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Carretta A, Moscardini A, Signore G, Debellis D, Catalano F, Marotta R, Palmieri V, Tedeschi G, Scipioni L, Pozzi D, Caracciolo G, Beltram F, Cardarelli F. The supramolecular processing of liposomal doxorubicin hinders its therapeutic efficacy in cells. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200836. [PMID: 39050990 PMCID: PMC11268116 DOI: 10.1016/j.omton.2024.200836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/06/2024] [Accepted: 06/13/2024] [Indexed: 07/27/2024]
Abstract
The successful trajectory of liposome-encapsulated doxorubicin (e.g., Doxil, which has been approved by the U.S. Food and Drug Administration) as an anticancer nanodrug in clinical applications is contradicted by in vitro cell viability data that highlight its reduced efficacy in promoting cell death compared with non-encapsulated doxorubicin. No reports to date have provided a mechanistic explanation for this apparently discordant evidence. Taking advantage of doxorubicin intrinsic fluorescence and time-resolved optical microscopy, we analyze the uptake and intracellular processing of liposome-encapsulated doxorubicin (L-DOX) in several in vitro cellular models. Cell entry of L-DOX was found to lead to a rapid (seconds to minutes), energy- and temperature-independent release of crystallized doxorubicin nanorods into the cell cytoplasm, which then disassemble into a pool of fibril-shaped derivatives capable of crossing the cellular membrane while simultaneously releasing active drug monomers. Thus, a steady state is rapidly established in which the continuous supply of crystal nanorods from incoming liposomes is counteracted by a concentration-guided efflux in the extracellular medium of fibril-shaped derivatives and active drug monomers. These results demonstrate that liposome-mediated delivery is constitutively less efficient than isolated drug in establishing favorable conditions for drug retention in the cell. In addition to explaining previous contradictory evidence, present results impose careful rethinking of the synthetic identity of encapsulated anticancer drugs.
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Affiliation(s)
- Annalisa Carretta
- Scuola Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Aldo Moscardini
- Scuola Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Giovanni Signore
- Biochemistry Unit, Department of Biology, University of Pisa, via San Zeno 51, 56123 Pisa, Italy
- Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy
| | - Doriana Debellis
- Electron Microscopy Facility, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy
| | - Federico Catalano
- Electron Microscopy Facility, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy
| | - Roberto Marotta
- Electron Microscopy Facility, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy
| | - Valentina Palmieri
- Istituto dei Sistemi Complessi ISC CNR, Via dei Taurini 19, 00185 Rome, Italy
| | - Giulia Tedeschi
- Laboratory for Fluorescence Dynamics, Biomedical Engineering Department, University of California, Irvine, Irvine, CA, USA
| | - Lorenzo Scipioni
- Laboratory for Fluorescence Dynamics, Biomedical Engineering Department, University of California, Irvine, Irvine, CA, USA
| | - Daniela Pozzi
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Giulio Caracciolo
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Fabio Beltram
- Scuola Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Francesco Cardarelli
- Scuola Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
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2
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Roy D, Michalet X, Miller EW, Weiss S. Towards optical measurements of membrane potential values in Bacillus subtilis using fluorescence lifetime. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.13.598880. [PMID: 38915670 PMCID: PMC11195253 DOI: 10.1101/2024.06.13.598880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Membrane potential (MP) changes can provide a simple readout of bacterial functional and metabolic state or stress levels. While several optical methods exist for measuring fast changes in MP in excitable cells, there is a dearth of such methods for absolute and precise measurements of steady-state membrane potentials (MPs) in bacterial cells. Conventional electrode-based methods for the measurement of MP are not suitable for calibrating optical methods in small bacterial cells. While optical measurement based on Nernstian indicators have been successfully used, they do not provide absolute or precise quantification of MP or its changes. We present a novel, calibrated MP recording approach to address this gap. In this study, we used a fluorescence lifetime-based approach to obtain a single-cell resolved distribution of the membrane potential and its changes upon extracellular chemical perturbation in a population of bacterial cells for the first time. Our method is based on (i) a unique VoltageFluor (VF) optical transducer, whose fluorescence lifetime varies as a function of MP via photoinduced electron transfer (PeT) and (ii) a quantitative phasor-FLIM analysis for high-throughput readout. This method allows MP changes to be easily visualized, recorded and quantified. By artificially modulating potassium concentration gradients across the membrane using an ionophore, we have obtained a Bacillus subtilis-specific MP versus VF lifetime calibration and estimated the MP for unperturbed B. subtilis cells to be -65 mV and that for chemically depolarized cells as -14 mV. We observed a population level MP heterogeneity of ~6-10 mV indicating a considerable degree of diversity of physiological and metabolic states among individual cells. Our work paves the way for deeper insights into bacterial electrophysiology and bioelectricity research.
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Affiliation(s)
- Debjit Roy
- UCLA-DOE Institute for Genomics and Proteomics, Department of Biological Chemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Xavier Michalet
- Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- California Nano Systems Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Evan W. Miller
- Departments of Chemistry, Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California at Berkeley, CA 94720, USA
| | - Shimon Weiss
- UCLA-DOE Institute for Genomics and Proteomics, Department of Biological Chemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA
- California Nano Systems Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Physics, Institute for Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan 52900, Israel
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3
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Bogdanova YA, Solovyev ID, Baleeva NS, Myasnyanko IN, Gorshkova AA, Gorbachev DA, Gilvanov AR, Goncharuk SA, Goncharuk MV, Mineev KS, Arseniev AS, Bogdanov AM, Savitsky AP, Baranov MS. Fluorescence lifetime multiplexing with fluorogen activating protein FAST variants. Commun Biol 2024; 7:799. [PMID: 38956304 PMCID: PMC11219735 DOI: 10.1038/s42003-024-06501-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
In this paper, we propose a fluorescence-lifetime imaging microscopy (FLIM) multiplexing system based on the fluorogen-activating protein FAST. This genetically encoded fluorescent labeling platform employs FAST mutants that activate the same fluorogen but provide different fluorescence lifetimes for each specific protein-dye pair. All the proposed probes with varying lifetimes possess nearly identical and the smallest-in-class size, along with quite similar steady-state optical properties. In live mammalian cells, we target these chemogenetic tags to two intracellular structures simultaneously, where their fluorescence signals are clearly distinguished by FLIM. Due to the unique structure of certain fluorogens under study, their complexes with FAST mutants display a monophasic fluorescence decay, which may facilitate enhanced multiplexing efficiency by reducing signal cross-talks and providing optimal prerequisites for signal separation upon co-localized and/or spatially overlapped labeling.
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Affiliation(s)
- Yulia A Bogdanova
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Ilya D Solovyev
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, 119071, Moscow, Russia
| | - Nadezhda S Baleeva
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
- Pirogov Russian National Research Medical University, Ostrovitianov 1, Moscow, 117997, Russia
| | - Ivan N Myasnyanko
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
- Pirogov Russian National Research Medical University, Ostrovitianov 1, Moscow, 117997, Russia
| | - Anastasia A Gorshkova
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Dmitriy A Gorbachev
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Aidar R Gilvanov
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Sergey A Goncharuk
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Marina V Goncharuk
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Konstantin S Mineev
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
- Goethe University Frankfurt, Frankfurt am Main, 60433, Germany
| | - Alexander S Arseniev
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
| | - Alexey M Bogdanov
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia
- Department of Photonics, İzmir Institute of Technology, 35430, İzmir, Turkey
| | - Alexander P Savitsky
- A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, 119071, Moscow, Russia
| | - Mikhail S Baranov
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Miklukho-Maklaya 16/10, 117997, Moscow, Russia.
- Pirogov Russian National Research Medical University, Ostrovitianov 1, Moscow, 117997, Russia.
- Department of Biology, Lomonosov Moscow State University, Moscow, 119991 Russia, 121205, Moscow, Russia.
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Nikolaev VV, Kistenev YV, Kröger M, Zuhayri H, Darvin ME. Review of optical methods for noninvasive imaging of skin fibroblasts-From in vitro to ex vivo and in vivo visualization. JOURNAL OF BIOPHOTONICS 2024; 17:e202300223. [PMID: 38018868 DOI: 10.1002/jbio.202300223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/21/2023] [Accepted: 10/25/2023] [Indexed: 11/30/2023]
Abstract
Fibroblasts are among the most common cell types in the stroma responsible for creating and maintaining the structural organization of the extracellular matrix in the dermis, skin regeneration, and a range of immune responses. Until now, the processes of fibroblast adaptation and functioning in a varying environment have not been fully understood. Modern laser microscopes are capable of studying fibroblasts in vitro and ex vivo. One-photon- and two-photon-excited fluorescence microscopy, Raman spectroscopy/microspectroscopy are well-suited noninvasive optical methods for fibroblast imaging in vitro and ex vivo. In vivo staining-free fibroblast imaging is not still implemented. The exception is fibroblast imaging in tattooed skin. Although in vivo noninvasive staining-free imaging of fibroblasts in the skin has not yet been implemented, it is expected in the future. This review summarizes the state-of-the-art in fibroblast visualization using optical methods and discusses the advantages, limitations, and prospects for future noninvasive imaging.
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Affiliation(s)
- Viktor V Nikolaev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Yury V Kistenev
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Marius Kröger
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
| | - Hala Zuhayri
- Tomsk State University, Laboratory of Molecular Imaging and Machine Learning, Tomsk, Russia
| | - Maxim E Darvin
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venerology and Allergology, Center of Experimental and Applied Cutaneous Physiology, Berlin, Germany
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5
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Bernardi M, Cardarelli F. Phasor identifier: A cloud-based analysis of phasor-FLIM data on Python notebooks. BIOPHYSICAL REPORTS 2023; 3:100135. [PMID: 38053971 PMCID: PMC10694583 DOI: 10.1016/j.bpr.2023.100135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 11/03/2023] [Indexed: 12/07/2023]
Abstract
This paper introduces an innovative approach utilizing Google Colaboratory for the versatile analysis of phasor fluorescence lifetime imaging microscopy (FLIM) data collected from various samples (e.g., cuvette, cells, tissues) and in various input file formats. In fact, phasor-FLIM widespread adoption has been hampered by complex instrumentation and data analysis requirements. We mean to make advanced FLIM analysis more accessible to researchers through a cloud-based solution that 1) harnesses robust computational resources, 2) eliminates hardware limitations, and 3) supports both CPU and GPU processing. We envision a paradigm shift in FLIM data accessibility and potential, aligning with the evolving field of artificial intelligence-driven FLIM analysis. This approach simplifies FLIM data handling and opens doors for diverse applications, from studying cellular metabolism to investigating drug encapsulation, benefiting researchers across multiple domains. The comparative analysis of freely distributed FLIM tools highlights the unique advantages of this approach in terms of adaptability, scalability, and open-source nature.
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Qian Y, Celiker OT, Wang Z, Guner-Ataman B, Boyden ES. Temporally multiplexed imaging of dynamic signaling networks in living cells. Cell 2023; 186:5656-5672.e21. [PMID: 38029746 PMCID: PMC10843875 DOI: 10.1016/j.cell.2023.11.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/30/2023] [Accepted: 11/05/2023] [Indexed: 12/01/2023]
Abstract
Molecular signals interact in networks to mediate biological processes. To analyze these networks, it would be useful to image many signals at once, in the same living cell, using standard microscopes and genetically encoded fluorescent reporters. Here, we report temporally multiplexed imaging (TMI), which uses genetically encoded fluorescent proteins with different clocklike properties-such as reversibly photoswitchable fluorescent proteins with different switching kinetics-to represent different cellular signals. We linearly decompose a brief (few-second-long) trace of the fluorescence fluctuations, at each point in a cell, into a weighted sum of the traces exhibited by each fluorophore expressed in the cell. The weights then represent the signal amplitudes. We use TMI to analyze relationships between different kinase activities in individual cells, as well as between different cell-cycle signals, pointing toward broad utility throughout biology in the analysis of signal transduction cascades in living systems.
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Affiliation(s)
- Yong Qian
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA 01239, USA
| | - Orhan T Celiker
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA 01239, USA; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 01239, USA
| | - Zeguan Wang
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA 01239, USA; Department of Media Arts and Sciences, MIT, Cambridge, MA 01239, USA
| | - Burcu Guner-Ataman
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA 01239, USA
| | - Edward S Boyden
- McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT), Cambridge, MA 01239, USA; Department of Media Arts and Sciences, MIT, Cambridge, MA 01239, USA; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 01239, USA; Department of Biological Engineering, MIT, Cambridge, MA 01239, USA; Koch Institute, MIT, Cambridge, MA 01239, USA; Howard Hughes Medical Institute, Cambridge, MA 01239, USA; Center for Neurobiological Engineering and K. Lisa Yang Center for Bionics at MIT, Cambridge, MA 01239, USA.
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7
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Bernardi M, Signore G, Moscardini A, Pugliese LA, Pesce L, Beltram F, Cardarelli F. Fluorescence Lifetime Nanoscopy of Liposomal Irinotecan Onivyde: From Manufacturing to Intracellular Processing. ACS APPLIED BIO MATERIALS 2023; 6:4277-4289. [PMID: 37699572 PMCID: PMC10583229 DOI: 10.1021/acsabm.3c00478] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 08/27/2023] [Indexed: 09/14/2023]
Abstract
Onivyde was approved by the Food and Drug Administration (FDA) in 2015 for the treatment of solid tumors, including metastatic pancreatic cancer. It is designed to encapsulate irinotecan at high concentration, increase its blood-circulation lifetime, and deliver it to cells where it is enzymatically converted into SN-38, a metabolite with 100- to 1000-fold higher anticancer activity. Despite a rewarding clinical path, little is known about the physical state of encapsulated irinotecan within Onivyde and how this synthetic identity changes throughout the process from manufacturing to intracellular processing. Herein, we exploit irinotecan intrinsic fluorescence and fluorescence lifetime imaging microscopy (FLIM) to selectively probe the supramolecular organization of the drug. FLIM analysis on the manufacturer's formulation reveals the presence of two coexisting physical states within Onivyde liposomes: (i) gelated/precipitated irinotecan and (ii) liposome-membrane-associated irinotecan, the presence of which is not inferable from the manufacturer's indications. FLIM in combination with high-performance liquid chromatography (HPLC) and a membrane-impermeable dynamic quencher of irinotecan reveals rapid (within minutes) and complete chemical dissolution of the gelated/precipitated phase upon Onivyde dilution in standard cell-culturing medium with extensive leakage of the prodrug from liposomes. Indeed, confocal imaging and cell-proliferation assays show that encapsulated and nonencapsulated irinotecan formulations are similar in terms of cell-uptake mechanism and cell-division inhibition. Finally, 2-channel FLIM analysis discriminates the signature of irinotecan from that of its red-shifted SN-38 metabolite, demonstrating the appearance of the latter as a result of Onivyde intracellular processing. The findings presented in this study offer fresh insights into the synthetic identity of Onivyde and its transformation from production to in vitro administration. Moreover, these results serve as another validation of the effectiveness of FLIM analysis in elucidating the supramolecular organization of encapsulated fluorescent drugs. This research underscores the importance of leveraging advanced imaging techniques to deepen our understanding of drug formulations and optimize their performance in delivery applications.
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Affiliation(s)
- Mario Bernardi
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Giovanni Signore
- Biochemistry
Unit, Department of Biology, University
of Pisa, via San Zeno
51, 56123 Pisa, Italy
- Institute
of Clinical Physiology, National Research
Council, 56124 Pisa, Italy
| | - Aldo Moscardini
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Licia Anna Pugliese
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Luca Pesce
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
| | - Fabio Beltram
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
- NEST,
Istituto Nanoscienze-CNR, Piazza S. Silvestro, 12, I-56127 Pisa, Italy
| | - Francesco Cardarelli
- Scuola
Normale Superiore, Laboratorio NEST, Piazza San Silvestro 12, 56127 Pisa, Italy
- NEST,
Istituto Nanoscienze-CNR, Piazza S. Silvestro, 12, I-56127 Pisa, Italy
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8
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Pena AM, Ito S, Bornschlögl T, Brizion S, Wakamatsu K, Del Bino S. Multiphoton FLIM Analyses of Native and UVA-Modified Synthetic Melanins. Int J Mol Sci 2023; 24:4517. [PMID: 36901948 PMCID: PMC10002570 DOI: 10.3390/ijms24054517] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/14/2023] [Accepted: 02/21/2023] [Indexed: 03/02/2023] Open
Abstract
To better understand the impact of solar light exposure on human skin, the chemical characterization of native melanins and their structural photo-modifications is of central interest. As the methods used today are invasive, we investigated the possibility of using multiphoton fluorescence lifetime (FLIM) imaging, along with phasor and bi-exponential fitting analyses, as a non-invasive alternative method for the chemical analysis of native and UVA-exposed melanins. We demonstrated that multiphoton FLIM allows the discrimination between native DHI, DHICA, Dopa eumelanins, pheomelanin, and mixed eu-/pheo-melanin polymers. We exposed melanin samples to high UVA doses to maximize their structural modifications. The UVA-induced oxidative, photo-degradation, and crosslinking changes were evidenced via an increase in fluorescence lifetimes along with a decrease in their relative contributions. Moreover, we introduced a new phasor parameter of a relative fraction of a UVA-modified species and provided evidence for its sensitivity in assessing the UVA effects. Globally, the fluorescence lifetime properties were modulated in a melanin-dependent and UVA dose-dependent manner, with the strongest modifications being observed for DHICA eumelanin and the weakest for pheomelanin. Multiphoton FLIM phasor and bi-exponential analyses hold promising perspectives for in vivo human skin mixed melanins characterization under UVA or other sunlight exposure conditions.
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Affiliation(s)
- Ana-Maria Pena
- L’Oréal Research and Innovation, 93601 Aulnay-sous-Bois, France
| | - Shosuke Ito
- Institute for Melanin Chemistry, Fujita Health University, Toyoake 470-1192, Japan
| | | | | | - Kazumasa Wakamatsu
- Institute for Melanin Chemistry, Fujita Health University, Toyoake 470-1192, Japan
| | - Sandra Del Bino
- L’Oréal Research and Innovation, 93601 Aulnay-sous-Bois, France
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9
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Wu D, Durán-Sampedro G, Fitzgerald S, Garre M, O'Shea DF. Double click macrocyclization with Sondheimer diyne of aza-dipyrrins for B-F ree bioorthogonal imaging. Chem Commun (Camb) 2023; 59:1951-1954. [PMID: 36722871 DOI: 10.1039/d2cc06461h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Sequential azide/diyne cycloadditions proved highly effective for the macrocyclization of a bis-azido aza-dipyrrin. Macrocyclic aza-dipyrrin could be produced in 30 min at rt in water with changes in fluorescence intensity and lifetimes measurable upon reaction. Live cell microscopy showed that aza-dipyrrins were suitable for confocal and STED super-resolution imaging and a bioorthogonal response to macrocyclization could be detected in cellular compartments. These results will encourage a broader examination of the sensing and imaging uses of aza-dipyrrins.
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Affiliation(s)
- Dan Wu
- Department of Chemistry, RCSI, 123 St Stephen's Green, Dublin 2, Ireland.
| | | | - Sheila Fitzgerald
- Department of Chemistry, RCSI, 123 St Stephen's Green, Dublin 2, Ireland.
| | - Massimiliano Garre
- Department of Chemistry, RCSI, 123 St Stephen's Green, Dublin 2, Ireland.
| | - Donal F O'Shea
- Department of Chemistry, RCSI, 123 St Stephen's Green, Dublin 2, Ireland.
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10
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Díaz M, Malacrida L. Advanced Fluorescence Microscopy Methods to Study Dynamics of Fluorescent Proteins In Vivo. Methods Mol Biol 2023; 2564:53-74. [PMID: 36107337 DOI: 10.1007/978-1-0716-2667-2_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Fluorescent proteins are standard tools for addressing biological questions in a cell biology laboratory. The genetic tagging of protein of interest with fluorescent proteins opens the opportunity to follow them in vivo and to understand their interactions and dynamics. In addition, the latest advances in optical microscopy image acquisition and processing allow us to study many cellular processes in vivo. Techniques such as fluorescence lifetime microscopy and hyperspectral imaging provide valuable tools for understanding fluorescent protein interactions and their photophysics. Finally, fluorescence fluctuation analysis opens the possibility to address questions of molecular diffusion, protein-protein interactions, and oligomerization, among others, yielding quantitative information on the subject of study. This chapter will cover some of the more important advances in cutting-edge technologies and methods that, combined with fluorescent proteins, open new frontiers for biological studies.
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Affiliation(s)
- Marcela Díaz
- Advanced Bioimaging Unit, Institut Pasteur of Montevideo & Universidad de la República, Montevideo, Uruguay
| | - Leonel Malacrida
- Advanced Bioimaging Unit, Institut Pasteur of Montevideo & Universidad de la República, Montevideo, Uruguay.
- Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
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11
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Franssen WMJ, Treibel TA, Seraphim A, Weingärtner S, Terenzi C. Model-free phasor image analysis of quantitative myocardial T 1 mapping. Sci Rep 2022; 12:19840. [PMID: 36400794 PMCID: PMC9674690 DOI: 10.1038/s41598-022-23872-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022] Open
Abstract
Model-free phasor image analysis, well established in fluorescence lifetime imaging and only recently applied to qMRI [Formula: see text] data processing, is here adapted and validated for myocardial qMRI [Formula: see text] mapping. Contrarily to routine mono-exponential fitting procedures, phasor enables mapping the lifetime information from all image voxels to a single plot, without resorting to any regression fitting analysis, and describing multi-exponential qMRI decays without biases due to violated modelling assumptions. In this feasibility study, we test the performance of our recently developed full-harmonics phasor method for unravelling partial-volume effects, motion or pathological tissue alteration, respectively on a numerically-simulated dataset, a healthy subject scan, and two pilot patient datasets. Our results show that phasor analysis can be used, as alternative method to fitting analysis or other model-free approaches, to identify motion artifacts or partial-volume effects at the myocardium-blood interface as characteristic deviations, or delineations of scar and remote myocardial tissue in patient data.
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Affiliation(s)
- Wouter M. J. Franssen
- grid.4818.50000 0001 0791 5666Laboratory of Biophysics, Wageningen University and Research, Wageningen, The Netherlands
| | - Thomas A. Treibel
- grid.83440.3b0000000121901201Institute of Cardiovascular Science, University College London, London, UK ,grid.416353.60000 0000 9244 0345Department of Cardiology, St Bartholomew’s Hospital, Barts Health NHS Trust, London, UK
| | - Andreas Seraphim
- grid.83440.3b0000000121901201Institute of Cardiovascular Science, University College London, London, UK ,grid.416353.60000 0000 9244 0345Department of Cardiology, St Bartholomew’s Hospital, Barts Health NHS Trust, London, UK
| | - Sebastian Weingärtner
- grid.5292.c0000 0001 2097 4740Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Camilla Terenzi
- grid.4818.50000 0001 0791 5666Laboratory of Biophysics, Wageningen University and Research, Wageningen, The Netherlands
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12
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Rahim MK, Zhao J, Patel HV, Lagouros HA, Kota R, Fernandez I, Gratton E, Haun JB. Phasor Analysis of Fluorescence Lifetime Enables Quantitative Multiplexed Molecular Imaging of Three Probes. Anal Chem 2022; 94:14185-14194. [PMID: 36190014 PMCID: PMC10681155 DOI: 10.1021/acs.analchem.2c02149] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The excited-state lifetime is an intrinsic property of fluorescent molecules that can be leveraged for multiplexed imaging. An advantage of fluorescence lifetime-based multiplexing is that signals from multiple probes can be gathered simultaneously, whereas traditional spectral fluorescence imaging typically requires multiple images at different excitation and emission wavelengths. Additionally, lifetime and spectra could both be utilized to expand the multiplexing capacity of fluorescence. However, resolving exogenous molecular probes based exclusively on the fluorescence lifetime has been limited by technical challenges in analyzing lifetime data. The phasor approach to lifetime analysis offers a simple, graphical solution that has increasingly been used to assess endogenous cellular autofluorescence to quantify metabolic factors. In this study, we employed the phasor analysis of FLIM to quantitatively resolve three exogenous, antibody-targeted fluorescent probes with similar spectral properties based on lifetime information alone. First, we demonstrated that three biomarkers that were spatially restricted to the cell membrane, cytosol, or nucleus could be accurately distinguished using FLIM and phasor analysis. Next, we successfully resolved and quantified three probes that were all targeted to cell surface biomarkers. Finally, we demonstrated that lifetime-based quantitation accuracy can be improved through intensity matching of various probe-biomarker combinations, which will expand the utility of this technique. Importantly, we reconstructed images for each individual probe, as well as an overlay of all three probes, from a single FLIM image. Our results demonstrate that FLIM and phasor analysis can be leveraged as a powerful tool for simultaneous detection of multiple biomarkers with high sensitivity and accuracy.
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Affiliation(s)
- Maha K Rahim
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Jinghui Zhao
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Hinesh V Patel
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Hauna A Lagouros
- Department of Materials Science and Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Rajesh Kota
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Irma Fernandez
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
- Laboratory for Fluorescence Dynamics, University of California Irvine, Irvine, California 92697, United States
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, California 92697, United States
| | - Jered B Haun
- Department of Biomedical Engineering, University of California Irvine, Irvine, California 92697, United States
- Department of Materials Science and Engineering, University of California Irvine, Irvine, California 92697, United States
- Department of Chemical and Biomolecular Engineering, University of California Irvine, Irvine, California 92697, United States
- Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, California 92697, United States
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13
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Gonzalez Pisfil M, Nadelson I, Bergner B, Rottmeier S, Thomae AW, Dietzel S. Stimulated emission depletion microscopy with a single depletion laser using five fluorochromes and fluorescence lifetime phasor separation. Sci Rep 2022; 12:14027. [PMID: 35982114 PMCID: PMC9388687 DOI: 10.1038/s41598-022-17825-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/01/2022] [Indexed: 11/15/2022] Open
Abstract
Stimulated emission depletion (STED) microscopy achieves super-resolution by exciting a diffraction-limited volume and then suppressing fluorescence in its outer parts by depletion. Multiple depletion lasers may introduce misalignment and bleaching. Hence, a single depletion wavelength is preferable for multi-color analyses. However, this limits the number of usable spectral channels. Using cultured cells, common staining protocols, and commercially available fluorochromes and microscopes we exploit that the number of fluorochromes in STED or confocal microscopy can be increased by phasor based fluorescence lifetime separation of two dyes with similar emission spectra but different fluorescent lifetimes. In our multi-color FLIM-STED approach two fluorochromes in the near red (exc. 594 nm, em. 600–630) and two in the far red channel (633/641–680), supplemented by a single further redshifted fluorochrome (670/701–750) were all depleted with a single laser at 775 nm thus avoiding potential alignment issues. Generally, this approach doubles the number of fully distinguishable colors in laser scanning microscopy. We provide evidence that eight color FLIM-STED with a single depletion laser would be possible if suitable fluorochromes were identified and we confirm that a fluorochrome may have different lifetimes depending on the molecules to which it is coupled.
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Affiliation(s)
- Mariano Gonzalez Pisfil
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany
| | - Iliya Nadelson
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany
| | - Brigitte Bergner
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany
| | - Sonja Rottmeier
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany
| | - Andreas W Thomae
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany
| | - Steffen Dietzel
- Core Facility Bioimaging and Walter-Brendel-Centre of Experimental Medicine, Biomedical Center, Ludwig-Maximilians-Universität München, Großhaderner Straße 9, 82152, Planegg-Martinsried, Germany.
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14
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Tentori P, Signore G, Camposeo A, Carretta A, Ferri G, Pingue P, Luin S, Pozzi D, Gratton E, Beltram F, Caracciolo G, Cardarelli F. Fluorescence lifetime microscopy unveils the supramolecular organization of liposomal Doxorubicin. NANOSCALE 2022; 14:8901-8905. [PMID: 35719059 DOI: 10.1039/d2nr00311b] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The supramolecular organization of Doxorubicin (DOX) within the standard Doxoves® liposomal formulation (DOX®) is investigated using visible light and phasor approach to fluorescence lifetime imaging (phasor-FLIM). First, the phasor-FLIM signature of DOX® is resolved into the contribution of three co-existing fluorescent species, each with its characteristic mono-exponential lifetime, namely: crystallized DOX (DOXc, 0.2 ns), free DOX (DOXf, 1.0 ns), and DOX bound to the liposomal membrane (DOXb, 4.5 ns). Then, the exact molar fractions of the three species are determined by combining phasor-FLIM with quantitative absorption/fluorescence spectroscopy on DOXc, DOXf, and DOXb pure standards. The final picture on DOX® comprises most of the drug in the crystallized form (∼98%), with the remaining fractions divided between free (∼1.4%) and membrane-bound drug (∼0.7%). Finally, phasor-FLIM in the presence of a DOX dynamic quencher allows us to suggest that DOXf is both encapsulated and non-encapsulated, and that DOXb is present on both liposome-membrane leaflets. We argue that the present experimental protocol can be applied to the investigation of the supramolecular organization of encapsulated luminescent drugs/molecules all the way from the production phase to their state within living matter.
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Affiliation(s)
- Paolo Tentori
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
- Center for Nanotechnology Innovation @NEST, Pisa, Italy
| | | | - Andrea Camposeo
- NEST, Istituto Nanoscienze-CNR, Piazza S. Silvestro, 12, I-56127, Pisa, Italy
| | | | - Gianmarco Ferri
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
| | - Pasqualantonio Pingue
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
- NEST, Istituto Nanoscienze-CNR, Piazza S. Silvestro, 12, I-56127, Pisa, Italy
| | - Stefano Luin
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
| | - Daniela Pozzi
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Enrico Gratton
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California at Irvine, Irvine, California, USA
| | - Fabio Beltram
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
- Center for Nanotechnology Innovation @NEST, Pisa, Italy
| | - Giulio Caracciolo
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Francesco Cardarelli
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy. E-mail:.
- NEST, Istituto Nanoscienze-CNR, Piazza S. Silvestro, 12, I-56127, Pisa, Italy
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15
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Frei MS, Koch B, Hiblot J, Johnsson K. Live-Cell Fluorescence Lifetime Multiplexing Using Synthetic Fluorescent Probes. ACS Chem Biol 2022; 17:1321-1327. [PMID: 35584304 PMCID: PMC9207807 DOI: 10.1021/acschembio.2c00041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
Fluorescence lifetime
multiplexing requires fluorescent probes
with distinct fluorescence lifetimes but similar spectral properties.
Even though synthetic probes for many cellular targets are available
for multicolor live-cell fluorescence microscopy, few of them have
been characterized for their use in fluorescence lifetime multiplexing.
Here, we demonstrate that, from a panel of 18 synthetic probes, eight
pairwise combinations are suitable for fluorescence lifetime multiplexing
in living mammalian cell lines. Moreover, combining multiple pairs
in different spectral channels enables us to image four and with the
help of self-labeling protein tags up to eight different biological
targets, effectively doubling the number of observable targets. The
combination of synthetic probes with fluorescence lifetime multiplexing
is thus a powerful approach for live-cell imaging.
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Affiliation(s)
- Michelle S. Frei
- Department of Chemical Biology, Max Planck Institute for Medical Research, Jahnstrasse 29, 69120 Heidelberg, Germany
| | - Birgit Koch
- Department of Chemical Biology, Max Planck Institute for Medical Research, Jahnstrasse 29, 69120 Heidelberg, Germany
| | - Julien Hiblot
- Department of Chemical Biology, Max Planck Institute for Medical Research, Jahnstrasse 29, 69120 Heidelberg, Germany
| | - Kai Johnsson
- Department of Chemical Biology, Max Planck Institute for Medical Research, Jahnstrasse 29, 69120 Heidelberg, Germany
- Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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16
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Pena AM, Decencière E, Brizion S, Sextius P, Koudoro S, Baldeweck T, Tancrède-Bohin E. In vivo melanin 3D quantification and z-epidermal distribution by multiphoton FLIM, phasor and Pseudo-FLIM analyses. Sci Rep 2022; 12:1642. [PMID: 35102172 PMCID: PMC8803839 DOI: 10.1038/s41598-021-03114-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/26/2021] [Indexed: 12/15/2022] Open
Abstract
Characterizing melanins in situ and determining their 3D z-epidermal distribution is paramount for understanding physiological/pathological processes of melanin neosynthesis, transfer, degradation or modulation with external UV exposure or cosmetic/pharmaceutical products. Multiphoton fluorescence intensity- and lifetime-based approaches have been shown to afford melanin detection, but how can one quantify melanin in vivo in 3D from multiphoton fluorescence lifetime (FLIM) data, especially since FLIM imaging requires long image acquisition times not compatible with 3D imaging in a clinical setup? We propose an approach combining (i) multiphoton FLIM, (ii) fast image acquisition times, and (iii) a melanin detection method called Pseudo-FLIM, based on slope analysis of autofluorescence intensity decays from temporally binned data. We compare Pseudo-FLIM to FLIM bi-exponential and phasor analyses of synthetic melanin, melanocytes/keratinocytes coculture and in vivo human skin. Using parameters of global 3D epidermal melanin density and z-epidermal distribution profile, we provide first insights into the in vivo knowledge of 3D melanin modulations with constitutive pigmentation versus ethnicity, with seasonality over 1 year and with topical application of retinoic acid or retinol on human skin. Applications of Pseudo-FLIM based melanin detection encompass physiological, pathological, or environmental factors-induced pigmentation modulations up to whitening, anti-photoaging, or photoprotection products evaluation.
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Affiliation(s)
- Ana-Maria Pena
- L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, BP22, 93601, Aulnay-sous-Bois, France.
| | | | - Sébastien Brizion
- L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, BP22, 93601, Aulnay-sous-Bois, France
| | - Peggy Sextius
- L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, BP22, 93601, Aulnay-sous-Bois, France
| | - Serge Koudoro
- MINES ParisTech - PSL Research University, Fontainebleau, France
| | - Thérèse Baldeweck
- L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, BP22, 93601, Aulnay-sous-Bois, France
| | - Emmanuelle Tancrède-Bohin
- L'Oréal Research and Innovation, Campus Charles Zviak RIO, 9 rue Pierre Dreyfus, Clichy, France
- Service de Dermatologie, Hôpital Saint-Louis, Paris, France
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17
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Linear Combination Properties of the Phasor Space in Fluorescence Imaging. SENSORS 2022; 22:s22030999. [PMID: 35161742 PMCID: PMC8840623 DOI: 10.3390/s22030999] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/15/2022] [Accepted: 01/20/2022] [Indexed: 12/16/2022]
Abstract
The phasor approach to fluorescence lifetime imaging, and more recently hyperspectral fluorescence imaging, has increased the use of these techniques, and improved the ease and intuitiveness of the data analysis. The fit-free nature of the phasor plots increases the speed of the analysis and reduces the dimensionality, optimization of data handling and storage. The reciprocity principle between the real and imaginary space-where the phasor and the pixel that the phasor originated from are linked and can be converted from one another-has helped the expansion of this method. The phasor coordinates calculated from a pixel, where multiple fluorescent species are present, depends on the phasor positions of those components. The relative positions are governed by the linear combination properties of the phasor space. According to this principle, the phasor position of a pixel with multiple components lies inside the polygon whose vertices are occupied by the phasor positions of these individual components and the distance between the image phasor to any of the vertices is inversely proportional to the fractional intensity contribution of that component to the total fluorescence from that image pixel. The higher the fractional intensity contribution of a vertex, the closer is the resultant phasor. The linear additivity in the phasor space can be exploited to obtain the fractional intensity contribution from multiple species and quantify their contribution. This review details the various mathematical models that can be used to obtain two/three/four components from phasor space with known phasor signatures and then how to obtain both the fractional intensities and phasor positions without any prior knowledge of either, assuming they are mono-exponential in nature. We note that other than for blind components, there are no restrictions on the type of the decay or their phasor positions for linear combinations to be valid-and they are applicable to complicated fluorescence lifetime decays from components with intensity decays described by multi-exponentials.
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18
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Vu T, Vallmitjana A, Gu J, La K, Xu Q, Flores J, Zimak J, Shiu J, Hosohama L, Wu J, Douglas C, Waterman ML, Ganesan A, Hedde PN, Gratton E, Zhao W. Spatial transcriptomics using combinatorial fluorescence spectral and lifetime encoding, imaging and analysis. Nat Commun 2022; 13:169. [PMID: 35013281 PMCID: PMC8748653 DOI: 10.1038/s41467-021-27798-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 12/15/2021] [Indexed: 12/14/2022] Open
Abstract
Multiplexed mRNA profiling in the spatial context provides new information enabling basic research and clinical applications. Unfortunately, existing spatial transcriptomics methods are limited due to either low multiplexing or complexity. Here, we introduce a spatialomics technology, termed Multi Omic Single-scan Assay with Integrated Combinatorial Analysis (MOSAICA), that integrates in situ labeling of mRNA and protein markers in cells or tissues with combinatorial fluorescence spectral and lifetime encoded probes, spectral and time-resolved fluorescence imaging, and machine learning-based decoding. We demonstrate MOSAICA's multiplexing scalability in detecting 10-plex targets in fixed colorectal cancer cells using combinatorial labeling of five fluorophores with facile error-detection and removal of autofluorescence. MOSAICA's analysis is strongly correlated with sequencing data (Pearson's r = 0.96) and was further benchmarked using RNAscopeTM and LGC StellarisTM. We further apply MOSAICA for multiplexed analysis of clinical melanoma Formalin-Fixed Paraffin-Embedded (FFPE) tissues. We finally demonstrate simultaneous co-detection of protein and mRNA in cancer cells.
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Affiliation(s)
- Tam Vu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, 92697, USA
| | - Alexander Vallmitjana
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
- Laboratory for Fluorescence Dynamics, University of California, Irvine, Irvine, CA, 92697, USA
| | - Joshua Gu
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, 92697, USA
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, 92697, USA
| | - Kieu La
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
| | - Qi Xu
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA
| | - Jesus Flores
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, 92697, USA
- CIRM Stem Cell Research Biotechnology Training Program at California State University, Long Beach, Long Beach, CA, 90840, USA
| | - Jan Zimak
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, 92697, USA
| | - Jessica Shiu
- Department of Dermatology, University of California, Irvine, Irvine, CA, 92697, USA
| | - Linzi Hosohama
- Department of Microbiology and Molecular Genetics, University of California, Irvine, Irvine, CA, 92697, USA
| | - Jie Wu
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, 92697, USA
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, 92697, USA
| | - Christopher Douglas
- Department of Pathology & Laboratory Medicine, University of California, Irvine, Irvine, CA, 92617, USA
| | - Marian L Waterman
- Department of Microbiology and Molecular Genetics, University of California, Irvine, Irvine, CA, 92697, USA
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, 92697, USA
| | - Anand Ganesan
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, 92697, USA
- Department of Dermatology, University of California, Irvine, Irvine, CA, 92697, USA
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, 92697, USA
| | - Per Niklas Hedde
- Laboratory for Fluorescence Dynamics, University of California, Irvine, Irvine, CA, 92697, USA
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, 92697, USA
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, Irvine, CA, 92697, USA
| | - Enrico Gratton
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA.
- Laboratory for Fluorescence Dynamics, University of California, Irvine, Irvine, CA, 92697, USA.
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, Irvine, CA, 92697, USA.
| | - Weian Zhao
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, 92697, USA.
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA, 92697, USA.
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA, 92697, USA.
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, CA, 92697, USA.
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, 92697, USA.
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19
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Liggett JR, Kang J, Ranjit S, Rodriguez O, Loh K, Patil D, Cui Y, Duttargi A, Nguyen S, He B, Lee Y, Oza K, Frank BS, Kwon D, Li HH, Kallakury B, Libby A, Levi M, Robson SC, Fishbein TM, Cui W, Albanese C, Khan K, Kroemer A. Oral N-acetylcysteine decreases IFN-γ production and ameliorates ischemia-reperfusion injury in steatotic livers. Front Immunol 2022; 13:898799. [PMID: 36148239 PMCID: PMC9486542 DOI: 10.3389/fimmu.2022.898799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/11/2022] [Indexed: 12/05/2022] Open
Abstract
Type 1 Natural Killer T-cells (NKT1 cells) play a critical role in mediating hepatic ischemia-reperfusion injury (IRI). Although hepatic steatosis is a major risk factor for preservation type injury, how NKT cells impact this is understudied. Given NKT1 cell activation by phospholipid ligands recognized presented by CD1d, we hypothesized that NKT1 cells are key modulators of hepatic IRI because of the increased frequency of activating ligands in the setting of hepatic steatosis. We first demonstrate that IRI is exacerbated by a high-fat diet (HFD) in experimental murine models of warm partial ischemia. This is evident in the evaluation of ALT levels and Phasor-Fluorescence Lifetime (Phasor-FLIM) Imaging for glycolytic stress. Polychromatic flow cytometry identified pronounced increases in CD45+CD3+NK1.1+NKT1 cells in HFD fed mice when compared to mice fed a normal diet (ND). This observation is further extended to IRI, measuring ex vivo cytokine expression in the HFD and ND. Much higher interferon-gamma (IFN-γ) expression is noted in the HFD mice after IRI. We further tested our hypothesis by performing a lipidomic analysis of hepatic tissue and compared this to Phasor-FLIM imaging using "long lifetime species", a byproduct of lipid oxidation. There are higher levels of triacylglycerols and phospholipids in HFD mice. Since N-acetylcysteine (NAC) is able to limit hepatic steatosis, we tested how oral NAC supplementation in HFD mice impacted IRI. Interestingly, oral NAC supplementation in HFD mice results in improved hepatic enhancement using contrast-enhanced magnetic resonance imaging (MRI) compared to HFD control mice and normalization of glycolysis demonstrated by Phasor-FLIM imaging. This correlated with improved biochemical serum levels and a decrease in IFN-γ expression at a tissue level and from CD45+CD3+CD1d+ cells. Lipidomic evaluation of tissue in the HFD+NAC mice demonstrated a drastic decrease in triacylglycerol, suggesting downregulation of the PPAR-γ pathway.
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Affiliation(s)
- Jedson R Liggett
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States.,Department of Surgery, Naval Medical Center Portsmouth, Portsmouth, VA, United States
| | - Jiman Kang
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States
| | - Suman Ranjit
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States.,Microscopy & Imaging Shared Resource, Georgetown University, Washington, DC, United States
| | - Olga Rodriguez
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States.,Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Katrina Loh
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Digvijay Patil
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Yuki Cui
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Anju Duttargi
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Sang Nguyen
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States
| | - Britney He
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States
| | - Yichien Lee
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States.,Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Kesha Oza
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Brett S Frank
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - DongHyang Kwon
- Department of Pathology, MedStar Georgetown University Hospital, Washington, DC, United States
| | - Heng-Hong Li
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Bhaskar Kallakury
- Department of Pathology, MedStar Georgetown University Hospital, Washington, DC, United States
| | - Andrew Libby
- Division of Endocrinology, Metabolism, & Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Moshe Levi
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States
| | - Simon C Robson
- Departments of Anesthesiology and Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Thomas M Fishbein
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Wanxing Cui
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States
| | - Chris Albanese
- Center for Translational Imaging, Georgetown University Medical Center, Washington, DC, United States.,Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States.,Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, United States
| | - Khalid Khan
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
| | - Alexander Kroemer
- MedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, DC, United States
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20
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Frei MS, Tarnawski M, Roberti MJ, Koch B, Hiblot J, Johnsson K. Engineered HaloTag variants for fluorescence lifetime multiplexing. Nat Methods 2022; 19:65-70. [PMID: 34916672 PMCID: PMC8748199 DOI: 10.1038/s41592-021-01341-x] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 11/02/2021] [Indexed: 12/03/2022]
Abstract
Self-labeling protein tags such as HaloTag are powerful tools that can label fusion proteins with synthetic fluorophores for use in fluorescence microscopy. Here we introduce HaloTag variants with either increased or decreased brightness and fluorescence lifetime compared with HaloTag7 when labeled with rhodamines. Combining these HaloTag variants enabled live-cell fluorescence lifetime multiplexing of three cellular targets in one spectral channel using a single fluorophore and the generation of a fluorescence lifetime-based biosensor. Additionally, the brightest HaloTag variant showed up to 40% higher brightness in live-cell imaging applications.
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Affiliation(s)
- Michelle S Frei
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany
- Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Miroslaw Tarnawski
- Protein Expression and Characterization Facility, Max Planck Institute for Medical Research, Heidelberg, Germany
| | | | - Birgit Koch
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Julien Hiblot
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Kai Johnsson
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany.
- Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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21
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Pham DL, Miller CR, Myers MS, Myers DM, Hansen LA, Nichols MG. Development and characterization of phasor-based analysis for FLIM to evaluate the metabolic and epigenetic impact of HER2 inhibition on squamous cell carcinoma cultures. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210187R. [PMID: 34628733 PMCID: PMC8501457 DOI: 10.1117/1.jbo.26.10.106501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
SIGNIFICANCE Deranged metabolism and dysregulated growth factor signaling are closely associated with abnormal levels of proliferation, a recognized hallmark in tumorigenesis. Fluorescence lifetime imaging microscopy (FLIM) of endogenous nicotinamide adenine dinucleotide (NADH), a key metabolic coenzyme, offers a non-invasive, diagnostic indicator of disease progression, and treatment response. The model-independent phasor analysis approach leverages FLIM to rapidly evaluate cancer metabolism in response to targeted therapy. AIM We combined lifetime and phasor FLIM analysis to evaluate the influence of human epidermal growth factor receptor 2 (HER2) inhibition, a prevalent cancer biomarker, on both nuclear and cytoplasmic NAD(P)H of two squamous cell carcinoma (SCC) cultures. While better established, the standard lifetime analysis approach is relatively slow and potentially subject to intrinsic fitting errors and model assumptions. Phasor FLIM analysis offers a rapid, model-independent alternative, but the sensitivity of the bound NAD(P)H fraction to growth factor signaling must also be firmly established. APPROACH Two SCC cultures with low- and high-HER2 expression, were imaged using multiphoton-excited NAD(P)H FLIM, with and without treatment of the HER2 inhibitor AG825. Cells were challenged with mitochondrial inhibition and uncoupling to investigate AG825's impact on the overall metabolic capacity. Phasor FLIM and lifetime fitting analyses were compared within nuclear and cytoplasmic compartments to investigate epigenetic and metabolic impacts of HER2 inhibition. RESULTS NAD(P)H fluorescence lifetime and bound fraction consistently decreased following HER2 inhibition in both cell lines. High-HER2 SCC74B cells displayed a more significant response than low-HER2 SCC74A in both techniques. HER2 inhibition induced greater changes in nuclear than cytoplasmic compartments, leading to an increase in NAD(P)H intensity and concentration. CONCLUSIONS The use of both, complementary FLIM analysis techniques together with quantitative fluorescence intensity revealed consistent, quantitative changes in NAD(P)H metabolism associated with inhibition of growth factor signaling in SCC cell lines. HER2 inhibition promoted increased reliance on oxidative phosphorylation in both cell lines.
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Affiliation(s)
- Dan L. Pham
- Creighton University, Department of Physics, Omaha, Nebraska, United States
| | | | - Molly S. Myers
- Creighton University, Department of Physics, Omaha, Nebraska, United States
| | - Dominick M. Myers
- Creighton University, Department of Biomedical Sciences, Omaha, Nebraska, United States
| | - Laura A. Hansen
- Creighton University, Department of Biomedical Sciences, Omaha, Nebraska, United States
| | - Michael G. Nichols
- Creighton University, Department of Physics, Omaha, Nebraska, United States
- Creighton University, Department of Biomedical Sciences, Omaha, Nebraska, United States
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22
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Oasa S, Krmpot AJ, Nikolić SN, Clayton AHA, Tsigelny IF, Changeux JP, Terenius L, Rigler R, Vukojević V. Dynamic Cellular Cartography: Mapping the Local Determinants of Oligodendrocyte Transcription Factor 2 (OLIG2) Function in Live Cells Using Massively Parallel Fluorescence Correlation Spectroscopy Integrated with Fluorescence Lifetime Imaging Microscopy (mpFCS/FLIM). Anal Chem 2021; 93:12011-12021. [PMID: 34428029 PMCID: PMC8427561 DOI: 10.1021/acs.analchem.1c02144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
Compartmentalization
and integration of molecular
processes through diffusion are basic mechanisms through which cells
perform biological functions. To characterize these mechanisms in
live cells, quantitative and ultrasensitive analytical methods with
high spatial and temporal resolution are needed. Here, we present
quantitative scanning-free confocal microscopy with single-molecule
sensitivity, high temporal resolution (∼10 μs/frame),
and fluorescence lifetime imaging capacity, developed by integrating
massively parallel fluorescence correlation spectroscopy with fluorescence
lifetime imaging microscopy (mpFCS/FLIM); we validate the method,
use it to map in live cell location-specific variations in the concentration,
diffusion, homodimerization, DNA binding, and local environment of
the oligodendrocyte transcription factor 2 fused with the enhanced
Green Fluorescent Protein (OLIG2-eGFP), and characterize the effects
of an allosteric inhibitor of OLIG2 dimerization on these determinants
of OLIG2 function. In particular, we show that cytoplasmic OLIG2-eGFP
is largely monomeric and freely diffusing, with the fraction of freely
diffusing OLIG2-eGFP molecules being fD,freecyt = (0.75
± 0.10) and the diffusion time τD,freecyt = (0.5 ± 0.3) ms. In contrast,
OLIG2-eGFP homodimers are abundant in the cell nucleus, constituting
∼25% of the nuclear pool, some fD,boundnuc = (0.65
± 0.10) of nuclear OLIG2-eGFP is bound to chromatin DNA, whereas
freely moving OLIG2-eGFP molecules diffuse at the same rate as those
in the cytoplasm, as evident from the lateral diffusion times τD,freenuc = τD,freecyt = (0.5
± 0.3) ms. OLIG2-eGFP interactions with chromatin DNA, revealed
through their influence on the apparent diffusion behavior of OLIG2-eGFP,
τD,boundnuc (850 ± 500) ms, are characterized by an apparent dissociation
constant Kd,appOLIG2-DNA = (45 ± 30) nM. The apparent
dissociation constant of OLIG2-eGFP homodimers was estimated to be Kd,app(OLIG2-eGFP)2 ≈ 560 nM. The allosteric inhibitor of OLIG2 dimerization,
compound NSC 50467, neither affects OLIG2-eGFP properties in the cytoplasm
nor does it alter the overall cytoplasmic environment. In contrast,
it significantly impedes OLIG2-eGFP homodimerization in the cell nucleus,
increasing five-fold the apparent dissociation constant, Kd,app,NSC50467(OLIG2-eGFP)2 ≈ 3 μM, thus reducing homodimer levels to below 7%
and effectively abolishing OLIG2-eGFP specific binding to chromatin
DNA. The mpFCS/FLIM methodology has a myriad of applications in biomedical
research and pharmaceutical industry. For example, it is indispensable
for understanding how biological functions emerge through the dynamic
integration of location-specific molecular processes and invaluable
for drug development, as it allows us to quantitatively characterize
the interactions of drugs with drug targets in live cells.
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Affiliation(s)
- Sho Oasa
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden
| | - Aleksandar J Krmpot
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden.,Institute of Physics Belgrade, University of Belgrade, 11080 Belgrade, Serbia
| | - Stanko N Nikolić
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden.,Institute of Physics Belgrade, University of Belgrade, 11080 Belgrade, Serbia
| | - Andrew H A Clayton
- Optical Sciences Centre, Department of Physics and Astronomy, School of Science, Swinburne University of Technology, Melbourne, Victoria 3122, Australia
| | - Igor F Tsigelny
- Department of Neurosciences, University of California San Diego, La Jolla, California 92093-0819, United States
| | - Jean-Pierre Changeux
- Department of Neuroscience, Unité Neurobiologie Intégrative des Systèmes Cholinergiques, Institut Pasteur, F-75724 Paris 15, France
| | - Lars Terenius
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden
| | - Rudolf Rigler
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden.,Department of Medical Biochemistry and Biophysics (MBB), Karolinska Institutet, 17177 Stockholm, Sweden
| | - Vladana Vukojević
- Department of Clinical Neuroscience (CNS), Center for Molecular Medicine (CMM), Karolinska Institutet, 17176 Stockholm, Sweden
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23
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Hedde PN, Cinco R, Malacrida L, Kamaid A, Gratton E. Phasor-based hyperspectral snapshot microscopy allows fast imaging of live, three-dimensional tissues for biomedical applications. Commun Biol 2021; 4:721. [PMID: 34117344 PMCID: PMC8195998 DOI: 10.1038/s42003-021-02266-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/26/2021] [Indexed: 01/31/2023] Open
Abstract
Hyperspectral imaging is highly sought after in many fields including mineralogy and geology, environment and agriculture, astronomy and, importantly, biomedical imaging and biological fluorescence. We developed ultrafast phasor-based hyperspectral snapshot microscopy based on sine/cosine interference filters for biomedical imaging not feasible with conventional hyperspectral detection methods. Current approaches rely on slow spatial or spectral scanning limiting their application in living biological tissues, while faster snapshot methods such as image mapping spectrometry and multispectral interferometry are limited in spatial and/or spectral resolution, are computationally demanding, and imaging devices are very expensive to manufacture. Leveraging light sheet microscopy, phasor-based hyperspectral snapshot microscopy improved imaging speed 10-100 fold which, combined with minimal light exposure and high detection efficiency, enabled hyperspectral metabolic imaging of live, three-dimensional mouse tissues not feasible with other methods. As a fit-free method that does not require any a priori information often unavailable in complex and evolving biological systems, the rule of linear combinations of the phasor could spectrally resolve subtle differences between cell types in the developing zebrafish retina and spectrally separate and track multiple organelles in 3D cultured cells over time. The sine/cosine snapshot method is adaptable to any microscope or imaging device thus making hyperspectral imaging and fit-free analysis based on linear combinations broadly available to researchers and the public.
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Affiliation(s)
- Per Niklas Hedde
- Laboratory for Fluorescence Dynamics, University of California, Irvine, CA, USA.
- Department of Pharmaceutical Sciences, University of California, Irvine, CA, USA.
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, CA, USA.
| | - Rachel Cinco
- Laboratory for Fluorescence Dynamics, University of California, Irvine, CA, USA
| | - Leonel Malacrida
- Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
- Advanced Bioimaging Unit, Institut Pasteur of Montevideo and Universidad de la República, Montevideo, Uruguay
| | - Andrés Kamaid
- Advanced Bioimaging Unit, Institut Pasteur of Montevideo and Universidad de la República, Montevideo, Uruguay
| | - Enrico Gratton
- Laboratory for Fluorescence Dynamics, University of California, Irvine, CA, USA.
- Beckman Laser Institute & Medical Clinic, University of California, Irvine, CA, USA.
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24
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Ouyang Y, Liu Y, Wang ZM, Liu Z, Wu M. FLIM as a Promising Tool for Cancer Diagnosis and Treatment Monitoring. NANO-MICRO LETTERS 2021; 13:133. [PMID: 34138374 PMCID: PMC8175610 DOI: 10.1007/s40820-021-00653-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 04/19/2021] [Indexed: 05/04/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) has been rapidly developed over the past 30 years and widely applied in biomedical engineering. Recent progress in fluorophore-dyed probe design has widened the application prospects of fluorescence. Because fluorescence lifetime is sensitive to microenvironments and molecule alterations, FLIM is promising for the detection of pathological conditions. Current cancer-related FLIM applications can be divided into three main categories: (i) FLIM with autofluorescence molecules in or out of a cell, especially with reduced form of nicotinamide adenine dinucleotide, and flavin adenine dinucleotide for cellular metabolism research; (ii) FLIM with Förster resonance energy transfer for monitoring protein interactions; and (iii) FLIM with fluorophore-dyed probes for specific aberration detection. Advancements in nanomaterial production and efficient calculation systems, as well as novel cancer biomarker discoveries, have promoted FLIM optimization, offering more opportunities for medical research and applications to cancer diagnosis and treatment monitoring. This review summarizes cutting-edge researches from 2015 to 2020 on cancer-related FLIM applications and the potential of FLIM for future cancer diagnosis methods and anti-cancer therapy development. We also highlight current challenges and provide perspectives for further investigation.
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Affiliation(s)
- Yuzhen Ouyang
- Hunan Provincial Tumor Hospital and the Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, 410013, Hunan, People's Republic of China
- School of Physics and Electronics, Hunan Key Laboratory for Super-Microstructure and Ultrafast Process, Central South University, 932 South Lushan Road, Changsha, 410083, Hunan, People's Republic of China
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Yanping Liu
- School of Physics and Electronics, Hunan Key Laboratory for Super-Microstructure and Ultrafast Process, Central South University, 932 South Lushan Road, Changsha, 410083, Hunan, People's Republic of China.
- Shenzhen Research Institute of Central South University, A510a, Virtual University Building, Nanshan District, Southern District, High-tech Industrial Park, Yuehai Street, Shenzhen, People's Republic of China.
- State Key Laboratory of High-Performance Complex Manufacturing, Central South University, 932 South Lushan Road, Changsha, 410083, Hunan, People's Republic of China.
| | - Zhiming M Wang
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, People's Republic of China
| | - Zongwen Liu
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Minghua Wu
- Hunan Provincial Tumor Hospital and the Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, 410013, Hunan, People's Republic of China.
- School of Physics and Electronics, Hunan Key Laboratory for Super-Microstructure and Ultrafast Process, Central South University, 932 South Lushan Road, Changsha, 410083, Hunan, People's Republic of China.
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25
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Malacrida L, Ranjit S, Jameson DM, Gratton E. The Phasor Plot: A Universal Circle to Advance Fluorescence Lifetime Analysis and Interpretation. Annu Rev Biophys 2021; 50:575-593. [PMID: 33957055 DOI: 10.1146/annurev-biophys-062920-063631] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The phasor approach to fluorescence lifetime imaging has become a common method to analyze complicated fluorescence signals from biological samples. The appeal of the phasor representation of complex fluorescence decays in biological systems is that a visual representation of the decay of entire cells or tissues can be used to easily interpret fundamental biological states related to metabolism and oxidative stress. Phenotyping based on autofluorescence provides new avenues for disease characterization and diagnostics. The phasor approach is a transformation of complex fluorescence decays that does not use fits to model decays and therefore has the same information content as the original data. The phasor plot is unique for a given system, is highly reproducible, and provides a robust method to evaluate the existence of molecular interactions such as Förster resonance energy transfer or the response of ion indicators. Recent advances permitquantification of multiple components from phasor plots in fluorescence lifetime imaging microscopy, which is not presently possible using data fitting methods, especially in biological systems.
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Affiliation(s)
- Leonel Malacrida
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California 92697, USA; .,Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, 11600 Montevideo, Uruguay.,Advanced Bioimaging Unit, Institut Pasteur Montevideo and Universidad de la República-Uruguay, 11400 Montevideo, Uruguay
| | - Suman Ranjit
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California 92697, USA; .,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC 20057, USA
| | - David M Jameson
- Department of Cell and Molecular Biology, University of Hawaii at Manoa, Honolulu, Hawaii 96813, USA
| | - Enrico Gratton
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California 92697, USA;
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26
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Phasor S-FLIM: a new paradigm for fast and robust spectral fluorescence lifetime imaging. Nat Methods 2021; 18:542-550. [PMID: 33859440 PMCID: PMC10161785 DOI: 10.1038/s41592-021-01108-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 03/03/2021] [Indexed: 02/02/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) and spectral imaging are two broadly applied methods for increasing dimensionality in microscopy. However, their combination is typically inefficient and slow in terms of acquisition and processing. By integrating technological and computational advances, we developed a robust and unbiased spectral FLIM (S-FLIM) system. Our method, Phasor S-FLIM, combines true parallel multichannel digital frequency domain electronics with a multidimensional phasor approach to extract detailed and precise information about the photophysics of fluorescent specimens at optical resolution. To show the flexibility of the Phasor S-FLIM technology and its applications to the biological and biomedical field, we address four common, yet challenging, problems: the blind unmixing of spectral and lifetime signatures from multiple unknown species, the unbiased bleedthrough- and background-free Förster resonance energy transfer analysis of biosensors, the photophysical characterization of environment-sensitive probes in living cells and parallel four-color FLIM imaging in tumor spheroids.
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27
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Michalet X. Continuous and discrete phasor analysis of binned or time-gated periodic decays. AIP ADVANCES 2021; 11:035331. [PMID: 33786208 PMCID: PMC7990508 DOI: 10.1063/5.0027834] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 01/22/2021] [Indexed: 05/29/2023]
Abstract
The time-resolved analysis of periodically excited luminescence decays by the phasor method in the presence of time-gating or binning is revisited. Analytical expressions for discrete configurations of square gates are derived, and the locus of the phasors of such modified periodic single-exponential decays is compared to the canonical universal semicircle. The effects of instrument response function offset, decay truncation, and gate shape are also discussed. Finally, modified expressions for the phase and modulus lifetimes are provided for some simple cases. A discussion of a modified phasor calibration approach is presented, and an illustration of the new concepts with examples from the literature concludes this work.
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Affiliation(s)
- Xavier Michalet
- Department of Chemistry and Biochemistry, 607 Charles E. Young Drive E., Los Angeles, California 90095, USA
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28
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Vallmitjana A, Torrado B, Dvornikov A, Ranjit S, Gratton E. Blind Resolution of Lifetime Components in Individual Pixels of Fluorescence Lifetime Images Using the Phasor Approach. J Phys Chem B 2020; 124:10126-10137. [PMID: 33140960 PMCID: PMC9272785 DOI: 10.1021/acs.jpcb.0c06946] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The phasor approach is used in fluorescence lifetime imaging microscopy for several purposes, notably to calculate the metabolic index of single cells and tissues. An important feature of the phasor approach is that it is a fit-free method allowing immediate and easy to interpret analysis of images. In a recent paper, we showed that three or four intensity fractions of exponential components can be resolved in each pixel of an image by the phasor approach using simple algebra, provided the component phasors are known. This method only makes use of the rule of linear combination of phasors rather than fits. Without prior knowledge of the components and their single exponential decay times, resolution of components and fractions is much more challenging. Blind decomposition has been carried out only for cuvette experiments wherein the statistics in terms of the number of photons collected is very good. In this paper, we show that using the phasor approach and measurements of the decay at phasor harmonics 2 and 3, available using modern electronics, we could resolve the decay in each pixel of an image in live cells or mice liver tissues with two or more exponential components without prior knowledge of the values of the components. In this paper, blind decomposition is achieved using a graphical method for two components and a minimization method for three components. This specific use of the phasor approach to resolve multicomponents in a pixel enables applications where multiplexing species with different lifetimes and potentially different spectra can provide a different type of super-resolved image content.
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Affiliation(s)
- Alexander Vallmitjana
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California
| | - Belén Torrado
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California
| | - Alexander Dvornikov
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California
| | - Suman Ranjit
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington D.C
| | - Enrico Gratton
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, California
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29
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Franssen WMJ, Vergeldt FJ, Bader AN, van Amerongen H, Terenzi C. Full-Harmonics Phasor Analysis: Unravelling Multiexponential Trends in Magnetic Resonance Imaging Data. J Phys Chem Lett 2020; 11:9152-9158. [PMID: 33053305 PMCID: PMC7649845 DOI: 10.1021/acs.jpclett.0c02319] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Phasor analysis is a robust, nonfitting, method for the study of multiexponential decays in lifetime imaging data, routinely used in Fluorescence Lifetime Imaging Microscopy (FLIM) and only recently validated for Magnetic Resonance Imaging (MRI). In the established phasor approach, typically only the first Fourier harmonic is used to unravel time-domain exponential trends and their intercorrelations across image voxels. Here, we demonstrate the potential of full-harmonics (FH) phasor analysis by using all frequency-domain data points in simulations and quantitative MRI (qMRI) T2 measurements of phantoms with bulk liquids or liquid-filled porous particles and of a human brain. We show that FH analysis, while of limited advantage in FLIM due to the correlated nature of shot noise, in MRI outperforms single-harmonic phasor in unravelling multiple physical environments and partial-volume effects otherwise undiscernible. We foresee application of FH phasor to, e.g., big-data analysis in qMRI of biological or other multiphase systems, where multiparameter fitting is unfeasible.
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Affiliation(s)
- Wouter M. J. Franssen
- Laboratory
of Biophysics, Wageningen University &
Research, Wageningen 6708 WE, The Netherlands
| | - Frank J. Vergeldt
- Laboratory
of Biophysics, Wageningen University &
Research, Wageningen 6708 WE, The Netherlands
| | - Arjen N. Bader
- Laboratory
of Biophysics, Wageningen University &
Research, Wageningen 6708 WE, The Netherlands
- MicroSpectroscopy
Centre, Wageningen University & Research, Wageningen 6708 WE, The Netherlands
| | - Herbert van Amerongen
- Laboratory
of Biophysics, Wageningen University &
Research, Wageningen 6708 WE, The Netherlands
- MicroSpectroscopy
Centre, Wageningen University & Research, Wageningen 6708 WE, The Netherlands
| | - Camilla Terenzi
- Laboratory
of Biophysics, Wageningen University &
Research, Wageningen 6708 WE, The Netherlands
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