ACS Sensors

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.

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.

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.

Aptamers are attractive receptors for small-molecule biomarker detection in complex samples because of their high stability, affinity, and specificity, but aptamer-based sensors generally lack the sensitivity to detect low-abundance analytes. As a solution, we developed the charge-amplified FET (CAFET) aptamer biosensor, which is designed to amplify the net charge variation within the Debye length that occurs as a consequence of aptamer-target binding. Our sensor utilizes a strand-displacement aptamer switch, which releases an initially-hybridized displacement strand (DS) upon target binding and thus induces a measurable net charge variation within the Debye length that is amplified to a large FET current response as signal readout. This signal can be further enhanced by adding a charge label to the DS. As a consequence, our sensor can achieve far greater sensitivity than previously described aptamer-FET sensors, where the binding-induced local charge variation is modest. We demonstrate 3-hydroxykynurenine and progesterone detection with a picomolar limit of detection in undiluted human plasma--four orders of magnitude lower than the dissociation constant (KD) of the aptamer component. The CAFET sensor design is modular and should be adaptable for the detection of a wide range of clinically-informative low-abundance analytes in complex samples.

Simple, modular platforms for detecting biologically relevant proteins are critical for applications in clinical diagnostics, healthcare, and research. Here, we have combined aptamer-based protein recognition with our conformationally-responsive DNA nanoswitches to enable simple, sensitive and specific protein detection. We demonstrate dual detection of two clinically relevant blood proteins, thrombin and VEGF as initial proof of concept.

Current technologies to monitor membrane potential are either highly invasive and perturb the integrity of the membrane, use labels that compromise biological behavior, or are limited in sensitivity and do not enable simultaneous monitoring of multiple cells and cell populations. Here, we present Mid-IR Assessment of Conformation in Lipids by Ensemble Sensing (MIRACLES) that, by detection of molecular vibration of lipid acyl chains under cell-membranes electric field dynamics, achieves highly sensitive label-free imaging of membrane potential dynamics in living cells. MIRACLES leverages lipid conformational changes within the plasma membrane as intrinsic indicator for cell membrane depolarization and hyperpolarization. As proof-of-concept, we apply MIRACLES to monitor membrane depolarization during glucose stimulated insulin secretion in {beta}-cells at single-cell level and achieve assessment of {beta}-cell functionality in real time. These results highlight the potential of mid-IR optoacoustic as a powerful tool for indirect, label-free potential assessment of cellular metabolic activities.

Mechanical force transduction is essential to survival, underlying biological processes as fundamental as morphogenesis, somatosensation, audition, and interoception; and driving pathologies as diverse as hypertension and cancer metastasis. Exogenous forces are translated to intracellular signals through transient changes in membrane tension which are currently not possible to directly monitor in situ. To remedy this, we have designed and validated Tension TRAAKer, a chemigenetic fluorescent membrane tension reporter for the visualization of tension induction, propagation, and dissipation in living cells. Tension TRAAKer is derived from inserting a tension-sensitive nonconductive variant of the mechanosensitive potassium ion channel TRAAK into a self-labelling HaloTag. Increasing membrane tensions effect conformational changes in the TRAAK channel that are optically monitored by a HaloTag-conjugated fluorogenic (environment-sensitive) dye. EGFP incorporation C-terminal to the HaloTag enables unambiguous tension reporting in mobile membranes via dual-color ratiometric imaging that controls for variations in sensor density. Tension TRAAKer reports membrane tension changes rapidly, reversibly, and with spatiotemporal precision--its fluorescence scaling to both stimulus magnitude and area, with consistent effect sizes observed between diverse cell types. It better distinguishes among elevated membrane tensions than do available indirect chemical reporters, with the additional advantage of being readily genetically targetable. We thus expect Tension TRAAKer to be a powerful tool for the study of membrane tension across biological systems and disease states.

Bioluminescence resonance energy transfer (BRET) systems are widely used for live-cell spectroscopy and biosensor engineering, yet the intrinsic pH sensitivity of commonly used BRET components has not been systematically examined. Here, we show that major BRET luciferase donors, fluorescent acceptors, and donor-acceptor assay pairs exhibit pronounced pH-dependent spectroscopic behavior across physiologically relevant conditions, identifying environmental pH responsiveness as a fundamental property of widely used BRET systems and a potential source of previously underappreciated assay artifacts. Leveraging these principles, we engineered ORION (ratiOmetRIc prOton seNsor), a genetically encoded ratiometric BRET pH sensor based on the NanoLuc-mVenus fusion. ORION exhibited strong brightness, an approximately 9-fold dynamic range, and robust responsiveness across a substantially broader pH range than that of existing genetically encoded sensors. Compared to pHluorin2, ORION maintained substantially improved quantitative performance at acidic pH values below 6.0. To demonstrate its utility in a biological application, we applied ORION across diverse cancer cell models and identified heterogeneous acid imprinting states, suggesting that tumor cells can retain persistent physiological memory of adaptation to acidic microenvironments even after prolonged ex vivo culture. Together, these findings establish pH responsiveness as a fundamental property of BRET systems and position ORION as a best-in-class platform for interrogating and quantifying pH regulation of biology in living systems.

Peptide YY (PYY) comprises the secretory repertoire of enteroendocrine L-cells alongside glucagon-like peptide-1 (GLP-1), and positively modulates postprandial satiety, digestion mechanics, and regeneration of the intestinal epithelium. Whereas immortalised GLP-1-secreting human L-cell models support pre-clinical drug discovery, comparable human lines that robustly secrete PYY are lacking, hindering mechanistic studies of its release. We present a biosensor for scalable detection of PYY production and secretion from human enteroendocrine cells in vitro. Guided by in silico structural prediction, we engineer a superecliptic phluorin (SEP)-tagged PYY, SEP-PYY, that engages native hormone processing machinery and is responsive to canonical nutrient stimuli when expressed in a human enteroendocrine cell line, NCI-H716. SEP-PYY production and secretion can be measured by optimised flow cytometry and spectrofluorometric plate readouts respectively, methods with superior time- and cost-efficacy to current hormone detection methods. Leveraging the pH sensitivity of SEP, we use this reporter system in detection of single-event hormone exocytosis by total internal reflection microscopy. Finally, we demonstrate the application of our system in screening ligands of metabolite-sensing G-protein coupled receptors that drive SEP-PYY secretion, and supporting discovery of druggable pathways in metabolic disease.

In prokaryotes translation initiation orchestrates protein synthesis through a network of dynamic interactions among the ribosome, mRNA, initiator tRNAfMet, and initiation factors (IFs). Traditional approaches that rely on radioactive labeling or surface immobilization are hindered by inherent safety risks and methodological constraints. We present a fluorescence-based analytical platform that integrates microscale thermophoresis (MST) to investigate translation initiation at the molecular level. Employing fluorescently labeled molecules including the initiator tRNAfMet, mRNA, and Ifs, enabled a detailed characterization of initiation complex assembly as it progresses from bimolecular to higher-order multicomponent states. To expand the fluorescent toolbox for translation studies we established a novel BODIPY-labeling protocol for 70S ribosomes and confirmed their conformational integrity using nano differential scanning fluorimetry (nanoDSF). Our microscale fluorescent system facilitates probing initiation at a variety of steps, since the role of magnesium ions and initiation factors upon 30S initiation complex formation. The same platform can be applied to investigate the effects of different compounds on translation initiation, as demonstrated for a number of antibiotics, aptamers, and antimicrobial peptides. Using this approach, we determined the antibiotic streptomycin dissociation constant for both 30S and 70S ribosomes, which proved identical at 0.3{+/-}0.1 M, and demonstrated the effect of the antimicrobial peptide rumicidin-1 on translation initiation. Offering a cost-effective and high-sensitivity alternative to conventional methods, this approach advances mechanistic understanding of prokaryotic translation and provides a versatile framework for the discovery of novel protein synthesis inhibitors.

Biomarkers in sweat and saliva offer a promising avenue for non-invasive health monitoring. Electrochemical sensors have the potential to measure such biomarkers simultaneously. However, they are limited in discriminating individual biomarkers in mixtures, as redox potentials often overlap, resulting in current signatures that cannot be deconvoluted. This study focuses on differentiating biomarkers using orthogonal sensing materials combined with machine learning. We introduce a flexible electrochemical sensor array comprising carbon flower electrodes modified with poly(vinylidene fluoride) (PVDF) or poly(4-vinylpyridine) (P4VP) for the detection of estradiol (E2), ascorbic acid (AA), serotonin (5-HT), and melatonin (Mel). The two polymers act by altering the redox potential and current response of each biomarker, thereby enhancing signal diversity and enabling peak separation. Using multi-output regression models on 450 single and mixture measurements, the array accurately predicts concentrations (R2 = 0.95) over a wide dynamic range spanning nanomolar to micromolar levels. Polymer-resolved analysis reveals that PVDF-modifications enhance E2 and Mel detection, while P4VP-modifications improve AA and 5-HT quantification, highlighting the benefit of complementary orthogonal sensing electrodes. This finding is further supported by feature attribution analysis, which shows that the machine learning model relies on polymer-specific electrochemical signatures, directly linking improved performance to distinct polymer-analyte interactions. Overall, these results demonstrate that combining polymer-modified orthogonal electrodes with machine learning enables accurate, multiplexed sensing in complex mixtures, advancing selective detection strategies for future sensor platforms.

BackgroundEarly enamel demineralization corresponding to ICDAS 0-1 is difficult to detect through routine visual-tactile examination, as initial mineral loss often precedes visible surface change. Existing optical adjuncts improve detection but frequently require specialized equipment, high costs, or ionizing radiation, limiting widespread clinical use. ObjectiveTo develop a low-cost, luciferin-inspired fluorogenic peptide biosensor capable of selectively binding early enamel porosity and producing a quantifiable green luminescent signal under standard dental blue-light activation. MethodsA calcium-affinitive peptide (P-Ca) was synthesized and functionalized with an inexpensive fluorogenic ester-quencher pair that becomes fluorescent upon conformational stabilization on partially demineralized enamel. Thirty extracted molars, collected as anonymized biowaste from orthodontic procedures, were sectioned and assigned to sound enamel, mild demineralization (pH-cycling, 48 h), or moderate demineralization (96 h). After 60 s incubation with P-Ca, specimens were illuminated using a dental curing light (450-470 nm). Emission spectra ({lambda}_max 515 {+/-} 5 nm) and fluorescence intensities were quantified and compared with quantitative light-induced fluorescence (QLF). Cytocompatibility was evaluated using an immortalized human gingival fibroblasts cell line (HGF-1). ResultsFluorescence intensity increased in accordance with demineralization severity (p < 0.001), and luminescent output strongly correlated with QLF {Delta}F values (p < 0.001). HGF-1 viability remained above 95% after 24 h exposure. ConclusionThis in vitro study supports the feasibility of a fluorogenic peptide biosensor as an inexpensive, non-radiographic adjunct for early enamel demineralization detection, with clear potential for future chairside translation.

Adeno-associated virus (AAV) packaging limits constrain the design, performance, and in vivo application of genetically encoded biosensors. We developed a split intein-mediated reconstitution strategy enabling modular delivery and reassembly of oversized fluorescence lifetime-based biosensors. Using this platform, we engineered an oversized cAMP sensor compatible with one-photon fluorescence lifetime measurements, enabling monitoring of intracellular signaling dynamics in distinct neuronal subtypes in freely behaving mice.

Interleukin-6 (IL-6) is a pleiotropic cytokine whose aberrant elevation drives life-threatening conditions, including sepsis, cytokine storm, and autoimmune disorders, yet existing clinical detection methods demand centralized laboratory infrastructure and multi-hour assay times incompatible with rapid point-of-care decision-making. Here, we report an impedimetric aptasensor built on a programmable tetrahedral DNA nanostructure (TDN) interface anchored to a disposable gold screen-printed electrode (Au-SPE) for the ultrasensitive, label-free detection of IL-6. By systematically varying the number of thiolated base vertices from zero to three, we establish a clear and previously unreported structure-function relationship between multipodal anchoring geometry and charge-transfer resistance modulation: tripodal thiolation yields the most rigid, upright, and electrochemically responsive interface, producing the steepest analytical signal gain upon IL-6 binding at the apex-localised aptamer. Under optimised conditions (pH 7.0, 0.05 uM TDN, MCH passivation), the aptasensor exhibits a linear dynamic range of 0.0001-0.001 pg/mL, a limit of detection of 55 ag/mL, and a sensitivity of 1.55x107 ohm (pg mL-1)-1. Selectivity evaluation against seven physiologically relevant interferents such as TNF-, BSA, glucose, urea, ascorbic acid, glycine, and cysteine confirms negligible cross-reactivity, with relative responses ranging from 0.57% to 14.35% of the IL-6 signal. Spike-recovery experiments in human serum yield recoveries of 74.0-87.6% (%RSD < 4.5%), and the sensor retains functional activity for at least 21 days under refrigerated storage. This work demonstrates that thiolated vertex number is a critical and tunable design parameter for TDN-based biosensors, offering a modular, disposable platform for sub-femtogram cytokine detection with direct applicability to early sepsis diagnosis and inflammatory disease monitoring.

Inorganic polyphosphate (polyP) is a ubiquitous phosphate biopolymer involved in diverse cellular processes. Despite its significance, selective detection of polyP remains challenging because of its simple and highly charged structure. Here, we report a near-infrared (NIR) fluorogenic turn-on chemosensor for selective polyP detection and imaging, SiX-DPA-Zn. The probe combines a silicon-xanthene (SiX) fluorophore with a zinc(II)-coordinated 2,2'-dipicolylamine (DPA-Zn2+) recognition unit and shows more than 100-fold selectivity for inorganic polyP over ADP and ATP. SiX-DPA-Zn enables quantitative detection of polyP at micromolar concentrations in microplate assays and stains a broad range of polyP species, starting from tripolyphosphate, in polyacrylamide gels. In HEK293 cells expressing Escherichia coli polyphosphate kinase 1, the probe visualizes intracellular polyP and enables quantitative analysis of polyP levels in relation to nuclear proteins for example fibrillarin and nucleolin. Stimulated emission depletion (STED) microscopy further revealed subdiffraction-sized polyP granules within polyP aggregates. SiX-DPA-Zn is the first near-infrared (NIR) fluorogenic chemosensor for polyP that is compatible with multiple detection platforms, including microplate assays, polyacrylamide gel staining, confocal and super-resolution STED microscopy.

Quantitative assessment of cellular oxidative stress requires simultaneous measurement of intracellular redox state and extracellular respiratory activity, yet integrated sensing approaches remain limited. Here, we present a dual-fluorescent sensing platform combining a genetically encoded redox biosensor (roGFP2{square}Tsa2{Delta}CR) with an optical oxygen sensor embedded in microwell plates for parallel, non-invasive quantification of intracellular reactive oxygen species (ROS) and oxygen consumption rates (OCR) in industrial yeast systems. The roGFP2-based sensor was stably expressed in Saccharomyces cerevisiae (S. cerevisiae) and Yarrowia lipolytica (Y. lipolytica), enabling dynamic monitoring of oxidative stress at population, single-cell, and subcellular levels, while oxygen-sensitive films provided real-time respiration measurements. Using this platform, we identified distinct redox-respiration phenotypes between the two yeasts. Crabtree-positive S. cerevisiae exhibited low OCR and mitochondrial ROS during glucose cultivation, whereas growth on glycerol increased OCR and mitochondrial ROS by ~2.5-fold and 12%, respectively. In contrast, the obligate respiratory yeast Y. lipolytica displayed 3-fold higher OCR and 16% lower mitochondrial ROS than respiring S. cerevisiae, indicating differences in respiratory oxidative burden. Antimycin A treatment reduced OCR by 60% in respiring S. cerevisiae while increasing mitochondrial ROS by 35%, whereas Y. lipolytica showed greater resistance to respiratory and oxidative perturbations. By integrating intracellular redox sensing with extracellular oxygen measurements, this platform enables quantitative coupling of redox state and respiration in living cells. The approach provides a scalable framework for evaluating cellular fitness, stress tolerance, and metabolic state in biomanufacturing and synthetic biology.

Understanding skeletal muscle metabolism involves real-time monitoring of key cellular parameters, such as calcium ions (Ca2+), adenosine triphosphate (ATP), cyclic adenosine monophosphate (cAMP), and intracellular temperature. Fluorescent protein (FP)-based biosensors are used for live-cell imaging of these signals with high spatiotemporal resolution. Differentiated myotubes are in vitro models used for physiological muscle metabolism research. However, efficient transfection of FP-based biosensors into these cells is challenging. Here, we developed an electroporation-based strategy for delivering recombinant protein biosensors into fully differentiated myotubes. Biosensors for Ca2+, ATP, cAMP, and temperature were recombinantly produced using Escherichia coli and introduced into myotubes using electroporation. Electroporation conditions were optimised to maximise delivery efficiency, preserve cell viability, and minimise cellular damage. We established a robust intracellular delivery system that effectively demonstrated Ca2+, ATP, and temperature dynamics. Furthermore, we achieved the successful co-delivery of two biosensors that enabled dual imaging of Ca2+ and cAMP in response to stimulation.

The early detection of breast cancer currently relies on expensive mammography, followed by pathology that uses biopsied, fixed, and immunohistochemically stained tissues. A live-cell detection approach could be highly beneficial as a supportive diagnostic and research tool to better understand and resolve the dynamic nature of breast cancer cells and their response to treatment in real time. Here, we present a single-walled carbon nanotube (SWCNT) near-infrared fluorescence spectral fingerprinting approach combined with machine learning to precisely detect the heterogeneity of breast cancer cells in live culture. We introduced DNA-functionalized SWCNTs to MCF-10A (a non-tumorigenic healthy control) and cancer cell lines spanning known extrinsic disease subtypes: MCF-7 (luminal A), HCC1954 (HER2+), MDA-MB-231, and MDA-MB-468 (both triple-negative). The NIR fluorescence spectra of DNA-SWCNTs across 600 individual cells within each type showed significant differences in emission peak intensities, center wavelengths, and peak intensity ratios, attributable to variations in cellular uptake and biomolecular interactions. These spectral changes likely arise from complex SWCNT cellular interaction fingerprint that includes redox-mediated modulation of the local nanotube environment, rather than from a single biomarker response. The extracted spectral features were used to train an ensemble machine learning model. The model achieved 98% classification accuracy for breast cancer detection and 95% classification accuracy for breast cancer cell subtyping. Moreover, Raman microscopy further showed that MDA-MB-468 cells exhibited the highest SWCNT uptake, whereas MCF-10A cells showed greater SWCNT aggregation, consistent with their lower broadband NIR fluorescence intensity. These results demonstrate that SWCNT NIR fluorescence fingerprints can capture cell line-specific optical signatures. This platform provides a foundation for nanomaterial-enabled biosensing strategies aimed at real-time monitoring of cancer-associated cellular states.

Cancer is a significant contributor to global mortality and places a substantial burden on healthcare systems, underscoring the need for improved strategies for developing and evaluating new therapies. Electrochemical impedance monitoring of in vitro cancer models is a promising technique for evaluating treatment effectiveness, particularly for evaluating how well a drug may kill cancer cells. This approach is advantageous over conventional end-point assays because it is non-destructive, label-free, and can provide temporal information on cell behavior and drug kinetics. However, traditional impedance devices are limited in that they do not support three-dimensional cell culture that has become standard in cancer studies. Typical devices are planar substrates that support monolayer culture, which has been shown to overestimate drug effectiveness. In this work, we propose 3D printed bioelectronic scaffold devices that provide 3D cancer cell culture while functioning as an on-chip readout for monitoring changes in cell characteristics via impedance. We describe device development and demonstrate reproducible fabrication, stable electrochemical properties, cell detection by impedance, and proof-of-concept monitoring of cytotoxicity in response to a chemotherapeutic drug. Overall, this technology offers a promising platform that could be further developed for compound screening as part of drug development or precision medicine.

High content imaging is being applied to achieve quantitative fluorescence readouts in increasingly complex 3-dimensional (3D) cell culture models such as spheroids and organoids. Compared to conventional 2D assays, 3D assays better represent biological heterogeneity but require more complex sample preparation, 3D imaging and 3D image analysis that can affect the accuracy and precision of such assays. We used spheroids formed from the NRAS-activated melanoma cell line 19161 modified to express an ERK kinase translocation reporter (KTR) as an exemplar 3D phenotypic assay carried out in 96-well plates. The spheroids were treated with the ERK activator TPA and a range of concentrations of the MEK inhibitor Binimetinib. 3D live-cell imaging with sub-cellular spatial resolution was performed using a dual-view oblique plane microscope (dOPM) - a form of single-objective light-sheet microscope - and the experiment was performed separately at 4 different institutes. The results were analysed using an identical 3D analysis pipeline and parameters. We assessed the variation in assay readout using a linear mixed effects model. Random variance at the well level was negligible (SD = 0.0048 relative to range of KTR biosensor readout at reference site of 0.17), indicating low technical noise. Treatment effects were dose-dependent and highly statistically significant compared to DMSO control across all sites (Dunnett-corrected p < 0.001). The range in KTR readout between the minimum (3.5 M Binimetinib) and maximum (100 nM TPA) treatments varied between 59 to 96% relative to the reference site. Measured bias in KTR readout between sites was between 6 and 12% of the range of the reference site. This study quantifies the reproducibility of a 3D live spheroid-based assay employing a fluorescence biosensor requiring readout out at the per-cell level using the dOPM platform and discusses areas where experimental protocol could be improved in the future to further improve reproducibility.