Biosensor Architectures for High-Fidelity Reporting of Cellular Signaling

Understanding mechanisms of information processing in cellular signaling networks requires quantitative measurements of protein activities in living cells. Biosensors are molecular probes that have been developed to directly track the activity of specific signaling proteins and their use is revolutionizing our understanding of signal transduction. The use of biosensors relies on the assumption that their activity is linearly proportional to the activity of the signaling protein they have been engineered to track. We use mechanistic mathematical models of common biosensor architectures (single-chain FRET-based biosensors), which include both intramolecular and intermolecular reactions, to study the validity of the linearity assumption. As a result of the classic mechanism of zero-order ultrasensitivity, we find that biosensor activity can be highly nonlinear so that small changes in signaling protein activity can give rise to large changes in biosensor activity and vice versa. This nonlinearity is abolished in architectures that favor the formation of biosensor oligomers, but oligomeric biosensors produce complicated FRET states. Based on this finding, we show that high-fidelity reporting is possible when a single-chain intermolecular biosensor is used that cannot undergo intramolecular reactions and is restricted to forming dimers. We provide phase diagrams that compare various trade-offs, including observer effects, which further highlight the utility of biosensor architectures that favor intermolecular over intramolecular binding. We discuss challenges in calibrating and constructing biosensors and highlight the utility of mathematical models in designing novel probes for cellular signaling.     

Biosensor Architectures for High-Fidelity Reporting of Cellular Signaling

Understanding mechanisms of information processing in cellular signaling networks requires quantitative measurements of protein activities in living cells. Biosensors are molecular probes that have been developed to directly track the activity of specific signaling proteins and their use is revolutionizing our understanding of signal transduction. The use of biosensors relies on the assumption that their activity is linearly proportional to the activity of the signaling protein they have been engineered to track. We use mechanistic mathematical models of common biosensor architectures (single-chain FRET-based biosensors), which include both intramolecular and intermolecular reactions, to study the validity of the linearity assumption. As a result of the classic mechanism of zero-order ultrasensitivity, we find that biosensor activity can be highly nonlinear so that small changes in signaling protein activity can give rise to large changes in biosensor activity and vice versa. This nonlinearity is abolished in architectures that favor the formation of biosensor oligomers, but oligomeric biosensors produce complicated FRET states. Based on this finding, we show that high-fidelity reporting is possible when a single-chain intermolecular biosensor is used that cannot undergo intramolecular reactions and is restricted to forming dimers. We provide phase diagrams that compare various trade-offs, including observer effects, which further highlight the utility of biosensor architectures that favor intermolecular over intramolecular binding. We discuss challenges in calibrating and constructing biosensors and highlight the utility of mathematical models in designing novel probes for cellular signaling.     

Steady-State Acceptor Fluorescence Anisotropy Imaging under Evanescent Excitation for Visualisation of FRET at the Plasma Membrane

We present a novel imaging system combining total internal reflection fluorescence (TIRF) microscopy with measurement of steady-state acceptor fluorescence anisotropy in order to perform live cell Förster Resonance Energy Transfer (FRET) imaging at the plasma membrane. We compare directly the imaging performance of fluorescence anisotropy resolved TIRF with epifluorescence illumination. The use of high numerical aperture objective for TIRF required correction for induced depolarization factors. This arrangement enabled visualisation of conformational changes of a Raichu-Cdc42 FRET biosensor by measurement of intramolecular FRET between eGFP and mRFP1. Higher activity of the probe was found at the cell plasma membrane compared to intracellularly. Imaging fluorescence anisotropy in TIRF allowed clear differentiation of the Raichu-Cdc42 biosensor from negative control mutants. Finally, inhibition of Cdc42 was imaged dynamically in live cells, where we show temporal changes of the activity of the Raichu-Cdc42 biosensor.     

Monitoring the dynamics of Src activity in response to anti-invasive dasatinib treatment at a subcellular level using dual intravital imaging

Optimising response to tyrosine kinase inhibitors in cancer remains an extensive field of research. Intravital imaging is an emerging tool, which can be used in drug discovery to facilitate and fine-tune maximum drug response in live tumors. A greater understanding of intratumoural delivery and pharmacodynamics of a drug can be obtained by imaging drug target-specific fluorescence resonance energy transfer (FRET) biosensors in real time. Here, we outline our recent work using a Src-FRET biosensor as a readout of Src activity to gauge optimal tyrosine kinase inhibition in response to dasatinib treatment regimens in vivo. By simultaneously monitoring both the inhibition of Src using FRET imaging, and the modulation of the surrounding extracellular matrix using second harmonic generation (SHG) imaging, we were able to show enhanced drug penetrance and delivery to live pancreatic tumors. We discuss the implications of this dual intravital imaging approach in the context of altered tumor-stromal interactions, while summarising how this approach could be applied to assess other combination strategies or tyrosine kinase inhibitors in a preclinical setting.     

FRET Microscopy for Real-time Monitoring of Signaling Events in Live Cells Using Unimolecular Biosensors

Förster resonance energy transfer (FRET) microscopy continues to gain increasing interest as a technique for real-time monitoring of biochemical and signaling events in live cells and tissues. Compared to classical biochemical methods, this novel technology is characterized by high temporal and spatial resolution. FRET experiments use various genetically-encoded biosensors which can be expressed and imaged over time in situ or in vivo^1-2. Typical biosensors can either report protein-protein interactions by measuring FRET between a fluorophore-tagged pair of proteins or conformational changes in a single protein which harbors donor and acceptor fluorophores interconnected with a binding moiety for a molecule of interest^3-4. Bimolecular biosensors for protein-protein interactions include, for example, constructs designed to monitor G-protein activation in cells⁵, while the unimolecular sensors measuring conformational changes are widely used to image second messengers such as calcium⁶, cAMP^7-8, inositol phosphates⁹ and cGMP^10-11. Here we describe how to build a customized epifluorescence FRET imaging system from single commercially available components and how to control the whole setup using the Micro-Manager freeware. This simple but powerful instrument is designed for routine or more sophisticated FRET measurements in live cells. Acquired images are processed using self-written plug-ins to visualize changes in FRET ratio in real-time during any experiments before being stored in a graphics format compatible with the build-in ImageJ freeware used for subsequent data analysis. This low-cost system is characterized by high flexibility and can be successfully used to monitor various biochemical events and signaling molecules by a plethora of available FRET biosensors in live cells and tissues. As an example, we demonstrate how to use this imaging system to perform real-time monitoring of cAMP in live 293A cells upon stimulation with a β-adrenergic receptor agonist and blocker.     

Ratiometric fluorescence imaging of dual bio-molecular events in single living cells using a new FRET pair mVenus/mKOκ-based biosensor and a single fluorescent protein biosensor

Genetically coded fluorescent protein (FP)-based biosensors are powerful tools for the non-invasive tracking of molecular events in living cells. Although a variety of FP biosensors are available, the simultaneous imaging of multiple biosensors (multi-parameter imaging) in single living cells remains a challenge and is far from routinely used to elucidate the intricate networks of molecular events. In this study, we established a novel combination of FP biosensors for dual-parameter ratiometric imaging, consisting of a new fluorescence resonance energy transfer (FRET) pair mVenus (yellow FP)/mKOκ (orange FP)-based (abbreviated as YO) biosensor and a single FP-based biosensor Grx1-roGFP2. Under our imaging condition, 1.4±0.05% of Grx1-roGFP2 signal contributes to the mVenus channel and 5.2±0.12% of the mVenus signal contributes to the Grx1-roGFP2 channel. We demonstrate that such low degree of cross-talk causes negligible distortion of the ratiometric signal of the YO-based FRET biosensor and Grx1-roGFP2. By using this dual-parameter ratiometric imaging approach, we achieved simultaneous imaging of Src/Ca(2+) signaling and glutathione (GSH) redox potential in a single cell, which was previously unattainable. Furthermore, we provided direct evidence that epidermal growth factor (EGF)-induced Src signaling was negatively regulated by H(2)O(2) via its effect on GSH-based redox system, demonstrating the power of this dual-parameter imaging approach for elucidating new connections between different molecular events that occur in a single cell. More importantly, the dual-parameter imaging approach described in this study is highly extendable.     

Large Scale Bacterial Colony Screening of Diversified FRET Biosensors

Biosensors based on Förster Resonance Energy Transfer (FRET) between fluorescent protein mutants have started to revolutionize physiology and biochemistry. However, many types of FRET biosensors show relatively small FRET changes, making measurements with these probes challenging when used under sub-optimal experimental conditions. Thus, a major effort in the field currently lies in designing new optimization strategies for these types of sensors. Here we describe procedures for optimizing FRET changes by large scale screening of mutant biosensor libraries in bacterial colonies. We describe optimization of biosensor expression, permeabilization of bacteria, software tools for analysis, and screening conditions. The procedures reported here may help in improving FRET changes in multiple suitable classes of biosensors.     

Live imaging of protein kinase activities in transgenic mice expressing FRET biosensors

Genetically-encoded biosensors based on the principle of F?rster resonance energy transfer (FRET) have been widely used in biology to visualize the spatiotemporal dynamics of signaling molecules. Despite the increasing multitude of these biosensors, their application has been mostly limited to cultured cells with transient biosensor expression, due to particular difficulties in the development of transgenic mice that express FRET biosensors. In this study, we report the efficient generation of transgenic mouse lines expressing heritable and functional biosensors for ERK and PKA. These transgenic mice were created by the cytoplasmic co-injection of Tol2 transposase mRNA and a circular plasmid harbouring Tol2 recombination sites. High expression of the biosensors in a wide range of cell types allowed us to screen newborn mice simply by inspection. Observation of these transgenic mice by two-photon excitation microscopy yielded real-time activity maps of ERK and PKA in various tissues, with greatly improved signal-to-background ratios. Our transgenic mice may be bred into diverse genetic backgrounds; moreover, the protocol we have developed paves the way for the generation of transgenic mice that express other FRET biosensors, with important applications in the characterization of physiological and pathological signal transduction events in addition to drug development and screening.     

The spatiotemporal pattern of Src activation at lipid rafts revealed by diffusion-corrected FRET imaging

Genetically encoded biosensors based on fluorescence resonance energy transfer (FRET) have been widely applied to visualize the molecular activity in live cells with high spatiotemporal resolution. However, the rapid diffusion of biosensor proteins hinders a precise reconstruction of the actual molecular activation map. Based on fluorescence recovery after photobleaching (FRAP) experiments, we have developed a finite element (FE) method to analyze, simulate, and subtract the diffusion effect of mobile biosensors. This method has been applied to analyze the mobility of Src FRET biosensors engineered to reside at different subcompartments in live cells. The results indicate that the Src biosensor located in the cytoplasm moves 4-8 folds faster (0.93+/-0.06 microm(2)/sec) than those anchored on different compartments in plasma membrane (at lipid raft: 0.11+/-0.01 microm(2)/sec and outside: 0.18+/-0.02 microm(2)/sec). The mobility of biosensor at lipid rafts is slower than that outside of lipid rafts and is dominated by two-dimensional diffusion. When this diffusion effect was subtracted from the FRET ratio images, high Src activity at lipid rafts was observed at clustered regions proximal to the cell periphery, which remained relatively stationary upon epidermal growth factor (EGF) stimulation. This result suggests that EGF induced a Src activation at lipid rafts with well-coordinated spatiotemporal patterns. Our FE-based method also provides an integrated platform of image analysis for studying molecular mobility and reconstructing the spatiotemporal activation maps of signaling molecules in live cells.     

Fluorescent Biosensors of Intracellular Targets from Genetically Encoded Reporters to Modular Polypeptide Probes

With the escalation of drug discovery programmes, it has become essential to visualize and monitor biological activities in healthy and pathological cells, with high spatial and temporal resolution. To this aim, the development of probes and sensors, which can report on the levels and activities of specific intracellular targets, has become essential. Together with the discovery of the Green Fluorescent Protein (GFP), and the development of GFP-based reporters, recent advances in the synthesis of small molecule fluorescent probes, and the explosion of fluorescence-based imaging technologies, the biosensor field has witnessed a dramatic expansion of fluorescence-based reporters which can be applied to complex biological samples, living cells and tissues to probe protein/protein interactions, conformational changes and posttranslational modifications. Here, we review recent developments in the field of fluorescent biosensor technology. We describe different varieties and categories of fluorescent biosensors together with an overview of the technologies commonly employed to image biosensors in cellulo and in vivo. We discuss issues and strategies related to the choice of synthetic fluorescent probes, labelling, quenching, caging and intracellular delivery of biosensors. Finally, we provide examples of some well-characterized genetically encoded FRET reporter systems, peptide and protein biosensors and describe biosensor applications in a wide variety of fields.     

Studying cell behavior in whole zebrafish embryos by confocal live imaging: application to hematopoietic stem cells

Confocal live imaging is a key tool for studying cell behavior in the whole zebrafish embryo. Here we provide a detailed protocol that is adaptable for imaging any progenitor cell behavior in live zebrafish embryos. As an example, we imaged the emergence of the first hematopoietic stem cells from the aorta. We discuss the importance of selecting the appropriate zebrafish transgenic line as well as methods for immobilization of embryos to be imaged. In addition, we highlight the confocal microscopy acquisition parameters required for stem cell imaging and the software tools we used to analyze 4D movies. The whole protocol takes 2 h 15 min and allows confocal live imaging from a few hours to several days.     

Protein biosensors based on the principle of fluorescence resonance energy transfer for monitoring cellular dynamics

Genetically-coded, fluorescence resonance energy transfer (FRET) biosensors are widely used to study molecular events from single cells to whole organisms. They are unique among biosensors because of their spontaneous fluorescence and targeting specificity to both organelles and tissues. In this review, we discuss the theoretical basis of FRET with a focus on key parameters responsible for designing FRET biosensors that have the highest sensitivity. Next, we discuss recent applications that are grouped into four common biosensor design patterns—intermolecular FRET, intramolecular FRET, FRET from substrate cleavage and FRET using multiple colour fluorescent proteins. Lastly, we discuss recent progress in creating fluorescent proteins suitable for FRET purposes. Together these advances in the development of FRET biosensors are beginning to unravel the interconnected and intricate signalling processes as they are occurring in living cells and organisms.     

PIE-FLIM Measurements of Two Different FRET-Based Biosensor Activities in the Same Living Cells

We report the use of pulsed interleaved excitation (PIE)-fluorescence lifetime imaging microscopy (FLIM) to measure the activities of two different biosensor probes simultaneously in single living cells. Many genetically encoded biosensors rely on the measurement of Förster resonance energy transfer (FRET) to detect changes in biosensor conformation that accompany the targeted cell signaling event. One of the most robust ways of quantifying FRET is to measure changes in the fluorescence lifetime of the donor fluorophore using FLIM. The study of complex signaling networks in living cells demands the ability to track more than one of these cellular events at the same time. Here, we demonstrate how PIE-FLIM can separate and quantify the signals from different FRET-based biosensors to simultaneously measure changes in the activity of two cell signaling pathways in the same living cells in tissues. The imaging system described here uses selectable laser wavelengths and synchronized detection gating that can be tailored and optimized for each FRET pair. Proof-of-principle studies showing simultaneous measurement of cytosolic calcium and protein kinase A activity are shown, but the PIE-FLIM approach is broadly applicable to other signaling pathways.     

A computational tool for designing FRET protein biosensors by rigid-body sampling of their conformational space

Biosensors relying on the fluorescence resonance energy transfer (FRET) between fluorescent proteins have been used for live-cell imaging of cellular events including Ca(2+) signaling. The efficiency of energy transfer between the donor and acceptor fluorescent proteins depends on the relative distance and orientation between them, which become altered by conformational changes of a fused sensory protein caused by a cellular event. In this way, changes in FRET efficiency of Ca(2+) biosensors can be correlated with Ca(2+) concentrations. The design of these FRET biosensors can be improved by modeling conformational changes before and after a cellular event. Hence, a computational tool called FPMOD was developed to predict FRET efficiency changes by constructing FRET biosensors and sampling their conformational space through rigid-body rotation. We showed with FPMOD that our computational modeling approach can qualitatively predict the FRET efficiencies of a range of biosensors, which had strong agreement with experimental results.     

Multiplexed FRET to image multiple signaling events in live cells

We report what to our knowledge is a novel approach for simultaneous imaging of two different Förster resonance energy transfer (FRET) sensors in the same cell with minimal spectral cross talk. Previous methods based on spectral ratiometric imaging of the two FRET sensors have been limited by the availability of suitably bright acceptors for the second FRET pair and the spectral cross talk incurred when measuring in four spectral windows. In contrast to spectral ratiometric imaging, fluorescence lifetime imaging (FLIM) requires measurement of the donor fluorescence only and is independent of emission from the acceptor. By combining FLIM-FRET of the novel red-shifted TagRFP/mPlum FRET pair with spectral ratiometric imaging of an ECFP/Venus pair we were thus able to maximize the spectral separation between our chosen fluorophores while at the same time overcoming the low quantum yield of the far red acceptor mPlum. Using this technique, we could read out a TagRFP/mPlum intermolecular FRET sensor for reporting on small Ras GTP-ase activation in live cells after epidermal growth factor stimulation and an ECFP/Venus Cameleon FRET sensor for monitoring calcium transients within the same cells. The combination of spectral ratiometric imaging of ECFP/Venus and high-speed FLIM-FRET of TagRFP/mPlum can thus increase the spectral bandwidth available and provide robust imaging of multiple FRET sensors within the same cell. Furthermore, since FLIM does not require equal stoichiometries of donor and acceptor, this approach can be used to report on both unimolecular FRET biosensors and protein-protein interactions with the same cell.     

Quantitative measurement of cAMP concentration using an exchange protein directly activated by a cAMP-based FRET-sensor

Förster resonance energy transfer (FRET)-based biosensors for the quantitative analysis of intracellular signaling, including sensors for monitoring cyclic adenosine monophosphate (cAMP), are of increasing interest. The measurement of the donor/acceptor emission ratio in tandem biosensors excited at the donor excitation wavelength is a commonly used technique. A general problem, however, is that this ratio varies not only with the changes in cAMP concentration but also with the changes of the ionic environment or other factors affecting the folding probability of the fluorophores. Here, we use a spectral FRET analysis on the basis of two excitation wavelengths to obtain a reliable measure of the absolute cAMP concentrations with high temporal and spatial resolution by using an “exchange protein directly activated by cAMP”. In this approach, FRET analysis is simplified and does not require additional calibration routines. The change in FRET efficiency (E) of the biosensor caused by [cAMP] changes was determined as ΔE = 15%, whereas E varies between 35% at low and 20% at high [cAMP], allowing quantitative measurement of cAMP concentration in the range from 150 nM to 15 μM. The method described is also suitable for other FRET-based biosensors with a 1:1 donor/acceptor stoichiometry. As a proof of principle, we measured the specially resolved cAMP concentration within living cells and determined the dynamic changes of cAMP levels after stimulation of the Gs-coupled serotonin receptor subtype 7 (5-HT7).     

An ion-insensitive cAMP biosensor for long term quantitative ratiometric fluorescence resonance energy transfer (FRET) measurements under variable physiological conditions

Ratiometric measurements with FRET-based biosensors in living cells using a single fluorescence excitation wavelength are often affected by a significant ion sensitivity and the aggregation behavior of the FRET pair. This is an important problem for quantitative approaches. Here we report on the influence of physiological ion concentration changes on quantitative ratiometric measurements by comparing different FRET pairs for a cAMP-detecting biosensor. We exchanged the enhanced CFP/enhanced YFP FRET pair of an established Epac1-based biosensor by the fluorophores mCerulean/mCitrine. In the case of enhanced CFP/enhanced YFP, we showed that changes in proton, and (to a lesser extent) chloride ion concentrations result in incorrect ratiometric FRET signals, which may exceed the dynamic range of the biosensor. Calcium ions have no direct, but an indirect pH-driven effect by mobilizing protons. These ion dependences were greatly eliminated when mCerulean/mCitrine fluorophores were used. For such advanced FRET pairs the biosensor is less sensitive to changes in ion concentration and allows consistent cAMP concentration measurements under different physiological conditions, as occur in metabolically active cells. In addition, we verified that the described FRET pair exchange increased the dynamic range of the FRET efficiency response. The time window for stable experimental conditions was also prolonged by a faster biosensor expression rate in transfected cells and a greatly reduced tendency to aggregate, which reduces cytotoxicity. These properties were verified in functional tests in single cells co-expressing the biosensor and the 5-HT(1A) receptor.     

Real-time detection of acetylcholine release from the human endocrine pancreas

Neurons, sensory cells and endocrine cells secrete neurotransmitters and hormones to communicate with other cells and to coordinate organ and system function. Validation that a substance is used as an extracellular signaling molecule by a given cell requires a direct demonstration of its secretion. In this protocol we describe the use of biosensor cells to detect neurotransmitter release from endocrine cells in real-time. Chinese hamster ovary cells expressing the muscarinic acetylcholine (ACh) receptor M3 were used as ACh biosensors to record ACh release from human pancreatic islets. We show how ACh biosensors loaded with the Ca(2+) indicator Fura-2 and pressed against isolated human pancreatic islets allow the detection of ACh release. The biosensor approach is simple; the Ca(2+) signal generated in the biosensor cell reflects the presence (release) of a neurotransmitter. The technique is versatile because biosensor cells expressing a variety of receptors can be used in many applications. The protocol takes ～3 h.     

Quantitative Intensity-Based FRET Approaches—A Comparative Snapshot

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.