ACS Nano

Self-assembled peptide-based nanostructures have diverse applications in the pharmaceutical and materials fields, but accurately predicting their self-assembly behavior without time-intensive organic synthesis and characterization remains a significant challenge. Here, we assess the effectiveness of AlphaFold3 (AF3), a deep learning model for protein structure prediction, in modeling peptide-based nanostructures and the interactions driving supramolecular self-assembly. We designed amphiphilic peptides composed of alternating hydrophobic residues (valine, leucine, isoleucine, phenylalanine) and hydrophilic residues (glutamic acid), varying both sequence length and residue order. Using AF3s multimer mode, we modeled assemblies with copy numbers ranging from 10 to 1000, generating diverse morphologies such as micelles and nanotubes. We qualitatively analyzed hydrophobic regions, secondary structures, and intermolecular interactions, while also calculating radii of gyration, packing scores, and aspect ratios using PyRosetta. Our results indicate that AF3 predicts morphologies consistent with hydrophobic driving forces and steric constraints. Increased hydrophobicity correlates with smaller radii of gyration, while higher copy numbers correspond to smaller aspect ratios (more compact structures). Longer hydrophobic segments lead to disordered structures, whereas longer hydrophilic segments promote organization. While AF3 captures systemic trends consistent with biophysical principles, comparisons to literature reveal discrepancies driven by charge effects and secondary structure bias, including an overemphasis on helical propensity (e.g., alanine-rich sequences) and sensitivity to terminal charge repulsion. Additionally, since AF3 is predisposed to predict a single assembled entity rather than higher-order assemblies such as multiple micelles or fibers, finding the optimal copy number for the best prediction requires system-specific iteration. These limitations highlight the need for complementary approaches with controlled chemical potential and environmental conditions, though qualitative agreement with experimental trends in morphology and compactness supports AF3s utility for initial structure generation. Our findings highlight AF3s potential as a user-friendly design tool for structure generation in peptide design, aiding the efficient development of functional self-assembled peptide nanomaterials.

While engineered nanomaterials offer unprecedented precision in targeting tumor cells, their efficacy is often limited by rapid clearance from the bloodstream via the mononuclear phagocyte system (MPS). To overcome this limitation, a promising strategy known as MPS-cytoblockade has been developed. This approach involves administering antibodies against host erythrocytes. The resulting saturation of the MPS with erythrocyte clearance creates a critical window, allowing subsequently administered nanoparticles to evade immune surveillance and circulate for a significantly extended period. However, MPS-cytoblockade induces a transient reduction in hematocrit, which can lead to adverse effects. Here, we demonstrate that approaches to restore hematocrit, specifically through the administration of donor erythrocyte suspension or the hormone erythropoietin, effectively prevent this drop while maintaining the efficacy of the MPS-cytoblockade. Notably, these interventions do not compromise the prolonged circulation time of the nanoparticles or alter their biodistribution, preserving high accumulation in tumors. Our findings establish a viable strategy to mitigate a key side effect of MPS-cytoblockade, thereby enhancing its therapeutic potential and safety profile.

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.

Nanopores enable single-molecule analysis by measuring current signals through nanoscale pores in either biological or solid-state membranes. Accurate detection of analyte fingerprints within the pore environment is essential for reading-out the analyte type. We develop a framework for robust and label-free detection of the molecular nanopore events using a graph representation of the measured signals. To this end, we build a graph-based two-stage workflow based on a convolutional and graph neural networks that first perform a fast screening of the nanopore events, followed by a deep validation of these. The learned model can thus efficiently and in an unsupervised manner select possible molecular signatures (the current blockades) in the full signal, denoise, validate, reconstruct these, and predict the morphology of unseen molecular events. We could show that the learned model can efficiently predict the correct event morphology for the same analyte within a 2.4-fold range of transmembrane voltage values not included in the training. The developed graph-based workflow is modular, generalizable, and provided that it is trained on a huge amount of different nanopore experiments has the potential to become a blueprint model for nanopore read-out. Such a read-out model would be able to identify subtle differences in molecules like proteins, as well as their conformational or folding states. The proposed framework is developed using experimental signals from DNA translocation through an aerolysin pore and demonstrates a unified approach linking unsupervised feature learning to raw-signal inference for single-molecule sensing.

Herpes simplex virus 2 (HSV-2) is associated with genital ulcers, neonatal encephalitis, increased risk of HIV infection, and dementia. There is no licensed HSV-2 vaccine. We developed nanoparticles displaying the HSV-2 attachment protein gD and fusion mediation protein complex gH/gL. Immunization of mice and non-human primates elicited high levels of neutralizing antibodies. Vaccination conferred robust protection in mice, preventing disease and nearly eliminating infection and shedding following HSV-2 challenge. While gD induced high neutralizing antibody titers, gH/gL contributed substantially to protection despite lower neutralization titers. Instead, gH/gL immunization generated strong fusion-blocking responses which were an important correlate of protection, showing that standard neutralization assays incompletely capture the importance of fusion-blocking activity. These findings demonstrate that targeting both HSV-2 attachment and fusion elicit complementary mechanisms for protection from infection and that neutralizing antibody alone may be insufficient for protection. Overall, these results present an innovative strategy for an HSV-2 vaccine.

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.

Colorectal cancer (CRC) remains a major cause of cancer death, and advanced disease is still limited by resistance and systemic toxicity. We studied intrinsically active, biomimetic cerium oxide nanoparticles (CeNPs) functionalized with D- or L-cysteine (D-Cys@CeNPs and L-Cys@CeNPs) in three CRC cell lines (COLO-201, DLD-1, and LoVo) and healthy colon fibroblasts (CCD-18Co). We propose these materials act as enantioselective functional keys: cysteine stereochemistry shapes recognition at the nano-bio interface, while productive interactions allow the Ce3-rich surface to drive localized redox exchange. We measured viability, ROS as a downstream phenotypic readout, Annexin V/PI-defined cell fate, and expression of the NF-{kappa}B regulatory genes TNFAIP3 (A20), IKBKG (NEMO), and NFKBIA (I{kappa}B). Across the CRC panel, D-Cys@CeNPs caused earlier and stronger loss of viability, with the clearest effect in COLO-201, and shifted cells toward late apoptosis and necrosis. In contrast, L-Cys@CeNPs produced slower and more heterogeneous fate changes. Gene expression showed enantiomer-dependent differences in NF-{kappa}B feedback, consistent with differential pathway engagement. CCD-18Co fibroblasts were comparatively resistant to both enantiomers. Together, these findings link chiral CeNP surface design to redox-linked pathway regulation and support a materials-based route to selective anticancer activity. INTRODUCTION

Oncogene amplification is a key driver of tumorigenesis and a perpetuator of genomic instability. Oncogene amplification accelerates cancer cell proliferation and evolution, contributing substantially to the enhancement of adaptation mechanisms, such as treatment resistance, which pose a significant therapeutic challenge. However, previous studies have shown oncogene amplification to be a critical vulnerability, rendering cancer cells, but not normal cells, susceptible to targeted, CRISPR-Cas9 nickase - mediated DNA damage and cell death in vitro. Here, we demonstrate the initial framework for the translation of this potential therapeutic approach utilizing Cas9D10A - mRNA and functionalized lipid nanoparticles for the targeted delivery, and suppression of disseminated MYCN-amplified neuroblastoma in vivo.

Cancer immunotherapies show clinical promise but often rely on T-cell priming and are limited by tumor heterogeneity and the immunosuppressive tumor microenvironment (TME). Innate immune activation offers a complementary strategy, with specific aim in natural killer (NK) cell activation for antigen-independent response. Biomimetic nanoparticles combining virus-like morphology with cell membrane (CM) coating offer a strategy to engage this innate immune axis. This study investigates virus-like mesoporous silica nanoparticles (VLPSi) with tunable spikes, surface functionalization, and CM coating as innate immunity modulators. Optimization revealed that longer spikes, amine functionalization, and CM coating synergistically enhance NK cell activation within human PBMCs, as indicated by CD69/CD25 upregulation and IFN-{gamma} secretion. CD14+ monocyte depletion attenuated activation, identifying monocyte-dependent crosstalk as a key mechanism. In purified NK cells, engineered CM-coated VLPSi induced early activation and supported feeder-free expansion. These results define topology, surface chemistry, and CM coating as parameters for innate immune modulation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=69 SRC="FIGDIR/small/720074v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@db5cdorg.highwire.dtl.DTLVardef@1ab41eorg.highwire.dtl.DTLVardef@127428dorg.highwire.dtl.DTLVardef@82609a_HPS_FORMAT_FIGEXP M_FIG C_FIG

Antibody and protein-drug conjugates (XDCs) have emerged as promising cancer therapeutics, yet their clinical utility remains constrained by dose-limiting toxicities and narrow therapeutic windows. These safety challenges stem primarily from two factors: premature payload release during systemic circulation, and poor physicochemical properties inherent to the hydrophobic cytotoxic drugs they carry. Prior strategies attempted to address these limitations by appending water-soluble tags to reduce overall conjugate hydrophobicity, but achieved only modest improvements. As a result, the hydrophobic nature of cytotoxic payloads has remained a persistent obstacle in XDC development. Here, we report a fundamentally different chemical strategy that reframes this liability as a design opportunity. Rather than masking drug hydrophobicity, we exploit it as the driving force for self-assembly of facially amphiphilic protein-drug conjugates with programmable drug moieties (PDCs). In this architecture, the hydrophobic cytotoxic drug and the hydrophilic protein serve as the core and shell, respectively, spontaneously assembling into monodisperse, well-defined spherical protein nanotherapeutics of controlled size. This design principle transforms a longstanding physicochemical challenge into a functional engineering tool, enabling precise nanostructure formation without sacrificing potency. In vitro studies confirm that the resulting nanotherapeutics effectively kill cancer cells, establishing a strong foundation for further therapeutic development.

Ionizable lipid nanoparticles (iLNPs) are powerful platforms for mRNA-based vaccines and immunotherapies; however, their intrinsic liver tropism compromises both safety and efficacy. Off-target hepatic protein expression from delivered mRNA raises safety concerns, and hepatic clearance limits efficient iLNP delivery to target organs. In this study, we address these challenges in mouse models by stealth-coating the liver sinusoidal endothelial (LSE) wall, the primary gateway for nanoparticle entry into the liver. Specifically, oligocations conjugated with two-armed PEG (2-arm-PEG-oligocations), a clinically relevant material used in oligonucleotide delivery trials, were employed to transiently anchor PEG to the LSE wall with balanced affinity, ensuring robust coating followed by gradual biliary clearance. This approach reduced hepatic protein expression from iLNPs, subsequently administered either systemically or locally, by more than tenfold. Importantly, the strategy preserved iLNP accumulation in the spleen, a key target organ for vaccines, effectively redirecting iLNPs from the liver to the spleen. Consequently, in vaccine applications, pre-injection of the 2-arm-PEG-oligocation preserved or even enhanced vaccination efficacy while minimizing concerns associated with antigen expression in the liver. In applications involving cytokine mRNA therapy, specifically intratumoral interleukin-12 (IL-12) mRNA administration, systemic pre-injection of the 2-arm-PEG-oligocation successfully reduced off-target hepatic IL-12 expression and subsequent systemic IL-12 exposure, while maintaining antitumor efficacy. Collectively, these results demonstrate that LSE-wall stealth coating is a generalizable strategy to improve both the safety and efficacy of iLNP-based mRNA vaccines and immunotherapies.

Upon near-infrared (NIR) irradiation, combined treatment comprising of photothermal therapy (PTT) and chemotherapy (CHT) offers synergistic effects by inducing localized heat to intended tumor sites and simultaneously allowed delivering drugs thus to minimize undesired side-effects but enhance cytotoxic therapies. In this study we developed a novel platform that enables simultaneously to respond light stimuli with localized heat and released drugs using drug contained gold nanorods (GNRs). Methotrexate (MTX), a model anticancer drug is attached through hydrolytic ester bonding to targeting molecular hyaluronic acid (HA) that is coated onto GNRs. Based on the rationale, HA provides a good scaffold for high biocompatibility to shield risky GNRs, targeting for a CD44 receptor, and easy chemical binding of drugs. Upon a single light irradiation, MTX-HA functionalized GNRs (MTX-HA @GNRs) provide localized heat to cancer areas for PTT and the elevated temperature accelerates hydrolytic cleavage of the ester bond onto GNRs in physiological condition for CHT, ultimately releasing MTX to cells. In contrast to previous combination therapies that do not concurrently offer heat and drugs upon light stimuli, our NIR triggered CHT with PTT provides clinically effective options with combinatorial treatment that possesses high efficacy resulted in in vitro tests. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=159 SRC="FIGDIR/small/719030v1_figsh1.gif" ALT="Figure 1"> View larger version (84K): org.highwire.dtl.DTLVardef@759596org.highwire.dtl.DTLVardef@1afcdf7org.highwire.dtl.DTLVardef@fb1505org.highwire.dtl.DTLVardef@2100e4_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOScheme 1.C_FLOATNO Schematic illustration of our nanoplatform a) The light responsive combinational therapy using GNRs scaffold for photo thermal therapy and chemotherapy b) The formation of TGNRs@RHO.B-HA and their light responsive mechanism with active CD44 receptor binding affinity c) light triggered hydrolytic release of model drug Rhodamine.B from TGNRs@RHO.B-HA. C_FIG

Virus-like particles represent an emerging and promising vaccine platform. However, these particles are inherently mechanically soft and have limited control over particle surface architecture, thereby constraining their immunological control. Herein, we report the rational design of bioinspired virus-like porous silica (VLPSi) nanoparticles (NPs) with tunable and mechanically rigid spike architectures that function dually as antigen delivery carriers and immune adjuvants. Using ovalbumin (OVA) as a model antigen, we systematically elucidate the spiky structure-function relationship in antigen delivery and immune response. VLPSi NPs exhibit good biocompatibility, sustained antigen release, and markedly enhanced cellular uptake and endosomal escape compared with soft spike and spherical counterparts. Mechanistic investigations combining molecular dynamics simulations and proteomic analyses reveal that rigid spike architectures reduce the energetic barrier for cellular internalization and concurrently activate dual pathways involving endosomal Toll like receptors and calcium signaling. Consequently, VLPSi with long spikes elicit significantly enhanced humoral and cellular immune responses, outperforming the particles with shorter spikes, spherical shape as well as clinically used alum adjuvant. To demonstrate translational potential, bioinspired antibacterial vaccines were produced by loading Staphylococcus aureus surface protein rEsxB. The VLPSi-based vaccine elicited robust protective immunity to achieve complete (100%) survival following lethal challenge without detectable adverse effects, whereas traditional Alum-adjuvanted formulation conferred only minimal protection, with a survival rate of 10%. Collectively, this work establishes VLPSi with tunable spikes as a mechanistically controlled platform for next generation vaccines. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/720861v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@1f6c13eorg.highwire.dtl.DTLVardef@1090d07org.highwire.dtl.DTLVardef@1364926org.highwire.dtl.DTLVardef@fc68ab_HPS_FORMAT_FIGEXP M_FIG C_FIG

Extracellular vesicles are increasingly recognized as important carriers of disease-associated molecular information, yet robust methods for their isolation and molecular characterization from limited clinical samples remain challenging. Here, we present an integrated approach combining standardized EV isolation, label-free Surface-Enhanced Raman Spectroscopy (SERS), and artificial intelligence (AI) for comprehensive molecular profiling of small extracellular vesicles (sEVs) from human plasma. Here, we show systematically isolated and characterized plasma sEVs using ExoTIC in accordance with MISEV2023 guidelines, with SERS analysis revealing quantifiable spectral differences across samples from patients with glioblastoma (n=20) and meningioma (n=23) compared to healthy controls (n=30). Among the evaluated AI models, the convolutional neural network most effectively captured group-level spectral differences in sEVs, achieving accuracies up to 88% in this pilot cohort. Further, an EGFR-based spectral regression model was explored to examine molecular variability across sEV samples. Parallel proteomic analysis presented statistically significant differences in several proteins elevated in glioblastoma or meningioma. This label-free, rapid approach provides a proof-of-concept framework for sEV molecular profiling establishing the basis for broad validation studies across diverse diseases.

Fluorescent nanodiamonds (FNDs) containing nitrogen-vacancy (NV) centers are promising quantum sensors for intracellular measurements, yet nuclear applications remained out of reach because optically detected magnetic resonance (ODMR) signals are weak and capillary delivery is inefficient. This study addresses both constraints by optimizing the electron irradiation dose to balance NV creation and charge-state stability, and by grafting hyperbranched polyglycerol with terminal carboxyl groups (HPGCOOH) to suppress aggregation and prevent needle clogging. The optimized dose yields strong ODMR contrast while preserving fluorescence suitable for microscopy. HPGCOOH surfaces enable smooth and reproducible microinjection through fine capillaries. Using this strategy, the microinjection of ODMR-active FNDs into the nuclei of living COS7 cells is achieved, and clear intranuclear spectra comparable to cytoplasmic readouts are obtained. Furthermore, field-of-view temperature sensing across multiple cell nuclei is demonstrated, enabling quantitative and spatially resolved thermal mapping within the genomic environment. This methodology provides a practical route to nuclear quantum sensing and opens opportunities for nanoscale physicochemical measurements within the genomic environment.

Stimulus-responsive nanomedicines promise spatiotemporally controlled therapy, yet most systems rely on passive delivery and lack precise, externally programmable activation while maintaining clinical compatibility. Here we engineer sub-200 nm, perfluorocarbon (PFC)-core nanodroplets (NDs) that integrate efficient core drug loading, physiological stability, and acoustically programmable activation within a single nanoscale agent. These NDs are fabricated using microfluidic nanoassembly to achieve controlled size and composition, and are designed to encapsulate fluorinated payloads directly within the liquid core. Upon exposure to a sequential dual-frequency ultrasound (US) paradigm, the NDs undergo acoustic droplet vaporization followed by low-frequency cavitation, enabling spatially confined mechanical disruption and on-demand payload release within clinically relevant acoustic limits. These properties are engineered to overcome physicochemical barriers in solid tumors, including dense extracellular matrix and restricted drug penetration. This approach achieves enhanced payload release and induces potent mechanochemical cytotoxicity in vitro. In vivo, NDs exhibit prolonged circulation and tumor accumulation, while US activation drives substantial tissue fractionation, control drug release, and increases subsequent nanoparticle uptake. When applied to a solid tumor model, this combined mechanochemical strategy improves tumor control and significantly extends survival compared to either modality alone. These acoustically activatable NDs provide a versatile system for stimulus-responsive, site-targeted drug delivery and mechanical tumor disruption, with strong potential for clinical translation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/719550v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@9c07f8org.highwire.dtl.DTLVardef@1cf355aorg.highwire.dtl.DTLVardef@b7afd1org.highwire.dtl.DTLVardef@177fa1a_HPS_FORMAT_FIGEXP M_FIG C_FIG

The commercial maturation of microfluidics remains bottlenecked by empirical prototyping and an absence of predictive digital design capabilities. Because optimizing advanced technologies such as passive particle separation fundamentally hinges on the precise coupling of fluid dynamics and particle mechanics, conventional two-dimensional or decoupled fluid simulations inherently fail to capture authentic multiscale behaviors. To bridge this gap, we establish a high-fidelity three-dimensional fluid-structure interaction framework combining a high-order Arbitrary Lagrangian-Eulerian mapping-based finite element method with a localized hierarchical dynamic mesh strategy. Engineered to accurately resolve complex multiscale hydrodynamics, this architecture utilizes deterministic lateral displacement structures as a stringent test case. Validated against experimental data for rigid microspheres and tumor cells, the framework predicts transport trajectories and critical separation diameters with sub-micron precision. Crucially, the simulation explicitly resolves the M-shaped spatial fluctuation of local size thresholds alongside the dynamic vertical migration of particles. Unveiling these hidden physical mechanisms provides a deterministic explanation for highly debated phenomena such as mixed-mode transport. By enabling the rigorous in silico evaluation of complex non-periodic architectures, this framework serves as a powerful instrument for predictive structural optimization. Such capabilities establish the essential infrastructure for microfluidic digital design, accelerating the transition from empirical trial-and-error to precision simulation-driven engineering.

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.

TRPA1 is a polymodal ion channel receptor known for its role in nociception. TRPA1 can be activated by local mechanical perturbations in the surrounding plasma membrane (PM) by molecules that insert in the lipid bilayer. Here, we tested whether TRPA1 function can be modulated by lipid nanoparticles (LNPs) while interacting with the target cell plasma membrane. We found that LNP induce irregular Ca2+ transients in heterologous and native TRPA1-expressing cells, which may reflect stochastic LNP-PM interactions. By using different cell types and applying selective and non-selective TRPA1 inhibitors, we revealed that the cytosolic [Ca2+] is elevated transients arise as a result through multiple mechanisms: TRPA1-dependent Ca2+ influx, TRPA1-independent Ca2+ influx, and Ca2+ mobilization from the endoplasmic reticulum. Our results describe a novel, non-canonical TRPA1 activation mechanism by LNPs, that may be relevant in the context of the development of cancer and nasal vaccines.

Engineered living materials (ELMs) harness the adaptive and self-replicating capabilities of biological systems to create functional materials for sensing, catalysis, and biomineralization. While most ELM strategies rely on static microbial assemblies, the role of bacterial motility in structuring living materials remains unexplored. Here, for the first time, we demonstrate how swarming motility in Escherichia coli MG1655 can be induced to guide spatio-temporally organized calcium phosphate mineralization. The mineralized calcium phosphate is characterized by scanning electron microscopy and elemental analysis. By systematically varying phosphate sources and their concentrations in calcium-rich media, we observe the emergence of regularly spaced concentric mineralized patterns. The previously undocumented observation of the concentric patterns was rationalized through a continuum model that captures the spatiotemporal coupling between swarm expansion and mineral deposition. The model shows that this coupling can generate recurrent front arrest and restart, leading to concentric ring formation. Finally, we show that altering the phosphate species results in distinct mineral morphologies. Together, this work establishes a novel framework for integrating bacterial swarming with biomineralization, enabling dynamic and programmable pattern formation in ELMs.