Nano Letters

Spatial organization and temporal regulation of membrane components are essential for achieving complex functions in artificial cells, such as cell division and signalling. DNA-based molecular tools provide a powerful means to control biomolecular interactions with high precision. Here, we investigate the phase behavior of cholesterol-modified, star-shaped DNA nanomotifs anchored to the lipid bilayers of giant unilamellar vesicles (GUVs), by using fluorescence confocal microscopy and cryo-electron microscopy. These motifs spontaneously anchor to the lipid bilayers via hydrophobic interactions and exhibit distinct spatial organization depending on their sticky end sequences. Motifs with complementary sticky end sequences interact and distribute uniformly, while orthogonal motifs with different sticky end sequences segregate into isolated gel-like domains with limited lateral mobility. Notably, the phase separation of motifs does not require lipid phase separation, indicating that DNA-driven organization can take place independently of lipid phase separation. The behavior of this system is governed by the interplay of three key parameters: (i) hydrophobic anchoring via cholesterol, (ii) electrostatic repulsion between negatively charged DNA nanomotifs, and (iii) sticky end interactions. The observed two-dimensional phase separation of orthogonal DNA nanomotifs at the GUV interface presents a novel strategy for controlling lateral membrane organization in GUV systems. This approach would offer flexibility in membrane composition and enables molecular positioning, thereby achieving a high degree of organization on the surface in artificial cell models.

Biohybrid robots combining compliant synthetic support structures with biological actuators could enable future applications ranging from precision microsurgery to unmanned exploration. Machines actuated by living skeletal muscles are capable of adaptive behaviors, such as sensing and responding to environmental stimuli in real-time, offering functional advantages over non-biological actuators. However, typical skeletal muscle-powered biohybrid robots depend on 3D tissues which require large cell volumes and offer limited control of muscle fiber alignment, thus reducing efficiency of force generation and transduction. Here, we present a locomotive biohybrid robot powered by 2D monolayers, or thin films, of precisely aligned skeletal muscle fibers on a micropatterned hydrogel skeleton. We demonstrate how varying skeleton design parameters, ranging from material stiffness to microscale topology, impacts muscle fiber alignment and resultant actuation strains, generating forces 10X higher than previous 2D skeletal muscle actuators, improving untethered actuation longevity by [~]4500X from < 10 minutes to > 30 days, and increasing efficiency of muscle force output (force per unit volume of muscle) by 20X as compared to 3D muscles. Utilizing our optimized design for skeletal muscle thin films, we create a multi-limbed robot composed of independent muscle-powered fins capable of on/off control and frequency-dependent speed control. With these control inputs, we achieve steered multi-directional locomotion at speeds up to 4 body lengths per minute in straight movement and 1200 degrees per minute in rotational movement, highlighting potential for such actuators to be transformed into long-lasting functional soft robots.

Microtubules are central components of cytoskeletal transport systems and have been widely repurposed as active elements in motor-driven nanodevices. However, site-specific functionalization of stabilized microtubules remains a fundamental challenge, as the tubulin lattice presents chemically indistinguishable binding sites along its length. Here we report a strategy for selective end-functionalization of stabilized microtubules using DNA origami nanostructures. By coupling DNA origami to Fab fragments targeting acetylated -tubulin Lys40 within the microtubule lumen, and exploiting steric exclusion of the origami from the lattice interior, binding is confined to accessible sites at microtubule ends and lattice defects. Using a six-helix bundle origami as a minimal construct, we demonstrate selective tip labelling of gliding microtubules without perturbing kinesin-driven motility. The same structures additionally mark lattice defects, enabling dynamic visualization of defect sites during transport. Furthermore, we show that tip-bound origami can hybridize with complementary DNA strands to capture cargo from surfaces in motion, establishing programmable, end-specific loading. This approach introduces a generalizable route to spatially controlled functionalization of cytoskeletal filaments, enabling new capabilities in molecular transport, nanoscale assembly, and the study of microtubule integrity and repair.

Proteins in solution adsorb to the corona of nanoparticles such as single-walled carbon nanotubes (SWCNTs), but these interactions are difficult to predict and analyze due to ambiguities in the structure of the latter. In this work, we employ ss(GT)15-DNA wrapped SWCNTs, a commonly used fluorescent sensor construct, to examine protein adsorption by quantifying binding dissociation constants and characterizing the corresponding photophysical effects. A library of 20 proteins are used to evaluate adsorption-induced changes in photoluminescence (PL) intensity ({Delta}I/I0) and emission wavelength upon solution phase binding. We find that 15 proteins produce monotonic dose-response behavior well described using a single-site Langmuir model. Alternatively, five proteins exhibited more complex, non-monotonic behavior consistent with a two-step binding model representing protein-protein interactions coupled to adsorption. The study reveals that metalloproteins, which comprised 12 of the 20 proteins in the library, induced greater PL quenching compared with metal-free proteins for this system, with maximum binding-associated quenching ({Delta}I/I0) of 94% for metalloproteins versus 20% for metal-free proteins. For metalloproteins, we introduce a proximity-based quenching framework in which protein size provides a coarse proxy for cofactor-SWCNT separation, offering a mechanistic interpretation of the observed quenching variation across proteins. Together, these results establish the use of metal coordination sites, such as those in metalloproteins, to assist the transduction of certain nanoparticle fluorescent sensors, helping with sensor probe design and interpretation in biological environments.

Intratumoral (i.t.) delivery of nanoparticles (NPs) is widely used to achieve high local NP concentrations. However, the temporal fate of i.t.-injected NPs remains poorly understood. We present a quantitative approach using whole-body magnetic particle imaging (MPI) to track magnetic NPs (MNPs) following i.t. injection. Using fiducial-calibrated imaging, we quantified MNP mass over time in subcutaneous 4T1 breast tumors. Longitudinal imaging revealed progressive loss of i.t. MNP content and heterogeneous systemic redistribution across animals despite standardized delivery conditions. Ex vivo MPI confirmed off-target accumulation primarily in the liver and spleen, consistent with reticuloendothelial clearance pathways. Histological analysis demonstrated spatially heterogeneous i.t. MNP deposition, potentially associated with local vascular features and tumor microenvironmental heterogeneity that may influence i.t. MNP retention or MNP clearance from the tumor. These findings highlight the importance of quantitative longitudinal whole-body MPI for understanding the fate of MNPs for informing localized nanotherapy.

Transport in complex biological tissues is governed by local rheological heterogeneity at the nanoscale, yet probing such environments deep inside living systems remains challenging. Here, we introduce an orientation-sensitive single-particle tracking (SPoT) approach that simultaneously resolves translational and rotational dynamics of individual carbon nanotubes deep within biological tissue. By exploiting the intrinsic dipole-like emission and shortwave infrared luminescence of carbon nanotubes enhanced through the incorporation of quantum color-centers our method enables long-duration tracking with high signal-to-noise ratio in optically dense environments. Crucially, the length of these nanotubes can be precisely shortened down to a few tens of nanometers to adapt to diffusion environmental dimensions, further optimizing the tracking applicability. SPoT of single carbon nanotubes provides access to relative changes in local viscosity, steric constraints, and environmental anisotropy. When applied to the brain extracellular space, SPoT demonstrates that local variations in the translational and rotational diffusion of tracers are heterogeneous and not systematically correlated. This allows to disentangle the local effects of viscosity and spatial tortuosity within the brain extracellular space, which are distinct features that would otherwise remain undetected through translational diffusion analysis alone. By enabling combined translational and rotational tracking of nano-emitters over unprecedented depths and timescales, this work establishes a new framework for probing nanoscale transport and rheological heterogeneity in intact biological tissues and more generally in complex diffusive environments.

A major limitation across nanoparticle delivery platforms is sequestration within endosomal compartments, which restricts access to intracellular targets despite efficient cellular uptake. Here, we show that peptide architecture can be used to control intracellular trafficking and reduce endosomal accumulation in lipid-protein nanocarriers. Specifically, we fuse R6W3 (RRWWRRWRR), an amphipathic cell penetrating peptide, to the N- or C- terminus of the nanodisc scaffold proteins and systematically evaluate its impact on membrane interactions and cellular behavior. Structural and biophysical characterization confirms that R6W3 incorporation preserves nanodisc assembly and protein-lipid interactions, enabling direct attribution of functional differences to peptide-driven interfacial effects. R6W3-functionalized nanodiscs exhibit enhanced binding and cellular uptake, with N-terminal fusion producing the strongest interfacial interactions. In live cells, R6W3-functionalization increases endocytic activity, evidenced by increased formation of clathrin-coated pits and intracellular colocalization with clathrin-coated vesicles. Notably, R6W3-funtionalized nanodiscs display reduced accumulation in early endosomes relative to unmodified nanodiscs, indicating decreased endosomal sequestration following endosomal uptake. These trafficking differences translate to functional outcomes, as doxorubicin-loaded, R6W3-functionalized nanodiscs achieve greater cytotoxicity than unmodified controls at equivalent concentrations. Together, these results establish peptide architecture as a design parameter for controlling intracellular trafficking and overcoming endosomal bottlenecks, providing a broadly applicable strategy for improving nanocarrier- based delivery systems.

The organ-specific enrichment of drug delivery vehicles, such as lipid nanoparticles (LNPs), can be leveraged to concentrate drugs at disease sites to increase efficacy and limit toxicity. For immunostimulatory therapeutics, however, tissue accumulation beyond diseased sites may also shape drug activity by determining which organs and cell populations first sense the agonist and initiate downstream immune responses. Here, we show that the anticancer efficacy of an immunostimulatory duplex RNA (dsRNA) can be augmented using LNPs that are formulated to preferentially target the lung, which dictates the systemic pharmacodynamics of the cytokines it elicits. The immunostimulatory dsRNA was formulated into LNPs engineered for either enhanced liver-(LiverLNPs) or lung-(LungLNPs) based delivery, matched for size, encapsulation efficiency, and in vitro potency. In mice, delivery of dsRNA in LungLNPs enhanced uptake into endothelial, epithelial, and resident immune cells populations and induced substantially higher circulating levels of type I, type III interferons and proinflammatory cytokines than dsRNA formulated in LiverLNPs. This significant systemic response induced by lung-enhanced delivery required competent retinoic acid-inducible gene I and Toll-like receptor 7 signaling. Functionally, LNPs that preferentially targeted the lungs induced significantly greater suppression of tumor growth in both subcutaneous and metastatic models of melanoma. LungLNP/dsRNA also induced cytokine secretion and inhibited tumor cell proliferation in a human lung cancer-on-a-chip model. Together, these results establish that pulmonary exposure can alter systemic pharmacodynamics and therapeutic activity of immunostimulatory RNA.

Tracking immune cells deep within living tissue remains a fundamental challenge due to the diffraction-limited resolution of ultrasound imaging and the inability to resolve dense cellular populations. Here, we introduce an intracellular super-resolution ultrasound imaging framework based on stochastic phase-changing nanodroplets (NDs) and ultrasound localization microscopy (ULM). We engineer [~]170 nm perfluorocarbon NDs that undergo reversible, stochastic liquid-gas transitions under acoustic excitation, generating temporally sparse "blinking" signals. Leveraging the intrinsic endocytic activity of macrophages, these NDs are internalized, enabling intracellular contrast generation independent of vascular flow. We validate this approach across imaging scales, from controlled phantoms and in vitro systems to in vivo tumor models, demonstrating robust intracellular blinking, high cell viability, and consistent super-resolution reconstruction in dense cellular environments. The stochastic blinking of internalized NDs provides the temporal separation required to localize individual sources, overcoming a central limitation of conventional ULM. Following systemic administration, ND-labeled macrophages are tracked in vivo after homing to the liver, where super-resolution ULM resolves cellular distributions with a spatial resolution of 26.3 {+/-} 3.2 {micro}m, corresponding to a 6.1-fold improvement over diffraction-limited imaging. This work establishes a previously unexplored paradigm for ultrasound-based intracellular super-resolution imaging, enabling non-invasive visualization of immune cell organization in deep tissue. By introducing spatiotemporally programmable intracellular contrast, this approach expands ultrasound beyond vascular imaging toward functional cellular imaging, with broad implications for immunology, diagnostics, and cell-based therapies.

Membrane models of scaffolded discoidal lipid bilayers called nanodiscs have proven to be a valuable tool for the study of membrane proteins in a native environment. DNA-scaffolded membrane model has emerged as an alternative tool for membrane protein studies. Taking advantage of the designability of DNA nanostructure, we created a double-decker double-stranded DNA ring (DDring) to self-assemble DNA-based nanodiscs (DNA-ND). The DDring is 17 nm wide and 4 nm high, and equipped with 28 alkyl chains on the inside that can interact with each hydrophobic leaflet of the lipid bilayer. We further demonstrate the functionality of DNA-ND membrane model with the assembly of membrane proteins. DDrings are suited to neutral or cationic charged phospholipids and detergents. This study provides more insights into the potential use of DNA- assisted nanodiscs for membrane protein characterization.

Negatively charged DNA nanostructures, such as tetrahedral nanocages, are internalized by cells despite the electrostatic repulsion from the anionic cell membrane, and, paradoxically, cancer cells, which carry intrinsically higher negative charge due to overexpression of sialic acids on their cell surface, show markedly higher uptake than normal cells. This contradiction exposes a fundamental gap in our understanding of how these anionic nanostructures overcome this repulsion. Using chemical modulation of cell-surface sialylation in RPE1 cells to create three groups with altered sialylation levels, together with inhibitor-based dissection of endocytic pathways, we demonstrate that an increase in cell surface sialylation governs the uptake of DNA tetrahedra not through electrostatics but by structurally remodeling the cell membrane via rearrangement of the GM1 lipid raft microdomain, recruiting caveolae-mediated endocytosis as an additional pathway alongside clathrin-mediated endocytosis, thereby increasing the intake of the nanostructure. These findings reframe tumor hyper-sialylation as a determinant of the uptake of anionic nanostructures, such as DNA tetrahedra, and as a targetable parameter for rational optimization of DNA-based nanotherapeutics against cancer. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/722926v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@10eede7org.highwire.dtl.DTLVardef@124dd56org.highwire.dtl.DTLVardef@13f5355org.highwire.dtl.DTLVardef@780ecf_HPS_FORMAT_FIGEXP M_FIG C_FIG

The long non-coding RNA NEAT1 is a fundamental architect of nuclear condensates, specifically paraspeckles. While the scaffold-essential isoform NEAT1-2 has been extensively characterized, the function and dynamics of its shorter isoform, NEAT1-1, remain poorly understood. Investigating NEAT1-1 in live cells has been historically hindered by its genomic overlap with NEAT1-2. Traditional visualization study designs require either the genetic ablation of NEAT1-2, which disrupts paraspeckle integrity, or the use of bulky tandem tagging arrays, which can sterically hinder RNA folding and partitioning. Here, we implemented a non-invasive imaging strategy and performed diffusivity analysis of NEAT1-1 using the fluorescence light-up aptamer biRhoBAST. This small, high-affinity RNA tag enables high-contrast visualization of NEAT1-1 while preserving the structural integrity of both isoforms and their associated nuclear bodies. By combining imaging and fluorescence fluctuation spectroscopy, we provide characterization of NEAT1-1 within intact micro-and para-speckles. Our results reveal that NEAT1-1 is not purely sequestered within visible condensates; rather, a fraction exists in a distinct diffusive state within the nucleoplasm, likely as nanoscale complexes. These findings suggest that NEAT1-1 possesses a previously unrecognized regulatory role independent of the primary paraspeckle scaffold, offering new insights into the functional diversity of the lncRNA isoforms.

Surface functionalization of inorganic quantum dot nanoparticles is of great interest in the application of these materials toward a wide range of biological applications where membrane interactions are critical. The use of amphiphilic lipids to functionalize the surfaces of quantum dots represents a promising alternative to produce water-soluble and membrane-active materials with facile tuning of the quantum dots surface properties. Here, we demonstrate an experimental approach that yields lipid-coated quantum dots with highly tunable surface charge by controlling the concentration of cationic lipids during preparation. Through fluorescence-activated cell sorting assays, we show that these cationic lipid-coated quantum dots can enhance membrane interactions and increase membrane labeling density in live HEK293 cells. We further employed coarse-grained molecular dynamics simulations to model the lipid self-assembly process using an implicit solvent force field and subsequently model the adsorption of lipid-coated quantum dots to model membranes. Our simulations show that we can control the effective surface charge of lipid-coated quantum dots and influence the strength of adsorption to oppositely charged lipid membranes, a process that is mediated by the release of counterions at the quantum dot-membrane interface. This work supports the future development of biocompatible and water-soluble inorganic nanoparticles with highly tunable surfaces, and provides mechanistic insight into how different lipids can influence nanoparticle-membrane interactions at a molecular scale.

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.

Although the maturation state of dengue virus (DENV) particles is a key determinant of their infectivity, maturation is unusually inefficient. Fully mature and immature DENV particles are well-studied; however, little is known about partially mature particles. Moreover, single-particle structural dynamics and nanomechanical properties are unknown. Here, we observe wildtype and immature DENV particles using a single-particle approach combining high-speed AFM (HS-AFM) and 3D force mapping (3DFM). HS-AFM shows that the conformations of each morphotype are heterogeneous and dynamic in liquid, particularly partially mature virions. Tracking immature prM-E spikes elucidates their dynamic movements, which show intraviral variation and constrained independence. 3DFM measurements suggest that internal DENV structure is also heterogeneous and undergoes maturation-dependent changes, with the nucleocapsid core not occupying the full internal volume of immature virions. This approach complements current structural virology techniques and adds a new dimension to our understanding of the structural properties of viruses.

Recent advances in plasmonic biosensing and imaging have enabled label-free analysis of single biological nanoparticles. We previously developed PlAsmonic NanOapeRture lAbel-free iMAging (PANORAMA) for isolation and purification-free, digital counting and precise localization of small extracellular vesicles (sEVs), with complementary fluorescence interrogation of surface and intravesicular biomarkers for quantitative molecular profiling. The fact that no isolation and purification or isolation is needed represents a crucial advantage because various specificity, efficiency, and time-consumption issues hinder quantitatively reproducible extraction of sEVs from biological fluids. PANORAMA achieves ultrahigh refractive-index sensitivity through arrayed gold nanodisks on invisible substrates (AGNIS) fabricated by nanosphere lithography (NSL). However, despite its simplicity and low cost, NSL is frequently constrained by poor large-area uniformity, which hinders scalable fabrication. Here, we introduce nanosphere settling lithography (NSSL) as an alternative to the gold-standard Langmuir-Blodgett trough (LBT) process, enabling highly uniform, large-area monolayers with reduced process stringency. AGNIS fabricated via NSSL exhibits high refractive-index sensitivity with low spatial variability across 60 mm x 24 mm substrates, sufficient for 60-well in standard 384-well plate format. The platform demonstrates exquisite sensitivity through PANORAMA digital counting and sizing of 25, 50, and 100 nm polystyrene beads, as well as single-vesicle characterization of sEVs derived from H460 lung cancer cells. For the first time, combined PANORAMA and fluorescence imaging enables quantitative analysis of microRNA-21 (miR-21) expression in sEVs to identify "cancer-suspicious" sub-population from liver cancer patient plasma in an unbiased fashion allowing both highly sensitive detection of individual sEVs and simultaneous molecular profiling. Collectively, NSSL enables uniform, high-performance plasmonic biosensing over large areas, providing a scalable and economical pathway for high-throughput, digital single-sEV analysis and translational liquid biopsy applications.

Noninvasive monitoring of plaque inflammatory dynamics remains an unmet need. We previously developed a monocyte-mimetic nanoprobe, termed MoNP-SPION, for MRI detection of atherosclerotic lesions. Here we demonstrate MoNP-SPION enables longitudinal tracking of plaque inflammatory status in a clinically relevant mouse model. Following 16 weeks of plaque induction, mice were maintained on high-fat diet or switched to chow for 6 weeks to model persistent versus resolving plaque inflammation. MoNP-SPION-enhanced MRI was performed at 3- and 6-weeks post-adjustment, and arterial tissue was collected for histological assessment. Mice maintained on high-fat diet exhibited persistent hypointense T2* signal at the carotid bifurcation and aortic root, whereas chow-transitioned mice showed progressive signal attenuation, consistent with histological evidence of reduced plaque burden and inflammation. These findings establish MoNP-SPION as an effective molecular MRI probe for longitudinal assessment of plaque inflammatory dynamics, supporting its potential for monitoring atherosclerosis progression and therapeutic response.

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.

Fast extraction of physically relevant information from images using deep neural networks has led to significant advances in fluorescence microscopy and its application to the study of biological systems. For example, the application of deep networks for kernel density (KD) estimation in single-molecule localization microscopy (SMLM) has accelerated super-resolution imaging of densely labeled structures in the cell. However, localization of fluorescent molecules in dense images is a difficult inverse problem with potentially multiple solutions. To model a probability distribution of solutions to this problem, we propose a generative modeling framework for KD estimation in SMLM based on a conditional variational diffusion model (CVDM). In this framework, CVDM is trained to perform localization tasks on low-resolution measurements by modeling a distribution of high-resolution KD estimates. This approach allows us to probe the structure of the distribution on KD estimates and express uncertainty, which is not currently offered by existing deep models for localization microscopy. We demonstrate that this model permits high-fidelity super-resolution, enables the uncertainty estimation of regressed KD estimates, and has important implications for image restoration in single-molecule and super resolution microscopy.

Curcumin-functionalized gold nanoclusters are promising platforms for catalysis and drug delivery, yet the molecular determinants of their stability, morphology, and solvent response remain unclear. Here, microsecond all-atom molecular dynamics simulations are employed to investigate a 2 nm gold nanoparticle noncovalently coated with different curcumin forms, including neutral enol and trans-keto tautomers, the deprotonated enolate, and their mixtures in water-ethanol and water-methanol solvents. Layer-resolved analyses of radius of gyration, density profiles, and surface coverage reveal that neutral enol and trans forms generate compact assemblies with near-complete surface coverage, whereas enolate-rich systems adopt more expanded conformations with solvent-exposed molecules. Mixed systems preserve these intrinsic packing characteristics while improving overall coverage. Solvent substitution from ethanol to methanol reduces {pi}-{pi} stacking, strengthens Au-curcumin interactions, and increases surface coverage, yielding more compact nanostructures. Free energy and potential of mean force calculations indicate that deprotonated curcumin most effectively screens Au-Au interactions and stabilizes dispersed nanoparticles, while neutral tautomers provide moderate stabilization. Curcumin also enhances the loading of anticancer drug doxorubicin (DOX) onto Au nanoparticles, improving biocompatibility. Enolate(An)-containing systems produce extended structures with weaker membrane interactions, whereas neutral curcumin complexes form compact, positively charged assemblies that strongly bind to negatively charged cancer cell membranes. These findings clarify how tautomeric state and solvent environment cooperatively govern interfacial organization and colloidal stability, establish design guidelines for curcumin-based gold nanocarriers in catalysis, sensing, and drug delivery applications.