantages over intensity-based fluorescence measurements. Fundamentals of FLIM instrumentation in time- and frequency-domains are summarized, along with recent developments. Image segmentation and analysis strategies that quantify spatial and molecular features of cellular heterogeneity are reviewed. Finally, representative applications are provided including high-resolution FLIM of cell- and organelle-level molecular changes, use of exogenous and endogenous fluorophores, and imaging protein-protein interactions with Förster resonance energy transfer (FRET). Advantages and limitations of FLIM are also discussed. CONCLUSIONS FLIM is advantageous for probing molecular environments of fluorophores to inform on fluorophore behavior that cannot be elucidated with intensity measurements alone. Development of FLIM technologies, analysis, and applications will further advance biological research and clinical assessments.
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Affiliation(s)
- Rupsa Datta
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Tiffany M. Heaster
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Joe T. Sharick
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Amani A. Gillette
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | - Melissa C. Skala
- Morgridge Institute for Research, Madison, Wisconsin, United States
- University of Wisconsin, Department of Biomedical Engineering, Madison, Wisconsin, United States
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20
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Jones JD, Ramser HE, Woessner AE, Veves A, Quinn KP. Quantifying Age-Related Changes in Skin Wound Metabolism Using In Vivo Multiphoton Microscopy. Adv Wound Care (New Rochelle) 2020; 9:90-102. [PMID: 31993251 PMCID: PMC6985773 DOI: 10.1089/wound.2019.1030] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 07/28/2019] [Indexed: 12/27/2022] Open
Abstract
Objective: The elderly are at high risk for developing chronic skin wounds, but the effects of intrinsic aging on skin healing are difficult to isolate due to common comorbidities like diabetes. Our objective is to use multiphoton microscopy (MPM) to find endogenous, noninvasive biomarkers to differentiate changes in skin wound healing metabolism between young and aged mice in vivo. Approach: We utilized MPM to monitor skin metabolism at the edge of full-thickness, excisional wounds in 24- and 4-month-old mice of both sexes for 10 days. MPM can assess quantitative biomarkers of cellular metabolism in vivo by utilizing autofluorescence from the cofactors nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD). Results: An optical redox ratio of FAD/(NADH+FAD) autofluorescence and NADH fluorescence lifetime imaging revealed dynamic changes in keratinocyte function during healing. Aged female mice demonstrated an attenuation of keratinocyte proliferation during wound healing detectable optically through a higher redox ratio and longer NADH fluorescence lifetime. By measuring the correlation between NADH lifetime and the optical redox ratio at each day, we also demonstrate sensitivity to the proliferative phase of wound healing. Innovation: Label-free MPM was used to longitudinally monitor individual wounds in vivo, which revealed age-dependent differences in wound metabolism. Conclusion: These results indicate in vivo MPM can provide quantitative biomarkers of age-related delays in healing, which can be used in the future to provide patient-specific wound care.
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Affiliation(s)
- Jake D. Jones
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Hallie E. Ramser
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Alan E. Woessner
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Aristidis Veves
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Kyle P. Quinn
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
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21
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Renteria C, Liu YZ, Chaney EJ, Barkalifa R, Sengupta P, Boppart SA. Dynamic Tracking Algorithm for Time-Varying Neuronal Network Connectivity using Wide-Field Optical Image Video Sequences. Sci Rep 2020; 10:2540. [PMID: 32054882 PMCID: PMC7018813 DOI: 10.1038/s41598-020-59227-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 01/27/2020] [Indexed: 12/18/2022] Open
Abstract
Propagation of signals between neurons and brain regions provides information about the functional properties of neural networks, and thus information transfer. Advances in optical imaging and statistical analyses of acquired optical signals have yielded various metrics for inferring neural connectivity, and hence for mapping signal intercorrelation. However, a single coefficient is traditionally derived to classify the connection strength between two cells, ignoring the fact that neural systems are inherently time-variant systems. To overcome these limitations, we utilized a time-varying Pearson's correlation coefficient, spike-sorting, wavelet transform, and wavelet coherence of calcium transients from DIV 12-15 hippocampal neurons from GCaMP6s mice after applying various concentrations of glutamate. Results provide a comprehensive overview of resulting firing patterns, network connectivity, signal directionality, and network properties. Together, these metrics provide a more comprehensive and robust method of analyzing transient neural signals, and enable future investigations for tracking the effects of different stimuli on network properties.
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Affiliation(s)
- Carlos Renteria
- Beckman Institute for Advanced Science and Technology, Urbana, USA
- Department of Bioengineering, Urbana, USA
| | - Yuan-Zhi Liu
- Beckman Institute for Advanced Science and Technology, Urbana, USA
| | - Eric J Chaney
- Beckman Institute for Advanced Science and Technology, Urbana, USA
| | - Ronit Barkalifa
- Beckman Institute for Advanced Science and Technology, Urbana, USA
| | - Parijat Sengupta
- Beckman Institute for Advanced Science and Technology, Urbana, USA
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, Urbana, USA.
- Department of Bioengineering, Urbana, USA.
- Department of Electrical and Computer Engineering, Urbana, USA.
- Neuroscience Program, Urbana, USA.
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, USA.
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22
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Kapsokalyvas D, van Zandvoort MAMJ. Molecular Imaging in Oncology: Advanced Microscopy Techniques. Recent Results Cancer Res 2020; 216:533-561. [PMID: 32594398 DOI: 10.1007/978-3-030-42618-7_16] [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: 06/11/2023]
Abstract
Preclinical studies usually require high levels of morphological, functional, and biochemical information at subcellular resolution. This type of information cannot be obtained from clinical imaging techniques, such as MRI, PET/CT, or US. Luckily, many microscopy techniques exist that can offer this information, also for malignant tissues and therapeutic approaches. In this overview, we discuss the various advanced optical microscopy techniques and their applications in oncological research. After a short introduction in Sect. 16.1, we continue in Sect. 16.2 with a discussion on fluorescent labelling strategies, followed in Sect. 16.3 by an in-depth description of confocal, light-sheet, two-photon, and super-resolution microscopy. We end in Sect. 16.4 with a focus on the applications, specifically in oncology.
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Affiliation(s)
- Dimitrios Kapsokalyvas
- School for Oncology and Developmental Biology GROW and School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, The Netherlands
- Institut für Molekulare Kreislaufforschung, Universitätsklinikum Aachen, Aachen, Germany
| | - Marc A M J van Zandvoort
- School for Oncology and Developmental Biology GROW and School for Cardiovascular Diseases CARIM, Maastricht University, Maastricht, The Netherlands.
- Institut für Molekulare Kreislaufforschung, Universitätsklinikum Aachen, Aachen, Germany.
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23
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Sood D, Tang-Schomer M, Pouli D, Mizzoni C, Raia N, Tai A, Arkun K, Wu J, Black LD, Scheffler B, Georgakoudi I, Steindler DA, Kaplan DL. 3D extracellular matrix microenvironment in bioengineered tissue models of primary pediatric and adult brain tumors. Nat Commun 2019; 10:4529. [PMID: 31586101 PMCID: PMC6778192 DOI: 10.1038/s41467-019-12420-1] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 08/27/2019] [Indexed: 12/15/2022] Open
Abstract
Dynamic alterations in the unique brain extracellular matrix (ECM) are involved in malignant brain tumors. Yet studies of brain ECM roles in tumor cell behavior have been difficult due to lack of access to the human brain. We present a tunable 3D bioengineered brain tissue platform by integrating microenvironmental cues of native brain-derived ECMs and live imaging to systematically evaluate patient-derived brain tumor responses. Using pediatric ependymoma and adult glioblastoma as examples, the 3D brain ECM-containing microenvironment with a balance of cell-cell and cell-matrix interactions supports distinctive phenotypes associated with tumor type-specific and ECM-dependent patterns in the tumor cells' transcriptomic and release profiles. Label-free metabolic imaging of the composite model structure identifies metabolically distinct sub-populations within a tumor type and captures extracellular lipid-containing droplets with potential implications in drug response. The versatile bioengineered 3D tumor tissue system sets the stage for mechanistic studies deciphering microenvironmental role in brain tumor progression.
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Affiliation(s)
- Disha Sood
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Min Tang-Schomer
- Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA.,Connecticut Children's Medical Center, Harford, CT, 06106, USA
| | - Dimitra Pouli
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.,Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02114, USA
| | - Craig Mizzoni
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Nicole Raia
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Albert Tai
- Genomics Core, Tufts University School of Medicine, Boston, MA, 02111, USA
| | - Knarik Arkun
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, MA, 02111, USA
| | - Julian Wu
- Department of Neurosurgery, Tufts Medical Center, Boston, MA, 02111, USA
| | - Lauren D Black
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Bjorn Scheffler
- Department of Neuroscience, University of Florida, McKnight Brain Institute, Gainesville, FL, 32610, USA.,DKFZ-Division of Translational Oncology/ Neurooncology, German Cancer Consortium (DKTK), Heidelberg & University Hospital Essen, Essen, Germany
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Dennis A Steindler
- Department of Neuroscience, University of Florida, McKnight Brain Institute, Gainesville, FL, 32610, USA.,Neuroscience and Aging Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
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24
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Hu S, Zhang J, Tang R, Fan J, Liu H, Kang W, Lei C, Nie Z, Huang Y, Yao S. Click-Type Protein-DNA Conjugation for Mn 2+ Imaging in Living Cells. Anal Chem 2019; 91:10180-10187. [PMID: 31271027 DOI: 10.1021/acs.analchem.9b02191] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A click-type protein-DNA conjugation, named as MnDDC (Mn2+-activated DCV-DNA conjunction), is presented, where DCV (rep protein of duck circovirus) and its target DNA work as the modular blocks to rapidly and effectively generate Mn2+-dependent and site-specific protein-DNA linkage. On the basis of MnDCC, a fluorescent Mn2+ biosensor composed of DCV and a molecular beacon, was developed for rapid sensing of Mn2+ within 2 min with nanomolar sensitivity. Using the proposed biosensor, not only analysis of Mn2+ in real samples (e.g., serum and food), but also wash-free fluorescent imaging of Mn2+ in extracellular environment and cytoplasm have been achieved. Moreover, the MnDDC-based sensor was proved to be a powerful tool for visualization of Mn2+ during exploration of the associated cytotoxicity in living neural cells, which is helpful to reveal the cellular responses toward the disordered homeostasis of Mn2+ in both extracellular and intracellular microenvironments.
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Affiliation(s)
- Shanfang Hu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Jinghui Zhang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Rui Tang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Jiahui Fan
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Huiqiong Liu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Wenyuan Kang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Chunyang Lei
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Zhou Nie
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Yan Huang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
| | - Shouzhuo Yao
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology , Hunan University , Changsha 410082 , P. R. China
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25
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Kolenc OI, Quinn KP. Evaluating Cell Metabolism Through Autofluorescence Imaging of NAD(P)H and FAD. Antioxid Redox Signal 2019; 30:875-889. [PMID: 29268621 PMCID: PMC6352511 DOI: 10.1089/ars.2017.7451] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
SIGNIFICANCE Optical imaging using the endogenous fluorescence of metabolic cofactors has enabled nondestructive examination of dynamic changes in cell and tissue function both in vitro and in vivo. Quantifying NAD(P)H and FAD fluorescence through an optical redox ratio and fluorescence lifetime imaging (FLIM) provides sensitivity to the relative balance between oxidative phosphorylation and glucose catabolism. Since its introduction decades ago, the use of NAD(P)H imaging has expanded to include applications involving almost every major tissue type and a variety of pathologies. Recent Advances: This review focuses on the use of two-photon excited fluorescence and NAD(P)H fluorescence lifetime techniques in cancer, neuroscience, tissue engineering, and other biomedical applications over the last 5 years. In a variety of cancer models, NAD(P)H fluorescence intensity and lifetime measurements demonstrate a sensitivity to the Warburg effect, suggesting potential for early detection or high-throughput drug screening. The sensitivity to the biosynthetic demands of stem cell differentiation and tissue repair processes indicates the range of applications for this imaging technology may be broad. CRITICAL ISSUES As the number of applications for these fluorescence imaging techniques expand, identifying and characterizing additional intrinsic fluorophores and chromophores present in vivo will be vital to accurately measure and interpret metabolic outcomes. Understanding the full capabilities and limitations of FLIM will also be key to future advances. FUTURE DIRECTIONS Future work is needed to evaluate whether a combination of different biochemical and structural outcomes using these imaging techniques can provide complementary information regarding the utilization of specific metabolic pathways.
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Affiliation(s)
- Olivia I Kolenc
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
| | - Kyle P Quinn
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas
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26
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Jones JD, Ramser HE, Woessner AE, Quinn KP. In vivo multiphoton microscopy detects longitudinal metabolic changes associated with delayed skin wound healing. Commun Biol 2018; 1:198. [PMID: 30480099 PMCID: PMC6242983 DOI: 10.1038/s42003-018-0206-4] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 10/26/2018] [Indexed: 01/08/2023] Open
Abstract
Chronic wounds are difficult to diagnose and characterize due to a lack of quantitative biomarkers. Label-free multiphoton microscopy has emerged as a useful imaging modality capable of quantifying changes in cellular metabolism using an optical redox ratio of FAD/(NADH+FAD) autofluorescence. However, the utility of an optical redox ratio for long-term in vivo monitoring of tissue metabolism has not been robustly evaluated. In this study, we demonstrate how multiphoton microscopy can be used to monitor changes in the metabolism of individual full-thickness skin wounds in vivo. 3D optical redox ratio maps and NADH fluorescence lifetime images identify differences between diabetic and control mice during the re-epithelialization of wounds. These metabolic changes are associated with a transient increase in keratinocyte proliferation at the wound edge. Our study demonstrates that high-resolution, non-invasive autofluorescence imaging can be performed in vivo and that optical redox ratios can serve as quantitative optical biomarkers of impaired wound healing.
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Affiliation(s)
- Jake D Jones
- Department of Biomedical Engineering, University of Arkansas, 123 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA
| | - Hallie E Ramser
- Department of Biomedical Engineering, University of Arkansas, 123 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA
| | - Alan E Woessner
- Department of Biomedical Engineering, University of Arkansas, 123 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA
| | - Kyle P Quinn
- Department of Biomedical Engineering, University of Arkansas, 123 John A. White Jr. Engineering Hall, Fayetteville, AR, 72701, USA.
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27
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Li X, Li H, He X, Chen T, Xia X, Yang C, Zheng W. Spectrum- and time-resolved endogenous multiphoton signals reveal quantitative differentiation of premalignant and malignant gastric mucosa. BIOMEDICAL OPTICS EXPRESS 2018; 9:453-471. [PMID: 29552386 PMCID: PMC5854051 DOI: 10.1364/boe.9.000453] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 12/25/2017] [Accepted: 12/30/2017] [Indexed: 05/09/2023]
Abstract
Early identification of premalignant and malignant gastric mucosa is crucial to decrease the incidence and mortality of stomach cancer. Spectrum- and time-resolved multiphoton microscopy are capable of providing not only structural but also biochemical information at the subcellular level. Based on this multidimensional imaging technique, we performed a systematic investigation on fresh human tissue specimens at the typical stages of gastric carcinogenesis, including normal, chronic gastritis with erosion, chronic gastritis with intestinal metaplasia, and intestinal-type adenocarcinoma. The results demonstrate that this technique is available to characterize the three-dimensional subcellular morphological and biochemical properties of gastric mucosa and further provide quantitative indicators of different gastric disorders, by using endogenous contrast. With advances in multiphoton endoscopy, it has the potential to allow noninvasive, label-free, real-time histological and functional diagnosis of premalignant and malignant lesions of stomach in the future.
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Affiliation(s)
- Xi Li
- Department of Gastroenterology, Peking University Shenzhen Hospital, Shen Zhen 518036, China
- Authors contributed equally to this work
| | - Hui Li
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Authors contributed equally to this work
| | - Xingzhen He
- Department of Gastroenterology, Zhejiang Hospital, Hangzhou 310007, China
| | - Tingai Chen
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xianyuan Xia
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Chunxia Yang
- Department of Pathology, Jinchang First People's Hospital, Jinchang 737109, China
| | - Wei Zheng
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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28
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In Vivo Imaging of CNS Injury and Disease. J Neurosci 2017; 37:10808-10816. [PMID: 29118209 DOI: 10.1523/jneurosci.1826-17.2017] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 10/02/2017] [Accepted: 10/03/2017] [Indexed: 02/06/2023] Open
Abstract
In vivo optical imaging has emerged as a powerful tool with which to study cellular responses to injury and disease in the mammalian CNS. Important new insights have emerged regarding axonal degeneration and regeneration, glial responses and neuroinflammation, changes in the neurovascular unit, and, more recently, neural transplantations. Accompanying a 2017 SfN Mini-Symposium, here, we discuss selected recent advances in understanding the neuronal, glial, and other cellular responses to CNS injury and disease with in vivo imaging of the rodent brain or spinal cord. We anticipate that in vivo optical imaging will continue to be at the forefront of breakthrough discoveries of fundamental mechanisms and therapies for CNS injury and disease.
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29
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Pouli D, Tozzi L, Alonzo CA, Liu Z, Kaplan DL, Balduini A, Georgakoudi I. Label free monitoring of megakaryocytic development and proplatelet formation in vitro. BIOMEDICAL OPTICS EXPRESS 2017; 8:4742-4755. [PMID: 29082099 PMCID: PMC5654814 DOI: 10.1364/boe.8.004742] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/01/2017] [Accepted: 09/05/2017] [Indexed: 06/07/2023]
Abstract
Megakaryopoiesis and platelet production are complex biological processes that require tight regulation of successive lineage commitment steps and are ultimately responsible for maintaining and renewing the pool of circulating platelets in the blood. Despite major advancements in the understanding of megakaryocytic biology, the detailed mechanisms driving megakaryocytic differentiation have yet to be elucidated. Here we show that automated image analysis algorithms applied to two-photon excited fluorescence (TPEF) images can non-invasively monitor structural and metabolic megakaryocyte behavior changes occurring during differentiation and platelet formation in vitro. Our results demonstrate that high-contrast, label-free two photon imaging holds great potential in studying the underlying physiological processes controlling the intricate process of platelet production.
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Affiliation(s)
- Dimitra Pouli
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
- These authors contributed equally to this work
| | - Lorenzo Tozzi
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Biotechnology Research Laboratories, IRCCS San Matteo Foundation, Pavia, Italy
- These authors contributed equally to this work
| | - Carlo A. Alonzo
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
| | - Zhiyi Liu
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
| | - David L. Kaplan
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
| | - Alessandra Balduini
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Biotechnology Research Laboratories, IRCCS San Matteo Foundation, Pavia, Italy
| | - Irene Georgakoudi
- Department of Biomedical Engineering, Tufts University, 4 Colby St., 02155 Medford MA, USA
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