ACS Sensors

Single fluorescent protein (FP)-based FLIM (fluorescence lifetime imaging) biosensors are potent tools for quantitatively imaging intracellular processes with high spatial and temporal resolution. They only require a single wavelength for detection, which facilitates multi-color imaging. However, the development of single FP-based FLIM biosensors has been limited by the absence of a general design framework and the complexity of the screening process. In this study, we engineered FLIM biosensors capable of detecting ATP (adenosine triphosphate), cAMP (cyclic adenosine monophosphate), citrate, and glucose by inserting each sensing domain into the mTurquoise2 fluorescent protein between Tyr-145 and Phe-146 using peptide linkers. Through efficient linker screening, we successfully developed FLIM biosensors exhibiting an effective dynamic range from 0.5 to 1.0 ns upon analyte binding. This demonstrates that the qmTQ2-ATP-0 backbone is a universal platform for developing mTQ2-based biosensors. As a proof-of-concept, we demonstrated the capabilities of these FLIM biosensors in monitoring the intracellular dynamics of ATP and cAMP alongside dual-color imaging. Therefore, our work presents an accessible methodology for establishing a single FP-based FLIM biosensor platform for quantitative imaging.

Adenosine triphosphate (ATP) is a central molecule in cellular metabolism, serving as the primary energy currency that links catabolic and anabolic pathways. Monitoring intracellular ATP in vivo is essential for understanding the dynamics of metabolic states, as well as intracellular functions and intercellular interactions in health and disease. We report the design and application of ATPLyzer, a series of genetically encoded, ratiometric biosensors for the monitoring of ATP levels in living cells. The matryoshka design consists of an ATP-binding cassette linked to a circularly permutated GFP coupled with an internal large stokes shift reference fluorophore, allowing for single-wavelength excitation and ratiometric output. This design overcomes limitations of conventional biosensors, reliance on dual excitation wavelengths, and susceptibility to photobleaching. Multi-colour ATPLyzer variants with different dissociation constants were characterized in vitro, exhibiting high specificity for ATP over ADP. Monitoring ATP in Escherichia coli confirmed in vivo utility and revealed growth-phase and carbon-supply-dependent ATP dynamics. The ATPLyzer biosensor offers a robust and tuneable tool for minimally invasive, time-resolved monitoring of intracellular ATP dynamics.

High-performance biosensors play a crucial role in elucidating the intricate spatiotemporal regulatory roles and dynamics of membrane lipids. However, enhancing their sensitivity and substrate-detecting capabilities remains a significant challenge. Here, we presented optogenetic-based strategies to optimize phospholipid biosensors. These strategies involved pre-sequestering unbound probes in the cell nucleus to minimize background signals in the cytoplasm. These stored probes could be released from the nucleus in response to blue light according to experimental requirements. Furthermore, we employed optically-controlled phase separation to generate punctate probes that amplified signals and facilitated the visualization of phospholipids in cells. These improved phospholipid biosensors hold great potential for enhancing our understanding of the spatiotemporal dynamics and regulatory roles of membrane lipids in live cells and this methodological insights might be valuable for developing other high-performance biosensors.

The relationship between hydrogen peroxide (H2O2) and nitric oxide (NO) in the vasculature is multifaceted and remains controversial because the dynamic detection of these reactive molecules is challenging. Genetically encoded biosensors (GEBs) allow visualizing real-time dynamics in living cells and permit multiparametric detection of several analytes. Although robust, GEBs utility depends on several parameters that need fine-tuning for proper imaging and correct data analysis: i.e., camera binning, temperature, and the resolution power of the imaging instruments are some critical parameters that require optimization. We have generated a new double-stable transgenic endothelial cell line stably expressing the biosensors HyPer7 and O-geNOp and systematically tested different imaging modes and their impact on the performance of each biosensor. Ambient temperature and the type of imaging mode did not influence the results, while camera resolution settings significantly affected readouts of HyPer probes but not O-geNOp. Changing a single parameter in a co-imaging mode significantly altered the biosensors dynamic measurements, potentially causing misinterpretation. This study provides a general guide and the pitfalls of employing GEBs in a multispectral imaging mode.

Genetically encoded biosensors based on Forster resonance energy transfer (FRET) are indispensable tools for monitoring biochemical changes in cells. Green and red fluorescent protein-based FRET pairs offer advantages over the classically employed cyan and yellow fluorescent protein pairs, such as better spectral separation, lower phototoxicity, and less autofluorescence. Here, we describe the development of an mScarlet-derived green fluorescent protein (designated as mWatermelon) and its use as a FRET donor to the red fluorescent protein mScarlet-I as a FRET acceptor. We tested the functionality of this FRET pair by engineering biosensors for the detection of protease activity, Ca2+, and K+. Furthermore, we described a strategy to enhance the FRET efficiency of these biosensors by modulating the intramolecular association between mWatermelon and mScarlet-I.

Fluorescent biosensors based on environment-sensitive dyes have important advantages over alternative methodologies such as FRET, including the potential for enhanced brightness, elimination of bleaching artifacts, and more possibilities for multiplexing. However, such biosensors have been difficult to use because they required proteins to be covalently labeled and reintroduced into cells. Recent development of self-labeling enzymes that covalently react with membrane-permeable dyes (e.g. SNAP-tag) provide an opportunity to easily generate dye-based biosensors within cells. Here, we generate a new biosensor for Cdc42 activation by positioning SNAP-tag between Cdc42 and a peptide that binds selectively to active Cdc42. We generate a membrane-permeable Nile Red derivative that exhibits 50-fold fluorescence enhancement upon covalent labeling of the biosensor, then optimize the biosensor so the dye undergoes a 20 nm emission shift upon Cdc42 activation, enabling ratiometric imaging with a single dye. The biosensor, named SNAPsense Cdc42, is validated by examining its response to known regulatory proteins and studying Cdc42 activation during protrusion in living cells. Variants using other dyes are also presented.

Cell fate decisions are regulated by intricate signaling networks, with Extracellular signal-Regulated Kinase (ERK) being a central regulator. However, ERK is rarely the only signaling pathway involved, creating a need to study multiple signaling pathways simultaneously at the single-cell level. Many existing fluorescent biosensors for ERK and other pathways have significant spectral overlap, limiting their ability to be multiplexed. To address this limitation, we developed two novel red-FRET ERK biosensors, REKAR67 and REKAR76, which operate in the 670-720 nm range using miRFP670nano3 and miRFP720. REKAR67 and REKAR76 differ in fluorophore position, which impacts biosensor characteristics; REKAR67 displayed a higher dynamic range but greater signal variance than REKAR76. Mixed populations of REKAR67 or REKAR76 displayed similar Signal-to-Noise ratio (SNR), but in clonal cell populations, REKAR76 had a significantly higher SNR. Overall, our red-FRET ERK biosensors were highly consistent with existing ERK FRET biosensors and in reporting ERK activity and are spectrally compatible with CFP/YFP FRET and cpGFP -based biosensors. Both REKAR biosensors expand the available methods for measuring single-cell ERK activity.

Lactate is an energy substrate and intercellular signaling molecule with multiple bodily functions. Lactate has physiological roles in neurogenesis, axon integrity, memory consolidation, immune response, exercise, adipose tissue lipolysis, etc, and is involved in inflammation, cancer and neurodegeneration. The FRET lactate indicator Laconic has been instrumental in the discovery of mechanisms involved in neurometabolic coupling, and has advanced the understanding of lactate transport, glycolysis and mitochondrial physiology. However, the low fluorescent response and the complex saturation kinetics of Laconic limit its use for high-throughput screening and quantitation. Using the bacterial periplasmic binding protein TTHA0766 from Thermus thermophilus, we have now developed the first single-fluorophore indicator for lactate. The sensor exhibited an intensiometric fluorescence increase of {Delta}F/F0 3.0 and a single binding site with a KD of 293 M. The fluorescence is not affected by other monocarboxylates or pH. However, it is sensitive to Ca2+ in the nanomolar range. Targeting of the sensor to the endoplasmic reticulum revealed that this organelle presents a high permeability for lactate. The functionality of the sensor in living tissue is demonstrated in the brain of Drosophila melanogaster larvae. This indicator, which we have termed CanlonicSF, is well suited to explore lactate dynamics in environments with micromolar Ca2+ or higher, such as the endoplasmic reticulum and the extracellular space.

Aptamer beacons are unimolecular probes that undergo a reversible conformational change upon target binding, making them a promising tool for the real-time detection and monitoring of molecular analytes. However, the development of such sensors has been impeded by the lack of generalizable tools for the efficient discovery and optimization of aptamer beacons for diverse molhhtmlecular targets. Here, we present a scalable approach for converting existing strand-displacement aptamer switches into aptamer beacons by introducing targeted mismatches within their non-target-binding stem domain, destabilizing the aptamer structure to an extent that it can only refold upon binding its target. In order to perform this screening in a high-throughput fashion, we have developed the Massively-parallel Aptamer Performance Analyzer (MAPA), an automated, fluorescence-based screening platform based on a reconfigured sequencing instrument that can functionally evaluate millions of aptamer variants in parallel. Using MAPA, we identified multiple aptamer beacons for glucose, serotonin, and dopamine, and demonstrated that these beacons retain their sensing performance when translated from the on-chip surface-based MAPA format to a solution-based assay. We performed all three aptamer beacon experiments on a single MAPA chip, and even greater multiplexing should be possible, greatly accelerating the discovery of aptamer-based sensors for real-time molecular detection.

Inositol 1,4,5-trisphosphate (IP3) is a key second messenger that regulates diverse physiological processes. Visualization of IP3 dynamics in living cells is therefore important for understanding its signaling processes. In this study, we developed genetically encoded green fluorescent IP3 biosensors named Green iPenguins with distinct half-maximal effective concentrations (EC50) for IP3, enabling detection of IP3 signals over a range of concentrations. The biosensors displayed more than a 4-fold increase in fluorescence intensity upon IP3 and showed high specificity for IP3 over structurally related molecules. When expressed in HEK293T cells, the biosensors enabled visualization of IP3 dynamics involved in different signaling pathways. They were also compatible with dual-color imaging, allowing simultaneous monitoring of IP3 together with cAMP or Ca2+ signals. In addition, the hierarchical relationship between IP3 and Ca2+ signaling was visualized, providing insight into the temporal relationship between these two second messengers. The biosensors are expected to facilitate future studies of physiological processes involving IP3 signaling networks.

Pancreatic beta cells face exceptional protein folding demands from high insulin production requirements, placing extraordinary stress on the ER and contributing to dysfunction in diabetes pathogenesis. Monitoring ER stress dynamics in living cells remains challenging due to the destructive nature of traditional biochemical methods and the limitations of existing fluorescent sensors. Here, we present Apollo-IRE1, a genetically encoded sensor that reports on stress-induced IRE1 oligomerization and associated change in homoFRET via changes in fluorescence anisotropy. Apollo-IRE1 provides a ratiometric, intensity-independent readout, resulting in low day-to-day variability and a minimal spectral bandwidth, enabling multiplexed imaging alongside other cellular parameters. Photobleaching and enhancement curve analysis show that Apollo-IRE1 exists in apparent monomeric, dimeric, and oligomeric states corresponding to baseline, moderate, and terminal ER stress conditions. The sensor also responds rapidly to chemical and physiological ER stressors in both immortalized beta-cell lines and primary mouse islet cells. These data establish Apollo-IRE1 as a practical tool for investigating ER stress dynamics in beta cells and other contexts where longitudinal single-cell measurements are essential.

Split aptamer biosensors offer exceptionally low background by assembling only in the presence of a target analyte; however, their performance is frequently limited by the lack of robust design rules for selecting effective split sites. Existing approaches largely rely on heuristic, structure-based assumptions that are poorly validated and often yield suboptimal signal. Herein, we introduce a systematic, data-driven strategy for identifying high-performance split sites within fluorogenic DNA aptamers. Using our massively-parallel aptamer performance analyzer (MAPA) platform, we performed comprehensive single- and double-mutant analysis of the DFAME-binding region of the fluorogenic DNA aptamer Lettuce, informed by its three-dimensional structure. Dimensionality reduction and clustering of the resulting sequence-function landscape revealed mutation-tolerant elements within the binding domain that are suitable for splitting while preserving fluorophore activation. Sensors constructed using these non-intuitive split sites, which are unconventional by standard design principles, exhibited a nearly four-fold improvement in fluorescence signal-to-background ratio for SARS-CoV-2 RNA detection compared to a prior split-Lettuce design. The same split architecture also enabled robust detection of high-pathogenicity H5Nx avian influenza RNA. These results demonstrate that large-scale, data-driven interrogation of aptamer sequence-function relationships can identify non-intuitive split sites and provide a proof-of-concept framework for developing measurement-based design principles for split-aptamer biosensors.

Budding yeast uses the well-conserved TORC1-Sch9 and cAMP-PKA signalling pathways to regulate adaptations to changing nutrient environments. Dynamic and single-cell measurements of the activity of these two cascades will improve our understanding of cellular adaptation of yeast. Here, we employed the AKAR3-EV biosensor developed for mammalian cells to measure the cellular phosphorylation status determined by Sch9 and PKA activity in budding yeast. Using various mutant strains and inhibitors, we show that AKAR3-EV robustly measures the Sch9- and PKA-dependent phosphorylation status in intact yeast cells. At the single-cell level, we found that the phosphorylation responses are homogenous for glucose, sucrose and fructose, but highly heterogeneous for mannose. The Sch9 and PKA pathways have a relatively high affinity for glucose (K0.5 of 0.24 mM) under glucose derepressed conditions. Lastly, steady-state FRET levels of AKAR3-EV seem to be independent of growth rates, suggesting that the Sch9- and PKA-dependent phosphorylation activity are transient responses to nutrient transitions. We believe that the AKAR3-EV sensor is an excellent addition to the biosensor arsenal for illuminating cellular adaptation in single yeast cells.

While SARS-CoV-2 Mpro and PLpro proteases are known to cleave polyproteins pp1a and pp1ab at multiple sites, these have not been comprehensively characterized in living cells. Here we engineered a two-color Bioluminescence Resonance Energy Transfer (BRET)-based, dual protease (DuProSense) biosensor platform relying on a proximity-dependent energy transfer from a luciferase donor to two spectrally separated fluorescent protein acceptors enabling simultaneous monitoring of processing of two cleavage sites in a single assay with high specificity. DuProSense revealed a similar Mpro and PLpro cleavage kinetics for their N-terminal autocleavage sites. Importantly, systematic characterization of various Mpro and PLpro cleavage sites using DuProSense revealed significant differences in cleavage rates and nirmatrelvir potency of Mpro cleavage sites but no correlation between the cleavage rates and nirmatrelvir IC50 values. Overall, our results provide deeper insights into the proteolytic processing of SARS-CoV-2 polyproteins and the dual color BRET platform will find wider applications in the future. HighlightsO_LIEngineered a two-color BRET-based, dual protease biosensor (DuProSense) C_LIO_LIDuProSense biosensor enabled simultaneous and specific monitoring of Mpro and PLpro activities C_LIO_LIDuProSense platform revealed differential cleavage kinetics of Mpro cleavage sites in live cells C_LIO_LIDuProSense platform revealed Mpro cleavage site-dependent nirmatrelvir potency in live cells C_LI

The past decades, researchers have worked on the development of genetically encoded biosensors, including over 60 genetically encoded calcium indicators (GECIs) containing a single fluorescent protein (FP). Red fluorescent GECIs provide advantages in terms of imaging depths and reduced cell toxicity. Most of GECIs respond with a fluorescence intensity change, and researchers have strived to improve the sensors in terms of brightness and fold-change. Unfortunately, fluorescence intensity is influenced by many factors other than the desired sensor response. GECIs with a fluorescence lifetime contrast overcome this drawback, but so far, no bright red GECI has been developed that shows a fluorescence lifetime contrast. We tried to tackle this challenge by using the brightest red fluorescent proteins from the mScarlet family to develop a new sensor. We did succeed in creating remarkable bright probes, but the fluorescence lifetime contrast we observed in bacterial lysates was lost in mammalian cells. Based on our results, and the success of others to develop a pH and a voltage sensor of mScarlet, we are confident that a GECI with mScarlet is feasible. To this end, we propose to continue development using a mammalian cell-based screening, instead of screening in bacterial lysates.

Current technology for measuring specific biomarkers - continuously in complex samples, without sample preparation - is limited to just handful of molecules such as glucose and blood oxygen. In this work, we present the first optical biosensor system that enables continuous detection of a wide range of biomarkers in complex samples, such as human plasma. Our system employs a modular duplex-bubble switch (DBS) architecture that converts aptamers into structure-switching fluorescence probes whose affinity and kinetics can be readily tuned. These DBS constructs are coupled to a fiber-optic detector that measures the fluorescence change only within an evanescent field, thereby minimizing the impact of background autofluorescence and enabling direct detection of analytes at physiologically relevant concentrations even in interferent-rich sample matrices. Using our system, we achieved continuous detection of dopamine in artificial cerebrospinal fluid for >24 hours with sub-second resolution and a limit of detection (LOD) of 1 {micro}M. We subsequently demonstrated the systems generalizability by configuring it to detect cortisol with nanomolar sensitivity in undiluted human plasma. Both sensors achieved LODs orders of magnitude lower than the KD of the DBS element, highlighting the potential to achieve sensitive detection even when using aptamers with modest affinity.

Extracellular pH is a key microenvironmental factor shaping cell physiology and disease, creating a need for quantitative biosensors that can capture dynamic changes in pHe at the surface of individual living cells. Here, we develop a genetically encoded, ratiometric extracellular pH biosensor through systematic screening of a modular library of membrane-display designs that combine SEpHluorin with a pH-stable reference fluorophore. Screening identified a cell-surface-localised mKate2-SEpHluorin construct, named SurpHer, that exhibits dynamic ratiometric responses across the pHe range of 6 - 7.8. SurpHer shows robust membrane localisation and extracellular pH responsiveness across diverse human cell types including HEK293T, PANC-1 and MDA-MB231 cells. Following stable integration in MDA-MB-231 cells, SurpHer enabled time-course imaging of pHe gradients in a microfluidic platform for modelling tumour microenvironments. SurpHer enables real-time interrogation of the pericellular pH environment of tumor cells and, more broadly, provides a strategy to probe microenvironmental pH dynamics across diverse biological contexts.

Glutamate, the principal excitatory neurotransmitter in the brain, is crucial for cognition and memory, and its dysregulation is implicated in several neurological disorders, including Alzheimers Disease and epilepsy. However, precise and high-throughput quantification of glutamate in physiological samples remains challenging. Here, we report an ultrasensitive and highly specific glutamate aptamer-based biosensor, or aptasensor, developed through in silico design and microfabrication, followed by in vitro and clinical validation. The biosensor consists of arrays of graphene field-effect transistors functionalized with a novel DNA aptamer, NG-Apt-Glu, designed and characterized computationally and biochemically, revealing two putative glutamate binding sites. The aptasensor detects glutamate in artificial cerebrospinal fluid with a 1 aM detection limit, a wide linear range (1 aM-10 pM), and 24 mV/decade sensitivity, showing strong selectivity against GABA, glutamine, dopamine, and serotonin. To evaluate clinical applicability, glutamate levels were measured in cerebrospinal fluid from patients with Alzheimers Disease, showing a significant increase relative to controls and correlating with neurofilament light chain concentrations, a biomarker of neuronal death. These findings underscore glutamates involvement in Alzheimers pathophysiology and its potential as a biomarker for neurodegeneration. This ultrasensitive graphene-based aptasensor enables point-of-care monitoring, paving the way for early diagnosis and the development of novel therapeutic strategies.

The widespread use of fluorescence lifetime imaging microscopy (FLIM) for quantitative imaging is hindered by the limited availability of a FLIM-based genetically encoded indicator using a conventional 488 nm laser. Here, we present qMaLioffG, a single green fluorescent protein FLIM indicator showing a fluorescence lifetime change in ATP concentration within the physiological range. This allows quantitative imaging of endogenous ATP to investigate cellular energy status of different cell types.

Fluorescence anisotropy immunoassays (FAIAs) are widely used to quantify the concentration of target proteins based on competition with a tracer in binding a monoclonal antibody. We recently designed an FAIA to measure mouse C-peptide secretion from living islets in a continuous-flow microfluidic device (InsC-chip). To develop an assay for human C-peptide, our initial selection of antibody-tracer pairings revealed the need to optimize both the dynamic range and the binding kinetics to measure the assay on-chip effectively. Here, we present strategies for developing an on-chip FAIA using two different monoclonal antibodies to achieve both a large dynamic range and high temporal resolution. The two monoclonal antibodies (Ab1 & Ab2) to human C-peptide initially showed low dynamic range and slow kinetics, preventing them from being used in an on-chip assay. To shorten the time-to-reach equilibrium for Ab1, we reengineered the tracer based on a comparison between the human and mouse C-peptide sequences, resulting in > 30-fold shorter time-to-reach equilibrium. To increase the relatively small dynamic range for Ab2, we used partial epitope mapping and targeted point mutations to increase the dynamic range by 45%. Finally, we validated both FAIAs by measuring depolarization-induced insulin secretion from individual hESC-islets in our InsC-chip. These strategies provide a general roadmap for developing FAIAs with high sensitivity and sufficiently fast kinetics to be measured in continuous-flow microfluidic devices.