51
|
Chai L, Zhang J, Zhang L, Chen T. Miniature fiber optic spectrometer-based quantitative fluorescence resonance energy transfer measurement in single living cells. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:037008. [PMID: 25793494 DOI: 10.1117/1.jbo.20.3.037008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 02/16/2015] [Indexed: 05/05/2023]
Abstract
Spectral measurement of fluorescence resonance energy transfer (FRET), spFRET, is a widely used FRET quantification method in living cells today. We set up a spectrometer-microscope platform that consists of a miniature fiber optic spectrometer and a widefield fluorescence microscope for the spectral measurement of absolute FRET efficiency (E) and acceptor-to-donor concentration ratio (R(C)) in single living cells. The microscope was used for guiding cells and the spectra were simultaneously detected by the miniature fiber optic spectrometer. Moreover, our platform has independent excitation and emission controllers, so different excitations can share the same emission channel. In addition, we developed a modified spectral FRET quantification method (mlux-FRET) for the multiple donors and multiple acceptors FRET construct (mD∼nA) sample, and we also developed a spectra-based 2-channel acceptor-sensitized FRET quantification method (spE-FRET). We implemented these modified FRET quantification methods on our platform to measure the absolute E and R(C) values of tandem constructs with different acceptor/donor stoichiometries in single living Huh-7 cells.
Collapse
|
52
|
Mishra AK, Mavlyutov T, Singh DR, Biener G, Yang J, Oliver JA, Ruoho A, Raicu V. The sigma-1 receptors are present in monomeric and oligomeric forms in living cells in the presence and absence of ligands. Biochem J 2015; 466:263-271. [PMID: 25510962 PMCID: PMC4500508 DOI: 10.1042/bj20141321] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The sigma-1 receptor (S1R) is a 223-amino-acid membrane protein that resides in the endoplasmic reticulum and the plasma membrane of some mammalian cells. The S1R is regulated by various synthetic molecules including (+)-pentazocine, cocaine and haloperidol and endogenous molecules such as sphingosine, dimethyltryptamine and dehydroepiandrosterone. Ligand-regulated protein chaperone functions linked to oxidative stress and neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) and neuropathic pain have been attributed to the S1R. Several client proteins that interact with S1R have been identified including various types of ion channels and G-protein coupled receptors (GPCRs). When S1R constructs containing C-terminal monomeric GFP2 and YFP fusions were co-expressed in COS-7 cells and subjected to FRET spectrometry analysis, monomers, dimers and higher oligomeric forms of S1R were identified under non-liganded conditions. In the presence of the prototypic S1R agonist, (+)-pentazocine, however, monomers and dimers were the prevailing forms of S1R. The prototypic antagonist, haloperidol, on the other hand, favoured higher order S1R oligomers. These data, in sum, indicate that heterologously expressed S1Rs occur in vivo in COS-7 cells in multiple oligomeric forms and that S1R ligands alter these oligomeric structures. We suggest that the S1R oligomerization states may regulate its function(s).
Collapse
Affiliation(s)
- Ashish K. Mishra
- Physics Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
| | - Timur Mavlyutov
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI 53211, U.S.A
| | - Deo R. Singh
- Physics Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
| | - Gabriel Biener
- Physics Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
| | - Jay Yang
- Department of Anesthesiology, University of Wisconsin-Madison, Madison, WI 53211, U.S.A
| | - Julie A. Oliver
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
| | - Arnold Ruoho
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI 53211, U.S.A
| | - Valerică Raicu
- Physics Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, U.S.A
| |
Collapse
|
53
|
Flynn DC, Bhagwat AR, Brenner MH, Núñez MF, Mork BE, Cai D, Swanson JA, Ogilvie JP. Pulse-shaping based two-photon FRET stoichiometry. OPTICS EXPRESS 2015; 23:3353-72. [PMID: 25836193 PMCID: PMC4394757 DOI: 10.1364/oe.23.003353] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Revised: 01/09/2015] [Accepted: 01/13/2015] [Indexed: 06/04/2023]
Abstract
Förster Resonance Energy Transfer (FRET) based measurements that calculate the stoichiometry of intermolecular interactions in living cells have recently been demonstrated, where the technique utilizes selective one-photon excitation of donor and acceptor fluorophores to isolate the pure FRET signal. Here, we present work towards extending this FRET stoichiometry method to employ two-photon excitation using a pulse-shaping methodology. In pulse-shaping, frequency-dependent phases are applied to a broadband femtosecond laser pulse to tailor the two-photon excitation conditions to preferentially excite donor and acceptor fluorophores. We have also generalized the existing stoichiometry theory to account for additional cross-talk terms that are non-vanishing under two-photon excitation conditions. Using the generalized theory we demonstrate two-photon FRET stoichiometry in live COS-7 cells expressing fluorescent proteins mAmetrine as the donor and tdTomato as the acceptor.
Collapse
Affiliation(s)
- Daniel C. Flynn
- Macromolecular Science and Engineering, University of Michigan, 2300 Hayward St, Ann Arbor, MI 48109
USA
| | - Amar R. Bhagwat
- Department of Physics, University of Michigan, 450 Church St., Ann Arbor, MI 48109
USA
| | - Meredith H. Brenner
- Applied Physics Program, University of Michigan, 450 Church St., Ann Arbor, MI 48109
USA
| | - Marcos F. Núñez
- Biophysics Program, University of Michigan, 930 N. University Ave., Ann Arbor, MI 48109
USA
| | - Briana E. Mork
- Department of Physics, University of Michigan, 450 Church St., Ann Arbor, MI 48109
USA
| | - Dawen Cai
- Department of Microbiology and Immunology, University of Michigan Medical School, 1150 West Medical Center Drive, Ann Arbor, MI 48109
USA
- Department of Cell and Developmental Biology, University of Michigan Medical School, 109 Zina Pitcher Place, Ann Arbor, MI 48109
USA
| | - Joel A. Swanson
- Department of Microbiology and Immunology, University of Michigan Medical School, 1150 West Medical Center Drive, Ann Arbor, MI 48109
USA
| | - Jennifer P. Ogilvie
- Department of Physics, University of Michigan, 450 Church St., Ann Arbor, MI 48109
USA
| |
Collapse
|
54
|
Sun Y, Periasamy A. Localizing protein-protein interactions in living cells using fluorescence lifetime imaging microscopy. Methods Mol Biol 2015; 1251:83-107. [PMID: 25391796 DOI: 10.1007/978-1-4939-2080-8_6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
In the past decade, advances in fluorescence lifetime imaging have extensively applied in the life sciences, from fundamental biological investigations to advanced clinical diagnosis. Fluorescence lifetime imaging microscopy (FLIM) is now routinely used in the biological sciences to monitor dynamic signaling events inside living cells, e.g., Protein-Protein interactions. In this chapter, we describe the calibration of both time-correlated single-photon counting (TCSPC) and frequency domain (FD) FLIM systems and the acquisition and analysis of FLIM-FRET data for investigating Protein-Protein interactions in living cells.
Collapse
Affiliation(s)
- Yuansheng Sun
- W.M. Keck Center for Cellular Imaging, Biology, University of Virginia, B005 Physical and Life Sciences Building, White Head Road, Charlottesville, VA, 22904, USA
| | | |
Collapse
|
55
|
Ma L, Yang F, Zheng J. Application of fluorescence resonance energy transfer in protein studies. J Mol Struct 2014; 1077:87-100. [PMID: 25368432 DOI: 10.1016/j.molstruc.2013.12.071] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Since the physical process of fluorescence resonance energy transfer (FRET) was elucidated more than six decades ago, this peculiar fluorescence phenomenon has turned into a powerful tool for biomedical research due to its compatibility in scale with biological molecules as well as rapid developments in novel fluorophores and optical detection techniques. A wide variety of FRET approaches have been devised, each with its own advantages and drawbacks. Especially in the last decade or so, we are witnessing a flourish of FRET applications in biological investigations, many of which exemplify clever experimental design and rigorous analysis. Here we review the current stage of FRET methods development with the main focus on its applications in protein studies in biological systems, by summarizing the basic components of FRET techniques, most established quantification methods, as well as potential pitfalls, illustrated by example applications.
Collapse
Affiliation(s)
- Linlin Ma
- Department of Physiology and Membrane Biology, University of California School of Medicine, Davis, CA 95616, USA ; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Fan Yang
- Department of Physiology and Membrane Biology, University of California School of Medicine, Davis, CA 95616, USA
| | - Jie Zheng
- Department of Physiology and Membrane Biology, University of California School of Medicine, Davis, CA 95616, USA
| |
Collapse
|
56
|
Zhang J, Li H, Chai L, Zhang L, Qu J, Chen T. Quantitative FRET measurement using emission-spectral unmixing with independent excitation crosstalk correction. J Microsc 2014; 257:104-16. [PMID: 25354559 DOI: 10.1111/jmi.12189] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Accepted: 09/20/2014] [Indexed: 11/26/2022]
Abstract
Quantification of fluorescence resonance energy transfer (FRET) needs at least two external samples, an acceptor-only reference and a linked FRET reference, to calibrate fluorescence signal. Furthermore, all measurements for references and FRET samples must be performed under the same instrumental conditions. Based on a novel notion to predetermine the molar extinction coefficient ratio (RC ) of acceptor-to-donor for the correction of acceptor excitation crosstalk, we present here a robust and independent emission-spectral unmixing FRET methodology, Iem-spFRET, which can simultaneously measure the E and RC of FRET sample without any external references, such that Iem-spFRET circumvents the rigorous restriction of keeping the same imaging conditions for all FRET experiments and thus can be used for the direct measurement of FRET sample. We validate Iem-spFRET by measuring the absolute E and RC values of standard constructs with different acceptor-to-donor stoichiometry expressed in living cells. Our results demonstrate that Iem-spFRET is a simple and powerful tool for real-time monitoring the dynamic intermolecular interaction within single living cells.
Collapse
Affiliation(s)
- J Zhang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | | | | | | | | | | |
Collapse
|
57
|
Thunemann M, Schmidt K, de Wit C, Han X, Jain RK, Fukumura D, Feil R. Correlative intravital imaging of cGMP signals and vasodilation in mice. Front Physiol 2014; 5:394. [PMID: 25352809 PMCID: PMC4196583 DOI: 10.3389/fphys.2014.00394] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 09/23/2014] [Indexed: 01/09/2023] Open
Abstract
Cyclic guanosine monophosphate (cGMP) is an important signaling molecule and drug target in the cardiovascular system. It is well known that stimulation of the vascular nitric oxide (NO)-cGMP pathway results in vasodilation. However, the spatiotemporal dynamics of cGMP signals themselves and the cGMP concentrations within specific cardiovascular cell types in health, disease, and during pharmacotherapy with cGMP-elevating drugs are largely unknown. To facilitate the analysis of cGMP signaling in vivo, we have generated transgenic mice that express fluorescence resonance energy transfer (FRET)-based cGMP sensor proteins. Here, we describe two models of intravital FRET/cGMP imaging in the vasculature of cGMP sensor mice: (1) epifluorescence-based ratio imaging in resistance-type vessels of the cremaster muscle and (2) ratio imaging by multiphoton microscopy within the walls of subcutaneous blood vessels accessed through a dorsal skinfold chamber. Both methods allow simultaneous monitoring of NO-induced cGMP transients and vasodilation in living mice. Detailed protocols of all steps necessary to perform and evaluate intravital imaging experiments of the vasculature of anesthetized mice including surgery, imaging, and data evaluation are provided. An image segmentation approach is described to estimate FRET/cGMP changes within moving structures such as the vessel wall during vasodilation. The methods presented herein should be useful to visualize cGMP or other biochemical signals that are detectable with FRET-based biosensors, such as cyclic adenosine monophosphate or Ca2+, and to correlate them with respective vascular responses. With further refinement and combination of transgenic mouse models and intravital imaging technologies, we envision an exciting future, in which we are able to “watch” biochemistry, (patho-)physiology, and pharmacotherapy in the context of a living mammalian organism.
Collapse
Affiliation(s)
- Martin Thunemann
- Interfakultäres Institut für Biochemie, University of Tübingen Tübingen, Germany
| | | | - Cor de Wit
- Institut für Physiologie, Universität zu Lübeck Lübeck, Germany
| | - Xiaoxing Han
- Edwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA
| | - Rakesh K Jain
- Edwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA
| | - Dai Fukumura
- Edwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA
| | - Robert Feil
- Interfakultäres Institut für Biochemie, University of Tübingen Tübingen, Germany
| |
Collapse
|
58
|
Spectral measurement of acceptor-to-donor extinction coefficient ratio in living cells. Micron 2014; 68:98-106. [PMID: 25464147 DOI: 10.1016/j.micron.2014.09.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 08/06/2014] [Accepted: 09/24/2014] [Indexed: 01/16/2023]
Abstract
This report presents a simple method named as sp-ECR to determine the molar extinction coefficient ratio (γ(λex)) of acceptor-to-donor in living cells at excitation wavelength λex, which is closely associated with the acceptor cross-excitation, the hardest issue of FRET quantification. sp-ECR determines γ(λex) by spectrally unmixing the emission spectrum of a donor-acceptor tandem construct under λex excitation without any additional references, such that this method can be performed under optimal imaging condition. We used sp-ECR to measure the γ(458) of Venus/Cerulean in living HepG2 cells on a confocal microscope, and the measured values were consistent with those obtained by lux-FRET method. We also used sp-ECR to measure the γ(458) values of Venus/Cerulean and YFP/CFP as well as YFP/GFP, the commonly used FRET FPs pairs in other two kinds of cancer cell lines on the confocal microscope, and found that the extinction coefficients of FPs depended on cell lines. After predetermining the γ(458) of Venus to ECFP, we used sp-ECR method to monitor the staurosporine (STS)-induced dynamical caspase-3 activation in single live A549 cells expressing SCAT3 by spectrally resolving the absolute FRET efficiency of SCAT3, and found that STS-induced caspase-3 activation in single cells is a very rapid process within 20 min.
Collapse
|
59
|
Choi H, Wadduwage D, Matsudaira PT, So PT. Depth resolved hyperspectral imaging spectrometer based on structured light illumination and Fourier transform interferometry. BIOMEDICAL OPTICS EXPRESS 2014; 5:3494-507. [PMID: 25360367 PMCID: PMC4206319 DOI: 10.1364/boe.5.003494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 08/22/2014] [Indexed: 06/04/2023]
Abstract
A depth resolved hyperspectral imaging spectrometer can provide depth resolved imaging both in the spatial and the spectral domain. Images acquired through a standard imaging Fourier transform spectrometer do not have the depth-resolution. By post processing the spectral cubes (x, y, λ) obtained through a Sagnac interferometer under uniform illumination and structured illumination, spectrally resolved images with depth resolution can be recovered using structured light illumination algorithms such as the HiLo method. The proposed scheme is validated with in vitro specimens including fluorescent solution and fluorescent beads with known spectra. The system is further demonstrated in quantifying spectra from 3D resolved features in biological specimens. The system has demonstrated depth resolution of 1.8 μm and spectral resolution of 7 nm respectively.
Collapse
Affiliation(s)
- Heejin Choi
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dushan Wadduwage
- BioSym, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore 138602, Singapore
| | - Paul T. Matsudaira
- Department of Biological Sciences, National University of Singapore, Singapore 138602, Singapore
| | - Peter T.C. So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- BioSym, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| |
Collapse
|
60
|
Raicu V, Singh DR. FRET spectrometry: a new tool for the determination of protein quaternary structure in living cells. Biophys J 2014; 105:1937-45. [PMID: 24209838 DOI: 10.1016/j.bpj.2013.09.015] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Revised: 09/11/2013] [Accepted: 09/12/2013] [Indexed: 11/30/2022] Open
Abstract
Förster resonance energy transfer (FRET) is an exquisitely sensitive method for detection of molecular interactions and conformational changes in living cells. The recent advent of fluorescence imaging technology with single-molecule (or molecular-complex) sensitivity, together with refinements in the kinetic theory of FRET, provide the necessary tool kits for determining the stoichiometry and relative disposition of the protomers within protein complexes (i.e., quaternary structure) of membrane receptors and transporters in living cells. In contrast to standard average-based methods, this method relies on the analysis of distributions of apparent FRET efficiencies, E(app), across the image pixels of individual cells expressing proteins of interest. The most probable quaternary structure of the complex is identified from the number of peaks in the E(app) distribution and their dependence on a single parameter, termed pairwise FRET efficiency. Such peaks collectively create a unique FRET spectrum corresponding to each oligomeric configuration of the protein. Therefore, FRET could quite literally become a spectrometric method--akin to that of mass spectrometry--for sorting protein complexes according to their size and shape.
Collapse
Affiliation(s)
- Valerică Raicu
- Physics Department, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin; Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin.
| | | |
Collapse
|
61
|
Szmacinski H, Toshchakov V, Lakowicz JR. Application of phasor plot and autofluorescence correction for study of heterogeneous cell population. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:046017. [PMID: 24770662 PMCID: PMC4000004 DOI: 10.1117/1.jbo.19.4.046017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2013] [Revised: 03/09/2014] [Accepted: 03/25/2014] [Indexed: 05/22/2023]
Abstract
Protein-protein interactions in cells are often studied using fluorescence resonance energy transfer (FRET) phenomenon by fluorescence lifetime imaging microscopy (FLIM). Here, we demonstrate approaches to the quantitative analysis of FRET in cell population in a case complicated by a highly heterogeneous donor expression, multiexponential donor lifetime, large contribution of cell autofluorescence, and significant presence of unquenched donor molecules that do not interact with the acceptor due to low affinity of donor-acceptor binding. We applied a multifrequency phasor plot to visualize FRET FLIM data, developed a method for lifetime background correction, and performed a detailed time-resolved analysis using a biexponential model. These approaches were applied to study the interaction between the Toll Interleukin-1 receptor (TIR) domain of Toll-like receptor 4 (TLR4) and the decoy peptide 4BB. TLR4 was fused to Cerulean fluorescent protein (Cer) and 4BB peptide was labeled with Bodipy TMRX (BTX). Phasor displays for multifrequency FLIM data are presented. The analytical procedure for lifetime background correction is described and the effect of correction on FLIM data is demonstrated. The absolute FRET efficiency was determined based on the phasor plot display and multifrequency FLIM data analysis. The binding affinity between TLR4-Cer (donor) and decoy peptide 4BB-BTX (acceptor) was estimated in a heterogeneous HeLa cell population.
Collapse
Affiliation(s)
- Henryk Szmacinski
- University of Maryland School of Medicine, Department of Biochemistry and Molecular Biology, Baltimore, Maryland 21201
- Address all correspondence to: Henryk Szmacinski, E-mail:
| | - Vladimir Toshchakov
- University of Maryland School of Medicine, Department of Microbiology and Immunology, Baltimore, Maryland 21201
| | - Joseph R. Lakowicz
- University of Maryland School of Medicine, Department of Biochemistry and Molecular Biology, Baltimore, Maryland 21201
| |
Collapse
|
62
|
Bücherl CA, Bader A, Westphal AH, Laptenok SP, Borst JW. FRET-FLIM applications in plant systems. PROTOPLASMA 2014; 251:383-394. [PMID: 24390247 DOI: 10.1007/s00709-013-0595-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Accepted: 12/05/2013] [Indexed: 05/28/2023]
Abstract
A hallmark of cellular processes is the spatio-temporally regulated interplay of biochemical components. Assessing spatial information of molecular interactions within living cells is difficult using traditional biochemical methods. Developments in green fluorescent protein technology in combination with advances in fluorescence microscopy have revolutionised this field of research by providing the genetic tools to investigate the spatio-temporal dynamics of biomolecules in live cells. In particular, fluorescence lifetime imaging microscopy (FLIM) has become an inevitable technique for spatially resolving cellular processes and physical interactions of cellular components in real time based on the detection of Förster resonance energy transfer (FRET). In this review, we provide a theoretical background of FLIM as well as FRET-FLIM analysis. Furthermore, we show two cases in which advanced microscopy applications revealed many new insights of cellular processes in living plant cells as well as in whole plants.
Collapse
|
63
|
Zeug A, Stawarski M, Bieganska K, Korotchenko S, Wlodarczyk J, Dityatev A, Ponimaskin E. Current microscopic methods for the neural ECM analysis. PROGRESS IN BRAIN RESEARCH 2014; 214:287-312. [PMID: 25410363 DOI: 10.1016/b978-0-444-63486-3.00013-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The extracellular matrix (ECM) occupies the space between both neurons and glial cells and thus provides a microenvironment that regulates multiple aspects of neural activities. Because of the vital role of ECM as a natural environment of cells in vivo, there is a growing interest to develop methodology allowing for the detailed structural and functional analyses of ECM. In this chapter, we provide the detailed overview of current microscopic methods used for ECM analysis and also describe general labeling strategies for ECM visualization. Since ECM remodeling involves the proteolytic cleavage of ECM, we will also describe current experimental approaches to image the proteolytic reorganization and/or degradation of ECM. The special focus of this chapter is set to the application of Förster resonance energy transfer-based approaches to monitor intracellular and extracellular matrix functions with high spatiotemporal resolution.
Collapse
Affiliation(s)
- Andre Zeug
- Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Michal Stawarski
- Laboratory of Cell Biophysics, Department of Molecular and Cellular Neurobiology, Nencki Institute of Experimental Biology, Warsaw, Poland
| | | | - Svetlana Korotchenko
- Laboratory for Brain Extracellular Matrix Research, University of Nizhny Novgorod, Nizhny Novgorod, Russia; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Department of Nanophysics, Istituto Italiano di Tecnologia, Genova, Italy
| | - Jakub Wlodarczyk
- Laboratory of Cell Biophysics, Department of Molecular and Cellular Neurobiology, Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Alexander Dityatev
- Laboratory for Brain Extracellular Matrix Research, University of Nizhny Novgorod, Nizhny Novgorod, Russia; Department of Neuroscience and Brain Technologies, Istituto Italiano di Tecnologia, Genova, Italy; Department of Nanophysics, Istituto Italiano di Tecnologia, Genova, Italy; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Magdeburg, Germany
| | - Evgeni Ponimaskin
- Cellular Neurophysiology, Hannover Medical School, Hannover, Germany.
| |
Collapse
|
64
|
Schaufele F. Maximizing the quantitative accuracy and reproducibility of Förster resonance energy transfer measurement for screening by high throughput widefield microscopy. Methods 2013; 66:188-99. [PMID: 23927839 DOI: 10.1016/j.ymeth.2013.07.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Revised: 07/27/2013] [Accepted: 07/30/2013] [Indexed: 11/16/2022] Open
Abstract
Förster resonance energy transfer (FRET) between fluorescent proteins (FPs) provides insights into the proximities and orientations of FPs as surrogates of the biochemical interactions and structures of the factors to which the FPs are genetically fused. As powerful as FRET methods are, technical issues have impeded their broad adoption in the biologic sciences. One hurdle to accurate and reproducible FRET microscopy measurement stems from variable fluorescence backgrounds both within a field and between different fields. Those variations introduce errors into the precise quantification of fluorescence levels on which the quantitative accuracy of FRET measurement is highly dependent. This measurement error is particularly problematic for screening campaigns since minimal well-to-well variation is necessary to faithfully identify wells with altered values. High content screening depends also upon maximizing the numbers of cells imaged, which is best achieved by low magnification high throughput microscopy. But, low magnification introduces flat-field correction issues that degrade the accuracy of background correction to cause poor reproducibility in FRET measurement. For live cell imaging, fluorescence of cell culture media in the fluorescence collection channels for the FPs commonly used for FRET analysis is a high source of background error. These signal-to-noise problems are compounded by the desire to express proteins at biologically meaningful levels that may only be marginally above the strong fluorescence background. Here, techniques are presented that correct for background fluctuations. Accurate calculation of FRET is realized even from images in which a non-flat background is 10-fold higher than the signal.
Collapse
Affiliation(s)
- Fred Schaufele
- Center for Reproductive Science, University of California San Francisco, 513 Parnassus, HSE-1622, San Francisco, CA 94143-0556, United States.
| |
Collapse
|
65
|
Sun Y, Rombola C, Jyothikumar V, Periasamy A. Förster resonance energy transfer microscopy and spectroscopy for localizing protein-protein interactions in living cells. Cytometry A 2013; 83:780-93. [PMID: 23813736 DOI: 10.1002/cyto.a.22321] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2012] [Revised: 04/08/2013] [Accepted: 05/23/2013] [Indexed: 12/15/2022]
Abstract
The fundamental theory of Förster resonance energy transfer (FRET) was established in the 1940s. Its great power was only realized in the past 20 years after different techniques were developed and applied to biological experiments. This success was made possible by the availability of suitable fluorescent probes, advanced optics, detectors, microscopy instrumentation, and analytical tools. Combined with state-of-the-art microscopy and spectroscopy, FRET imaging allows scientists to study a variety of phenomena that produce changes in molecular proximity, thereby leading to many significant findings in the life sciences. In this review, we outline various FRET imaging techniques and their strengths and limitations; we also provide a biological model to demonstrate how to investigate protein-protein interactions in living cells using both intensity- and fluorescence lifetime-based FRET microscopy methods.
Collapse
Affiliation(s)
- Yuansheng Sun
- The W.M. Keck Center for Cellular Imaging (KCCI), Department of Biology, Physical and Life Sciences Building, University of Virginia, Charlottesville, Virginia
| | | | | | | |
Collapse
|
66
|
Day RN. Measuring protein interactions using Förster resonance energy transfer and fluorescence lifetime imaging microscopy. Methods 2013; 66:200-7. [PMID: 23806643 DOI: 10.1016/j.ymeth.2013.06.017] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Revised: 06/12/2013] [Accepted: 06/17/2013] [Indexed: 11/17/2022] Open
Abstract
The method of fluorescence lifetime imaging microscopy (FLIM) is a quantitative approach that can be used to detect Förster resonance energy transfer (FRET). The use of FLIM to measure the FRET that results from the interactions between proteins labeled with fluorescent proteins (FPs) inside living cells provides a non-invasive method for mapping interactomes. Here, the use of the phasor plot method to analyze frequency domain (FD) FLIM measurements is described, and measurements obtained from cells producing the 'FRET standard' fusion proteins are used to validate the FLIM system for FRET measurements. The FLIM FRET approach is then used to measure both homologous and heterologous protein-protein interactions (PPI) involving the CCAAT/enhancer-binding protein alpha (C/EBPα). C/EBPα is a transcription factor that controls cell differentiation, and localizes to heterochromatin where it interacts with the heterochromatin protein 1 alpha (HP1α). The FLIM-FRET method is used to quantify the homologous interactions between the FP-labeled basic leucine zipper (BZip) domain of C/EBPα. Then the heterologous interactions between the C/EBPa BZip domain and HP1a are quantified using the FRET-FLIM method. The results demonstrate that the basic region and leucine zipper (BZip) domain of C/EBPα is sufficient for the interaction with HP1α in regions of heterochromatin.
Collapse
Affiliation(s)
- Richard N Day
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., Indianapolis, IN 46202, USA.
| |
Collapse
|
67
|
Zeug A, Woehler A, Neher E, Ponimaskin EG. Quantitative intensity-based FRET approaches--a comparative snapshot. Biophys J 2013. [PMID: 23199910 DOI: 10.1016/j.bpj.2012.09.031] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Förster resonance energy transfer (FRET) has become an important tool for analyzing different aspects of interactions among biological macromolecules in their native environments. FRET analysis has also been successfully applied to study the spatiotemporal regulation of various cellular processes using genetically encoded FRET-based biosensors. A variety of procedures have been described for measuring FRET efficiency or the relative abundance of donor-acceptor complexes, based on analysis of the donor fluorescence lifetime or the spectrally resolved fluorescence intensity. The latter methods are preferable if one wants to not only quantify the apparent FRET efficiencies but also calculate donor-acceptor stoichiometry and observe fast dynamic changes in the interactions among donor and acceptor molecules in live cells. This review focuses on a comparison of the available intensity-based approaches used to measure FRET. We discuss their strengths and weaknesses in terms of FRET quantification, and provide several examples of biological applications.
Collapse
Affiliation(s)
- André Zeug
- Cellular Neurophysiology, Center of Physiology, Hannover Medical School, Hannover, Germany
| | | | | | | |
Collapse
|
68
|
Yu H, Zhang J, Li H, Chen T. Ma-PbFRET: multiple acceptors FRET measurement based on partial acceptor photobleaching. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2013; 19:171-179. [PMID: 23347498 DOI: 10.1017/s1431927612014079] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Fluorescence resonance energy transfer (FRET) measurement based on partial acceptor photobleaching (PbFRET) is easy to implement without external references. However, the current PbFRET methods are inapplicable to the construct with multiple acceptors, which largely increase the Förster distance. Here, we proposed a linear theory for the dependence of the acceptor photobleaching probability of construct with multiple acceptors on the photobleaching degree (x) and developed a multiple acceptors PbFRET method (Ma-PbFRET) to measure the FRET efficiency of construct with multiple acceptors (n) by measuring the fluorescence intensities of both donor and acceptor channels before and after acceptor photobleaching. The Ma-PbFRET method was validated by measuring the FRET efficiency of construct with two or three acceptors under different x in living cells. Our experimental results demonstrate that the Ma-PbFRET method is capable of exactly quantifying the FRET efficiency of construct with multiple acceptors, providing a simple and powerful tool to investigate the assembly/disassembly of biomolecular complexes with larger distance in living cells.
Collapse
Affiliation(s)
- Huaina Yu
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | | | | | | |
Collapse
|
69
|
Vogel SS, Nguyen TA, van der Meer BW, Blank PS. The impact of heterogeneity and dark acceptor states on FRET: implications for using fluorescent protein donors and acceptors. PLoS One 2012; 7:e49593. [PMID: 23152925 PMCID: PMC3496711 DOI: 10.1371/journal.pone.0049593] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2012] [Accepted: 10/15/2012] [Indexed: 11/18/2022] Open
Abstract
Förster resonance energy transfer (FRET) microscopy is widely used to study protein interactions in living cells. Typically, spectral variants of the Green Fluorescent Protein (FPs) are incorporated into proteins expressed in cells, and FRET between donor and acceptor FPs is assayed. As appreciable FRET occurs only when donors and acceptors are within 10 nm of each other, the presence of FRET can be indicative of aggregation that may denote association of interacting species. By monitoring the excited-state (fluorescence) decay of the donor in the presence and absence of acceptors, dual-component decay analysis has been used to reveal the fraction of donors that are FRET positive (i.e., in aggregates)._However, control experiments using constructs containing both a donor and an acceptor FP on the same protein repeatedly indicate that a large fraction of these donors are FRET negative, thus rendering the interpretation of dual-component analysis for aggregates between separately donor-containing and acceptor-containing proteins problematic. Using Monte-Carlo simulations and analytical expressions, two possible sources for such anomalous behavior are explored: 1) conformational heterogeneity of the proteins, such that variations in the distance separating donor and acceptor FPs and/or their relative orientations persist on time-scales long in comparison with the excited-state lifetime, and 2) FP dark states.
Collapse
Affiliation(s)
- Steven S Vogel
- Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, United States of America.
| | | | | | | |
Collapse
|
70
|
Hum JM, Siegel AP, Pavalko FM, Day RN. Monitoring biosensor activity in living cells with fluorescence lifetime imaging microscopy. Int J Mol Sci 2012; 13:14385-400. [PMID: 23203070 PMCID: PMC3509586 DOI: 10.3390/ijms131114385] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2012] [Revised: 10/27/2012] [Accepted: 11/01/2012] [Indexed: 11/21/2022] Open
Abstract
Live-cell microscopy is now routinely used to monitor the activities of the genetically encoded biosensor proteins that are designed to directly measure specific cell signaling events inside cells, tissues, or organisms. Most fluorescent biosensor proteins rely on Förster resonance energy transfer (FRET) to report conformational changes in the protein that occur in response to signaling events, and this is commonly measured with intensity-based ratiometric imaging methods. An alternative method for monitoring the activities of the FRET-based biosensor proteins is fluorescence lifetime imaging microscopy (FLIM). FLIM measurements are made in the time domain, and are not affected by factors that commonly limit intensity measurements. In this review, we describe the use of the digital frequency domain (FD) FLIM method for the analysis of FRET signals. We illustrate the methods necessary for the calibration of the FD FLIM system, and demonstrate the analysis of data obtained from cells expressing "FRET standard" fusion proteins. We then use the FLIM-FRET approach to monitor the changes in activities of two different biosensor proteins in specific regions of single living cells. Importantly, the factors required for the accurate determination and reproducibility of lifetime measurements are described in detail.
Collapse
Affiliation(s)
- Julia M. Hum
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., MS 333, Indianapolis, IN 46202, USA; E-Mails: (J.M.H.); (A.P.S.); (F.M.P.)
| | - Amanda P. Siegel
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., MS 333, Indianapolis, IN 46202, USA; E-Mails: (J.M.H.); (A.P.S.); (F.M.P.)
| | - Fredrick M. Pavalko
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., MS 333, Indianapolis, IN 46202, USA; E-Mails: (J.M.H.); (A.P.S.); (F.M.P.)
| | - Richard N. Day
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., MS 333, Indianapolis, IN 46202, USA; E-Mails: (J.M.H.); (A.P.S.); (F.M.P.)
| |
Collapse
|
71
|
Li H, Yu H, Chen T. Partial acceptor photobleaching-based quantitative FRET method completely overcoming emission spectral crosstalks. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2012; 18:1021-1029. [PMID: 23026309 DOI: 10.1017/s1431927612001110] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Based on the quantitative fluorescence resonance energy transfer (FRET) method named PbFRET we reported recently, we herein developed a partial acceptor photobleaching-based quantitative FRET algorithm named B-PbFRET method. B-PbFRET overcomes not only the acceptor excitation crosstalk and donor emission spectral crosstalk but also the acceptor emission spectral crosstalk that harasses previous methods including fluorescence lifetime (FLIM), fluorescence recovery of donor after acceptor photobleaching, and acceptor sensitized emission (SE)-based methods. B-PbFRET method is implemented by simultaneously measuring the fluorescence intensity of both donor and acceptor channels at donor excitation before and after partial acceptor photobleaching, and it can directly measure the FRET efficiency (E) without any verified references. Based on the theoretical analysis of B-PbFRET, we also developed a more straightforward correction method named C-PbFRET to obtain the absolute E from the value measured by PbFRET for a given donor-acceptor pair. We validated both B-PbFRET and C-PbFRET methods by measuring the E of two linked constructs, 18AA and SCAT3 proteins, in single living cells, and our data demonstrated that both B-PbFRET and C-PbFRET methods can directly measure the absolute E of the linked constructs inside living cells under different degrees of acceptor emission spectral crosstalk.
Collapse
Affiliation(s)
- Huali Li
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | | | | |
Collapse
|
72
|
Helm PJ. Proposal of a New Method for Measuring Förster Resonance Energy Transfer (FRET) Rapidly, Quantitatively and Non-Destructively. Int J Mol Sci 2012. [PMID: 23202903 PMCID: PMC3497277 DOI: 10.3390/ijms131012367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The process of radiationless energy transfer from a chromophore in an excited electronic state (the “donor”) to another chromophore (an “acceptor”), in which the energy released by the donor effects an electronic transition, is known as “Förster Resonance Energy Transfer” (FRET). The rate of energy transfer is dependent on the sixth power of the distance between donor and acceptor. Determining FRET efficiencies is tantamount to measuring distances between molecules. A new method is proposed for determining FRET efficiencies rapidly, quantitatively, and non-destructively on ensembles containing donor acceptor pairs: at wavelengths suitable for mutually exclusive excitations of donors and acceptors, two laser beams are intensity-modulated in rectangular patterns at duty cycle ½ and frequencies f1 and f2 by electro-optic modulators. In an ensemble exposed to these laser beams, the donor excitation is modulated at f1, and the acceptor excitation, and therefore the degree of saturation of the excited electronic state of the acceptors, is modulated at f2. Since the ensemble contains donor acceptor pairs engaged in FRET, the released donor fluorescence is modulated not only at f1 but also at the beat frequency Δf: = |f1 − f2|. The depth of the latter modulation, detectable via a lock-in amplifier, quantitatively indicates the FRET efficiency.
Collapse
Affiliation(s)
- Paul Johannes Helm
- Center of Molecular Biology and Neuroscience and Institute of Basic Medical Sciences, Department of Anatomy, University of Oslo, P.O. Box 1105-Blindern, NO-0317 Oslo, Norway.
| |
Collapse
|
73
|
Nguyen TA, Sarkar P, Veetil JV, Koushik SV, Vogel SS. Fluorescence polarization and fluctuation analysis monitors subunit proximity, stoichiometry, and protein complex hydrodynamics. PLoS One 2012; 7:e38209. [PMID: 22666486 PMCID: PMC3364239 DOI: 10.1371/journal.pone.0038209] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Accepted: 05/01/2012] [Indexed: 11/19/2022] Open
Abstract
Förster resonance energy transfer (FRET) microscopy is frequently used to study protein interactions and conformational changes in living cells. The utility of FRET is limited by false positive and negative signals. To overcome these limitations we have developed Fluorescence Polarization and Fluctuation Analysis (FPFA), a hybrid single-molecule based method combining time-resolved fluorescence anisotropy (homo-FRET) and fluorescence correlation spectroscopy. Using FPFA, homo-FRET (a 1–10 nm proximity gauge), brightness (a measure of the number of fluorescent subunits in a complex), and correlation time (an attribute sensitive to the mass and shape of a protein complex) can be simultaneously measured. These measurements together rigorously constrain the interpretation of FRET signals. Venus based control-constructs were used to validate FPFA. The utility of FPFA was demonstrated by measuring in living cells the number of subunits in the α-isoform of Venus-tagged calcium-calmodulin dependent protein kinase-II (CaMKIIα) holoenzyme. Brightness analysis revealed that the holoenzyme has, on average, 11.9±1.2 subunit, but values ranged from 10–14 in individual cells. Homo-FRET analysis simultaneously detected that catalytic domains were arranged as dimers in the dodecameric holoenzyme, and this paired organization was confirmed by quantitative hetero-FRET analysis. In freshly prepared cell homogenates FPFA detected only 10.2±1.3 subunits in the holoenzyme with values ranging from 9–12. Despite the reduction in subunit number, catalytic domains were still arranged as pairs in homogenates. Thus, FPFA suggests that while the absolute number of subunits in an auto-inhibited holoenzyme might vary from cell to cell, the organization of catalytic domains into pairs is preserved.
Collapse
Affiliation(s)
- Tuan A. Nguyen
- Section on Cellular Biophotonics, Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, Maryland, United States of America
| | - Pabak Sarkar
- Section on Cellular Biophotonics, Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, Maryland, United States of America
| | - Jithesh V. Veetil
- Section on Cellular Biophotonics, Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, Maryland, United States of America
| | - Srinagesh V. Koushik
- Section on Cellular Biophotonics, Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, Maryland, United States of America
| | - Steven S. Vogel
- Section on Cellular Biophotonics, Laboratory of Molecular Physiology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, Maryland, United States of America
- * E-mail:
| |
Collapse
|
74
|
Wang L, Wang Y, Ragauskas AJ. Determination of cellulase colocalization on cellulose fiber with quantitative FRET measured by acceptor photobleaching and spectrally unmixing fluorescence microscopy. Analyst 2012; 137:1319-24. [PMID: 22311108 DOI: 10.1039/c2an15938d] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The determination of cellulase distribution on the surface of cellulose fiber is an important parameter to understand when determining the interaction between cellulase and cellulose and/or the cooperation of different types of cellulases during the enzymatic hydrolysis of cellulose. In this communication, a strategy is presented to quantitatively determine the cellulase colocalization using the fluorescence resonance energy transfer (FRET) methodology, which is based on acceptor photobleaching and spectrally unmixing fluorescence microscopy. FRET monitoring of cellulase colocalization was achieved by labeling cellulases with an appropriate pair of FRET dyes and by adopting an appropriate FRET model. We describe here that the adapted acceptor photobleaching FRET method can be successfully used to quantify cellulase colocalization regarding their binding to a cellulose fiber at a resolution <10 nm. This developed quantitative FRET method is promising for further studying the interactions between cellulase and cellulose and between different types of cellulases.
Collapse
Affiliation(s)
- Liqun Wang
- BioEnergy Science Center, Institute of Paper Science and Technology, School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | | | | |
Collapse
|
75
|
Adbul Rahim NA, Pelet S, Kamm RD, So PTC. Methodological considerations for global analysis of cellular FLIM/FRET measurements. JOURNAL OF BIOMEDICAL OPTICS 2012; 17:026013. [PMID: 22463045 PMCID: PMC3382354 DOI: 10.1117/1.jbo.17.2.026013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2011] [Revised: 12/18/2011] [Accepted: 12/27/2011] [Indexed: 05/29/2023]
Abstract
Global algorithms can improve the analysis of fluorescence energy transfer (FRET) measurement based on fluorescence lifetime microscopy. However, global analysis of FRET data is also susceptible to experimental artifacts. This work examines several common artifacts and suggests remedial experimental protocols. Specifically, we examined the accuracy of different methods for instrument response extraction and propose an adaptive method based on the mean lifetime of fluorescent proteins. We further examined the effects of image segmentation and a priori constraints on the accuracy of lifetime extraction. Methods to test the applicability of global analysis on cellular data are proposed and demonstrated. The accuracy of global fitting degrades with lower photon count. By systematically tracking the effect of the minimum photon count on lifetime and FRET prefactors when carrying out global analysis, we demonstrate a correction procedure to recover the correct FRET parameters, allowing us to obtain protein interaction information even in dim cellular regions with photon counts as low as 100 per decay curve.
Collapse
Affiliation(s)
- Nur Aida Adbul Rahim
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Serge Pelet
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Roger D. Kamm
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| | - Peter T. C. So
- Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
- Massachusetts Institute of Technology, Department of Biological Engineering, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139
| |
Collapse
|
76
|
Xie F, Zhu J, Deng C, Huang G, Mitchelson K, Cheng J. General and reliable quantitative measurement of fluorescence resonance energy transfer using three fluorescence channels. Analyst 2012; 137:1013-9. [PMID: 22234659 DOI: 10.1039/c2an15902c] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this paper, we describe a comprehensive general system adapted for quantitative fluorescence resonance energy transfer (FRET) measurement using signals from three channels of a fluorescence instrument. The general FRET measurement system involves two established methods, as well as two novel approaches. Unlike the previous measurements, which can be taken correctly only when the quantity of the acceptor is greater than or equal to that of the donor, one of our novel methods can overcome this obstacle and take quantitative FRET measurements when the donor is in excess of the acceptor. Hence the general FRET measurement system allowed one to determine the exact distance when the donor and acceptor were present in different quantities, and integrated the methods for quantitative FRET measurements. The uniformity of measured values and utility of each method were validated using molecular standards based on DNA oligonucleotide rulers. We also discussed and validated the use of a novel method for estimating the relative quantities of the donor and acceptor fluorophores when they were not known before an appropriate method of this system can be selected.
Collapse
Affiliation(s)
- Fengbo Xie
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | | | | | | | | | | |
Collapse
|
77
|
Abstract
Fluorescence lifetime imaging (FLI) has been used widely for measuring biomedical samples. Practical guidelines on taking successful FLI data are provided to avoid common errors that arise during the measurement. Several methods for analyzing and interpreting FLI results are also introduced; e.g., a model-free data analysis method called the polar plot allows visualization and analysis of FLI data without iterative fitting, and an image denoising algorithm called variance-stabilizing-transform TI Haar helps to elucidate the information of a complex biomedical sample. The instrument considerations and data analysis of Spectral-FLI are also discussed.
Collapse
|
78
|
Abstract
Mitochondria are dynamic organelles that frequently undergo fusion and fission, the balance of which is critical for proper cellular functioning and viability. Most studies on mitochondrial fusion and fission mechanisms have focused on proteins thought to physically mediate the events. However, dynamic changes in membrane phospholipids also play roles in facilitating the fusion and fission events. This chapter will review the importance of lipids in mitochondrial dynamics and some of the methods that can be used to study the function of lipids in mitochondrial fusion and fission.
Collapse
Affiliation(s)
- Huiyan Huang
- Department of Pharmacology, Center for Developmental Genetics, Stony Brook University, Stony Brook, New York, USA
| | | |
Collapse
|
79
|
Sun Y, Hays NM, Periasamy A, Davidson MW, Day RN. Monitoring protein interactions in living cells with fluorescence lifetime imaging microscopy. Methods Enzymol 2012; 504:371-91. [PMID: 22264545 PMCID: PMC4136481 DOI: 10.1016/b978-0-12-391857-4.00019-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is now routinely used for dynamic measurements of signaling events inside single living cells, such as monitoring changes in intracellular ions and detecting protein-protein interactions. Here, we describe the digital frequency domain FLIM data acquisition and analysis. We describe the methods necessary to calibrate the FLIM system and demonstrate how they are used to measure the quenched donor fluorescence lifetime that results from Förster Resonance Energy Transfer (FRET). We show how the "FRET-standard" fusion proteins are used to validate the FLIM system for FRET measurements. We then show how FLIM-FRET can be used to detect the dimerization of the basic leucine zipper (B Zip) domain of the transcription factor CCAAT/enhancer binding protein α in the nuclei of living mouse pituitary cells. Importantly, the factors required for the accurate determination and reproducibility of lifetime measurements are described in detail.
Collapse
Affiliation(s)
- Yuansheng Sun
- W.M. Keck Center for Cellular Imaging, University of Virginia, Charlottesville, Virginia, USA
| | | | | | | | | |
Collapse
|
80
|
Brenner MH, Cai D, Nichols SR, Straight SW, Hoppe AD, Swanson JA, Ogilvie JP. Pulse-shaping multiphoton FRET microscopy. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2012; 8226:82260R. [PMID: 22737295 PMCID: PMC3380370 DOI: 10.1117/12.909225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Fluorescence Resonance Energy Transfer (FRET) microscopy is a commonly-used technique to study problems in biophysics that range from uncovering cellular signaling pathways to detecting conformational changes in single biomolecules. Unfortunately, excitation and emission spectral overlap between the fluorophores create challenges in quantitative FRET studies. It has been shown previously that quantitative FRET stoichiometry can be performed by selective excitation of donor and acceptor fluorophores. Extending this approach to two-photon FRET applications is difficult when conventional femtosecond laser sources are used due to their limited bandwidth and slow tuning response time. Extremely broadband titanium:sapphire lasers enable the simultaneous excitation of both donor and acceptor for two-photon FRET, but do so without selectivity. Here we present a novel two-photon FRET microscopy technique that employs pulse-shaping to perform selective excitation of fluorophores in live cells and detect FRET between them. Pulse-shaping via multiphoton intrapulse interference can tailor the excitation pulses to achieve selective excitation. This technique overcomes the limitation of conventional femtosecond lasers to allow rapid switching between selective excitation of the donor and acceptor fluorophores. We apply the method to live cells expressing the fluorescent proteins mCerulean and mCherry, demonstrating selective excitation of fluorophores via pulse-shaping and the detection of two-photon FRET. This work paves the way for two-photon FRET stoichiometry.
Collapse
Affiliation(s)
- Meredith H. Brenner
- Applied Physics Program, University of Michigan, 450 Church Street, Ann Arbor, MI, USA 48109
| | - Dawen Cai
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI, USA 48109
| | - Sarah R. Nichols
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI, USA 48109
| | - Samuel W. Straight
- Center for Live Cell Imaging, University of Michigan Medical School, 1150 West Medical Center Drive, Ann Arbor, MI, USA 48109
- Department of Microbiology and Immunology, University of Michigan Medical School, 1150 West Medical Center Drive, Ann Arbor, MI, USA 48109
| | - Adam D. Hoppe
- Department of Chemistry and Biochemistry, South Dakota State University, Avera Health Science Center, Box 2202, Brookings, SD, USA 57007
| | - Joel A. Swanson
- Department of Microbiology and Immunology, University of Michigan Medical School, 1150 West Medical Center Drive, Ann Arbor, MI, USA 48109
| | - Jennifer P. Ogilvie
- Department of Physics, University of Michigan, 450 Church Street, Ann Arbor, MI, USA 48109
| |
Collapse
|
81
|
Sun Y, Day RN, Periasamy A. Investigating protein-protein interactions in living cells using fluorescence lifetime imaging microscopy. Nat Protoc 2011; 6:1324-40. [PMID: 21886099 PMCID: PMC3169422 DOI: 10.1038/nprot.2011.364] [Citation(s) in RCA: 175] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is now routinely used for dynamic measurements of signaling events inside living cells, including detection of protein-protein interactions. An understanding of the basic physics of fluorescence lifetime measurements is required to use this technique. In this protocol, we describe both the time-correlated single photon counting and the frequency-domain methods for FLIM data acquisition and analysis. We describe calibration of both FLIM systems, and demonstrate how they are used to measure the quenched donor fluorescence lifetime that results from Förster resonance energy transfer (FRET). We then show how the FLIM-FRET methods are used to detect the dimerization of the transcription factor CCAAT/enhancer binding protein-α in live mouse pituitary cell nuclei. Notably, the factors required for accurate determination and reproducibility of lifetime measurements are described. With either method, the entire protocol including specimen preparation, imaging and data analysis takes ∼2 d.
Collapse
Affiliation(s)
- Yuansheng Sun
- W.M. Keck Center for Cellular Imaging, Department of Biology, University of Virginia, Charlottesville, Virginia, USA
| | | | | |
Collapse
|
82
|
Levy S, Wilms CD, Brumer E, Kahn J, Pnueli L, Arava Y, Eilers J, Gitler D. SpRET: highly sensitive and reliable spectral measurement of absolute FRET efficiency. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2011; 17:176-90. [PMID: 21333032 DOI: 10.1017/s1431927610094493] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Contemporary research aims to understand biological processes not only by identifying participating proteins, but also by characterizing the dynamics of their interactions. Because Förster's Resonance Energy Transfer (FRET) is invaluable for the latter undertaking, its usage is steadily increasing. However, FRET measurements are notoriously error-prone, especially when its inherent efficiency is low, a not uncommon situation. Furthermore, many FRET methods are either difficult to implement, are not appropriate for observation of cellular dynamics, or report instrument-specific indices that hamper communication of results within the scientific community. We present here a novel comprehensive spectral methodology, SpRET, which substantially increases both the reliability and sensitivity of FRET microscopy, even under unfavorable conditions such as weak fluorescence or the presence of noise. While SpRET overcomes common pitfalls such as interchannel crosstalk and direct excitation of the acceptor, it also excels in removal of autofluorescence or background contaminations and in correcting chromatic aberrations, often overlooked factors that severely undermine FRET experiments. Finally, SpRET quantitatively reports absolute rather than relative FRET efficiency values, as well as the acceptor-to-donor molar ratio, which is critical for full and proper interpretation of FRET experiments. Thus, SpRET serves as an advanced, improved, and powerful tool in the cell biologist's toolbox.
Collapse
Affiliation(s)
- Shiri Levy
- Department of Physiology and Neurobiology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | | | | | | | | | | | | | | |
Collapse
|
83
|
Sahoo H. Förster resonance energy transfer – A spectroscopic nanoruler: Principle and applications. JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY C-PHOTOCHEMISTRY REVIEWS 2011. [DOI: 10.1016/j.jphotochemrev.2011.05.001] [Citation(s) in RCA: 217] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
|
84
|
Sun Y, Wallrabe H, Seo SA, Periasamy A. FRET microscopy in 2010: the legacy of Theodor Förster on the 100th anniversary of his birth. Chemphyschem 2011; 12:462-74. [PMID: 21344587 PMCID: PMC3422661 DOI: 10.1002/cphc.201000664] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2010] [Indexed: 11/09/2022]
Abstract
Theodor Förster would have been 100 years old this year, and he would have been astounded to see the impact of his scientific achievement, which is still evolving. Combining his quantitative approach of (Förster) resonance energy transfer (FRET) with state-of-the-art digital imaging techniques allows scientists to breach the resolution limits of light (ca. 200 nm) in light microscopy. The ability to deduce molecular or particle distances within a range of 1-10 nm in real time and to prove or disprove interactions between two or more components is of vital interest to researchers in many branches of science. While Förster's groundbreaking theory was published in the 1940s, the availability of suitable fluorophores, instruments, and analytical tools spawned numerous experiments in the last 20 years, as demonstrated by the exponential increase in publications. These cover basic investigation of cellular processes and the ability to investigate them when they go awry in pathological states, the dynamics involved in genetics, and following events in environmental sciences and methods in drug screening. This review covers the essentials of Theodor Förster's theory, describes the elements for successful implementation of FRET microscopy, the challenges and how to overcome them, and a leading-edge example of how Förster's scientific impact is still evolving in many directions. While this review cannot possibly do justice to the burgeoning field of FRET microscopy, a few interesting applications such as threecolor FRET, which greatly expands the opportunities for investigating interactions of cellular components compared with the traditional two-color method, are described, and an extensive list of references is provided for the interested reader to access.
Collapse
Affiliation(s)
- Yuansheng Sun
- W.M. Keck Center for Cellular Imaging, Departments of Biology and Biomedical Engineering, University of Virginia, Charlottesville, VA 22904
| | - Horst Wallrabe
- W.M. Keck Center for Cellular Imaging, Departments of Biology and Biomedical Engineering, University of Virginia, Charlottesville, VA 22904
| | - Soo-Ah Seo
- W.M. Keck Center for Cellular Imaging, Departments of Biology and Biomedical Engineering, University of Virginia, Charlottesville, VA 22904
| | - Ammasi Periasamy
- W.M. Keck Center for Cellular Imaging, Departments of Biology and Biomedical Engineering, University of Virginia, Charlottesville, VA 22904
| |
Collapse
|
85
|
PIETRASZEWSKA-BOGIEL A, GADELLA T. FRET microscopy: from principle to routine technology in cell biology. J Microsc 2010; 241:111-8. [DOI: 10.1111/j.1365-2818.2010.03437.x] [Citation(s) in RCA: 114] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
86
|
FRET characterisation for cross-bridge dynamics in single-skinned rigor muscle fibres. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2010; 40:13-27. [PMID: 20824272 PMCID: PMC3000472 DOI: 10.1007/s00249-010-0624-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Revised: 08/09/2010] [Accepted: 08/16/2010] [Indexed: 11/15/2022]
Abstract
In this work we demonstrate for the first time the use of Förster resonance energy transfer (FRET) as an assay to monitor the dynamics of cross-bridge conformational changes directly in single muscle fibres. The advantage of FRET imaging is its ability to measure distances in the nanometre range, relevant for structural changes in actomyosin cross-bridges. To reach this goal we have used several FRET couples to investigate different locations in the actomyosin complex. We exchanged the native essential light chain of myosin with a recombinant essential light chain labelled with various thiol-reactive chromophores. The second fluorophore of the FRET couple was introduced by three approaches: labelling actin, labelling SH1 cysteine and binding an adenosine triphosphate (ATP) analogue. We characterise FRET in rigor cross-bridges: in this condition muscle fibres are well described by a single FRET population model which allows us to evaluate the true FRET efficiency for a single couple and the consequent donor–acceptor distance. The results obtained are in good agreement with the distances expected from crystallographic data. The FRET characterisation presented herein is essential before moving onto dynamic measurements, as the FRET efficiency differences to be detected in an active muscle fibre are on the order of 10–15% of the FRET efficiencies evaluated here. This means that, to obtain reliable results to monitor the dynamics of cross-bridge conformational changes, we had to fully characterise the system in a steady-state condition, demonstrating firstly the possibility to detect FRET and secondly the viability of the present approach to distinguish small FRET variations.
Collapse
|
87
|
Zhu J, Lu Y, Deng C, Huang G, Chen S, Xu S, Lv Y, Mitchelson K, Cheng J. Assessment of Fluorescence Resonance Energy Transfer for Two-Color DNA Microarray Platforms. Anal Chem 2010; 82:5304-12. [DOI: 10.1021/ac100804p] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jiang Zhu
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Ying Lu
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Cheng Deng
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Guoliang Huang
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Shengyi Chen
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Shukuan Xu
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Yi Lv
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Keith Mitchelson
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| | - Jing Cheng
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, People’s Republic of China, National Engineering Research Center for Beijing Biochip Technology, Beijing 102206, People’s Republic of China, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, People’s Republic of China
| |
Collapse
|
88
|
Rueden CT, Conklin MW, Provenzano PP, Keely PJ, Eliceiri KW. Nonlinear optical microscopy and computational analysis of intrinsic signatures in breast cancer. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2010; 2009:4077-80. [PMID: 19964821 DOI: 10.1109/iembs.2009.5334523] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Recently, new non-invasive imaging methods have been developed and applied to cellular and animal mammary models that have enabled breast cancer researchers to track key players and events in mammary metastasis. Noninvasive nonlinear optical methods such as multiphoton laser scanning microscopy (MPLSM), Fluorescence Lifetime Microscopy (FLIM) and second harmonic generation (SHG) imaging provide an unrivaled ability for obtaining high-resolution images from deep within tissue that can be exploited in the quest to understand breast cancer progression. These optical methods can add greatly to our knowledge of cancer progression by allowing key processes to be non-invasively imaged such as metabolism (on the basis of free and bound NADH detection via FLIM) and interactions with the extracellular matrix (SHG imaging of collagen). In this short application note we present a survey of our latest optical and computational efforts to study intrinsic fluorescence in breast cancer models. In particular we present the latest development in our SLIM Plotter application, an open source visualization program for interactive visualization and inspection of combined spectral lifetime (SLIM) data.
Collapse
Affiliation(s)
- Curtis T Rueden
- Laboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI 53706 USA.
| | | | | | | | | |
Collapse
|
89
|
Sun Y, Periasamy A. Additional correction for energy transfer efficiency calculation in filter-based Forster resonance energy transfer microscopy for more accurate results. JOURNAL OF BIOMEDICAL OPTICS 2010; 15:020513. [PMID: 20459222 PMCID: PMC2874045 DOI: 10.1117/1.3407655] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2010] [Revised: 03/26/2010] [Accepted: 03/30/2010] [Indexed: 05/29/2023]
Abstract
Forster resonance energy transfer (FRET) microscopy is commonly used to monitor protein interactions with filter-based imaging systems, which require spectral bleedthrough (or cross talk) correction to accurately measure energy transfer efficiency (E). The double-label (donor+acceptor) specimen is excited with the donor wavelength, the acceptor emission provided the uncorrected FRET signal and the donor emission (the donor channel) represents the quenched donor (qD), the basis for the E calculation. Our results indicate this is not the most accurate determination of the quenched donor signal as it fails to consider the donor spectral bleedthrough (DSBT) signals in the qD for the E calculation, which our new model addresses, leading to a more accurate E result. This refinement improves E comparisons made with lifetime and spectral FRET imaging microscopy as shown here using several genetic (FRET standard) constructs, where cerulean and venus fluorescent proteins are tethered by different amino acid linkers.
Collapse
Affiliation(s)
- Yuansheng Sun
- University of Virginia, W.M. Keck Center for Cellular Imaging, Department of Biology and Department of Biomedical Engineering, Charlottesville, Virginia 22904, USA
| | | |
Collapse
|
90
|
Wang L, Chen T, Qu J, Wei X. Quantitative analysis of caspase-3 activation by fitting fluorescence emission spectra in living cells. Micron 2009; 40:811-20. [DOI: 10.1016/j.micron.2009.07.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2009] [Revised: 06/24/2009] [Accepted: 07/02/2009] [Indexed: 10/20/2022]
|
91
|
Mehta K, Hoppe AD, Kainkaryam R, Woolf PJ, Linderman JJ. A computational approach to inferring cellular protein-binding affinities from quantitative fluorescence resonance energy transfer imaging. Proteomics 2009; 9:5371-83. [PMID: 19834887 DOI: 10.1002/pmic.200800494] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2008] [Accepted: 09/01/2009] [Indexed: 12/22/2022]
Abstract
Fluorescence resonance energy transfer (FRET) microscopy can measure the spatial distribution of protein interactions inside live cells. Such experiments give rise to complex data sets with many images of single cells, motivating data reduction and abstraction. In particular, determination of the value of the equilibrium dissociation constant (K(d)) will provide a quantitative measure of protein-protein interactions, which is essential to reconstructing cellular signaling networks. Here, we investigate the feasibility of using quantitative FRET imaging of live cells to estimate the local value of K(d) for two interacting labeled molecules. An algorithm is developed to infer the values of K(d) using the intensity of individual voxels of 3-D FRET microscopy images. The performance of our algorithm is investigated using synthetic test data, both in the absence and in the presence of endogenous (unlabeled) proteins. The influence of optical blurring caused by the microscope (confocal or wide field) and detection noise on the accuracy of K(d) inference is studied. We show that deconvolution of images followed by analysis of intensity data at local level can improve the estimate of K(d). Finally, the performance of this algorithm using cellular data on the interaction between yellow fluorescent protein-Rac and cyan fluorescent protein-PBD in mammalian cells is shown.
Collapse
Affiliation(s)
- Khamir Mehta
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109-2136, USA
| | | | | | | | | |
Collapse
|
92
|
Anomalous surplus energy transfer observed with multiple FRET acceptors. PLoS One 2009; 4:e8031. [PMID: 19946626 PMCID: PMC2778011 DOI: 10.1371/journal.pone.0008031] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2009] [Accepted: 11/02/2009] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Förster resonance energy transfer (FRET) is a mechanism where energy is transferred from an excited donor fluorophore to adjacent chromophores via non-radiative dipole-dipole interactions. FRET theory primarily considers the interactions of a single donor-acceptor pair. Unfortunately, it is rarely known if only a single acceptor is present in a molecular complex. Thus, the use of FRET as a tool for measuring protein-protein interactions inside living cells requires an understanding of how FRET changes with multiple acceptors. When multiple FRET acceptors are present it is assumed that a quantum of energy is either released from the donor, or transferred in toto to only one of the acceptors present. The rate of energy transfer between the donor and a specific acceptor (k(D-->A)) can be measured in the absence of other acceptors, and these individual FRET transfer rates can be used to predict the ensemble FRET efficiency using a simple kinetic model where the sum of all FRET transfer rates is divided by the sum of all radiative and non-radiative transfer rates. METHODOLOGY/PRINCIPAL FINDINGS The generality of this approach was tested by measuring the ensemble FRET efficiency in two constructs, each containing a single fluorescent-protein donor (Cerulean) and either two or three FRET acceptors (Venus). FRET transfer rates between individual donor-acceptor pairs within these constructs were calculated from FRET efficiencies measured after systematically introducing point mutations to eliminate all other acceptors. We find that the amount of energy transfer observed in constructs having multiple acceptors is significantly greater than the FRET efficiency predicted from the sum of the individual donor to acceptor transfer rates. CONCLUSIONS/SIGNIFICANCE We conclude that either an additional energy transfer pathway exists when multiple acceptors are present, or that a theoretical assumption on which the kinetic model prediction is based is incorrect.
Collapse
|
93
|
Sun Y, Booker CF, Kumari S, Day RN, Davidson M, Periasamy A. Characterization of an orange acceptor fluorescent protein for sensitized spectral fluorescence resonance energy transfer microscopy using a white-light laser. JOURNAL OF BIOMEDICAL OPTICS 2009; 14:054009. [PMID: 19895111 PMCID: PMC2774974 DOI: 10.1117/1.3227036] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2009] [Revised: 07/13/2009] [Accepted: 07/16/2009] [Indexed: 05/28/2023]
Abstract
Orange fluorescent proteins (FPs) are attractive candidates as Forster resonance energy transfer (FRET) partners, bridging the gap between green and red/far-red FPs, but they pose significant challenges using common fixed laser wavelengths. We investigated monomeric Kusabira orange 2 (mKO2) FP as a FRET acceptor for monomeric teal FP (mTFP) as donor on a FRET standard construct using a fixed-distance amino acid linker, expressed in live cells. We quantified the apparent FRET efficiency (E%) of this construct, using sensitized spectral FRET microscopy on the Leica TCS SP5 X imaging system equipped with a white-light laser that allows choosing any excitation wavelength from 470 to 670 nm in 1-nm increments. The E% obtained in sensitized spectral FRET microscopy was then confirmed with fluorescence lifetime measurements. Our results demonstrate that mKO2 and mTFP are good FRET partners given proper imaging setups. mTFP was optimally excited by the Argon 458 laser line, and the 540-nm wavelength excitation for mKO2 was chosen from the white-light laser. The white-light laser generally extends the usage of orange and red/far-red FPs in sensitized FRET microscopy assays by tailoring excitation and emission precisely to the needs of the FRET pair.
Collapse
Affiliation(s)
- Yuansheng Sun
- University of Virginia, Department of Biology, W. M. Keck Center for Cellular Imaging, McCormick Road, Charlottesville, Virginia 22904, USA
| | | | | | | | | | | |
Collapse
|
94
|
Day RN, Davidson MW. The fluorescent protein palette: tools for cellular imaging. Chem Soc Rev 2009; 38:2887-921. [PMID: 19771335 DOI: 10.1039/b901966a] [Citation(s) in RCA: 557] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
This critical review provides an overview of the continually expanding family of fluorescent proteins (FPs) that have become essential tools for studies of cell biology and physiology. Here, we describe the characteristics of the genetically encoded fluorescent markers that now span the visible spectrum from deep blue to deep red. We identify some of the novel FPs that have unusual characteristics that make them useful reporters of the dynamic behaviors of proteins inside cells, and describe how many different optical methods can be combined with the FPs to provide quantitative measurements in living systems (227 references).
Collapse
Affiliation(s)
- Richard N Day
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, 635 Barnhill Dr., Indianapolis, IN 46202, USA.
| | | |
Collapse
|
95
|
Sarkar P, Koushik SV, Vogel SS, Gryczynski I, Gryczynski Z. Photophysical properties of Cerulean and Venus fluorescent proteins. JOURNAL OF BIOMEDICAL OPTICS 2009; 14:034047. [PMID: 19566339 PMCID: PMC2754229 DOI: 10.1117/1.3156842] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Cerulean and Venus are recently developed fluorescent proteins, often used as a donor-acceptor pair by researchers in Forster resonance energy transfer-based colocalization studies. We characterized the fluorescent properties of these two proteins in a broad spectral range (form ultraviolet to visible region). Excitation spectra, lifetimes, and polarization spectra show significant energy transfer from aromatic amino acids to the fluorescent protein chromophore. High steady-state anisotropy values and the lack of a fast component in anisotropy decays show that the fluorescent protein chromophore is rigidly fixed within the protein structure. Furthermore, we show that the chromophores are not accessible to external quenchers, such as acrylamide or potassium iodide (KI), allowing the removal of "unwanted" background in the environment with external quencher, while leaving the Cerulean/Venus fluorescence unchanged.
Collapse
Affiliation(s)
- Pabak Sarkar
- University of North Texas Health Science Center, Center for Commercialization of Fluorescent Technologies, 3500 Camp Bowie Boulevard, Fort Worth, Texas 76107, USA
| | | | | | | | | |
Collapse
|
96
|
Balla T, Várnai P. Visualization of cellular phosphoinositide pools with GFP-fused protein-domains. CURRENT PROTOCOLS IN CELL BIOLOGY 2009; Chapter 24:Unit 24.4. [PMID: 19283730 PMCID: PMC3125592 DOI: 10.1002/0471143030.cb2404s42] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This unit describes the method of following phosphoinositide dynamics in live cells. Inositol phospholipids have emerged as universal signaling molecules present in virtually every membrane of eukaryotic cells. Phosphoinositides are present in only tiny amounts as compared to structural lipids, but they are metabolically very active as they are produced and degraded by the numerous inositide kinase and phosphatase enzymes. Phosphoinositides control the membrane recruitment and activity of many membrane protein signaling complexes in specific membrane compartments, and they have been implicated in the regulation of a variety of signaling and trafficking pathways. It has been a challenge to develop methods that allow detection of phosphoinositides at the single-cell level. The only available technique in live cell applications is based on the use of the same protein domains selected by evolution to recognize cellular phosphoinositides. Some of these isolated protein modules, when fused to fluorescent proteins, can follow dynamic changes in phosphoinositides. While this technique can provide information on phosphoinositide dynamics in live cells with subcellular localization, and it has rapidly gained popularity, it also has several limitations that must be taken into account when interpreting the data. This unit summarizes the design and practical use of these constructs and also reviews important considerations for interpretation of the data obtained by this technique.
Collapse
Affiliation(s)
- Tamas Balla
- Section on Molecular Signal Transduction, Program for Developmental Neuroscience, NICHD, National Institutes of Health, Bethesda, MD 20892 USA
| | - Péter Várnai
- Department of Physiology, Semmelweis University Medical School, Budapest, Hungary
| |
Collapse
|
97
|
Revealing signaling in single cells by single- and two-photon fluorescence lifetime imaging microscopy. Methods Mol Biol 2009; 462:307-43. [PMID: 19160679 DOI: 10.1007/978-1-60327-115-8_21] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Lipids are actively involved in many cellular processes. Their roles pivot toward determining membrane structure, compartment targeting, and membrane fusion but also regulation of cell signaling via their interactions with proteins and the production of second messengers. As they play a key role in cell signaling, the study of protein-protein interaction and protein conformation change in relationship with their interaction with lipids is of major importance. Until recently, the ability to detect in situ and in real time the dynamics of various biological events and signals without perturbing the cellular environment has been a real challenge. However, the emergence of fluorescence imaging of cells and tissues has allowed the dynamic aspects of the cell to be investigated in a more physiological context than the disassembled model systems employed in traditional biochemical analysis. This chapter highlights some of the many biological applications and uses of frequency- and time-domain fluorescence lifetime imaging microscopy (FLIM) applied to the detection of Förster resonance energy transfer (FRET). The first part describes a FRET system, the second part discusses its study by FLIM, and the third part describes the application of these methods to a panel of biological questions such as (1) spatio-temporal interaction of protein kinase B (PKB) with 3-phosphoinositide dependent protein kinase-1 (PDK1), (2) PKB conformation change, (3) dynamics of PKB activation, (4) interaction of phosphatidylinositol transfer protein (PITP) and phospholipase D (PLD) with lipids.
Collapse
|
98
|
Spectral unmixing: analysis of performance in the olfactory bulb in vivo. PLoS One 2009; 4:e4418. [PMID: 19198655 PMCID: PMC2635473 DOI: 10.1371/journal.pone.0004418] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2008] [Accepted: 12/23/2008] [Indexed: 11/25/2022] Open
Abstract
Background The generation of transgenic mice expressing combinations of fluorescent proteins has greatly aided the reporting of activity and identification of specific neuronal populations. Methods capable of separating multiple overlapping fluorescence emission spectra, deep in the living brain, with high sensitivity and temporal resolution are therefore required. Here, we investigate to what extent spectral unmixing addresses these issues. Methodology/Principal Findings Using fluorescence resonance energy transfer (FRET)-based reporters, and two-photon laser scanning microscopy with synchronous multichannel detection, we report that spectral unmixing consistently improved FRET signal amplitude, both in vitro and in vivo. Our approach allows us to detect odor-evoked FRET transients 180–250 µm deep in the brain, the first demonstration of in vivo spectral imaging and unmixing of FRET signals at depths greater than a few tens of micrometer. Furthermore, we determine the reporter efficiency threshold for which FRET detection is improved by spectral unmixing. Conclusions/Significance Our method allows the detection of small spectral variations in depth in the living brain, which is essential for imaging efficiently transgenic animals expressing combination of multiple fluorescent proteins.
Collapse
|
99
|
Megías D, Marrero R, Martínez Del Peso B, García MA, Bravo-Cordero JJ, García-Grande A, Santos A, Montoya MC. Novel lambda FRET spectral confocal microscopy imaging method. Microsc Res Tech 2009; 72:1-11. [PMID: 18785251 DOI: 10.1002/jemt.20633] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We report a highly specific, sensitive, and robust method for analyzing fluorescence resonance energy transfer (FRET) based on spectral laser scanning confocal microscopy imaging. The lambda FRET (lambdaFRET) algorithm comprises imaging of a FRET sample at multiple emission wavelengths rendering a FRET spectrum, which is separated into its donor and acceptor components to obtain a pixel-based calculation of FRET efficiency. The method uses a novel off-line precalibration procedure for spectral bleed-through correction based on the acquisition of reference reflection images, which simplifies the method and reduces variability. LambdaFRET method was validated using structurally characterized FRET standards with variable linker lengths and stoichiometries designed for this purpose. LambdaFRET performed better than other well-established methods, such as acceptor photobleaching and sensitized emission-based methods, in terms of specificity, reproducibility, and sensitivity to distance variations. Moreover, lambdaFRET analysis was unaffected by high fluorochrome spectral overlap and cellular autofluorescence. The lambdaFRET method demonstrated outstanding performance in intra- and intermolecular FRET analysis in both fixed and live cell imaging studies.
Collapse
Affiliation(s)
- Diego Megías
- Biotechnology Programme, Confocal Microscopy and Cytometry Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), C/ Melchor Fernández Almagro 3, Madrid E-28029, Spain
| | | | | | | | | | | | | | | |
Collapse
|
100
|
Zhu J, Deng C, Huang G, Xu S, Mitchelson K, Cheng J. Quantitative Fluorescence Correction Incorporating Förster Resonance Energy Transfer and Its Use for Measurement of Hybridization Efficiency on Microarrays. Anal Chem 2009; 81:1426-32. [DOI: 10.1021/ac802203r] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Jiang Zhu
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Cheng Deng
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Guoliang Huang
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Shukuan Xu
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Keith Mitchelson
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| | - Jing Cheng
- Medical Systems Biology Research Center, Tsinghua University School of Medicine, Haidian District, Beijing 100084, P. R. China, Department of Biomedical Engineering, Tsinghua University, Haidian District, Beijing 100084, P. R. China, National Engineering Research Center for Beijing Biochip Technology, 18 Life Science Parkway, Changping District, Beijing 102206, P. R. China, and State Key Laboratory for Biomembrane and Membrane Biotechnology, Tsinghua University, Haidian District, Beijing 100084, P. R. China
| |
Collapse
|