ACS Nano

Viral diagnostics during early phases of infection are often limited by target scarcity and the deployment tempo. We significantly advance both quantitative accuracy and diagnostic throughput of viral agglutination assays with Immuno-Janus Particle (IJP) aggregation behavior that "flicker" stochastically with size-dependent statistics. By scrutinizing microscale blinking patterns of time series fluorescent videos, we decipher Brownian dynamics of individual IJP-Virus conjugates and IJP aggregates via windowed Ito stochastic analysis (termed the Culsans method). High-frequency rotational fluctuation is deconvolved from corrupting drifts caused by gravitational sedimentation and Brownian translational motion. This methodology enables a non-linear mapping of angular positions of detected IJPs and IJP aggregates to extract rotational diffusivity (Dr) (and subsequently overall construct size) with superior linearity (R2[≥]0.85). The aggregation behavior exhibits a maximum when the IJP and viral particle concentrations are equal. The virion-bridged IJP-IJP conjugates significantly shift the detectable hydrodynamic diameter in the Poisson limit of reduced virus concentration with respect to IJPs, pushing the limit of detection (LOD) to 103 - 104 virions per mL in untreated human plasma. This tunable platform offers a rapid, low-volume, and scalable alternative to lab-based RT-PCR, bridging the gap between virion sensitivity and field-readiness.

Biomarker analysis requires detecting analyte classes that span nucleic acids, proteins, small molecules, and metabolites, yet testing remains fragmented across target-specific assays and instruments. Here we report a molecular information-transduction strategy that converts target recognition across molecular classes into a common, error-tolerant DNA code readable by nanopore sequencing. Target recognition triggers a hybridization chain reaction that generates concatemers containing periodically repeated 10-nucleotide target-specific barcodes. A matched-filter decoder exploits this periodicity and the linear scaling of read length with match count to reject spurious matches by two to three orders of magnitude. Multi-class detection is demonstrated for a small molecule (ATP), two cardiovascular-associated microRNAs and thrombin in singleplex and multiplexed assays. By separating molecular recognition from sequence readout, this architecture provides a modular framework for converting heterogeneous analytes into a shared, redundancy-encoded signal for high-fidelity molecular sensing.

Mechanotransduction plays a fundamental role in regulating immune cell function, yet how engineered virus-like nanospikes engage mechanosensitive signaling pathways to modulate innate immunity remains poorly understood. Here, we report virus-like nanotopography as a previously unrecognized regulator of Piezo1-mediated mechanotransduction in macrophages using virus-like mesoporous silica nanoparticles (VLPSi) with tunable rigid nanospike lengths. We demonstrate a direct structure-activity relationship between nanospike geometry and Piezo1-dependent Ca{superscript 2}+ influx, with longer nanospikes inducing significantly greater intracellular Ca{superscript 2}+ signaling. Building on this mechanistic insight, we developed biomimetic cancer cell membrane (CM)-coated, MSA-2-loaded VLPSi nanoparticle (CM/MSA-2@VLPSi) and investigate the combination of nanospikes-activated Piezo1 with STING signaling and CM antigens presentation in macrophage immune reprogramming. The resulting biomimetic nanoparticles robustly activate the STING-TBK1-IRF3/NF-{kappa}B axis, increase IFN-{beta} and pro-inflammatory cytokine production, and promote macrophage polarization toward M1 phenotype in a spike-length-dependent manner. Collectively, the present study provides a biomimetic strategy for enhancing the M1 polarization of macrophage through the coordinated regulation of mechanical, inflammatory, and antigenic signals.

Antimicrobial resistance motivates the development of approaches capable of probing nanoparticle-bacterium interactions with nanoscale sensitivity. Here, synchrotron infrared nano-spectroscopy (SINS) is applied to investigate interactions between carbohydrate-coated silica nanoparticles and the Gram-negative model bacterium Escherichia coli at the single-cell level. Silica nanoparticles (SiO2) were coated with mannose, maltose, or trehalose to evaluate how surface carbohydrate chemistry influences their interactions with the bacterial envelope. Correlative electron microscopy revealed pronounced association of carbohydrate-SiO2 with the bacterial envelope, with features consistent with localization within the periplasmic region, whereas bare-SiO2 showed no detectable association. SINS measurements acquired directly on bacterial cells and at bacterium-nanoparticle interfaces revealed distinct, carbohydrate-dependent spectral signatures. Quantitative analysis of the amide I band used the I/I{beta} ; ratio, which describes the relative contributions of -helical and {beta}-sheet protein secondary-structure components, together with interface-dependent band-position analysis to characterize local spectral perturbations. Carbohydrate-SiO2 produced systematic changes in the I/I{beta} ; ratio, including at locations where nanoparticles were not directly observed, indicating that their effects extend beyond the sites of nanoparticle association. Comparison of measurements acquired on bacterial surfaces and at bacterium-nanoparticle interfaces further revealed that carbohydrate chemistry modulates both the magnitude and spatial extent of these spectral perturbations. Trehalose-SiO2 produced the largest interface-dependent amide I band shifts and a spectral component consistent with random-coil structures. Overall, these results demonstrate that carbohydrate surface chemistry modulates nanoscale protein conformational perturbations at the nano-bio interface and highlight SINS as a powerful approach for resolving chemically localized molecular responses at single-cell interfaces.

The molecular programmability of nucleic acids has facilitated the development of architected DNA/RNA nanostructures and their applications in novel materials and technologies. We report how different types of DNA and RNA nanoaggregates, bundling digital information encoded into oligo libraries, can be formed by manipulating the ionic strength of the solution. As DNA or RNA suspensions are immersed in solutions of increasing salt concentrations, we observe the onset of aggregation. Further increase in ionic strength leads to the formation of stable, reproducible, and well-defined aggregates. We show that these nanoaggregates are kinetically trapped at room temperature, stably partition DNA libraries that encode image files, and support file-specific random access by bundling DNA libraries with unique address oligos. The nanoaggregate files can be disrupted and reformed into scrambled bundles using simple external fluid shear or temperature annealing, rapidly obfuscating the data. We term these nanoaggregates nucleic acid PACKeTs: Partitioned Aggregates of Colloidal DNA/RNA through Kinetic Trapping. Overall, the results demonstrate how gaining fundamental insights into ionic colloidal aggregation enables new forms of manipulation of DNA and RNA libraries. This understanding could lead to novel functionalities including kinetically trapped data partitioning, random access, and data encryption or obfuscation.

The blood-brain barrier (BBB) constitutes a major bottleneck for the systemic delivery of most therapeutic agents to the central nervous system. Here, we report near-infrared reversible optoacoustic modulation of the BBB permeability (NIR-ROAMBBB), leveraging endothelial tight junction targeting hyperbranched gold nanoconstructs (HBGNCs) to amplify localized optoacoustic transduction under femtosecond laser excitation. We first synthesized HBGNCs with tunable particle sizes (62-150 nm) and consistent branch morphologies via a seed-mediated growth approach, and uncovered a non-monotonic relationship between particle dimension and optoacoustic output, where the 62 nm HBGNCs generated nearly twofold stronger optoacoustic signal than gold nanorods and gold nanostars under matched excitations. Conjugation with BV11 antibodies against junctional adhesion molecule A increased HBGNC endothelial association and cerebral accumulation, enabling focal and fluence-dependent transient BBB opening (3-6 h) under 800 nm femtosecond pulsed laser excitation, as validated by in vitro trans-endothelial electrical resistance measurements, ex vivo Evans blue extravasation staining, and in vivo NIR imaging. Featuring deep tissue penetration of NIR light, robust optoacoustic conversion of HBGNCs, and negligible femtosecond laser-induced photothermal damage, this non-invasive strategy enables precise focal modulation of BBB permeability and potential drug delivery.

Urothelial carcinoma (UC) is among the most common malignancies worldwide and is known to exhibit a high recurrence rate. The relative lack of validated, non-invasive biomarkers for the disease challenges early detection and negatively impacts patient outcomes. The linear polysaccharide hyaluronan (HA) has been recognized as a potential source of diagnostic information for UC, with its urinary concentration shown to be predictive of disease severity. Here, we use solid-state nanopore (SSNP) sensing to investigate the value of urinary HA size distribution as an independent and complementary predictor of UC. We show that, when combined with urinary concentration, HA size distribution provides a significant improvement to the differentiation of healthy individuals from those with urinary tract diseases in general (AUC = 0.91, p < 0.05), as well as differentiation of individuals with UC from those without (AUC = 0.87, p < 0.05). These results establish the potential of SSNP-based HA profiling for non-invasive diagnostics of UC.

Single-molecule protein sequencing promises to democratize clinical proteomics, but platforms retrofitting static DNA-sequencing nanopores face a fundamental biophysical bottleneck: they only measure one-dimensional excluded volume. Consequently, these static calipers struggle to resolve isobaric residues, requiring complex DNA-handle chemistries and target concentrations that exceed clinically relevant abundance ranges. Here, we introduce a dynamical, target-docking translocase engine--the anthrax toxin protective antigen (PA)--as a label-free single-molecule peptide sensor. By extracting the multi-state thermodynamic friction generated as the pore's active site dynamically "breathes" around translocating analytes, we trained a physics-informed machine learning (PIML) architecture to classify a 20-member guest-host peptide library panel representing all 20 canonical amino acids at the single-event level. Operating at low nanomolar concentrations under a 35-millisecond thermodynamic read constraint, the translocase resolved isobaric variants (leucine and isoleucine). Furthermore, we achieved 98.02 (+/-0.05)% classification accuracy on a panel of five un-tagged, native clinical biomarkers (e.g., KRAS G12D, angiotensin, bradykinin). Transitioning from static volumetric measurement to time-domain thermodynamic fingerprinting establishes the requisite protein nanopore hardware for de novo proteomics.

DNA-based technologies rely on short, transient hybridization events, but selecting sequences with desired kinetic properties remains largely empirical because hybridization kinetics are difficult to predict from sequence and slow to measure one sequence at a time. Here, we introduce SPARXS-Hyb, an implementation of SPARXS (Single-molecule Parallel Analysis for Rapid eXploration of Sequence space) for multiplexed sequence-resolved screening of DNA hybridization. Using a surface-immobilized docking-strand library and a quencher-labelled imager-strand library, we screened 128 different DNA sequences in a single kinetic measurement, exposing all sequences to identical experimental conditions. This multiplexed approach removes a major confounding factor of serial measurements, allowing sequence-dependent differences to be compared directly. The resulting dataset reveals sequence-dependent transient binding behaviours and enabled us to identify a sequence with which an order-of-magnitude higher sampling rate can be achieved in DNA-PAINT (DNA points accumulation for imaging in nanoscale topography), a super-resolution microscopy technique based on DNA hybridization. By enabling multiplexed screening across a sequence library, SPARXS-Hyb provides a route to kinetics-guided sequence selection for programmable transient interactions in DNA nanotechnology.

Single-particle tracking is widely used to probe nanoscale dynamics in biological systems, yet most approaches rely exclusively on translational motion, overlooking rotational dynamics that offer complementary information about the local physical environment. Here, we present a simultaneous rotational and translational single-particle tracking approach using a vortex-engineered point spread function in a single detection channel. We validate this approach with static and freely diffusing nanorods, demonstrating accurate orientation recovery and quantitative agreement with theoretical predictions of rotational diffusion. Using a biomimetic lipid bilayer system, we show that translational and rotational diffusion exhibit distinct sensitivities to environmental perturbations, confirming that these two modalities capture complementary local environment information. Applying this framework to living HeLa cells, we show that combined translational and rotational diffusion signatures define distinct biophysical fingerprints of cytoplasmic and endocytic compartments and reveal compartment-specific responses to metabolic perturbation. Finally, time-resolved analysis of individual endocytic compartments uncovers dynamic changes in the local physical environment that are inaccessible to conventional translational tracking. By coupling translational and rotational readouts, this framework opens a new dimension for probing the physical organization and dynamics of living systems at the nanoscale.

The formation of magnesium pyrophosphate (Mg2P2O7) in nucleic acid amplification and cell-free transcription systems has attracted considerable attention, since Mg2P2O7 serves as a reliable indicator of reaction efficiency. However, real-time monitoring of Mg2P2O7 remains challenging, relying largely on time-consuming analytical techniques or end-point detection methods. Here, we report a Mg2P2O7-driven co-aggregation mechanism involving glutathione-capped gold nanoclusters (GSH-AuNCs) that induces fluorescence enhancement, enabling real-time crystal formation monitoring. The mechanism was first investigated in simplified mixtures containing pyrophosphate (P2O74-) and magnesium (Mg2+) ions. Real-time fluorescence profiles revealed that the GSH-AuNCs/Mg2P2O7 co-aggregation can be correlated with crystal formation/growth/solubilization and solution turbidity, while distinct kinetic patterns can be indicative of the crystal size at the end of the reaction. As a next level of complexity, we examined the effects of common components in an enzymatic amplification reaction, i.e., dithiothreitol (DTT), ammonium sulfate ((NH4)2SO4), deoxynucleotides (dNTPs) and Bst polymerase, on Mg2P2O7 formation through real-time GSH-AuNCs fluorescence variations. Guided by the above results, we studied and selected the experimental parameters for the design of an optimized qualitative (end-point) or quantitative (real-time) genetic test. Finally, the loop-mediated isothermal amplification (LAMP) was used as a platform to demonstrate the quantification of Influenza A RNA within the range of 102-108 copies/reaction. The resulting one-tube, contamination-free assay was shown to have a response time of <25 min even in a crude saliva sample. Beyond diagnostics, this crystallization-activated fluorescence strategy may also support real-time investigation of Mg2P2O7 formation in other biotechnological processes, including in vitro transcription and Mg2P2O7-bioorganic composites synthesis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/744482v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@96dd88org.highwire.dtl.DTLVardef@aa122dorg.highwire.dtl.DTLVardef@18f4abforg.highwire.dtl.DTLVardef@745f1e_HPS_FORMAT_FIGEXP M_FIG C_FIG

Investigating the conformational dynamics of intrinsically disordered proteins (IDPs) is essential to understanding how their structural heterogeneity underlies function and how their dysregulation contributes to diseases. Here, we utilized an MspA nanopore-based approach for studying the conformational dynamics and interactions of IDPs at the single-molecule level. The platform was demonstrated using the intrinsically disordered transactivation domain of tumor suppressor p53 (p53-TAD), one of the important proteins in cancer biology. We showed that MspA can stably capture p53-TAD and resolve up to six distinct current states with frequent interconversions, revealing a rich conformational landscape. The nanopore also detected the effect of a cancer-associated double mutational variant, N29K/N30D. Combining experiments with steered molecular dynamics simulations, we showed that the mutant sampled compact conformational states more frequently than wild type, consistent with previous NMR studies. Importantly, the MspA platform enabled direct monitoring of E3 ligase MDM2 binding to p53-TAD and resolved how this interaction is inhibited by anti-cancer compound epigallocatechin gallate (EGCG). Notably, EGCG stabilizes one of the six states sampled by p53-TAD, providing a mechanistic explanation for its inhibitory effect. Together, these findings demonstrate the promise of the nanopore platform for label-free monitoring of IDP conformational dynamics, modulation, binding and inhibition at single-molecule resolution.

The collective spatial phenomenon of complement protein opsonization on nanoparticle surfaces is a key component of the immune response to viruses, engineered nanoparticles, and diseased cells. Recent work showed this opsonization follows a sharp, percolation-like transition versus the spacing d between surface-bound attachment sites, leaving two open questions: 1) whether the transition exhibits hallmarks of true criticality, such as diverging susceptibility, and 2) whether it can be distinguished from an alternative first-order cooperative (Hill-type) process producing an equally sharp threshold without true criticality. Here, we resolve both questions using a hierarchical statistical-mechanics treatment spanning stochastic, mean-field, and spatial reaction-diffusion models. The variance of two order parameters, peak complement activity and activation lifetime, diverges near threshold and sharpens systematically with system size, the defining signature of a critical point rather than a smooth cooperative response. Extending the analysis across site spacing and intrinsic kinetic rate constants traces a two-dimensional locus of critical points with consistent critical exponents throughout, establishing a single, robust universality class. The mean-field dynamic exponent for activation lifetime agrees quantitatively with the exact value predicted for the general epidemic process. Finally, a reaction-diffusion model of the nanoparticle surface shows the critical locus is set by a diffusion-limited length scale, establishing complement percolation as a fundamentally transport-limited surface reaction. These results place complement activation within the percolation universality class and identify the physical parameters, diffusion, catalysis, and decay, that govern its critical threshold, with direct implications for rational design of complement-evading nanomaterials, immunology, and evolutionary biology.

Activation of the STING pathway can induce potent antitumor immunity, but effective delivery of STING agonists to the tumor while limiting systemic exposure remains challenging. We previously developed MUSIC, an ultrasound-guided platform that uses microbubbles (MBs) to deliver the STING agonist 2'3'-cGAMP and locally activate antitumor immunity. However, the vascular confinement of MBs and the need for intratumoral administration limit the potential for systemic tumor targeting. To overcome these limitations, we developed SONATA (Systemic Oncotherapy using Nanobubbles for Acoustically-guided Tumor Activation), which employs nanobubbles (NBs) that are approximately 10-fold smaller than conventional MBs, enabling systemic administration and tumor extravasation. Following NB accumulation within tumors, ultrasound exposure triggers localized cGAMP release, facilitating delivery to targeted CD11b+ antigen-presenting cells (APCs) and STING activation with spatial and temporal control. NBs are composed of the same components as MBs, including phospholipid shells and a perfluorobutane core and are functionalized with anti-CD11b antibodies to target CD11b+ APCs and spermine-modified dextran to stably load cGAMP through nanocomplex formation. Upon ultrasound activation, SONATA induced phosphorylation of STING, TBK1, and IRF3 and increased IFN-{beta} production in bone marrow-derived macrophages. In an orthotopic breast cancer model, intravenously administered SONATA combined with tumor-localized ultrasound significantly inhibited tumor growth compared with controls. Furthermore, SONATA synergized with immune checkpoint blockade prolonged the median survival of tumor-bearing mice. Collectively, these findings establish SONATA as a systemically administered immunotherapy platform that enables ultrasound-guided, spatially controlled STING activation.

Tunneling nanotubes (TNTs) are actin-supported membrane bridges that mediate long-range intercellular communication and direct transfer of signaling molecules, organelles, and pathogenic cargo, yet the physicochemical mechanisms underlying their formation and organization remain poorly understood. Here we show that TNT-like intervesicular connections emerge from minimal physicochemical interactions between actin filaments and lipid membranes. Upon Mg2+ exposure, actin-encapsulating vesicles spontaneously generated actin bundle-embedded lipid nanotubes (AT-LNTs) that formed stable intervesicular networks. Mg2+ simultaneously induced actin polymerization, filament bundling, and electrostatic recruitment of F-actin to phosphatidylcholine membranes, enabling membrane tubulation without actin-binding proteins. Systematic perturbation of membrane phase, membrane tension, Mg2+ concentration, ionic strength, and actin concentration revealed that AT-LNT formation occurs only within a narrow physicochemical regime where membrane deformation and actin-membrane coupling are simultaneously permissive. The resulting AT-LNTs reproduced key structural and dynamic features of cellular TNTs, including bundled organization, helical unwinding, lumenal diffusion, and spontaneous bridging between synthetic vesicles and living cells. These findings establish a minimal biophysical framework for understanding the emergence of intercellular membrane connections in living systems and provide a foundation for engineering communication between synthetic and living cell.

Erythrocytes, commonly known as red blood cells (RBCs), constitute the most abundant cell type in vertebrate mammals. Due to their unique biological and physical attributes, RBCs have been the focus of extensive research in biomedical engineering. Methods have been developed to transform RBCs into adaptable carriers for molecular payloads, thereby extending their functional capabilities beyond what they naturally transport and accomplish. Concurrently with RBCs applied science, cell-free gene expression (CFE) has advanced into a tractable technology that can be integrated with a broad range of materials. In this work, we harness the advantages of CFE to engineer RBCs into hybrid synthetic cells. We encapsulate CFE reactions within RBC ghosts to execute elementary gene circuits, including biosensors, and to synthesize phages from their genomes. Furthermore, we engineer and functionalize the outer membrane of mature RBCs to attach diverse payloads, such as a SARS-CoV-2 antigen recognized by a specific antibody. CFE interfaces remarkably well with RBCs, enabling their rapid, low-cost transformation into red blood synthetic cells (RBSCs) with potential biomedical and biotechnological applications.

Many bacterial species naturally secrete membrane vesicles (MVs) that mediate the intercellular transport of biomolecules, including nucleic acids, proteins, and metabolites. Beyond their native physiological roles, MVs hold considerable potential for biomedical applications. Here, we demonstrate that MVs from several Bacillus species exhibit potent intrinsic adjuvant activity, efficaciously eliciting immune responses and facilitating antigen-specific antibody production in mice. Exploiting this adjuvanticity, we engineered a highly adaptable universal vaccine platform that uses B. subtilis MVs as self-adjuvanting carriers. This system employs a modular "plug-and-display" architecture that covalently anchors recombinant antigens to the MV surface through a multi-step bioconjugation cascade. After validation of this methodology using a model antigen, we adapted the platform to target Yersinia pestis, the causative agent of plague. We formulated a Y. pestis vaccine by labeling the MV surface with a modified capsule antigen fraction 1 (mCaf1). Intranasal administration of the mCaf1-MV vaccine effectively elicited both systemic and mucosal immunity. Crucially, this vaccine conferred highly efficacious protection against a lethal Y. pestis infection in a murine model. These findings demonstrate the exceptional protective efficacy of the B. subtilis MV platform and highlight its broad potential for the rapid development of mucosal vaccines against diverse emerging pathogens.

Macrophages are highly dynamic cells that maintain tissue homeostasis by regulating both initiation and resolution of inflammation. During efferocytosis, macrophages recognize the eat me signal, phosphatidylserine (PS), exposed at the surface of apoptotic cells, leading to the resolution of inflammation and acquisition of a pro-resolving phenotype. Inspired by this endogenous mechanism, PS-based biomaterials have demonstrated immunomodulatory potential. However, the molecular mechanisms underlying PS-mediated macrophage reprogramming remain poorly understood. Here, submicron PS-exposing polymeric particles (PSPs; [~]300 nm) were developed to improve the suitability of PSP formulations for future systemic administration while preserving their immunomodulatory activity. PSPs were efficiently internalized by macrophages through both actin- and dynamin-dependent pathways. PSP treatment significantly reduced IL-6 and IL-12p70 production in LPS-stimulated macrophages, whereas induction of the classical anti-inflammatory M2 marker CD206 was limited. Transcriptomic analysis revealed coordinated attenuation of inflammatory signaling pathways, including downregulation of Myd88, Nfkb1, Rel, and Irf8, together with activation of NRF2-associated antioxidant pathways characterized by increased expression of Nfe2l2, Hmox1, Prdx1, Gclm, and Gclc. Activation of antioxidant-associated genes together with reduced Irf8 expression suggests that PSP promotes inflammatory resolution through coordinated redox adaptation and selective attenuation of inflammatory signaling. Collectively, these findings provide mechanistic insight into PS-mediated macrophage reprogramming and support the future development of systemically administered therapies for chronic inflammatory diseases, including vascular inflammatory disorders. HighlightsO_LISubmicron PSPs retain immunomodulatory activity of apoptotic cell-mimicking biomaterials. C_LIO_LIPSPs are rapidly internalized through actin- and dynamin-dependent pathways. C_LIO_LIPSPs attenuate inflammatory signaling and selectively suppress IL-6 and IL-12p70 production. C_LIO_LIPSPs induce NRF2-associated antioxidant and glutathione responses. C_LIO_LITranscriptomics reveals an early redox-adaptive macrophage program. C_LI

Weak, reversible interactions underpin biomolecular recognition, and single-molecule fluorescence (smF) imaging techniques can provide unprecedented insight into those biological processes. Unfortunately, such studies often require micromolar concentrations of fluorophore-labeled biomolecules, which is beyond the accessible range of conventional smF microscopies. Here, we describe a surface-functionalization method based on cloud-point polyethylene glycol (PEG) grafting that enables widefield smF microscopy measurements at micromolar concentrations without the use of nanophotonic devices. Using conventional total internal reflection fluorescence (TIRF) microscopy, we detected single-molecule fluorescence resonance energy transfer (smFRET) from surface-tethered, donor-labeled target molecules with up to 8 micromolar concentrations of freely diffusing, acceptor-labeled analyte molecules in the background--two orders of magnitude higher than typical studies in the literature. Weak, DNA-hybridization and protein-RNA binding equilibria were measured across micromolar range titrations. Together with advances in high-background data analysis, the robust method presented here enables kinetic and thermodynamic analyses of weak biomolecular interactions, especially those limited by nonspecific adsorption and high fluorescence backgrounds, using only standard smF instrumentation.

Synthetic mRNA can be used to reprogram biological systems and is increasingly used in vaccines, gene therapies and other advanced therapeutics. However, measuring mRNA abundance, molecular integrity and biological effects in complex samples remains challenging. Existing assays typically quantify short transcript regions or infer delivery from lipid or protein readouts. Here we present a long-read nanopore sequencing method that directly quantifies synthetic mRNA in complex cell and tissue samples. The approach enables absolute quantification of full-length synthetic mRNA, maps degradation at nucleotide resolution and simultaneously profiles associated host transcriptional responses. Applied to lipid nanoparticle (LNP) delivered mRNA in mice, the method revealed tissue-specific delivery and degradation patterns and uncovered a critical disconnect between mRNA accumulation and protein expression across organs. This approach enables integrated measurement of mRNA fate, integrity and biological responses, and will enable mechanistic studies of RNA delivery, stability, translation and innate immune recognition.