Biology subjects

Stavrakis, S.

Publications and source records attributed to Stavrakis, S..

14 recordsLinked to original sources

bioRxiv2026

Structural mechanism governing radiationless energy transfer in Renilla bioluminescence

The nonradiative transport of electronic excitation from one chromophore to another, known as resonance energy transfer, lies at the root of photochemical processes in biology. Unlike photosynthesis, bioluminescence converts chemical energy into light through an enzymatic oxygenation of an energy-rich luciferin. In glowing cnidarians, the energy is relocated from an excited oxyluciferin to a fluorescent protein, shifting the colour and enhancing the quantum yield of a photogenic reaction. How protein-chromophore complexes assemble during this interplay in real space, and what this association entails for function, are unknown. Here, we report co-crystal structures of a 120-kilodalton energy-transfer complex from the luminescent soft coral Renilla reniformis. We find a heterotetrameric 2:2 assembly composed of two coelenteramide-loaded luciferases (RrLuc) docked at opposite sides of a head-to-tail dimer of green fluorescent protein (RrGFP). The edge-to-edge distance between donor and acceptor chromophores is below 3 nm, favouring the Forster-type radiationless energy transfer. Furthermore, RrGFP serves not only as a colour-switchable antenna and luminescence amplifier but also tunes the efficiency of luciferase catalysis by controlling its inherent dynamics. Our results provide detailed spatial information about intermolecular dipole-dipole coupling in Renilla bioluminescence, including the arrangement of donor-acceptor pairs that secure excited-state energy transfer with exquisite precision.

biochemistry↗

bioRxiv2026

Droplet single-cell CRISPR screens identify regulators of T cell-mediated target-cell killing

Cytotoxic CD8 T cells kill target cells through brief cell-cell encounters, but pooled genetic screens cannot readily link perturbations in individual T cells to the fate of the target cells they engage. We developed droplet single-cell CRISPR screening to pair individual primary human CD8 T cells with cancer cells, measure rapid target-cell death, and recover sgRNAs from phenotype-defined droplets. Applied across primary T cells from multiple donors, the platform recovered regulators of T cell receptor signaling, synapse formation, granule exocytosis and cytotoxic differentiation, and identified negative regulators of killing, including established inhibitory nodes such as PTEN, RASA2 and FOXO1, together with AFAP1L2 and components of the mTORC1 pathway. Validation across bispecific engager and TCR-engineered settings showed that selected hits modulate target-cell killing across recognition modalities and tumor models. Unexpectedly, perturbation of RPTOR or RHEB enhanced cytotoxic execution while reducing mTORC1 output, increasing AKT phosphorylation, and attenuating anabolic programs. Transient pharmacologic mTORC1 inhibition reproduced this rapid-killing state and improved antitumor activity after adoptive transfer. These results establish an interaction-resolved pooled genetic strategy for mapping cytotoxicity regulators and reveal that transient modulation of mTORC1 can shift T cells from anabolic growth toward rapid cytotoxic execution to enhance antitumor activity.

immunology↗

bioRxiv2026

CascadeMAP: Autonomous Closed-loop Optimization of Enzyme Cascades via Microfluidics, Machine Learning and Agentic AI

Enzyme cascades enable complex biochemical transformations, but their optimization is resource-intensive, requiring navigation through high-dimensional parameter spaces encompassing reaction conditions, enzyme ratios, and buffer composition. Here we introduce CascadeMAP, an autonomous microfluidic platform for closed-loop optimization of enzyme cascades, integrating high-throughput microfluidics with Bayesian optimization and multi-agent AI system. We demonstrate the platform across two cascades: (i) a glycerol detection pathway monitored by fluorescence and (ii) a 1,2,3-trichloropropane degradation pathway monitored by label-free Raman spectroscopy providing orthogonal detection modalities. Bayesian optimization identified optimal conditions three times faster than Design of Experiments. Multi-agent AI system automated hypothesis generation, processing 11 GB of experimental data, pattern recognition, and insight synthesis. Operating without human intervention for 7 days, CascadeMAP processed [~]220,000 reactions across [~]7,400 different conditions. This capability establishes a generalizable framework for the autonomous optimization of enzyme cascades and metabolic pathways and accelerates the development of biocatalytic and synthetic biological systems.

biochemistry↗

bioRxiv2026

Uncovering Functional Distant Mutations by Ultra-High-Throughput Screening of Dehalogenases

Conformational dynamics play a central role in enzyme function by controlling substrate access and productive binding. Yet mutations that beneficially modulate these properties are difficult to identify. Here, we used ultrahigh-throughput fluorescence-activated droplet sorting (FADS) with a bulky fluorogenic substrate derived from coumarin (COU-3) to impose steric selection pressure on the haloalkane dehalogenase LinB. Screening a focused library yielded five single substitutions located 11.5-15.5 [A] from the catalytic centre. Variant I138N showed a fourfold increase in catalytic efficiency toward COU-3 through reduced KM and increased kcat, associated with increased cap-domain flexibility and facilitated substrate entry. In contrast, variant P208S markedly reduced substrate inhibition and shifted specificity toward bulkier iodinated haloalkanes by reshaping its tunnel environment. Integrated kinetic and structural analyses revealed that screening with bulky substrates directs selection toward distal regions controlling substrate access and unproductive binding. These findings demonstrate that ultrahigh-throughput FADS can reveal dynamic mechanisms of enzyme adaptation that remain difficult to predict by rational design. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/713925v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@782038org.highwire.dtl.DTLVardef@8b43f3org.highwire.dtl.DTLVardef@11a403eorg.highwire.dtl.DTLVardef@6fcaea_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2026

PFKFB2 Gates a Relationship Between Cardiac Glycolytic Regulation and Electrophysiological Function

BackgroundThe cardiac isoform of phosphofructokinase-2/fructose 2,6-bisphosphatase (PFKFB2) is the hearts strongest glycolytic regulator but is degraded in the absence of insulin signaling. This makes PFKFB2 loss critical to understand in metabolic heart disease, of which impaired insulin signaling is a hallmark. Prolongation of the QT interval, risk of arrhythmia, and sudden cardiac death are also augmented in metabolic heart disease, raising a question as to whether potential crosstalk between glycolytic dysregulation and electrophysiological dysfunction exists. MethodsWe therefore assessed the impact of PFKFB2 loss on cardiac electrophysiology using a cardiomyocyte-specific PFKFB2 knockout mouse model (cKO) and litter-matched controls (CON). To do so, we employed electrocardiography in the fed state and following 12 hours of fasting, examining physiology both at baseline and in the presence of an acute stimulant stress. To further investigate the arrhythmia mechanism, we used patch-clamp electrophysiology and IonOptix Ca2+ transient measurements in ventricular cardiomyocytes isolated from CON and cKO hearts. ResultsThe hearts of cKO mice exhibited prolonged repolarization, marked by QT and action potential duration prolongations. This occurred with impaired Ca2+ reuptake and increased spontaneous Ca2+ release events in ventricular cardiomyocytes. Ultimately, these changes culminated in ventricular tachyarrhythmia in cKO mice, which was enhanced in the fed relative to the fasted state. ConclusionThese data suggest that in the presence of sufficient glucose availability, cardiac glycolytic dysregulation at the phosphofructokinase nexus is sufficient to promote cardiac electrophysiological instability. Clinical PerspectiveO_ST_ABSWhat is KnownC_ST_ABSO_LIMetabolic heart diseases, such as heart failure with preserved ejection fraction and diabetic cardiomyopathy, are associated with heightened risks of arrhythmogenesis and sudden cardiac death. C_LI What the Study AddsO_LIHere, we show for the first time that PFKFB2 is decreased in human hearts with heart failure with preserved ejection fraction. C_LIO_LIFurthermore, we show that loss of cardiac PFKFB2 is sufficient to promote impaired ventricular repolarization at baseline and ventricular tachyarrhythmia upon stress test. C_LIO_LIThis identifies PFKFB2 stabilization and activation as key potential targets in conferring electrophysiological stability in metabolic heart disease. C_LI

physiology↗

bioRxiv2025

β2 adrenergic receptors orchestrate neutrophil demargination and recruitment to the ischemic heart following myocardial infarction.

Neutrophils play a crucial role in instigating inflammation as well as its resolution post-myocardial infarction (MI). Although granulopoiesis in the bone marrow (BM) is the major source of cardiac neutrophils post-MI, infiltration of neutrophils to the heart occurs much quicker than peak granulopoiesis. These observations suggest that sources other than granulopoiesis may supply neutrophils to the heart during the early hours post-MI. Using a combination of flow cytometry, BM ablation of hematopoietic stem cells, confocal microscopy and multiple proteomics analysis, we found that the first wave of neutrophils recruited to the ischemic heart is exclusively sourced from vasculature and not from granulopoiesis in the BM/ spleen. The MI-evoked neutrophilia during the early hours bore all hallmarks of demargination induced by classical demarginating agents such as dexamethasone/ norepinephrine (NE). Various pharmacological and genetic strategies aimed at suppressing NE synthesis or disruption of {beta}-AR signaling reduced both neutrophil demargination as well as recruitment to the heart. Interestingly, however, despite a marked reduction in cardiac neutrophil burden only short-term inhibition of {beta}-ARs improved cardiac remodeling and function. Our findings support a pharmacological strategy to contain the initial onslaught of neutrophils on the ischemic heart using {beta}2-AR blockers to regulate the otherwise runaway inflammatory response.

immunology↗

bioRxiv2025

Kinetic mechanism of Renilla luciferase guides induced-fit engineering for improved bioluminescence

Luciferases are widely used bioluminescent reporters, yet the molecular determinants of their catalytic efficiency and light-emission stability remain incompletely understood. Here, we reconstruct the complete catalytic pathway of Renilla luciferase by combining steady-state, transient, and temperature-dependent kinetics with crystallography and molecular simulations. We show that the enzyme is substantially undersaturated with oxygen (Km,O2 = 719 M), causing its true turnover number (kcat = 21.9 s-1) to be systematically underestimated. Concurrently, elevated oxygen drives irreversible enzyme inactivation after ~1,500 turnovers, revealing a fundamental trade-off that limits oxygen-affinity engineering. Instead, the genuine bottleneck of the catalytic cycle is the induced-fit conformational opening of the product-bound enzyme. Selective engineering of this transition step through rational loop grafting yielded a variant AncFT-L14 with enhanced catalytic efficiency and glow-type bioluminescence with substantially slower signal decay in cell lysates. Collectively, our results identify conformational dynamics as a primary tunable determinant of luciferase function. More broadly, this work establishes a mechanistically grounded framework for the development of next-generation bioluminescent tools and for engineering enzymes controlled by dynamically gated ligand exchange.

biochemistry↗

bioRxiv2024

From Cardiac Myosin to the Beta Receptor: Autoantibodies Promote a Fibrotic Transcriptome and Reduced Ventricular Recovery in Human Myocarditis

BackgroundMyocarditis leads to dilated cardiomyopathy (DCM) with one-third failing to recover normal ejection fraction (EF50%), and there is a critical need for prognostic biomarkers to assess risk of nonrecovery. Cardiac myosin (CM) autoantibodies (AAbs) cross-reactive with the {beta}-adrenergic receptor ({beta}AR) are associated with myocarditis/DCM, but their potential for prognosis and functional relevance is not fully understood. MethodsCM AAbs and myocarditis-derived human monoclonal antibodies (mAbs) were investigated to define pathogenic mechanisms and CM epitopes of nonrecovery. Myocarditis patients who do not recover ejection fraction (EF<50%) by one year were studied in a longitudinal (n=41) cohort. Sera IgG and human mAbs were investigated for autoreactivity with CM and CM peptides by ELISA, protein kinase A (PKA) activation, and transcriptomic analysis in H9c2 heart cell line. ResultsCM AAbs were significantly elevated in nonrecovered compared to recovered patients and correlated with reduced EF (<50%). CM epitopes specific to nonrecovery were identified. Transcriptomic analysis revealed serum IgG and mAb 2C.4 induced fibrosis/apoptosis pathways in vitro similar to isoproterenol treated cells. Sera IgG and 2C.4 activated PKA in an IgG and {beta}AR-dependent manner. Endomyocardial biopsies from myocarditis/DCM revealed IgG+ trichrome+ tissues. ConclusionsCM AAbs were significantly elevated in nonrecovered patients, suggesting novel prognostic relevance. CM AAbs correlated with lower EF, and Ab-induced fibrosis/apoptosis pathways suggested a role for CM AAbs in patients who do not recover and develop irreversible heart failure. Homology between CM and {beta}ARs supports mechanisms related to cross-reactivity of CM AAbs with the {beta}AR, a potential AAb target in nonrecovery.

immunology↗

bioRxiv2023

Loss of cardiac PFKFB2 drives Metabolic, Functional, and Electrophysiological Remodeling in the Heart

BackgroundPhosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFK-2) is a critical glycolytic regulator responsible for upregulation of glycolysis in response to insulin and adrenergic signaling. PFKFB2, the cardiac isoform of PFK-2, is degraded in the heart in the absence of insulin signaling, contributing to diabetes-induced cardiac metabolic inflexibility. However, previous studies have not examined how the loss of PFKFB2 affects global cardiac metabolism and function. MethodsTo address this, we have generated a mouse model with a cardiomyocyte-specific knockout of PFKFB2 (cKO). Using 9-month-old cKO and control (CON) mice, we characterized impacts of PFKFB2 on cardiac metabolism, function, and electrophysiology. ResultscKO mice have a shortened lifespan of 9 months. Metabolically, cKO mice are characterized by increased glycolytic enzyme abundance and pyruvate dehydrogenase (PDH) activity, as well as decreased mitochondrial abundance and beta oxidation, suggesting a shift toward glucose metabolism. This was supported by a decrease in the ratio of palmitoyl carnitine to pyruvate-dependent mitochondrial respiration in cKO relative to CON animals. Metabolomic, proteomic, and western blot data support the activation of ancillary glucose metabolism, including pentose phosphate and hexosamine biosynthesis pathways. Physiologically, cKO animals exhibited impaired systolic function and left ventricular (LV) dilation, represented by reduced fractional shortening and increased LV internal diameter, respectively. This was accompanied by electrophysiological alterations including increased QT interval and other metrics of delayed ventricular conduction. ConclusionsLoss of PFKFB2 results in metabolic remodeling marked by cardiac ancillary pathway activation. This could delineate an underpinning of pathologic changes to mechanical and electrical function in the heart. Clinical PerspectiveO_ST_ABSWhat is New?C_ST_ABSO_LIWe have generated a novel cardiomyocyte-specific knockout model of PFKFB2, the cardiac isoform of the primary glycolytic regulator Phosphofructokinase-2 (cKO). C_LIO_LIThe cKO model demonstrates that loss of cardiac PFKFB2 drives metabolic reprogramming and shunting of glucose metabolites to ancillary metabolic pathways. C_LIO_LIThe loss of cardiac PFKFB2 promotes electrophysiological and functional remodeling in the cKO heart. C_LI What are the Clinical Implications?O_LIPFKFB2 is degraded in the absence of insulin signaling, making its loss particularly relevant to diabetes and the pathophysiology of diabetic cardiomyopathy. C_LIO_LIChanges which we observe in the cKO model are consistent with those often observed in diabetes and heart failure of other etiologies. C_LIO_LIDefining PFKFB2 loss as a driver of cardiac pathogenesis identifies it as a target for future investigation and potential therapeutic intervention. C_LI

physiology↗

bioRxiv2023

Viscoelastic Deformability Cytometry: Ultra-high Throughput Platform for Mechanical Phenotyping of Cells in Liquid and Solid Biopsies

Due to the differences in mechanical properties between cancer cells and their benign counterparts, the mechanical characteristics of cells have emerged as a significant feature in diagnosing cancer. Consequently, measuring cell deformability as a means of mechanical phenotyping is promising for both the detection and classification of the disease. However, performing high-throughput single-cell deformability measurements on liquid or solid tissue biopsies remains a significant challenge within a clinical setting. Herein, we introduce an ultra-high throughput viscoelastic-based microfluidic platform to measure the cell mechanical properties at rates of up to 100,000 cells/s. Thanks to the viscoelastic property of the fluid, cells are focused and deformed within the same platform obviating the need for any sheath fluid. We used the presented platform for cell phenotyping in both liquid and solid tumor biopsies, such as identification of malignant lymphocytes in peripheral blood samples and glioblastoma-type cell classification from solid tumor samples. The presented platform has the potential to open new opportunities in the assessment of cancer, enable precise mechanical profiling of rare cells, and facilitate sensitive diagnostic applications.

bioengineering↗

bioRxiv2020

In-vitro and in-vivo characterization of CRANAD-2 for multi-spectral optoacoustic tomography and fluorescence imaging of amyloid-beta deposits in Alzheimer mice

The abnormal deposition of fibrillar beta-amyloid (A{beta}) deposits in the brain is one of the major histopathological hallmarks of Alzheimers disease (AD). Here we characterize curcumin-derivative CRANAD-2 for multi-spectral optoacoustic tomography (MSOT) and fluorescence imaging of brain A{beta} deposits in the arcA{beta} mouse model of AD cerebral amyloidosis. CRANAD-2 shows a specific and quantitative detection of A fibrils in vitro, even in complex mixtures, and it is capable to distinguish between monomeric and fibrillar forms of A. In vivo epifluorescence and MSOT after intravenous CRANAD-2 administration demonstrated higher retention in arcA{beta} compared to non-transgenic littermate mice. Immunohistochemistry showed co-localization of CRANAD-2 and A{beta} deposits in arcA{beta} mouse brain sections, thus verifying the specificity of the probe. In conclusion, we demonstrate suitability of CRANAD-2 for fluorescence- and MSOT-based detection of A{beta} deposits in animal models of AD pathology, which facilitates mechanistic studies and the monitoring of putative treatments targeting A{beta} deposits.

neuroscience↗

bioRxiv2019

Heterogeneity in heat shock response dynamics caused by translation fidelity decline and proteostasis collapse

Genetics, environment, and stochasticity influence the rate of ageing in living organisms. Individual Caenorhabditis elegans that are genetically identical and cultured in the same environment have different lifespans, suggesting a significant role of stochasticity in ageing. We have developed a novel microfluidic methodology to measure heat-shock response as a surrogate marker for heterogeneity associated with lifespan and have quantified the heat-shock response of C. elegans at the population, single individual, and tissue levels. We have further mathematically modelled our data to identify the major drivers determining such heterogeneity. This approach demonstrates that protein translation and degradation rate constants explain the individuality of the heat-shock time-course dynamic. We observed a decline of protein turnover capacity in early adulthood, co-incidentally occurring as the predicted proteostasis collapse. We identified a decline of intestinal response as the tissue that underlies the individual heterogeneity. Additionally, we verified that individuals with enhanced translation fidelity in early adulthood live longer. Altogether, our results reveal that the stochastic onset of proteostasis collapse of somatic tissues during early adulthood reflects individual protein translation capacity underlying heterogenic ageing of isogenic C. elegans.

bioengineering↗

bioRxiv2019

Ultra High-Throughput Multiparametric Imaging Flow Cytometry: Towards Diffraction-Limited Sub-Cellular Detection

Flow cytometry is widely recognized as the gold-standard technique for the analysis and enumeration of heterogeneous cellular populations and has become an indispensable tool in diagnostics,1 rare-cell detection2 and single-cell proteomics.3 Although contemporary flow cytometers are able to analyse many thousands of cells per second, with classification based on scattering or fluorescence criteria, the vast majority require unacceptably large sample volumes, and do not allow the acquisition of spatial information. Herein, we report a sheathless, microfluidic imaging flow cytometer that incorporates stroboscopic illumination for blur-free fluorescence and brightfield detection at analytical throughputs in excess of 60,000 cells/s and 400,000 cells per second respectively. Our imaging platform is capable of multi-parametric fluorescence quantification and subcellular (co-)localization analysis of cellular structures down to 500 nm with microscopy image quality. We demonstrate the efficacy of our approach by performing challenging high-throughput localization analysis of cytoplasmic RNA granules in yeast and human cells. Results suggest significant utility of the imaging flow cytometer in the screening of rare events at the subcellular level for diagnostic applications.

bioengineering↗

bioRxiv2019

Oscillatory Viscoelastic Microfluidics for Efficient Focusing and Separation of Nanoscale Species

The ability to precisely control particle migration within microfluidic systems is essential for focusing, separating, counting and detecting a wide range of biological species. To date, viscoelastic microfluidic systems have primarily been applied to the focusing, separation and isolation of micron-sized species, with their use in nanoparticle manipulations being underdeveloped and underexplored, due to issues related to nanoparticle diffusivity and a need for extended channel lengths. To overcome such issues, we herein present sheathless oscillatory viscoelastic microfluidics as a method for focusing and separating both micron and sub-micron species. To highlight the efficacy of our approach, we segment our study into three size regimes, namely micron (where characteristic particle dimensions are above 1 m), sub-micron (where characteristic dimensions are between 1 m and 100 nm) and nano (where characteristic dimensions are below 100 nm) regimes. Based on the ability to successfully manipulate particles in all these regimes, we demonstrate the successful isolation of p-bodies from biofluids (in the micron regime), the focusing of {lambda}-DNA (in the sub-micron regime) and the focusing of extracellular vesicles (in the nano-regime). Finally, we characterize the physics underlying viscoelastic microflows using a dimensionless number that relates the lateral velocity (due to elastic effects) to the diffusion constant of the species within the viscoelastic carrier fluid. Based on the ability to precisely manipulate species in all three regimes, we expect that sheathless oscillatory viscoelastic microfluidics will provide for significant new opportunities in a range of biological and life science applications.

bioengineering↗