Biology subjects

Nguyen, K.

Publications and source records attributed to Nguyen, K..

At least 19 recordsLinked to original sources

bioRxiv2026

Biosynthetic additive manufacturing through mycelium-bacteria consortia

Lignocellulosic biomass is the most abundant renewable raw material on Earth, yet its structural and carbon-storage potential remains unrealized: microbial decomposition returns stored carbon to the atmosphere before it can be harnessed as a durable material. Distinct microbial processes, such as biosynthesis and biomineralization, offer a natural counterpoint, converting organic carbon into mechanically robust, persistent materials such as polymers and minerals. Here, we establish a biosynthetic additive manufacturing strategy through mycelium-bacteria consortia, by coupling fungal self-assembly with bacterial biomineralization inside fabricated three-dimensional scaffolds derived from lignocellulosic biomass. Trametes versicolor forms a continuous living mycelial network that serves as both a structural template and a transport pathway, guiding the spatial colonization of Sporosarcina pasteurii and enabling volumetric calcium carbonate deposition throughout the scaffold interior, overcoming the surface-limited mineralization of conventional microbial systems. Integration with helicoidal Bouligand architectures translates microscale mineral reinforcement into macroscale performance, increasing compressive Young's modulus by 7-14-fold and ultimate strength by 5-fold relative to unmineralized conventional mycelium-based living composites. The living mycelial network also enables autonomous self-healing and modular self-assembly through hyphal bridging without external adhesives or energy input. This work establishes a scalable route for converting and upcycling transient biomass carbon into durable living structural materials for sustainable construction.

bioengineering↗

bioRxiv2026

Supervised 3D Virtual Fluorescence and Pseudo-H&E Staining of Fresh Bulk Tissues via Multimodal qOBM and Fluorescence Microscopy

We introduce a multimodal microscope that combines quantitative oblique back-illumination microscopy (qOBM) with wide-field epi-fluorescence deconvolution microscopy to acquire intrinsically co-registered phase and fluorescence volumes of fresh, bulk tissue. Using paired qOBM phase and DAPI fluorescence images of fresh ex vivo mouse brain tissue, we train a supervised conditional generative adversarial network (cGAN) to predict DAPI-like nuclear contrast from the structural information encoded in the phase images. Results not only demonstrate high-fidelity image translation but also show improved imaging depth and more homogeneous staining. Additionally, we combine the qOBM phase contrast with captured or virtual fluorescence nuclear images to produce volumetric pseudo-H&E representations of fresh tissue, enabling a supervised approach for achieving robust virtual histological staining. This work paves the way for virtual fluorescence imaging of many more structural targets and supervised virtual histological staining of thick, unaltered, bulk tissues ex vivo and potentially in vivo. Such capabilities could have significant implications for biological research as well as for point-of-care, intraoperative, and other clinical applications.

bioengineering↗

bioRxiv2026

Moving object generates topographic responses in the majority of entorhinal neurons

Vision is crucial in generating a complex array of responses in rodents during spatial exploration and in humans during memory tasks. These tasks involve other variables too, e.g. multisensory cues in rodents and complex memories in humans. Further, there are major differences between the medial and lateral entorhinal cortical (MEC and LEC) functional cell types. To understand the contribution of purely visual information to entorhinal responses, we presented a simple, moving vertical bar of light to head-fixed mice, without any task or reward. Surprisingly, 66% (2391/3601) of the MEC broad spiking neurons were significantly modulated by the bar position on the screen. Visual tuning in MEC had a pronounced dorsoventral topography --the tuning strength dropped from 79% in the dorsal most quartile to 40% in the ventral most quartile. Unlike major differences in spatial and other codes between MEC and LEC during free foraging experiments, LEC cells showed very similar visual tuning (392/606, 65%), including the dorso-ventral gradient in LEC5. Additionally, the majority of putative interneurons, from MEC as well as LEC, showed similar, widespread visual tuning, unlike spatial tasks. Neurons also encoded the object motion direction (naso-temporal vs. temporo-nasal visual motion) with changes in mean rate, tuning strength and/or tuning location. Such directional nature of visual tuning indicates significant history-dependence or sequence encoding. Consistently, replacing the continuous motion by randomly flashing bar of light abolished bar-tuning in two-thirds of continuous bar-tuned cells and substantially altered tuning in the rest. These results reveal the contribution of purely visual inputs in generating anatomically organized responses in the majority of entorhinal neurons. The prevalence and similarity of visual tuning across all layers of MEC as well as LEC exceeds that of other known functional cell types (like grid cells in MEC or egocentric object tuning/time-cells in LEC) during spatial navigation tasks and could be foundational in understanding entorhinal complexity.

neuroscience↗

bioRxiv2026

Computational design of a versatile, zero-radius proximity labeling enzyme

The ability to map protein interactomes and organelle proteomes is foundational for achieving a molecular understanding of living cells. Proximity labeling (PL) provides a powerful strategy for this, but existing enzymes and photocatalysts are limited by their spatial resolution, reliance on biotin, and/or in vivo compatibility. Here we report FlexID, an engineered promiscuous ligase that catalyzes the rapid attachment of diverse small-molecule probes to proximal endogenous proteins. Critically, FlexID operates through a zero-radius, direct-contact mechanism, offering superior spatial precision compared to existing PL tools. We engineered FlexID by combining the strengths of sequence- and structure-trained computational models to enhance its catalytic activity and structural stability. Biophysical analysis revealed that specific conformational changes in FlexID improve its ability to recognize diverse target proteins while simultaneously preventing the premature release of the reactive intermediate. We demonstrate FlexID's versatility through in vivo proximity labeling, comprehensive organelle proteome mapping, and a high-throughput, fluorescence-based screen for molecular glues. Our work shows that computational methods can be harnessed to create mechanistically distinct PL enzymes and establishes FlexID as a flexible, high-resolution tool for mapping protein interactions and proteomes in living cells.

bioengineering↗

bioRxiv2026

Selective Packaging of Rotavirus Double-Layered Particles into Host Microvesicles

Rotavirus is a non-enveloped RNA virus traditionally thought to exit host cells through lytic or conventional vesicular pathways, but recent evidence shows that it also exploits host microvesicles for non-lytic transmission. To characterize this transmission pathway, we combined high-resolution microscopy (TEM, confocal microscopy, immunogold labeling) with biochemical and infectivity assays. Our work revealed that rotavirus infection robustly increased microvesicle production, and individual vesicles frequently contained multiple viral particles. Quantitative analysis revealed striking differential partitioning of particle types. Mature triple-layered particles predominated within infected cells, whereas extracellular microvesicles were strongly enriched for immature double-layered particles. Although free double-layered particles lack the outer capsid required for classical receptor-mediated entry, microvesicle-associated particles initiated productive infections, whereas disruption of the vesicular membrane abolished infectivity. These findings suggest an evolutionarily advantageous dual transmission strategy. By using host-derived membranes to transmit otherwise non-infectious intermediates, rotavirus can bypass outer-capsid-dependent entry, potentially reducing the energetic cost of producing fully mature infectious particles while enabling collective transmission. Maintaining a free-virus pathway may nevertheless be important because transmission by individual mature virions imposes population bottlenecks that limit the propagation of defective or cheating genomes and preserve high-fitness genotypes. Thus, partitioning viral progeny between vesicle-associated double-layered particles and free triple-layered particles may balance the immediate benefits of collective spread with long-term genetic quality control. Whether double-layered particle enrichment arises from active sorting or spatial coupling between viral assembly and microvesicle biogenesis remains unresolved.

microbiology↗

bioRxiv2026

Selective collateralization of transcriptomically distinct neurons organizes visual-stream output from the primary visual cortex

Parallel visual streams segregate information into pathways specialized for distinct computations, but how this segregation is achieved by anatomical segregation of primary visual cortex output remains unclear. This problem is complicated because individual neurons frequently send broadcasting projections to multiple cortical areas, and the target choice depends on both topographical location and molecular identity. Here we developed axonal BARseq2 to jointly map gene expression and high-resolution axonal projections from 1,448 neurons spanning the mouse primary visual cortex (VISp). Axonal BARseq2 recapitulated projection patterns observed by bulk tracing and single-neuron reconstruction, and recovered transcriptomic identities consistent with reference snRNA-seq datasets. Retinotopy strongly predicted projections to individual cortical targets, particularly for areas proximal to VISp, but explained little of which areas are frequently co-innervated. Instead, co-innervation patterns defined three preferential output pathways that largely corresponded to the ventral stream and two subdivisions of the dorsal stream. These pathways were associated with fine-grained transcriptional identities of L4/5 intra-telencephalic neurons, which were further validated with an external MERFISH dataset. Thus, VISp output is organized by two distinct rules: retinotopy constrains where neurons project, whereas cell-type-associated collateralization constrains which targets are co-innervated. This selective broadcasting, in which single neurons reach many higher visual areas in cell-type-specific combinations, could provide an anatomical substrate for visual-stream segregation at the level of VISp output in mice.

neuroscience↗

bioRxiv2026

A generalized resource-allocation growth law reveals mechanisms of differential responses to intermittent androgen deprivation therapy in prostate cancer

Resource-limited growth frameworks often developed independently. Here, we derived a growth law by assuming a cell balancing internal competing resource demands and generalizing the growth signal through a shape parameter h, the trade-off exponent. In Liebig's single-limiting-resource regime, it recovers Droop's cell quota at h=1 and approaches Prater's growth efficiency as h grows large. h determines how sharply growth declines when allocation departs from optimal, thereby shaping populations evolution. Cyclic environmental stress tests such growth laws. Hence, we built a model from this growth law and applied it to prostate cancer growth in patients undergoing cyclic intermittent androgen deprivation therapy. We showed the model recapitulated longitudinal prostate specific antigen (PSA) and serum androgen measurements from 71 prostate cancer patients using a nonlinear mixed-effects framework (pooled and median individual R^2 {approx} 0.9 for PSA and {approx} 0.8 for serum androgen). h is well-constrained by the data and separates treatment outcomes (success vs. failure, p = 0.003). The results predict that failing cases have cancer that can adapt to a wide range of growth conditions with minimal cost. A simplified model recapitulated PSA dynamics from 32 prostate cancer patients on cyclic adaptive therapy (R^2 {approx} 0.8). Estimates of h for castration resistant cancer in adaptive cohort were similar to failure cases in the intermittent cohort. We found no statistical differences in estimated parameters between the adaptive vs. standard of care arms, suggesting that adaptive schedule may drive the differential outcome. The results support this growth law, providing a foundation for resource-limited growth across biological systems.

ecology↗

bioRxiv2026

TNFR2 Agonism as a Sex-Specific Therapy for Novel Osteoarthritis-Induced Cardiac Dysfunction

Osteoarthritis (OA), a degenerative joint disease, is associated with increased systemic inflammation, chronic pain, and cardiovascular dysfunction. Epidemiological evidence establishes that OA increases the risk of cardiovascular disease (CVD) threefold, yet the causal role of OAs contributions remains underexamined. We assessed cardiac function longitudinally following destabilization of the medial meniscus (DMM) surgery to induce osteoarthritis in mice. DMM-mice exhibited significant, sexually dimorphic alterations in echocardiographic parameters. Female DMM mice developed impaired relaxation with altered E/A ratios, increased E/e ratios, and prolonged intraventricular relaxation time with no change in ejection fraction, while male DMM mice showed progressive systolic dysfunction with decreasing ejection fraction, increased E/e ratio, and prolonged intraventricular contraction time. Transcriptomic profiles and biochemical analyses demonstrated divergent cellular responses involving fibrosis and oxidative stress in female mice, whereas autophagic and apoptotic responses were observed in male mice. Using a tumor necrosis factor 2 (TNFR2) agonist shown to reduce systemic inflammation, we investigated its potential therapeutic role in the context of OA-induced cardiovascular dysfunction. TNFR2 agonism proved to be effective both prophylactically and therapeutically for female diastolic dysfunction. While prophylactic and therapeutic administration delayed male systolic dysfunction, the efficacy declined over time. Our findings demonstrate evidence of a novel sexually dimorphic model of OA-induced CVD that recapitulates the sexually dimorphic pattern of patient phenotypes and a promising new therapeutic approach to CVD. Translational RelevanceOsteoarthritis patients have higher, often unrecognized, cardiovascular risk, yet preclinical models linking joint disease to cardiac dysfunction remain unexplored. Using a murine preclinical model of OA reveals the key findings. First, OA alone drives sex-specific cardiac phenotypes - females develop diastolic dysfunction, whereas males develop progressive systolic impairment. Second, selective TNFR2 agonism prevents and reverses OA-induced diastolic dysfunction in female mice and delays systolic decline in males. These findings suggest sex-dependent cardiac monitoring in OA patients and indicate that TNFR2-targeted therapy will likely be a sex-informed intervention to provide cardioprotective benefit. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/736778v3_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@819a80org.highwire.dtl.DTLVardef@c6646eorg.highwire.dtl.DTLVardef@eb86aborg.highwire.dtl.DTLVardef@d68292_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2026

Graph neural network modeling of receptor interaction kinetics from single-molecule imaging data

Single-molecule (SM) imaging (SMI)-based approaches have the powerful ability to capture receptor interactions - necessary for cell signaling - in their native live-cell environment. Yet, due to substoichiometric labeling, SMI generally provides only partial information on these interactions. We developed Deep-FISIK, which utilizes graph neural networks and multi-head attention for message-passing, to predict from SMI data the kinetics of homotypic interactions of the full receptor system. The input to Deep-FISIK are the SM detections in SMI experiments, without the need for explicit tracking. Thus, Deep-FISIK is compatible with labeling a higher fraction of receptors in the SMI experiments, increasing the prediction accuracy of the interaction kinetics parameters. Deep-FISIKs performance is robust in the presence of a variety of deviations from the training data, indicating Deep-FISIKs applicability to many receptor systems and SMI experiments.

biophysics↗

bioRxiv2026

Looking beyond stereotyped neuron structures reveals links between beading and morphological rearrangements in aging phenotypes.

1Understanding how neuronal morphology changes during aging and acute stress is essential for elucidating mechanisms of neurodegeneration. The highly branched PVD neuron of Caenorhabditis elegans provides a powerful model for studying dendritic remodeling and degeneration-associated phenotypes such as dendritic beading. However, the complexity of this arbor presents substantial challenges for automated segmentation and quantitative analysis. In this study, we adapted a convolutional neural network (CNN)-guided region growing framework for automated dendrite tracing, coupled with two topology-based algorithms for categorizing dendritic segments by branching degree. The segmentation algorithm achieved high accuracy relative to manual tracing, with a median Dice coefficient of 0.82, while reducing analysis time by approximately tenfold. Automated dendrite categorization demonstrated strong agreement with manual annotations across branching orders, though position-based mapping performance declined with age due to progressive morphological distortion. Leveraging this platform, we investigated mechanistic differences in dendritic beading patterns observed during aging and cold shock. Consistent with prior work, aging was associated with decreased inter-bead spacing, whereas cold shock produced increased bead dispersion with stress severity. Structural analysis revealed that these trends were not driven by dendritic pruning or reduced arbor complexity. Instead, while a traditional anatomically unflexible paradigm falsely implicated lower-degree dendrites as highly vulnerable, our branching-informed framework revealed that age-dependent beading is fundamentally dictated by a segments history of successive branching events. Conversely, acute cold shock triggered systemic beading that expanded across all dendritic orders in a severity-dependent manner. Together, these findings demonstrate that chronic aging and acute stress engage distinct degenerative pathways (compartment-specific lineage vulnerability versus global architectural collapse) rather than gross morphological loss, as well as highlighting the need for paradigms that enable reliable analysis of changing morphologies.

bioinformatics↗

bioRxiv2026

Metformin Redirects Autophagy from Bulk Turnover to Mitochondrial Clearance

Metformin is the most widely prescribed antidiabetic drug and an active candidate for repurposing in oncology. How it engages autophagy - a pathway central to both its metabolic and its anti-tumor effects - has remained unresolved, with reports of induction, suppression, and no effect. Here we show that metformin reroutes rather than induces or inhibits autophagy in human cancer cells: at therapeutic concentrations, it suppresses bulk cytosolic turnover by selectively blocking WIPI2-mediated phagophore tethering, while the ULK1 initiation complex relocates toward mitochondria and engages selective mitochondrial clearance. We trace this redirection to mitochondrial complex I inhibition, registered as a shift in the NAD+/NADH ratio before any change in the adenylate pool, and to a non-canonical reprogramming of the ULK1 complex that operates independently of mTORC1 and of the proposed PEN2-lysosomal route. AMPK is engaged in a subunit-specific manner that restrains ATG13 at initiation and enables WIPI2 displacement at maturation. The ULK1 complex is therefore the node at which metformin sets autophagic substrate selection, with direct implications for combination therapy in diabetes and cancer.

cell biology↗

bioRxiv2026

iSsus3744: A Genome-Scale Model-Guided Strategy for Rational Media Design for Cultivated Pork

Cultivated meat production is currently limited by high production costs and an incomplete understanding of cellular metabolism in agriculturally relevant species. Genome-scale metabolic models (GEMs) have successfully guided media optimization in biopharmaceutical systems but have not been widely applied to cultivated meat. In this study, we present iSsus3744, the first genome-scale metabolic reconstruction for Sus scrofa and demonstrate its application for rational media design in cultivated pork production. iSsus3744 was reconstructed using HumanGEM and Recon3D as template models and further constrained using experimentally determined biomass composition and uptake and excretion fluxes from a Duroc porcine muscle satellite cell line. The final model comprised 3,744 genes, 8,854 metabolites, and 12,248 reactions distributed across eight cellular compartments. Flux balance analysis (FBA) and flux variability analysis (FVA) were used to identify amino acids limiting cellular growth and predict media supplementation strategies. Experimental validation demonstrated that model-guided amino acid supplementation significantly improved proliferation. Supplementation with phenylalanine reduced doubling time from 31.9 hours to 17.2 hours, representing a 46% reduction, while lysine, methionine, tyrosine, leucine, and valine also improved growth performance. These results demonstrate the potential of genome-scale metabolic modeling as a powerful platform for rational media optimization in cultivated meat systems. iSsus3744 provides a foundational resource for future integration of omics, transcriptional regulation, and isotope-assisted metabolic flux analysis to further accelerate serum-free media development and cultivated meat bioprocess optimization.

systems biology↗

bioRxiv2026

A molecular grammar for environmental sensitivity in intrinsically disordered protein regions

Cells must continuously sense and respond to changes in their physicochemical environment, yet the molecular mechanisms underlying this process remain incompletely understood. Intrinsically disordered protein regions (IDRs) constitute a substantial fraction of the eukaryotic proteome and participate in nearly every major cellular process. IDRs exist as dynamic conformational ensembles whose properties are strongly influenced by both amino acid sequence and the physicochemical environment. Although this intrinsic sensitivity has suggested that IDRs may contribute to environmental sensing of the cellular environment, the sequence-encoded principles that enable such sensing remain poorly understood. Here we identify a molecular grammar that captures key sequence features underlying variation in environmental ensemble sensitivity across diverse IDRs. Using 188 IDRs derived from organisms across all kingdoms of life, we systematically quantify changes in ensemble properties in response to hyperosmotic stress in living cells. We show that ensemble sensitivity is significantly associated with specific sequence features and predicted ensemble dimensions, with homogeneous patterning of oppositely charged residues emerging as a strong predictor of high sensitivity in charged IDRs. This sequence organization is necessary for high sensitivity in naturally-occurring IDRs and sufficient to confer high responsiveness in de novo designed low-complexity sequences. We further demonstrate that the presence of additional structured domains within IDR-containing proteins can substantially modulate ensemble sensitivity relative to isolated IDRs, revealing an additional layer of modulation at the multi-domain protein level. Applying the molecular grammar to the with-no-lysine (WNK) kinase crowding-sensing system, we find that regions within the disordered C-terminal domain - the domain necessary for crowding-induced phase separation and cell volume recovery - are predicted as hypersensitive, a property that is conserved across distant WNK homologues despite sequence divergence, and that is shared by heterologous IDRs capable of functionally replacing it. Together, our results establish environmental ensemble sensitivity as a sequence-encoded, context-dependent, and quantitatively tunable property of IDRs, provide a framework for understanding how physicochemical changes can be transduced in cells without dedicated receptor architectures as exemplified by the WNK crowding-sensing system, and offer design principles for engineering synthetic protein-based environmental sensors.

biophysics↗

bioRxiv2026

Muscle Diffraction at the Life Science X-ray Scattering Beamline

We report on recent methodological advances at the Life Science X-ray Scattering (LiX) beamline of the National Synchrotron Light Source II (NSLS-II) to support small-angle X-ray scattering experiments on skeletal and cardiac muscle tissues. These experiments have been routinely performed at the BioCAT beamline of the Advanced Photon Source (APS) over the past two decades to measure sarcomeric protein organization within healthy and diseased muscle tissues and provide direct molecular evidence for their functional roles and dynamics. Many recent advances in our understanding of sarcomeric proteins relied on diffraction data and include, as examples, MyBP-C, crossbridge SRX/DRX states, and titin. With LiX now available for muscle experimentation, more muscle users can be supported which will speed up research of sarcomeric proteins, muscle biomechanics, and skeletal and cardiac myopathies. LiX explicitly focuses on high-throughput muscle diffraction with rapid sample turnover and semi-automated data processing. These operations have been tested and validated on skeletal and cardiac tissues sourced from both humans and multiple animal models including pig, rat, mouse, and zebrafish.

biophysics↗

bioRxiv2026

Identification of novel inhibitors of Mycobacterium smegmatis growth through genome-wide overexpression of Cluster P3 mycobacteriophage Xavia genes

We examined whether genes encoded by the mycobacteriophage Xavia disrupt growth of Mycobacterium smegmatis, a widely used mycobacterial model. Seventy-one Xavia genes were individually expressed using an inducible plasmid system and assessed for effects on colony formation. Two genes were lethal even without induction, indicating toxicity under basal expression. Induction of sixteen additional genes reduced bacterial growth, spanning structural proteins, lysogeny regulators, DNA-associated enzymes, a lysis protein, and several genes with no known function. These findings expand functional insights into mycobacteriophage gene repertoires and identify candidates for future mechanistic studies. AbstractBacteriophage genomes encode large numbers of genes with no known function, and many of these genes affect essential host processes when expressed in a heterologous system. For mycobacteriophages, genome-wide overexpression in Mycobacterium smegmatis provides a direct way to identify proteins that impair growth and to determine which mycobacterial pathways are sensitive to phage gene products. To evaluate the cytotoxic potential of the Cluster P3 phage Xavia, a lineage that has not undergone functional screening, we constructed an arrayed pExTra library containing 71 predicted Xavia genes under control of the anhydrotetracycline inducible promoter pTet. All constructs were sequence-verified and transformed into M. smegmatis, and induction allowed measurement of gene-specific effects on growth. Two genes prevented recovery of transformants, suggesting toxicity under basal promoter leakiness. Inducible expression of 16 additional genes impaired growth, and these inhibitory proteins include structural components, regulators of lysogeny, enzymes of DNA metabolism, a lysis factor, and several proteins with no known function. Four of the strongest inhibitors were genes with no known function. These results extend functional screening into the previously untested P3 branch of Actinobacteriophages and identify new proteins that require mechanistic analysis.

microbiology↗

bioRxiv2025

UV induces common cutaneous amyloid-like melanosomal protein aggregates

Misfolding of aggregation-prone proteins underpins diseases known as proteinopathies. One of these proteins, alpha-synuclein, is a component of aggregates in neurodegenerative conditions such as Parkinsons disease. The melanosomal protein PMEL, which forms physiologic amyloid scaffold structures on which melanin is organized in melanosomes, similarly ectopically accumulates in the dermis in many forms of cutaneous hyperpigmentation. Here, we demonstrate in a wide range of common clinical pigmentary disorders, as well as in primary melanocyte and mouse models examined by molecular, proteomic, and electron microscopic tools, that melanocytic alpha-synuclein is a prominent component of intracellular protein aggregates bound to similar proteins as in Parkinsons disease, as well as melanized extracellular protein deposits. Using the Real Time Quaking-Induced Conversion Assay (RT-QuIC), we demonstrate that UV induces misfolded melanosomal proteins to self-propagate, augmenting this pathology in prion-like fashion. CUT&RUN chromatin profiling and single-cell RNA-seq demonstrate that melanocytes utilize microphthalmia-associated transcription factor (MITF)-regulated autophagy to counteract protein aggregation, identifying aggregate removal as a core function of tanning. In contrast to extracellular aggregation, impaired intracellular aggregate removal contributes to melanocyte senescence, which conversely exacerbates chronic hypopigmentation and photoaging-related discoloration. These findings identify melanosomal proteinopathy as a common contributor to melanocyte dysfunction and suggest aggregate-focused management approaches.

molecular biology↗

bioRxiv2025

Fast-conducting mechanonociceptors uniquely engage reflexive and affective pain circuitry to drive protective responses

Nociceptors detect damaging stimuli and evoke pain in healthy animals. We conducted an optogenetic activation screen to identify genetically defined nociceptor populations that elicit place aversion and nocifensive behaviors in response to stimulation. Smr2Cre- and Bmpr1bCre-labeled A{delta} high-threshold mechanoreceptors (HTMRs) emerged as two of the few nociceptor populations, and we focused on investigating their physiological, morphological, functional, and synaptic properties. These neurons densely innervate skin and other organs, are activated only by intense, potentially damaging stimuli, and are necessary for protective responses to sharp mechanical stimuli. Centrally, A{delta}-HTMRs projections span multiple spinal segments and terminate across spinal cord laminae, forming strong, monosynaptic connections onto anterolateral tract projection neurons, including antenna cells of the deep dorsal horn. A{delta}-HTMRs also engage a local spinal reflex circuit enabling a remarkably rapid limb withdrawal. Thus, A{delta}-HTMRs are myelinated nociceptors with unique properties that can be exploited for development of new analgesics.

neuroscience↗

bioRxiv2025

Ambient mass spectrometry imaging enables spatial metabolomics of optimal cutting temperature compound (OCT)-embedded tumors

Mass spectrometry imaging (MSI) is emerging as a powerful tool for uncovering the distribution of metabolites in the tumor microenvironment and studying tumor metabolism in vivo. However, to date, MSI of primary patient biobanked tissues contextualized by patient data has been limited to peptides, proteins, and glycans - with few examples for metabolites. This is because most biobanked fresh-frozen tissue required for spatial metabolomics is embedded in optimal cutting temperature compound (OCT), which introduces high-abundance polymeric interferents. Herein, we use nanospray desorption electrospray ionization (nano-DESI) to demonstrate the MSI of metabolites in OCT-embedded tissue. Metabolite coverage and sensitivity for prepared tissue mimetic homogenates embedded in OCT and an MSI-compatible material, carboxymethylcellulose (CMC), showed excellent agreement. We apply our ambient MSI workflow to detect changes in intratumoral methionine using a preclinical cancer mouse model undergoing adoptive T-cell therapy. Eight days after tumor incubation, lymphoma-bearing mice were maintained on a complete or methionine-restricted diet for 2 days. Nano-DESI MSI revealed a heterogeneous tumor microenvironment, with multiple methionine-cycle intermediates (S-adenosylmethionine, S-adenosylhomocysteine) and related metabolites, including known T-cell modulators (1-methylnicotinamide, polyamines) localizing to tumor subregions. Methionine-restricted tumors exhibited reduced methionine levels and elevated S-adenosylmethionine, relative to the control group. Overall, this work demonstrates spatial metabolomics on fresh-frozen OCT-embedded tissue, unlocking the wealth of information stored in primary tissue biobanks and consequently accelerating our understanding of cancer metabolism and treatment.

cancer biology↗