Nano Letters

Scanning ion conductance microscopy (SICM) provides gentle, non-contact cell surface imaging, but it has not been used to investigate intracellular structures because the plasma membrane restricts nanopipette access. Here, we combined SICM with microsonication-based cell de-roofing to expose intracellular actin stress fibers (SFs) in U2OS cells for nanotopographical and -mechanical characterization. Importantly, the de-roofing conditions preserved actomyosin contractility, allowing analysis of SF structural and biomechanical changes during ATP-induced contraction. Resting SFs displayed an average height of 203{+/-}38 nm and width of 357{+/-}73 nm, and a complex surface architecture characterized by regularly spaced long-range height modulations (~500 nm periodicity; Wq ~25 nm) and smaller irregular corrugations (Ra ~19.2 nm). ATP stimulation reduced SF height and width by ~39% and ~15%, respectively, while largely preserving surface corrugation patterns. During contraction, some SFs separated into two longitudinal strands. High-resolution SICM imaging also revealed filamentous crosslinks mechanically coupling neighboring SFs, and nanomechanical measurements demonstrated local stiffening during contraction. These findings provide new insight into the structural and mechanical regulation of SF contraction and highlight the potential of SICM combined with cell de-roofing as a powerful platform for studying dynamic intracellular processes at nanometer resolution.

The protein corona influences the in vivo biodistribution of ionizable lipid nanoparticles (LNPs) in nucleic acid delivery, yet its structural architecture remains poorly defined. Using cryo-transmission electron microscopy, we visualized LNP-protein interactions in their native state. We show that, unlike the discrete "fuzzy" shells observed on hard nanoparticles, LNPs displayed no peripheral protein shell. Instead, controlled incubation and competitive "dual-particle" assays, supported by molecular dynamics simulations, indicate that LNP membranes undergo localized thickening and electron-dense remodeling consistent with lipoprotein integration rather than surface adsorption. Similar features were observed in extracellular vesicles, suggesting this behavior is shared among lipid-based carriers, and proteomic analysis identified apolipoproteins as the dominant associated proteins. Together, these findings support a model in which the biological identity of LNPs arises through membrane remodeling rather than shell-like adsorption, and provide a framework for the rational design of targeted nanomedicines. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/695162v2_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@5275d3org.highwire.dtl.DTLVardef@1b59ae4org.highwire.dtl.DTLVardef@1cc290eorg.highwire.dtl.DTLVardef@9b7bfb_HPS_FORMAT_FIGEXP M_FIG C_FIG

Direct validation of the nanoscale structural organization of membrane proteins requires localization precision that matches their molecular dimensions. The sodium-potassium pump, or the Na,K-ATPase is an integral membrane protein responsible for maintaining electrochemical gradients and cellular energy homeostasis. Although its crystal structure is characterized, the organization of the Na,K-ATPase within native plasma membranes, particularly whether it forms functional oligomers, remains an open question. Here, we combined 3D MINFLUX nanoscopy with DNA-PAINT with sub-10 nm localization precision to map the clustering topology of the Na,K-ATPase in mammalian cells. By targeting EGFP-tagged Na,K-ATPase 1 and {beta}1 subunits using anti-GFP nanobodies, we obtained high-density 3D localization maps of the protein in the plasma membrane. To evaluate the point patterns, we developed a computational data-driven spatial point assignment approach that segments apical and basal localizations, mitigating clustering artifacts produced by imaging two membranes in close proximity. Furthermore, we used a spatial statistical approach analyzing sequential nearest-neighbour distances to elucidate supramolecular arrangement information. Our data reveal a preferential nearest-neighbour distance of approximately 7 nm, providing direct visual confirmation of Na,K-ATPase dimerization. Additionally, we identified higher-order nanoclusters composed of up to 21 proteins. These findings provide definitive structural evidence of the dimeric configuration of Na,K-ATPase, establishing a foundation for future research on the functional and regulatory implications of Na,K-ATPase clustering.

Single-particle tracking (SPT) over time enables direct observation of molecular transport and interactions in living cells. Fluorescence-based SPT has provided insights into intracellular processes such as endocytosis, receptor signaling, and drug delivery. Extending the observation window to several hours and beyond is critical for capturing slow intracellular dynamics, including the full course of endosomal trafficking, the long-term accumulation of particles within subcellular compartments, and transitions between transport modes that occur on hour-scale timescales. However, long-term intracellular SPT under visible-wavelength excitation remains challenging because fluorescence probes generally suffer from photobleaching and phototoxicity. While near-infrared (NIR) excitation can simultaneously mitigate these issues, generally weak emission of NIR-emitting dyes has hindered its wide application in long-term SPT. Here, we demonstrate long-term NIR SPT using atomically precise gold quantum needles, Au42(PET)32 (PET = 2-phenylethanethiolate). Continuous tracking of intracellular particles in living HEK293 cells was achieved for up to 12 h. Trajectory analysis revealed temporal transitions between directional and diffusive transport, as well as the accumulation of multiple particles within localized intracellular domains over several-hour timescales. The high photostability of Au42, combined with low phototoxicity of NIR excitation, enables visualization of intracellular transport dynamics over timescales difficult to access using conventional visible fluorescent probes. These results establish Au42-based NIR imaging as a platform for long-term, low-phototoxicity intracellular SPT and provide a framework for investigating slow intracellular dynamics in living systems.

Light scattering in scintillators is a pervasive problem and a key factor limiting X-ray imaging resolution. Here, we shift scintillator radioluminescence from the traditional visible range into the short-wave infrared (SWIR) or near-infrared II (NIR-II, 1000-3000 nm) window to mitigate light scattering and thereby enhance light penetration and X-ray imaging resolution. We present an NIR II MgGa2O4:Ni2+ scintillator with peak emission at 1340 nm, achieving a threefold improvement in X-ray imaging resolution compared with visible scintillators owing to reduced light scattering. This heavy-metal-free NIR-II scintillator exhibits intense radioluminescence comparable to that of conventional visible-emitting CsI:Tl, achieving a detection limit of 56 nanograys per second, ~100-fold lower than typical doses used in medical imaging. We show that this NIR-II scintillator enables high-resolution X-ray radiography of electronic circuit boards and biological tissues.

Auxetic metamaterials exhibit negative Poisson's ratio behaviors due to their architecture of periodically arranged unit cells. Although mechanical metamaterials are well established at the macroscale, programmable auxetic units remain scarce at the nanoscale. DNA origami offers a promising platform to bridge this gap, but design principles for dynamically deformable 3D auxetic nanostructures remain largely unexplored. Here, we develop design strategies for such 3D auxetic metastructures built from wireframe DNA origami. As a model system, we use a 3D re-entrant triangular unit composed of double-stranded DNA (dsDNA) bundle edges connected by single-stranded DNA (ssDNA) joints. Using coarse-grained molecular dynamics (MD) and umbrella-sampling free-energy simulations, we examine how edge design and joint-connection scheme govern auxetic responses and the energetics of the structural transformation. Our results show that auxetic performance and deformation energetics emerge from the coupled effects of DNA bundle rigidity and connector mechanics at the joints. This study provides mechanistic insights and design guidelines for programmable auxetic motion and energetics in 3D DNA origami metamaterials, advancing the development of stimuli-responsive nanomechanical devices.

Although microplastics and nanoplastics (MP/NP) are pervasive environmental contaminants, our understanding of cellular toxicity remains incomplete, as adverse effects are often attributed to long-term intracellular accumulation, while the spatiotemporal onset of cellular damage remains poorly defined. Here, we employ chemical-bond-selective stimulated Raman scattering (SRS) microscopy and cell models that decouple continuous exposure from intracellular retention to directly visualize clinically derived MP/NP-cell interactions. Cellular stress occurs primarily during MP/NP exposure, accompanied by alterations in lipid droplet (LD) composition. In contrast, following extracellular removal, intracellularly retained MP/NP become largely inert, with recovery of lipid metabolism and cellular functions. Lipidomics identifies arachidonic acid (AA) as a key dysregulated metabolite, and SRS imaging further reveals transient, spatially confined AA enrichment in MP/NP-proximal LDs during uptake. Importantly, phospholipid coating of MP/NP attenuates LD alterations and cytotoxicity while preserving particle internalization, establishing uptake-driven metabolic stress, rather than long-term intracellular retention, as primary source of MP/NP-induced damage.

Lipid nanoparticles (LNPs) are conventionally produced through mixing of lipids dissolved in ethanol against a buffer containing RNA. An alternative strategy offering improved cold-chain stability involves formulating empty LNPs (eLNPs), removing ethanol, and post hoc loading (PHL) RNA into the aqueous eLNPs. The kinetics of this approach remain unknown. Here, we employ a flowthrough small-angle X-ray scattering (SAXS) setup based on a confined impinging jets (CIJ) mixer to probe PHL kinetics. We show that RNA PHL in a scalable CIJ mixer is efficient and reproducible, and that SAXS data confirms that this process concludes within ~12 ms under favorable conditions in rapid turbulent micromixing, suggesting a diffusion-limited aggregation mechanism. Favorable conditions were identified as an acidic pH 5.5 buffer combined with turbulent CIJ mixing. In contrast, PHL performed with a neutral pH 7.4 buffer using a CIJ mixer or under laminar flow with a pH 5.5 buffer resulted in inefficient PHL.

High-quality cellular imaging, especially in live cells, remains constrained by the trade-off among signal-to-noise ratio, phototoxicity, and instrumentation complexity. Here, we report a scalable plasmonic metasurface that generates a spatially ordered array of fluorescence-enhancing near-field hotspots and enables self-supervised denoised, cellular imaging with improved feature readability on a conventional wide-field microscope. The registered hotspot lattice serves as a physics-derived functional prior that identifies where fluorescence amplification is physically grounded and steers neural-network training accordingly, reducing reliance on paired ground truth, large external pretrained models, or extensive supervised datasets. We demonstrate two labeling-density-dependent operating regimes: dense labeling for cytoskeleton structural imaging and sparse labeling for multiplexed sensing of plasma-membrane-associated dynamics across the hotspot array. Our work unites scalable nanophotonic hardware and self-supervised computational imaging into a practical platform for structural bioimaging and on-chip live-cell biosensing under simple wide-field imaging conditions.

Lipophilic dyes are widely used to track extracellular vesicles (EVs), yet their labeling efficiency toward bona fide small EVs (sEVs) remains poorly defined. Here, we critically reassess this efficiency using a serum-free HEK293F system that generates endogenously fluorescent protein-tagged sEVs (sEVs-FPT) as an unambiguous positive reference, thereby minimizing interference from co-isolated, dye-labelable non-vesicular extracellular particles (NVEPs). Two orthogonal methods, nanoflow cytometry and fluorescence microscopy, were employed for cross-validation. We found that PKH26, PKH67, and DiD labeled <0.5% of sEVs-FPT, regardless of vesicle heterogeneity. In vivo tracking confirmed that dye-derived signals were far weaker than FPT signals and strikingly failed to colocalize with them. Preliminary mechanistic evidence indicates that this failure is due to an inability of sEVs to actively internalize dye aggregates. Our findings raise serious concerns about the validity of lipophilic dye-based EV tracking and call for a critical reevaluation of the relevant literature.

Implant-associated infections are driven by bacterial biofilm formation and remain difficult to eradicate using conventional antibiotic-based strategies. Here, we present a dynamically actuated reconfigurable topographical surface (DARTS) that integrates intrinsically bactericidal nanoscale surface topography with programmable mechanical actuation to achieve durable, antibiotic-free infection control. Using a scalable bottom-up nanofabrication strategy, we generate tunable wrinkled MXene topographies that exhibit contact-mediated bactericidal activity against both Gram-positive and Gram-negative bacteria without chemical leaching. Integration with a soft robotic actuator enables reversible modulation of surface geometry, which synergistically enhances bacterial removal and killing, resulting in near-complete disruption of mature biofilms. Dynamic actuation further sensitizes released bacteria to antibiotic treatment. In a mouse subcutaneous implant infection model, DARTS with actuation achieves sustained suppression of bacterial burden and markedly improves host tissue outcomes. Remote, noninvasive actuation using near-infrared laser stimulation further highlights the translational potential of this platform for implantable antibacterial applications.

Proteins are dynamic molecular machines that change shape in response to physical and chemical perturbations. Although single-molecule force spectroscopy provides precise information about the stretching of proteins in response to tunable forces, it does so without structural detail. Circular protein-DNA chimeras, with DNA attached to pairs of surface sites, have been introduced as an alternative way to tunably apply forces to proteins. Intriguingly, these chimeras should be tractable for atomic-level study by nuclear magnetic resonance (NMR) spectroscopy and other structural methods. Here, we describe the NMR-scale synthesis of circular chimeras of single- and double-stranded DNA with ubiquitin, an essential component of many cellular pathways. We designed these chimeras to probe a two-residue retraction of ubiquitin's C-terminal {beta}5 strand, normally triggered by phosphorylation of serine 65 during initiation of mitophagy. We probed the resulting conformational changes by NMR and found that the attachment of a single strand of DNA suffices to alter this conformational equilibrium. A control bearing two separate short single DNA strands recapitulated much of the circular chimera's NMR properties, supporting a dominant role for local protein-DNA interactions rather than spring-like action by single- or double-stranded DNA. These results provide a necessary benchmark for future studies using DNA springs to probe the functional dynamics of proteins.

Lipid nanoparticles (LNPs) have become a clinical standard for systemically-administered nucleic acid drugs and vaccines, but the LNP pipeline for locally-delivered LNP therapies remains much less mature. Local delivery in lung represents a particularly compelling application space for DNA-LNP therapeutics, as local gene therapies could support sustained epithelial recovery and functional restoration in various lung diseases. However, locally-delivered DNA-LNPs face multiple barriers, including the limited availability of serum components that often support conventional LNP activity, and the additional delivery barriers posed by the nucleus. We generated hybrid peptide-lipid nanoparticles (hpLNPs) for pulmonary DNA delivery by using a core-shell assembly strategy to incorporate short histone-derived peptides, selected for their DNA-transport capacity, into a clinically inspired LNP formulation. In parallel, we evaluated serum pre-coating of LNPs as a strategy to boost hpLNP activity in the serum-poor airway environment. A peptide:DNA amine/phosphate (N/P) ratio of 0.9 was identified as the highest feasible ratio to permit peptide incorporation into hpLNPs while preserving DNA encapsulation efficiency at >90%, retaining hpLNP colloidal stability, and preserving the overall pKa for LNPs. At N/P = 0.9, hpLNPs showed markedly enhanced DNA delivery in alveolar lung cells, achieving up to a 17-fold increase in transgene expression compared to peptide-free LNPs. Transgene expression levels varied depending on serum concentration, with expression peaking in the presence of 6% serum. Furthermore, serum pre-coating was necessary to enable in vivo hpLNP activity following intratracheal administration in mice, yielding robust local GFP expression. Mechanistic studies in exosome-free serum revealed that peptide incorporation in the hpLNPs enhanced transgene delivery by increasing nanoparticle interactions with serum exosome components, resulting in significant enhancements to hpLNP uptake. Together, these findings identify nanoparticle- serum interactions as a critical determinant of LNP-mediated pulmonary DNA delivery and establish peptide incorporation and serum pre-coating as promising strategies to enable robust, localized gene transfer in serum-free environments.

Rotating helices have been utilized for many purposes, including the transport of solid material and fluids within man-made machines, for a little over two millennia. Here, we show that the rotation of a biological helical molecule--a DNA duplex--can move water and ions through a nanoscale pore. While the rotation-induced flow of water is generated by the steric shape of the DNA molecule, an even faster transport of cations is caused by electrostatic interactions. The rotation-induced ion flux is found to depend on the cation type, offering potential utility for ion separation. Finally, we show that the torque-driven duplex can move ions against a concentration gradient, realizing the Archimedes screw principle at the nanoscale.

Spatial and temporal organisation of membrane-associated components is fundamental to cellular signalling, yet remains difficult to engineer in minimal synthetic systems. In synthetic cells, DNA and RNA nanotechnology offer programmable molecular organisation at membranes, while in vitro transcription (IVT) enables gene expression-driven regulation. However, integrating these systems within cell-like compartments, such as giant unilamellar vesicles (GUVs), remains challenging due to undesirable interactions between transcription machinery and nucleic acid assemblies. Here, we present a modular strategy that couples in situ RNA production to dynamic DNA localisation at GUV synthetic cell membranes. RNA strands, transcribed within GUVs, function as linkers that recruit DNA-conjugated cargo to lipid membranes, enabling programmable spatial organisation. Using this framework, we achieved reversible membrane localisation through toehold-mediated strand displacement and RNase H-mediated degradation. This work establishes a gene expression-driven platform for programmable and dynamic control of membrane-associated components in synthetic cells, providing a foundation for constructing dynamic signalling assemblies and higher-order cellular behaviours. O_FIG O_LINKSMALLFIG WIDTH=191 HEIGHT=200 SRC="FIGDIR/small/738173v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@9d8b5org.highwire.dtl.DTLVardef@726fd1org.highwire.dtl.DTLVardef@10b09bforg.highwire.dtl.DTLVardef@1ad19b5_HPS_FORMAT_FIGEXP M_FIG C_FIG

Scaling neural interfaces to ever-higher channel counts has accelerated rapidly with advances in thin-film fabrication, lithography, and connectorization, enabling passive arrays to reach thousands of channels and chart credible pathways to much larger formats. Integrating active electronics directly at the sensing sites offers a complementary route to higher channel density by reducing the number of interconnects required to access large arrays. Here we introduce a monolithic flexible thin-film integrated circuit platform for active neural sensing, inspired by active-matrix display technology. The system integrates dual-gate amorphous indium gallium zinc oxide transistors on polyimide substrates to implement in-pixel transconductance amplification and row-column time-division multiplexing, improving scability for high-channel-count applications. Co-optimization of device architecture, contact engineering, and a hybrid ceramic-polymer thin-film encapsulation yields stable operation with projected lifetimes exceeding 38 years under accelerated aging. In acute and chronic in vivo rat studies, the platform exhibits negligible thermal burden, robust sensory-evoked recordings, and stable functionality over 30 days despite tissue encapsulation. These results establish display-inspired flexible thin-film electronics as a scalable building block for next-generation neural interfaces.

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.

Solid-state nanopores offer label-free, real-time single-molecule sensing. However, resolving fast biomolecular transport requires high-bandwidth data acquisition while the intrinsic high-frequency noise limits recovery of informative events. Here we present a hardware-software co-designed nanopore sensing platform that combines wafer-scale low-noise device engineering with deep learning-based signal reconstruction. A low-dielectric SU8 coating on silicon nitride nanopores reduces device capacitance to the pF range and suppresses high-frequency noise by up to 5-fold while maintaining facile, controllable and reproducible fabrication. This extends usable acquisition to 40 MHz and enables capture of fast molecular features. Coupled with a reconstruction model trained on synthetic translocation events embedded in experimentally measured noise, the platform recovers transient sublevels while preserving blockage edges and temporal fidelity. Using engineered DNA molecules carrying dumbbell-like barcodes, we resolve nanometer-scale structural spacings on sub-microsecond timescales, and experimentally quantify translocation dynamics within the sub-10 nanometer regime. Dual-channel measurement on a single nanopore device further demonstrates transferability of the platform by showing robust cross-channel signal reconstruction across distinct baseline noise levels. Our approach provides a general route for reliable recovery of fast event features and may enable more information-rich single-molecule sensing across diverse biomolecular targets.

Synthetic biology has advanced microorganisms to be programmed as production hosts, but its application to bacteria that inherently assemble extracellular materials remains limited. Komagataeibacter spp., natively synthesizes cellulose at the bacterial cell surface, creating a material-forming interface that has not been used as a programmable recruitment platform. Here we establish cell-surface display in Komagataeibacter intermedius and show that this interface can recruit defined proteins, making functionalization part of cellulose formation. By engineering LppOmpA, we displayed a fluorescent protein and genetically encoded capture modules (SpyTag and SilkTag) to selectively capture catcher-fused protein cargos onto K. intermedius cell surface. Recruitment of silk-derived structural protein before cellulose production generated silk-associated fibrous structures within the pellicles, with retained cargo signal after washing. The resulting biocomposite showed reorganized fibre-network morphology, increased surface hydrophobicity, mesoscale ordering, and improved wet-state compressive strength. Wild-type cells exposed to same conditions did not reproduce these changes, demonstrating that material properties arise from surface-directed recruitment rather than protein exposure alone. This work demonstrates the material-forming bacterial surface as a programmable engineering interface for organizing extracellular proteins, providing a general strategy for engineering living materials.

Governing thermal transport in engineered materials creates opportunities to redirect and recover the excess heat generated in electronic and energy-conversion devices. Materials that pair low cross-plane thermal conductivity with high in-plane thermal conductivity are particularly valuable because they confine heat and channel it away from sensitive regions, preventing localized device failure. Two-dimensional crystals are efficient building blocks for such anisotropic thermal conductors, but they are brittle, and the polymer composites used to toughen them usually forfeit much of the intrinsic anisotropy: in conventional percolation-based design, filler fraction is the only handle available, and it governs both in-plane and cross-plane conduction. Here we report a composite of Ti3C2Tx (MXene) nanosheets and squid ring teeth (SRT) inspired recombinant tandem-repeat (TR) proteins in which the protein serves as a molecular template and bridge, setting the spacing between nanosheets with angstrom-level precision through the number of tandem-repeat units and independently of the filler fraction. This structural handle provides a second, independent design parameter. At a fixed MXene loading, the number of repeats tunes the cross-plane conductivity (0.30 to 0.93 W/mK) and, with it, the thermal anisotropy ratio over a wide range (from about 70 down to 17), while the in-plane conductivity stays high (16 to 21 W/mK). We rationalize these trends with a Gaussian Network Model (GNM) of the protein embedded in a two-phase layered medium, which reproduces the measured directional conductivities from a single structural parameter and identifies the protein gallery as the cross-plane bottleneck. Extending the model to a mechanically loaded five-period stack, we find that the anisotropy is robust to reversible compression and twist, changing by only a few percent, so the number of tandem repeats, not the applied strain, is the dominant design handle. Because anisotropy is tuned structurally rather than volumetrically, these protein-MXene composites decouple thermal anisotropy from filler content, pointing toward flexible thermal materials that are not bound by the rules of mixture and percolation.