Protein interaction affinity determination by quantitative FRET technology

The dissociation constant, K_d, is an important parameter for characterizing protein–protein interaction affinities. SUMOylation is one of the important protein post‐translational modifications and it involves a multi‐step enzymatic cascade reaction, resulting in peptide activation and substrate conjugation. Multiple covalent and non‐covalent protein–protein interactions are involved in this cascade. Techniques involving Förster resonance energy transfer (FRET) have been widely used in biological studies in vitro and in vivo, and they are very powerful tools for elucidating protein interactions in many regulatory cascades. In our previous studies, we reported the attempt to develop a new method for the determination of the K_d by FRET assay using the interaction of SUMO1 and its E2 ligase, Ubc9 as a test system. However, the generality and specifications of this new method have not been fully determined. Here we report a systematic approach for determining the dissociation constant (K_d) in the SUMOylation cascade and for further sensitivity and accuracy testing by the FRET technology. From a FRET donor to acceptor concentration ratio range of 4–40, the K_ds of SUMO1 and Ubc9 consistently agree well with values from surface plasmon resonance and isothermal titration calorimetry. These results demonstrate the high sensitivity and accuracy of the FRET‐based K_d determination approach. This technology, therefore, can be used in general for protein–protein interaction dissociation constant determination. Biotechnol. Bioeng. 2012; 109: 2875–2883. © 2012 Wiley Periodicals, Inc.     

Quantifying intracellular equilibrium dissociation constants using single‐channel time‐resolved FRET

Quantification of the intracellular equilibrium dissociation constant of the interaction, K_d, is challenging due to the variability of the relative concentrations of the interacting proteins in the cell. Fluorescence lifetime imaging microscopy (FLIM) of the donor provides an accurate measurement of the molecular fraction of donor involved in FRET, but the fraction of bound acceptor is also needed to reliably estimate K_d. We present a method that exploits the spectroscopic properties of the widely used eGFP – mCherry FRET pair to rigorously determine the intracellular K_d based on imaging the fluorescence lifetime of only the donor (single‐channel FLIM). We have assessed the effect of incomplete labelling and determined its range of application for different K_d using Monte Carlo simulations. We have demonstrated this method estimating the intracellular K_d for the homodimerisaton of the oncogenic protein 3‐phosphoinositide‐dependent kinase 1 (PDK1) in different cell lines and conditions, revealing a competitive mechanism for its regulation. The measured intracellular K_d was validated against in‐vitro data. This method provides an accurate and generic tool to quantify protein interactions in situ.

     

Aggregatibacter actinomycetemcomitans leukotoxin causes activation of lymphocyte function‐associated antigen 1

Repeats‐in‐toxin leukotoxin (LtxA) produced by the oral bacterium Aggregatibacter actinomycetemcomitans kills human leukocytes in a lymphocyte function‐associated antigen 1 (LFA‐1, integrin α_L/β₂)‐dependent manner, although the mechanism for this interaction has not been identified. The LtxA internalisation by LFA‐1‐expressing cells was explored with florescence resonance energy transfer (FRET) microscopy using a cell line that expresses LFA‐1 with a cyan fluorescent protein‐tagged cytosolic α_L domain and a yellow fluorescent protein‐tagged β₂ domain. Phorbol 12‐myristate 13‐acetate activation of LFA‐1 caused transient cytosolic domain separation. However, addition of LtxA resulted in an increase in FRET, indicating that LtxA brings the cytosolic domains closer together, compared with the inactive state. Unlike activation, this effect was not transient, lasting more than 30 min. Equilibrium constants of LtxA binding to the cytoplasmic domains of both α_L and β₂ were determined using surface plasmon resonance. LtxA has a strong affinity for the cytosolic domains of both the α_L and β₂ subunits (K_d = 15 and 4.2 nM, respectively) and a significantly lower affinity for the cytoplasmic domains of other integrin α_M, α_X, and β₃ subunits (K_d = 400, 180, and 230 nM, respectively), used as controls. Peptide fragments of α_L and β₂ show that LtxA binds membrane‐proximal domain of α_L and intermediate domain of β₂.     

Förster resonance energy transfer measurements of cofactor‐dependent effects on protein arginine N‐methyltransferase homodimerization

Protein arginine N‐methyltransferase (PRMT) dimerization is required for methyl group transfer from the cofactor S‐adenosyl‐L ‐methionine (AdoMet) to arginine residues in protein substrates, forming S‐adenosyl‐L ‐homocysteine (AdoHcy) and methylarginine residues. In this study, we use Förster resonance energy transfer (FRET) to determine dissociation constant (K_D) values for dimerization of PRMT1 and PRMT6. By attaching monomeric Cerulean and Citrine fluorescent proteins to their N‐termini, fluorescent PRMTs are formed that exhibit similar enzyme kinetics to unconjugated PRMTs. These fluorescent proteins are used in FRET‐based binding studies in a multi‐well format. In the presence of AdoMet, fluorescent PRMT1 and PRMT6 exhibit 4‐ and 6‐fold lower dimerization K_D values, respectively, than in the presence of AdoHcy, suggesting that AdoMet promotes PRMT homodimerization in contrast to AdoHcy. We also find that the dimerization K_D values for PRMT1 in the presence of AdoMet or AdoHcy are, respectively, 6‐ and 10‐fold lower than the corresponding values for PRMT6. Considering that the affinity of PRMT6 for AdoHcy is 10‐fold higher than for AdoMet, PRMT6 function may be subject to cofactor‐dependent regulation in cells where the methylation potential (i.e., ratio of AdoMet to AdoHcy) is low. Since PRMT1 affinity for AdoMet and AdoHcy is similar, however, a low methylation potential may not affect PRMT1 function.     

A genetically encoded Förster resonance energy transfer biosensor for two-photon excitation microscopy

Pippi (phosphatidyl inositol phosphate indicator) is a biosensor based on the principle of FRET (Förster resonance energy transfer), which consists of a pair of fluorescent proteins, CFP (cyan fluorescent protein) and YFP (yellow fluorescent protein), the PH domain sandwiched between them, and K-Ras C-terminal sequence for plasma membrane localization. Due to marked cross-excitation of YFP with the conditions used to excite CFP, initial FRET images obtained by TPE (two-photon excitation) microscopy suffered from low signal-to-noise ratio, hampering the observation of lipids in three-dimensional structures. To solve this problem, YFP and CFP in the original Pippi-PI(3,4)P₂ was replaced by sREACh (super resonance energy accepting chromoprotein) and mTFP1 (monomeric teal fluorescent protein), respectively. The biosensor was also fused with an internal control protein, mKeima, where Keima/mTFP1 indicates the FRET efficiency, and indeed epidermal growth factor stimulation increased Keima/mTFP1 in HeLa cells. This biosensor successfully showed PI(3,4)P₂ accumulation to the lateral membrane in the MDCK cyst cultured in a three-dimensional environment. Furthermore, other FRET-based biosensors for PIP₃ distribution and for tyrosine kinase activity were developed based on this method, suggesting its broad application for visualizing signal transduction events with TPE microscopy.     

Analysis of steady-state Förster resonance energy transfer data by avoiding pitfalls: Interaction of JAK2 tyrosine kinase with N-methylanthraniloyl nucleotides

Förster resonance energy transfer (FRET) between the fluorescent ATP analogue 2′/3′-(N-methyl-anthraniloyl)-adenosine-5′-triphosphate (MANT–ATP) and enzymes is widely used to determine affinities for ATP–protein binding. However, in analysis of FRET fluorescence data, several important parameters are often ignored, resulting in poor accuracy of the calculated dissociation constant (K_d). In this study, we systematically analyze factors that interfere with K_d determination and describe methods for correction of primary and secondary inner filter effects that extend the use of the FRET method to higher MANT nucleotide concentrations. The interactions of the fluorescent nucleotide analogues MANT–ATP, MANT–ADP [2′/3′-O-(N-methylanthraniloyl) adenosine diphosphate], and MANT–AMP [2′/3′-O-(N-methylanthraniloyl) adenosine monophosphate] with the JAK2 tyrosine kinase domain are characterized. Taking all interfering factors into consideration, we found that JAK2 binds MANT–ATP tightly with a K_d of 15 to 25 nM and excluded the presence of a second binding site. The affinity for MANT–ADP is also tight with a K_d of 50 to 80 nM, whereas MANT–AMP does not bind. Titrations of JAK2 JH1 with nonhydrolyzable ATP analogue MANT–ATP-γ-S [2′/3′-O-(N-methylanthraniloyl) adenosine-5′-(thio)- triphosphate] yielded a K_d of 30 to 50 nM. The methods demonstrated here are applicable to other enzyme–fluorophore combinations and are expected to help improve the analysis of steady-state FRET data in MANT nucleotide binding studies and to obtain more accurate results for the affinities of nucleotide binding proteins.     

Quantitative analysis of FRET assay in biology—new developments in protein interaction affinity and protease kinetics determinations in the SUMOylation cascade

F(o)rster resonance energy transfer (FRET) techniques have been widely used in biological studies in vitro and in vivo and are powerful tools for elucidating protein interactions in many regulatory cas...     

A Förster resonance energy transfer sensor for live‐cell imaging of mitogen‐activated protein kinase activity in Arabidopsis

The catalytic activity of mitogen‐activated protein kinases (MAPKs) is dynamically modified in plants. Since MAPKs have been shown to play important roles in a wide range of signaling pathways, the ability to monitor MAPK activity in living plant cells would be valuable. Here, we report the development of a genetically encoded MAPK activity sensor for use in Arabidopsis thaliana. The sensor is composed of yellow and blue fluorescent proteins, a phosphopeptide binding domain, a MAPK substrate domain and a flexible linker. Using in vitro testing, we demonstrated that phosphorylation causes an increase in the Förster resonance energy transfer (FRET) efficiency of the sensor. The FRET efficiency can therefore serve as a readout of kinase activity. We also produced transgenic Arabidopsis lines expressing this sensor of MAPK activity (SOMA) and performed live‐cell imaging experiments using detached cotyledons. Treatment with NaCl, the synthetic flagellin peptide flg22 and chitin all led to rapid gains in FRET efficiency. Control lines expressing a version of SOMA in which the phosphosite was mutated to an alanine did not show any substantial changes in FRET. We also expressed the sensor in a conditional loss‐of‐function double‐mutant line for the Arabidopsis MAPK genes MPK3 and MPK6. These experiments demonstrated that MPK3/6 are necessary for the NaCl‐induced FRET gain of the sensor, while other MAPKs are probably contributing to the chitin and flg22‐induced increases in FRET. Taken together, our results suggest that SOMA is able to dynamically report MAPK activity in living plant cells.     

An Improved Ras Sensor for Highly Sensitive and Quantitative FRET-FLIM Imaging

Ras is a signaling protein involved in a variety of cellular processes. Hence, studying Ras signaling with high spatiotemporal resolution is crucial to understanding the roles of Ras in many important cellular functions. Previously, fluorescence lifetime imaging (FLIM) of fluorescent resonance energy transfer (FRET)-based Ras activity sensors, FRas and FRas-F, have been demonstrated to be useful for measuring the spatiotemporal dynamics of Ras signaling in subcellular micro-compartments. However the predominantly nuclear localization of the sensors'' acceptor has limited its sensitivity. Here, we have overcome this limitation and developed two variants of the existing FRas sensor with different affinities: FRas2-F (K_d∼1.7 µM) and FRas2-M (K_d∼0.5 µM). We demonstrate that, under 2-photon fluorescence lifetime imaging microscopy, FRas2 sensors provide higher sensitivity compared to previous sensors in 293T cells and neurons.     

Liver-type fatty acid binding protein interacts with hepatocyte nuclear factor 4α

Hepatocyte nuclear factor 4α (HNF4α) regulates liver type fatty acid binding protein (L-FABP) gene expression. Conversely as shown herein, L-FABP structurally and functionally also interacts with HNF4α. Fluorescence resonance energy transfer (FRET) between Cy3-HNF4α (donor) and Cy5-L-FABP (acceptor) as well as FRET microscopy detected L-FABP in close proximity (∼80 Å) to HNF4α, binding with high affinity K_d ∼250–300 nM. Circular dichroism (CD) determined that the HNF4α/L-FABP interaction altered protein secondary structure. Finally, L-FABP potentiated transactivation of HNF4α in COS7 cells. Taken together, these data suggest that L-FABP provides a signaling path to HNF4α activation in the nucleus.     

Disruption of LptA oligomerization and affinity of the LptA–LptC interaction

The lipopolysaccharide (LPS)‐rich outer membrane (OM) is a unique feature of Gram‐negative bacteria, and LPS transport across the inner membrane (IM) and through the periplasm is essential to the biogenesis and maintenance of the OM. LPS is transported across the periplasm to the outer leaflet of the OM by the LPS transport (Lpt) system, which in Escherichia coli is comprised of seven recently identified proteins, including LptA, LptC, LptDE, and LptFGB₂. Structures of the periplasmic protein LptA and the soluble portion of the membrane‐associated protein LptC have been solved and show these two proteins to be highly structurally homologous with unique folds. LptA has been shown to form concentration dependent oligomers that stack end‐to‐end. LptA and LptC have been shown to associate in vivo and are expected to form a similar protein–protein interface to that found in the LptA dimer. In these studies, we disrupted LptA oligomerization by introducing two point mutations that removed a lysine and glutamine side chain from the C‐terminal β‐strand of LptA. This loss of oligomerization was characterized using EPR spectroscopy techniques and the affinity of the interaction between the mutant LptA protein and WT LptC was determined using EPR spectroscopy (K_d = 15 µM) and isothermal titration calorimetry (K_d = 14 µM). K_d values were also measured by EPR spectroscopy for the interaction between LptC and WT LptA (4 µM) and for WT LptA oligomerization (29 µM). These data suggest that the affinity between LptA and LptC is stronger than the affinity for LptA oligomerization.     

Quantitative FRET analysis by fast acquisition time domain FLIM at high spatial resolution in living cells

Quantitative analysis in Förster resonance energy transfer (FRET) experiments in live cells for protein interaction studies is still a challenging issue. In a two-component system (FRET and no FRET donor species), fitting of fluorescence lifetime imaging microscopy (FLIM) data gives the fraction of donor molecules involved in FRET (f_D) and the intrinsic transfer efficiency. But when fast FLIM acquisitions are used to monitor dynamic changes in protein-protein interactions at high spatial and temporal resolutions in living cells, photon statistics and time resolution are limited. In this case, fitting procedures are not reliable, even for single lifetime donors. We introduce the new concept of a minimal fraction of donor molecules involved in FRET (mf_D), coming from the mathematical minimization of f_D. We find particular advantage in the use of mf_D because it can be obtained without fitting procedures and it is derived directly from FLIM data. mf_D constitutes an interesting quantitative parameter for live cell studies because it is related to the minimal relative concentration of interacting proteins. For multi-lifetime donors, the process of fitting complex fluorescence decays to find at least four reliable lifetimes is a near impossible task. Here, mf_D extension for multi-lifetime donors is the only quantitative determinant. We applied this methodology for imaging the interaction between the bromodomains of TAF_II250 and acetylated histones H4 in living cells at high resolution. We show the existence of discrete acetylated chromatin domains where the minimal fraction of bromodomain interacting with acetylated H4 oscillates from 0.26 to 0.36 and whose size is smaller than half of one micron cube. We demonstrate that mf_D by itself is a useful tool to investigate quantitatively protein interactions in live cells, especially when using fast FRET-FLIM acquisition times.     

Influence of MT7 toxin on the oligomerization state of the M1 muscarinic receptor1

Background information. The idea that GPCRs (G‐protein‐coupled receptors) may exist as homo‐ or hetero‐oligomers, although still controversial, is now widely accepted. Nevertheless, the functional roles of oligomerization are still unclear and gaining greater insight into the mechanisms underlying the dynamics of GPCR assembly and, in particular, assessing the effect of ligands on this process seems important. We chose to focus our present study on the effect of MT7 (muscarinic toxin 7), a highly selective allosteric peptide ligand, on the oligomerization state of the hM₁ (human M₁ muscarinic acetylcholine receptor subtype). Results. We analysed the hM₁ oligomerization state in membrane preparations or in live cells and observed the effect of MT7 via four complementary techniques: native‐PAGE electrophoresis analysed by both Western blotting and autoradiography on solubilized membrane preparations of CHO‐M1 cells (Chinese‐hamster ovary cells expressing muscarinic M₁ receptors); FRET (fluorescence resonance energy transfer) experiments on cells expressing differently tagged M₁ receptors using either an acceptor photobleaching approach or a novel fluorescence emission anisotropy technique; and, finally, by BRET (bioluminescence resonance energy transfer) assays. Our results reveal that MT7 seems to protect the M₁ receptor from the dissociating effect of the detergent and induces an increase in the FRET and BRET signals, highlighting its ability to affect the dimeric form of the receptor. Conclusions. Our results suggest that MT7 binds to a dimeric form of hM₁ receptor, favouring the stability of this receptor state at the cellular level, probably by inducing some conformational rearrangements of the pre‐existing muscarinic receptor homodimers.     

Quantitative In Vivo Fluorescence Cross-Correlation Analyses Highlight the Importance of Competitive Effects in the Regulation of Protein-Protein Interactions

Computer-assisted simulation is a promising approach for clarifying complicated signaling networks. However, this approach is currently limited by a deficiency of kinetic parameters determined in living cells. To overcome this problem, we applied fluorescence cross-correlation spectrometry (FCCS) to measure dissociation constant (K_d) values of signaling molecule complexes in living cells (in vivo K_d). Among the pairs of fluorescent molecules tested, that of monomerized enhanced green fluorescent protein (mEGFP) and HaloTag-tetramethylrhodamine was most suitable for the measurement of in vivo K_d by FCCS. Using this pair, we determined 22 in vivo K_d values of signaling molecule complexes comprising the epidermal growth factor receptor (EGFR)–Ras–extracellular signal-regulated kinase (ERK) mitogen-activated protein (MAP) kinase pathway. With these parameters, we developed a kinetic simulation model of the EGFR-Ras-ERK MAP kinase pathway and uncovered a potential role played by stoichiometry in Shc binding to EGFR during the peak activations of Ras, MEK, and ERK. Intriguingly, most of the in vivo K_d values determined in this study were higher than the in vitro K_d values reported previously, suggesting the significance of competitive bindings inside cells. These in vivo K_d values will provide a sound basis for the quantitative understanding of signal transduction.     

The strengths and limitations of using biolayer interferometry to monitor equilibrium titrations of biomolecules

Every method used to quantify biomolecular interactions has its own strengths and limitations. To quantify protein‐DNA binding affinities, nitrocellulose filter binding assays with ³²P‐labeled DNA quantify K_d values from 10^?12 to 10^?8 M but have several technical limitations. Here, we considered the suitability of biolayer interferometry (BLI), which monitors association and dissociation of a soluble macromolecule to an immobilized species; the ratio k_off/k_on determines K_d. However, for lactose repressor protein (LacI) and an engineered repressor protein (“LLhF”) binding immobilized DNA, complicated kinetic curves precluded this analysis. Thus, we determined whether the amplitude of the BLI signal at equilibrium related linearly to the fraction of protein bound to DNA. A key question was the effective concentration of immobilized DNA. Equilibrium titration experiments with DNA concentrations below K_d (equilibrium binding regime) must be analyzed differently than those with DNA near or above K_d (stoichiometric binding regime). For ForteBio streptavidin tips, the most frequent effective DNA concentration was ~2 × 10^?9 M. Although variation occurred among different lots of sensor tips, binding events with K_d ≥ 10^?8 M should reliably be in the equilibrium binding regime. We also observed effects from multi‐valent interactions: Tetrameric LacI bound two immobilized DNAs whereas dimeric LLhF did not. We next used BLI to quantify the amount of inducer sugars required to allosterically diminish protein‐DNA binding and to assess the affinity of fructose‐1‐kinase for the DNA‐LLhF complex. Overall, when experimental design corresponded with appropriate data interpretation, BLI was convenient and reliable for monitoring equilibrium titrations and thereby quantifying a variety of binding interactions.     

Rational design of amyloid β peptide–binding proteins: Pseudo‐Aβ β‐sheet surface presented in green fluorescent protein binds tightly and preferentially to structured Aβ

Some neurodegenerative diseases such as Alzheimer disease (AD) and Parkinson disease are caused by protein misfolding. In AD, amyloid β‐peptide (Aβ) is thought to be a toxic agent by self‐assembling into a variety of aggregates involving soluble oligomeric intermediates and amyloid fibrils. Here, we have designed several green fluorescent protein (GFP) variants that contain pseudo‐Aβ β‐sheet surfaces and evaluated their abilities to bind to Aβ and inhibit Aβ oligomerization. Two GFP variants P13H and AP93Q bound tightly to Aβ, K_d = 260 nM and K_d = 420 nM, respectively. Moreover, P13H and AP93Q were capable of efficiently suppressing the generation of toxic Aβ oligomers as shown by a cell viability assay. By combining the P13H and AP93Q mutations, a super variant SFAB4 comprising four strands of Aβ‐derived sequences was designed and bound more tightly to Aβ (K_d = 100 nM) than those having only two pseudo‐Aβ strands. The SFAB4 protein preferentially recognized the soluble oligomeric intermediates of Aβ more than both unstructured monomer and mature amyloid fibrils. Thus, the design strategy for embedding pseudo‐Aβ β‐sheet structures onto a protein surface arranged in the β‐barrel structure is useful to construct molecules capable of binding tightly to Aβ and inhibiting its aggregation. This strategy may provide implication for the diagnostic and therapeutic development in the treatment of AD. Proteins 2010. © 2009 Wiley‐Liss, Inc.     

Oligomeric Size of the M2 Muscarinic Receptor in Live Cells as Determined by Quantitative Fluorescence Resonance Energy Transfer

Fluorescence resonance energy transfer (FRET), measured by fluorescence intensity-based microscopy and fluorescence lifetime imaging, has been used to estimate the size of oligomers formed by the M₂ muscarinic cholinergic receptor. The approach is based on the relationship between the apparent FRET efficiency within an oligomer of specified size (n) and the pairwise FRET efficiency between a single donor and a single acceptor (E). The M₂ receptor was fused at the N terminus to enhanced green or yellow fluorescent protein and expressed in Chinese hamster ovary cells. Emission spectra were analyzed by spectral deconvolution, and apparent efficiencies were estimated by donor-dequenching and acceptor-sensitized emission at different ratios of enhanced yellow fluorescent protein-M₂ receptor to enhanced green fluorescent protein-M₂ receptor. The data were interpreted in terms of a model that considers all combinations of donor and acceptor within a specified oligomer to obtain fitted values of E as follows: n = 2, 0.495 ± 0.019; n = 4, 0.202 ± 0.010; n = 6, 0.128 ± 0.006; n = 8, 0.093 ± 0.005. The pairwise FRET efficiency determined independently by fluorescence lifetime imaging was 0.20–0.24, identifying the M₂ receptor as a tetramer. The strategy described here yields an explicit estimate of oligomeric size on the basis of fluorescence properties alone. Its broader application could resolve the general question of whether G protein-coupled receptors exist as dimers or larger oligomers. The size of an oligomer has functional implications, and such information can be expected to contribute to an understanding of the signaling process.     

SuperSegger: robust image segmentation,analysis and lineage tracking of bacterial cells

Many quantitative cell biology questions require fast yet reliable automated image segmentation to identify and link cells from frame‐to‐frame, and characterize the cell morphology and fluorescence. We present SuperSegger, an automated MATLAB‐based image processing package well‐suited to quantitative analysis of high‐throughput live‐cell fluorescence microscopy of bacterial cells. SuperSegger incorporates machine‐learning algorithms to optimize cellular boundaries and automated error resolution to reliably link cells from frame‐to‐frame. Unlike existing packages, it can reliably segment microcolonies with many cells, facilitating the analysis of cell‐cycle dynamics in bacteria as well as cell‐contact mediated phenomena. This package has a range of built‐in capabilities for characterizing bacterial cells, including the identification of cell division events, mother, daughter and neighbouring cells, and computing statistics on cellular fluorescence, the location and intensity of fluorescent foci. SuperSegger provides a variety of postprocessing data visualization tools for single cell and population level analysis, such as histograms, kymographs, frame mosaics, movies and consensus images. Finally, we demonstrate the power of the package by analyzing lag phase growth with single cell resolution.     

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.