Biology subjects

Wu, X.

Publications and source records attributed to Wu, X..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Conserved and species-specific STIM autoinhibition revealed by AlphaFold3-guided dissection

Store-operated Calcium (Ca2+) entry (SOCE), mediated by dynamic STIM-Orai coupling, is crucial for cellular signaling, yet the molecular architecture of STIM autoinhibition remains poorly defined. Using an AlphaFold3-guided functional validation strategy combining FRET-based biosensors, mutagenesis, and Ca2+ imaging, we systematically dissected the CC1-SOAR autoinhibitory interface in both human STIM1 and C. elegans STIM (cSTIM). Our results reveal a conserved hydrophobic core essential for maintaining the resting state in both species. Interestingly, cSTIM possesses an extended polar interaction network that strengthens autoinhibition and correlates with slower activation kinetics. Species-specific polar networks differentially modulate interface stability, providing an additional layer of regulatory tuning. This integrated approach not only validates AlphaFold3 as a powerful tool for studying dynamic regulatory interfaces but also establishes a structural framework for understanding STIM activation and disease-associated mutations, offering mechanistic insights with therapeutic implications for SOCE-related disorders.

developmental biology↗

bioRxiv2026

Mapping absolute membrane voltage using dynamic photocycle control

Fluorescent voltage indicators are widely used to report relative changes in membrane potential, but mapping absolute voltages remains difficult. Here we present Voltage Measurement by Activated Photocycles (VMAP), a simple method for absolute voltage imaging based on a photophysical switch between voltage-insensitive and sensitive indicator states. VMAP requires no specialized hardware or additional labeling, and is applicable across species, sample preparations, and microscope configurations. Using VMAP, we quantified drug-induced shifts in neuronal resting potential, revealed the emergence of bioelectric patterns during multi-day recordings of human iPSC populations, and created 3D membrane-potential maps across whole live zebrafish embryos. By making absolute voltage imaging accessible from cellular to organismal scales and from milliseconds to days, VMAP opens a route to mapping bioelectrical organization in complex living systems.

biophysics↗

bioRxiv2026

CAR T cell foundation model predicts immunotherapy response

Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signals into patient-level therapeutic response remains challenging. Existing studies primarily identify response-associated genes or cell populations through experimental and statistical analyses, but few predictive frameworks integrate gene-level structure with clinical outcomes. Here, we present gANCHOR, a T-cell foundation model built on a hierarchical hypergraph attention framework combining biologically informed representation learning with patient-level response prediction. By encoding gene-pathway relationships, gANCHOR learns pathway-aware cell embeddings that improve biological conservation and batch robustness. A cell-to-patient attention module then aggregates cellular information to infer therapeutic response. Across benchmark datasets, gANCHOR achieved the strongest overall performance in biological conservation and batch-correction assessments. In response prediction across 161 patients from five CAR T-cell studies, gANCHOR achieved an F1 score of 0.87, outperforming benchmarked single-cell foundation models. gANCHOR also identified reproducible response- and non-response-associated gene programs, providing interpretable biological insights into CAR T-cell efficacy and resistance.

bioinformatics↗

bioRxiv2026

A Nerve-Dependent NGF Receptor Switch Controls Corneal Epithelial Renewal In Neurotrophic Keratopathy

Corneal epithelial integrity depends on continuous epithelial renewal by limbal epithelial stem cells (LESCs), a process tightly linked to sensory innervation. Loss or impairment of innervation causes neurotrophic keratopathy (NK), a sight-threatening degenerative disease for which rhNGF, the only FDA-approved pharmacologic therapy, often has limited efficacy in advanced or refractory disease. The mechanistic basis for this limited response remains unclear. Using surgical, genetic, and pharmacologic approaches in a rodent model of NK with corneal Schwann cell ablation or structural and functional denervation, together with primary human LESCs, we examined how denervation alters NGF receptor signaling during epithelial repair. In innervated corneas, NGF promoted epithelial regeneration through TrkA. Denervation, however, increased expression of a second NGF receptor, anti-regenerative p75NTR, and activation of its effector JNK, and reduced the activity of the TrkA effector AKT in LESCs. In this altered receptor context, denervation-induced elevation of endogenous NGF amplified p75NTR signaling, thereby explaining the failure of topical rhNGF to rescue severely denervated NK phenotype corneas. Conversely, selective TrkA activation, either with the clinical-stage agonist tavilermide, or pharmacologic or genetic inhibition/ablation of p75NTR, restored AKT signaling and rescued epithelial healing in denervated corneas independent of reinnervation. These findings identify a nerve-dependent NGF receptor switch as a key regulator of corneal epithelial renewal and establish receptor-selective modulation as a mechanistically rational therapeutic strategy for treating NK. One Sentence SummaryCorneal denervation shifts limbal epithelial stem cell signaling from pro-regenerative TrkA-AKT toward anti-regenerative p75NTR-JNK, explaining the limited efficacy of recombinant human nerve growth factor (rhNGF; cenegermin), the only approved pharmacologic therapy for neurotrophic keratopathy, in severely denervated corneas and identifying receptor-selective modulation as a mechanistically distinct therapeutic strategy.

cell biology↗

bioRxiv2026

Critical Scaling Laws and Universality Classes in Biomolecular Condensates

Biomolecular condensates are widespread cellular self-assembled structures with essential functions. There are suggestions of condensates formed by different proteins being near criticality. However, systematic investigation of the criticality of condensates is absent, and critical exponents defining their universality class have not been found. Here, using long-time simulations, we show that condensates exhibit typical critical phenomena, including scale-free spatiotemporal correlations, critical slowing down, divergence of correlation length and dynamic scaling. From these scaling behaviors, a set of critical exponents is determined. Based on dynamic critical exponent, diverse condensates can be divided into two distinct universality classes, arising from differences in their molecular components and interaction types.

biophysics↗

bioRxiv2026

Ciliary integrity defines a central canal repair checkpoint linking microtubule stabilization to spinal cord regeneration

Microtubule-stabilizing agents consistently improve functional recovery after spinal cord injury (SCI), yet the structural mechanism underlying their shared therapeutic effects remains unclear. Here, we find that chemically distinct stabilizers converge on preservation of ciliary integrity within central canal-associated cells, including ependymal cells and cerebrospinal fluid-contacting neurons. Using complementary SCI models, including complete transection and crush injury, we observe that maintenance of ciliary architecture is associated with reduced glial scarring, improved tissue continuity, and enhanced locomotor recovery. Single-cell transcriptomic analysis further identifies these cell populations as prominent responders to microtubule stabilization, with ciliogenesis-related programs selectively preserved. Importantly, pharmacological disruption of cilia-associated signaling attenuates recovery, whereas promoting ciliogenesis partially recapitulates therapeutic effects, identifying ciliary integrity as a critical cilia-associated structural dependency that contributes to microtubule-stabilizer-mediated spinal cord repair. Together, these findings identify a cilia-dependent central canal regenerative niche as a candidate structural checkpoint linking microtubule stabilization to functional recovery after SCI and identify ciliogenesis as a therapeutically actionable target for SCI. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/733052v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@320578org.highwire.dtl.DTLVardef@5240dorg.highwire.dtl.DTLVardef@181f251org.highwire.dtl.DTLVardef@4bacd1_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

Structural and Dynamic Basis of TREM2--DAP12 Stabilization by Small-Molecule Agonist VG-3927

Triggering receptor expressed on myeloid cells 2 (TREM2) is an important microglial receptor implicated in Alzheimers disease, but the structural basis of small-molecule TREM2 agonism remains poorly understood. In particular, the clinical-stage agonist VG-3927 has been reported to promote TREM2-DAP12 complex formation, suggesting a mechanism distinct from conventional recognition at the ectodomain surface. Here, we propose that VG-3927 binds within a membrane-embedded interfacial cavity formed by the transmembrane helices of TREM2, DAP12A, and DAP12B. Our simulations support a stable and reproducible cavity-bound pose that is maintained across independent trajectories and is anchored by a persistent hotspot network dominated by hydrophobic and van der Waals interactions. Rather than merely occupying a pre-existing pocket, VG-3927 reshapes the surrounding transmembrane assembly by reinforcing selected interhelical contacts, strengthening receptor-adaptor hydrogen-bond coupling, and biasing the three-helix bundle toward a more compact, more upright, and more conformationally focused state. Importantly, the ligand-bound ensemble remains within a subdomain of the apo conformational landscape, consistent with stabilization of a pre-existing but less populated signaling-relevant state. Together, these findings support a membrane-asscosiated mechanism in which VG-3927 acts as a transmembrane interfacial molecular glue, biasing the TREM2-DAP12 complex toward a more compact, ordered, and signaling-competent state. This finding can provide a structural framework for understanding small-molecule TREM2 agonism.

Molecular Biology↗

bioRxiv2026

TetraFuse: A Synergistic Four-Dimensional Dynamic Fusion Framework for Efficient and Robust Medical Image Classification

Accurate and robust classification of medical pathology images is pivotal for computer-aided diagnosis. However, the deployment of deep learning models in high-throughput clinical screening faces a fundamental challenge: the trade-off between diagnostic accuracy and computational efficiency. Current lightweight architectures, while reducing parameter complexity through grouped convolutions, often lead to cross-channel information isolation and diminished representational capacity. In this paper, we propose TetraFuse, a novel framework that systematically integrates features from four complementary domains: space, channel, statistics, and frequency. TetraFuse introduces a novel Cross-Channel Dynamic Aggregation (CCDA) paradigm that reconstructs global channel topology with negligible computational overhead, resolving the inter-group isolation issue. To balance perceptual fidelity and efficiency, we design a stage-aware local enhancement mechanism: Local Variance-Guided Enhancer (LVGE) is employed to filter out shallow-stage background noise, while High-Frequency Boundary Injection (HFBI) reinforces deep-stage pathological contours, preventing spatial over-smoothing. Experimental results on the COVID-19, ISIC 2018, and Kvasir datasets confirm that TetraFuse outperforms state-of-the-art (SOTA) methods. Notably, TetraFuse-Tiny achieves a transformative 91.53% reduction in FLOPs compared to ResNet50; on the Kvasir dataset, it achieved an accuracy of 0.926 and an AUC of 0.994 with only 0.345G FLOPs. By combining high representational power with minimal computational demand, TetraFuse offers a scalable solution for large-scale medical image analysis, especially in resource-constrained clinical environments.

bioinformatics↗

bioRxiv2026

Alginate-Coated Collagen Hydrogel Tubes for Scalable Cell and Biotherapeutic Particle Manufacturing

Efficient, scalable, and cost-effective production of mammalian cells and biotherapeutic particles remains a major challenge for both research and clinical applications. Conventional 2D and 3D culture systems suffer from low volumetric yields, poor scalability, and high costs. Previously, we developed collagen hydrogel tube microbioreactors (ColTubes) that support high-density, high-viability cell culture by preventing excessive cell aggregation and minimizing hydrodynamic stress. However, ColTubes exhibit adhesion to culture vessels and to each other, and leaked cells frequently attach to outer tube surfaces -- behaviors that would limit scalability. Here we introduce AlgColTubes: collagen hydrogel tubes coated with a thin, ionically crosslinked alginate layer to overcome these limitations. Scanning electron microscopy confirms that alginate penetrates the collagen wall and forms a stable interpenetrating hydrogel network, whose depth can be tuned by coating concentration and duration. The alginate coating remains structurally intact under static and dynamic culture conditions without impairing nutrient transport or cell growth. AlgColTubes eliminate tube-tube and tube-vessel adhesion, and prevent exogenous cell attachment to the outer surface, while maintaining cell viability and proliferation comparable to uncoated ColTubes. Their unique architecture -- an adhesive collagen interior and non-adhesive alginate exterior -- further enables a truncated-tube format for continuous release of biotherapeutic particles through open tube ends. We demonstrate that lentivirus is released from truncated AlgColTubes in a segment length-dependent manner, reaching ~100% release efficiency at 1-mm segment lengths. AlgColTubes provide a scalable, cost-effective platform for high-yield cell and particle manufacturing, with broad potential across basic research, translational studies, and industrial bioprocessing.

bioengineering↗

bioRxiv2026

Epigenome Alterations and 3D Chromatin Architecture Remodeling in Inflammatory Macrophage Activation under Diabetic Conditions

Aberrant monocyte/macrophage activation in diabetes drives chronic inflammation and complications. While epigenetic mechanisms are implicated, the role of 3D-chromatin reorganization remains unclear. Using integrated multi-Omics, we profiled gene expression and 3D-chromatin architecture in human CD14+ monocyte-differentiated macrophages treated with high glucose + TNF- (HT) mimicking the diabetic milieu. HT induced inflammatory programs resembling those in diabetes, and dynamically altered chromatin accessibility, enhancer-promoter loops, transcriptionally active/inactive (A/B) compartments, and topologically associated domains. Inflammatory genes exhibited increased, whereas cell-cycle and metabolic genes showed reduced chromatin accessibility and enhancer-promoter interactions. These architectural changes facilitated the convergence of lineage-specific and signal-dependent transcription factors at enhancer-promoter loops, forming network hubs orchestrating pro-inflammatory responses. Similar enhancer-promoter interactions were observed in monocytes from individuals with diabetes. Perturbing chromatin interactions via CRISPR-interference targeting HT-induced enhancers suppressed inflammatory gene expression. Results from this first comprehensive enhancer connectome maps in macrophages under diabetic conditions reveal disease-associated rewiring of the 3D epigenome, highlighting epigenetic mechanisms as potential therapeutic targets. TeaserDiabetic conditions rewire 3D chromatin organization and enhancer-promoter interactions in human macrophages, promoting chronic inflammation.

genomics↗

bioRxiv2026

Elamipretide reverses female fertility decline during reproductive aging via regulating VEGF in oocytes

Aging is one of the primary drivers for the decline of female fertility, and oocyte quality is the main cause for ovary aging, which is related with infertility. Although some effective anti-aging natural components have been reported, highly efficient strategies for reversing ovary aging remain lacking. In this study, we reported that peptide elamipretide reserved ovary function for female fertility during maternal aging. Our findings demonstrated that elamipretide improved aged human oocyte maturation and fertilization. Elamipretide injection increased the litter size of aged mice, and improved oocyte quality with the reverse of follicle and embryo development defect. Metabolomic and transcriptomic analyses demonstrated that multiple biological processes in oocytes were significantly reserved. Both nuclear maturation and cytoplasmic maturation of aged oocytes were improved, showing with enhancing cytoskeletal dynamics, mitochondrial metabolism and organelle rearrangement. In vitro supplementation during culture also restored oocyte developmental competence in both mouse and porcine oocytes. Mechanistic analysis suggested that elamipretide reversed age-related ovarian damage via synergistic activation of the Vitamin B6-VEGF axis. Therefore, our study proposed a new peptide therapy for aging-induced infertility, showing that elamipretide reverses aged oocyte quality for fertility by promoting both nuclear and cytoplasmic maturation through the coordination with VEGF signaling pathway.

developmental biology↗

bioRxiv2026

A Sandwich-Structured Silk Fibroin Mesh with ROS-Responsive and Immunoregulatory Functions for Pelvic Floor Repair

Current biodegradable meshes for pelvic floor repair are constrained by a limited ability to actively modulate the hostile immune microenvironment following implantation. To address these challenges, we developed a functionalized degradable silk fibroin mesh (SFM) integrated with a reactive oxygen species (ROS)-responsive nanocomposite hydrogel. The resulting composite mesh, SFM@Gel-NP, features a "hydrogel-mesh-hydrogel" sandwich structure, wherein the hydrogel layers are loaded with self-assembled nanoparticles (NP-H-CRFP) for the co-delivery of the STING inhibitor H-151 and the ROS-scavenging agent catechin. This design provides immediate mechanical reinforcement while enabling microenvironment-triggered drug release. In vitro, NP-H-CRFP demonstrated efficient cellular uptake, significant ROS clearance, and effective attenuation of macrophage inflammation and apoptosis. In vivo, SFM@Gel-NP remodeled the local immune milieu by inhibiting the ROS/cGAS-STING/NF-{kappa}B axis, thereby promoting a shift from pro-inflammatory M1 toward pro-regenerative M2 macrophage polarization. This immunomodulatory effect, coupled with enhanced and well-organized collagen deposition--particularly of early type III collagen--resulted in improved tissue integration and repair. This work presents a novel strategy that combines structural reinforcement with active immune regulation, offering a promising next-generation solution for durable and functional pelvic floor reconstruction.

bioengineering↗

bioRxiv2026

Polarity remodeling of ventricular cardiomyocyte precursors during heart morphogenesis is required for ventricular chamber formation

Vertebrate heart development requires precise regulation of morphogenetic movements and dysregulation causes congenital heart defects. However, cell polarity remodeling during early heart tube formation remains underexplored. Here, we show that zebrafish ventricular cardiomyocyte precursors (vCPCs) undergo striking polarity reorientation as they transition from a single-layered epithelium to a transient double-layered configuration by involution. During this process, vCPCs remove inner adherens components and re-establish polarity toward the ECM-attached outer surface, enabling proper directional extension to form the ventricle. We identify the junctional scaffold protein Afadin a (Afdna) as a critical regulator. Afdna localizes to the outer and lateral membrane to restrict Rap1 activity, facilitating Podocalyxin translocation and adhesion disassembly at the inner interface between vCPC double layers. afdna mutants exhibit a multilayered ventricle with impaired blood flow, phenocopying human congenital ventricular obliteration. Our findings uncover a polarity-based mechanism ensuring ventricular chamber formation and provide insight into ventricular obliteration.

developmental biology↗

bioRxiv2026

Atlas-Level Single-Cell and Spatial Transcriptomics Data Integration via PRIME

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have enabled atlas-scale cellular cartography, with consortium efforts now assembling millions of cells across diverse tissues, donors, and technologies to build comprehensive references for cell identify and disease mechanism, yet the scientific value of these atlases hinges on robust computational integration across heterogeneous data sources. Unlike pairwise batch correction, atlas-level integration must jointly reconcile heterogeneous and often hierarchically nested batch effects across many datasets whose cell-type compositions are highly imbalanced, all while preserving subtle biological variation and remaining computationally tractable at the scale of millions of cells. Existing approaches often prioritize either batch mixing or preservation of local biological structure, and most cannot natively accommodate spatial coordinates. Here we introduce PRIME (Projection-based Robust Integration via Manifold Embedding), an ensemble integration framework that combines random-projection-based consensus anchoring, graph-Laplacian correction, and optional spatial-neighborhood regularization. Across multiple random projections of the expression manifold, PRIME uses consensus voting to keep only cell pairs that repeatedly matched, reducing false anchors caused by projection-specific distortions. For ST, PRIME couples this expression-based anchor graph with a coordinate-derived spatial neighborhood graph in a unified graph-Laplacian objective with closed-form solution, enabling simultaneous cross-batch alignment and local spatial coherence. Based on extensive benchmarking spanning diverse datasets, we show that PRIME consistently outperforms state-of-the-art methods in both batch correction and biological conservation across scRNA-seq and ST integration scenarios and downstream tasks including trajectory inference, spatial-domain preservation, and perturbation-response analysis. Particularly, when integrating a human hematopoiesis benchmark spanning eight donors and approximately 33,000 cells, PRIME preserves biologically coherent developmental trajectories in human hematopoiesis. It also maintains cortical laminar architecture across dorsolateral prefrontal cortex sections in a ST dataset and recovers known drug-target relationships in a perturbation atlas of more than 1 million cells while suppressing batch-associated confounders. Together, these results establish PRIME as a versatile and scalable framework for atlas-level integration of scRNA-seq and ST across diverse biological applications.

bioinformatics↗

bioRxiv2026

A proteomic atlas of organelle remodeling identifies lysosomal SNX3 as a regulator of Notch signaling in epidermal differentiation

Differentiation of epidermal keratinocytes is accompanied by profound reorganization of intracellular architecture, but how organelle remodeling interfaces with cell fate control is not well understood. Here, we generate a compartment-resolved proteomic map of keratinocyte differentiation and identify extensive remodeling of lysosomes, mitochondria, autophagic vesicles, plasma membrane, and nucleus. Differentiating keratinocytes display coordinated enrichment of lysosomal degradative machinery, vesicular trafficking factors, and mitochondrial metabolic proteins, revealing organelle remodeling as a prominent feature of epidermal differentiation. From the lysosomal proteome, we identify Sorting Nexin 3 (SNX3) as a critical regulator of epidermal homeostasis. SNX3 increasingly localizes to LAMP1-positive vesicles during differentiation, and its loss impairs epidermal differentiation, suppresses Notch signaling, and promotes proliferative gene expression. In vivo, SNX3-deficient skin grafts fail to maintain normal epidermal architecture and instead develop into squamous cell carcinoma. Mechanistically, SNX3 mediates efficient Notch receptor activation, as SNX3 loss reduces nuclear Notch1 and NICD production, whereas NICD re-expression can rescue the differentiation defect. Our study defines a proteomic framework for organelle remodeling during epidermal differentiation and identifies lysosome-associated SNX3 as a key link between endolysosomal trafficking, Notch signaling, and epidermal tissue homeostasis.

cell biology↗

bioRxiv2026

Integrative Single-Cell and Multi-Cohort Analysis of the Netrin-1 Signaling Pathway Reveals Divergent Prognostic Trends and Sex-Dimorphic Associations in Glioblastoma

BackgroundThe Netrin-1 dependence receptor pathway plays critical roles in neural development, but its expression landscape and prognostic significance in glioblastoma (GBM) remain poorly characterized. MethodsSingle-cell RNA-seq data from 148,019 cells across 34 tumors (Neftel et al., 2019) were analyzed to map Netrin-1 pathway gene expression across GBM cellular states. Differential gene expression and pathway enrichment analyses were performed on NEO1-defined subpopulations. Bulk RNA-seq survival analysis was conducted across three independent GBM cohorts TCGA (n=106), CGGA mRNAseq_325 (n=137), and CGGA mRNAseq_693 (n=237), totaling 480 patients. Primary analysis used continuous Cox regression (per-SD hazard ratios); meta-analysis employed fixed-effects inverse-variance weighting. ResultsIn GBM single-cell data, Netrin-1 pathway genes showed state-specific enrichment --NEO1, DCC, NTN1, and RGMB were predominantly expressed in oligodendrocyte-precursor (OPC) and neural-progenitor (NPC) states. Cells positive for NEO1 were enriched for neural differentiation programs (nervous system development, p=9.6x10-; Axon Guidance, p=2.8x10-), whereas NEO1-negative cells were dominated by ribosomal/translational and immune activation programs. In the 3-cohort survival meta-analysis, NTN1 (Netrin-1 ligand) emerged as the sole gene reaching meta-analytic significance as a risk factor (Meta HR=1.163 per SD, 95% CI 1.056-1.281, p=0.0021, I{superscript 2}=0%, 3/3 cohorts concordant), while DCC and RGMB showed directionally consistent protective trends (DCC: Meta HR=0.938, 95% CI 0.858-1.025, p=0.156; RGMB: Meta HR=0.979, 95% CI 0.881-1.087, p=0.686; both 3/3 cohorts concordant). NEO1 itself did not independently predict survival (Meta HR=1.008, 95% CI 0.885-1.147, p=0.910). After Bonferroni correction for 10 genes tested (threshold p<0.005), only NTN1 met strict significance. In exploratory sex-stratified analysis of a single cohort (CGGA 693, n=237), NEO1 and NTN1 exhibited female-specific risk enhancement (NEO1: HR=1.417, p=0.014; NTN1: HR=1.249, p=0.019), with minimal effects in males. UNC5B showed context-dependent risk in MGMT-unmethylated tumors (HR=1.331, p=0.037). These sex-dimorphic findings require independent validation. ConclusionsThe Netrin-1 pathway exhibits divergent prognostic trends in GBM, with NTN1 as a risk factor and DCC trending toward protection--consistent with the dependence receptor model. These findings, which should be interpreted as hypothesis-generating, nominate NTN1 as a candidate therapeutic target and highlight the potential importance of sex-stratified evaluation in future Netrin-1-directed trials. Independent replication in larger cohorts is warranted.

cancer biology↗

bioRxiv2026

ProtmRNA: Cross-Modal Knowledge Transfer from Proteins to Messenger RNA

MotivationAccording to the central dogma of molecular biology, messenger RNA (mRNA) sequences are directly translated into amino acid sequences, positioning mRNA as the fundamental intermediary between genetic information and functional proteins. This natural correspondence suggests that mRNA sequence analysis could greatly benefit from the rich evolutionary and functional representations learned by large-scale protein language models. ResultsProtmRNA repurposes the pre-trained ESM-2 protein language model for mRNA sequence processing via cross-modal transfer learning. Evaluated on mRNA- and protein-related datasets, along with eight additional benchmarks compiled in this study, ProtmRNA achieves performance comparable or superior to state-of-the-art mRNA language models while using less than half the pre-training computational resources. This work establishes the potential of cross-modal transfer learning between biological sequences by demonstrating that protein-derived knowledge can be efficiently transferred to mRNA, offering a resource-efficient paradigm for advancing mRNA sequence understanding. Availability and ImplementationThe pre-trained ProtmRNA model and the eight CDS-region regression benchmarks curated in this study are publicly available at https://github.com/pesenteur/ProtmRNA.

bioinformatics↗

bioRxiv2026

Membrane-anchored influenza neuraminidase vaccine drives human-like broadly protective B cell responses

Influenza neuraminidase (NA) is a promising target for universal flu vaccines, yet eliciting potent B-cell responses against its conserved epitopes remains challenging. Here, we developed a membrane-anchored, folding-domain-free NA (mNA) that elicited superior head-specific germinal center B cell and antibody responses compared to soluble tetrameric NA. In non-human primates, mNA immunization induced cross-reactive memory B cell (MBC) responses, expanding clones with the conserved "DR" motif in HCDR3, a hallmark of human broadly reactive NA antibodies. These MBCs conferred cross-inhibitory activity against diverse NA variants and in vivo cross-protection. Cryo-EM analysis revealed that the 554-C2 clone targets the conserved enzymatic pocket via the "DR" motif, while the 554-C1 clone recognizes previously uncharacterized epitopes at the interface between two adjacent N2 monomers, effectively reducing plaque formation by contemporary H3N2 strains. Our findings highlight the immunological advantages of membrane-anchoring, providing a robust strategy for designing next-generation vaccines against influenza and other pathogens.

immunology↗