Search bioRxiv⌕ Search

Biology subjects

Yuan, F.

Publications and source records attributed to Yuan, F..

At least 19 recordsLinked to original sources

Lef1 Promotes Foxi1-Dependent Ionocyte Specification by Airway Submucosal Gland Progenitors

Pulmonary ionocytes are rare cells in submucosal gland (SMG)-containing airways thought to have specialized ion transport properties that regulate airway surface fluid and mucus composition. The origins of pulmonary ionocytes remain unclear, but their association with airway SMGs suggests they may arise from specialized progenitors in this compartment. We show that mouse glandular myoepithelial cells (GMECs) have a unique capacity to specify ionocytes enriched in the Cftr channel. The Lef1 transcription factor was both necessary and sufficient to promote GMEC specification of ionocytes in mouse trachea, 3D organoids, and/or air-liquid interface (ALI) cultures. Overexpression of Lef1 (Lef1OE) in GMECs produced ionocyte-enriched epithelia with enhanced Cftr-mediated chloride, bicarbonate, and fluid transport properties. Moreover, Foxi1 knockout in Lef1OE GMECs prevented ionocyte formation while promoting specification of Cftr-expressing secretory cells. These findings provide a progenitor relationship for the anatomical association of ionocytes with SMGs and a transcriptional framework for coordinated specification of CFTR-expressing ionocytes and secretory cells.

cell biology↗

Curvature sensing and generation by diverse membrane-tethered polymers can be explained by a unifying physical model

Cell membranes are decorated by dense, polymeric macromolecules such as proteins with bulky intrinsically disordered regions, glycosylated proteins, and glycopolymers. Experiments have illustrated that the curvature of cellular membranes, which plays a role in diverse biological processes, can be regulated by the local density of these membrane-tethered polymers and their response to environmental changes. However, the mechanisms underlying the feedback between solution conditions, membrane curvature, and the local density and molecular weight of membrane-tethered polymers remain largely unexplored. In this work, using a combination of theory and experiment, we show that the ionic strength of the surrounding solution and the degree of ionization both play important roles in regulating the conformation of the membrane-tethered polymers, which in turn influences their membrane curvature generation capabilities. Specifically, we show that for negatively charged, disordered proteins and glycans, the thickness of the polymer brush decreases with ionic strength but increases with grafting density and degree of ionization, resulting in enhanced sensitivity to membrane curvature and an amplified ability to drive membrane curvature at lower ionic concentrations. Our findings reveal a mechanism by which membrane-tethered polymers generate membrane curvature to minimize free energy, with the extent of curvature generation modulated by the polymer grafting density and layer thickness, as well as by the ionic strength of the surrounding solution. The implications of these findings are broad, suggesting that perturbations to biopolymer charge, such as sialylation of glycans and phosphorylation of disordered proteins, could actively modulate membrane curvature induction in diverse cellular processes from endocytosis to cell motility.

biophysics↗

Epitope-Focused Immunogens Confer Broad Protection against Coronaviruses

Variable regions in coronavirus spike dominate antibody responses elicited by infection or conventional vaccination and limit induction of broad neutralization. In contrast, conserved S2 elements, including the stem helix (SH) and fusion peptide proximal region (FPPR), are promising but subdominant targets of protective immunity. Here, we employed computational design to generate de novo epitope-focused immunogens that precisely present the SH and FPPR epitopes. Formulated as combinatorial immunogens, this vaccine elicited consistent serum responses with broad reactivity across known human coronaviruses and induced epitope-specific antibodies with broad neutralizing activity. As a heterologous boost, epitope-focused immunogens protected mice against challenge with phylogenetically distinct coronaviruses, including bat SARS-related RsSHC014-CoV and MERS-CoV, establishing a generalizable strategy for precision immune focusing and advancing universal coronavirus vaccine development.

bioengineering↗

DOMINO: Learning Domain Co-occurrence for Multidomain Protein Design

Multidomain proteins arise through the reuse and recombination of structural domains, yet natural architectures represent a sparse, structured sample of the possible domain-combination space. Here, we introduce DOMINO, a two-stage framework that learns domain co-occurrence from TED-annotated multidomain proteins and uses the learned patterns to generate new multidomain sequences. DOMIN, a contrastive retrieval model, embeds domains into a latent compatibility space and retrieves candidate partners for a query domain from a TED-derived domain pool, including pairings not observed in the TED-derived co-occurrence set. DOMO, a conditional autoregressive sequence model, converts each retrieved domain pair into a full-length protein sequence by jointly generating the specified domain regions and the non-domain sequence context between and around them. DOMIN recovers hierarchical patterns of natural domain co-occurrence and expands the observed CATH homologous-superfamily co-occurrence network with candidate novel pairings. DOMO realizes both held-out natural pairs and DOMIN-retrieved pairs as proteins with high domain recovery and high AlphaFold-predicted structural confidence. Applied at scale, DOMINO generated 5 million retrieval-derived multidomain proteins, with sampled designs showing recovery of the specified domains, diverse CATH annotations, and sequence novelty relative to UniRef100. Together, these results support domain co-occurrence as a predictive design prior and demonstrate a scalable strategy for exploring multidomain protein architectures through new combinations of existing structural modules.

bioinformatics↗

Identification of a neural circuit that enables safe, long-term torpor in mice

Torpor, a state of regulated hypothermia and hypometabolism, is a critical survival strategy in certain mammals. Previous studies established the primacy of neuron control in initiating acute torpor. However, whether neuromodulation can safely sustain torpor over the long term, and the specific governing pathways, remain unanswered challenges limiting its translational potential. Here we identify a distinct preoptic neuronal population expressing General control nonderepressible 2 ( G neurons) in mice that is essential and sufficient for torpor induction. Strikingly, sustained and selective activation of G neurons induces a stable, weeks-long torpid state (G neuron-driven long-term torpor, GLT), from which animals arouse without obvious behavioral deficits or tissue pathology. In contrast, long-term torpor driven by pan-neuronal activation of the same brain region (PLT) causes multiple post-recovery damages, underscoring the unique safety profile of selective pathway of G neurons. In a mouse cancer model, GLT directly suppressed tumor proliferation and markedly sensitized tumors to chemotherapy, achieving profound therapeutic outcomes. Together, we delineate a distinct neuronal population safely enabling prolonged torpor. This establishes a specific paradigm for inducing a stable and sustained hypometabolic state, providing a transformative platform for fundamental physiological research and pioneering clinical strategies against chronic pathologies such as cancer.

neuroscience↗

The tongue-brain axis mediates a hidden amino acid appetite

Selecting a diet containing all essential amino acids (EAAs) is critical for health. Following EAA deprivation, animals can select a nutritiously complete food source; however, the underlying mechanisms in vertebrates remain unclear. In mice, we show that leucine deficiency activates hypothalamic agouti-related protein (AgRP) neurons, which project to the paraventricular thalamus (PVT) via {gamma}-aminobutyric acid and are required for EAA deficiency-induced leucine appetite in mice. Furthermore, the peripheral tongue amino acid sensor general control nonderepressive-2 (GCN2) mediates acute EAA appetite via AgRP neurons. Together, these findings identify a tongue-AgRP-PVT circuit underlying EAA appetite, which is important for the rapid and accurate selection of essential nutrients.

neuroscience↗

Pharmacological induction of mitochondrial stress counteracts therapy resistance in glioblastoma stem-like cells

Glioblastoma (GBM) stem-like cells (GSCs) contribute to therapeutic resistance and recurrence. We sought to define cellular processes underlying GSC resilience. We discovered that GSCs, unlike differentiated GBM cells (DGCs) or non-malignant neural cells, depend on mitochondrial function for survival. To target this vulnerability, we exploited doxycycline (DOXY), an antibiotic used in humans, to interfere with mitochondrial protein translation. DOXY induced cell death and inhibited sphere formation in GSCs, but not in DGCs or non-malignant cells, indicating a differentiation state-selective effect. Mechanistically, DOXY induced mitochondrial dysfunction and activated a stress-responsive apoptotic program involving HRI-mediated signaling. DOXY displayed antitumor efficacy in patient-derived GBM organoid and orthotopic xenograft models. Our study reveals that DOXY can selectively target undifferentiated glioma cells, informing a drug repurposing-based strategy.

cancer biology↗

PRIME: A Multi-Agent Environment for Orchestrating Dynamic Computational Workflows in Protein Engineering

Artificial intelligence (AI) is revolutionizing protein engineering, yet its practical application is often hindered by a fragmented toolchain and the specialized expertise required to orchestrate complex computational workflows. To address these challenges, we have developed PRIME, an autonomous protein engineering multi-agent system. The core innovation of PRIME is dynamic workflow synthesis: it interprets high-level engineering objectives, reasons over a curated library of more than 65 validated protein tools, and autonomously constructs custom computational pathways. Crucially, by grounding every step in verifiable tool execution, PRIME mitigates the risk of model hallucination. It also automates the complete pipeline for developing specialized AI models, from data acquisition through training. In a benchmark of 213 multi-step protein engineering tasks, PRIME exhibited superior performance, successfully completing the majority of tasks where state-of-the-art, general-purpose AI agents fail. We validated its capabilities in demanding real-world applications, including the fully autonomous training of a machine learning classifier and the de novo design of a therapeutic antibody against SARS-CoV-2. By abstracting technical complexity, PRIME empowers scientists to execute sophisticated computational experiments with unprecedented flexibility, establishing a new paradigm for autonomous scientific discovery. The PRIME agent and source code will be made publicly available.

bioinformatics↗

Gain-of-function mutant p53 regulates long-noncoding RNA LINC00643 to modulate HIF1α in glioblastoma

Gain-of-function mutations of p53 (GOF-MUT-p53) act as oncogenes by regulating gene transcription. We screened for the genome-wide transcriptional targets of GOF-MUT-p53 in glioblastoma (GBM) and found that a significant subset of them were long non-coding RNAs (lncRNA). Among these, LINC00643 was strongly repressed by GOF-MUT-p53 but not wild-type p53. LINC00643 was downregulated in GBM and low-grade glioma and correlated with patient survival. LINC00643 and its conserved third exon (Exon3) suppressed GBM cell proliferation, migration, invasion, stem cell self-renewal, and in vivo tumor growth Mechanistically, ChIRP-seq identified HIF1 as a key LINC00643 interactor. Under hypoxia, LINC00643 repressed HIF1 expression and its target genes by interacting with the HIF1 enhancer. Knockdown of GOF-MUT-p53 upregulated LINC00643 and reduces HIF1, revealing a regulatory axis. These findings show extensive regulation of lncRNAs by GOF-MUT-p53 and uncover a novel mechanism by which GOF-MUT-p53 drives GBM through repression of LINC00643 and dysregulation of the HIF1 pathway.

cancer biology↗

QKI ensures splicing fidelity during cardiogenesis by engaging the U6 tri-snRNP to activate splicing at weak 5' splice sites

During organogenesis, precise pre-mRNA splicing is essential to assemble tissue architecture. Many developmentally essential exons bear weak 5' splice sites (5'SS) yet are spliced with high precision, implying unknown yet active splicing fidelity mechanisms. By combining transcriptome and alternative splicing profiling with temporal eCLIP mapping of RNA interactions across development, we identify the RNA-binding protein QKI as an essential direct regulator of splicing fidelity in key cardiac transcripts. Although QKI is dispensable for cardiac specification, its loss disrupts sarcomere assembly despite intact expression of sarcomere mRNAs through exon skipping and nuclear retention of mis-spliced RNAs. QKI-dependent exons in essential cardiac genes have weak 5'SS and frequently show poor complementarity with U6 snRNA. We show that QKI directly interacts with U6 snRNA using an overlapping interface to its traditional intronic binding activity, securing U4/U6{middle dot}U5 tri-snRNP to ensure splicing fidelity. Thus, QKI exemplifies how context-aware RBPs enforce splicing fidelity at structurally vulnerable splice sites during organogenesis.

cell biology↗

O-GlcNAcylation-Ubiquitin Crosstalk of METTL1 Drives m7G Epitranscriptomic Collapse and Lipid Metabolic Reprogramming in Diabetic Cardiomyopathy

BackgroundMetabolic remodelling and memory in cardiomyocytes is a pivotal mechanism underlying cardiomyopathy pathogenesis. Clinical observations demonstrate persistent progression of hyperglycaemia-induced multiorgan damage following blood glucose stabilization, which is predominantly mediated through epigenetic regulation. While prior studies have identified epigenetic contributions to hyperglycaemic myocardial injury, the involvement of RNA methylation-particularly N7-methylguanosine (m7G) modification-in this regulatory network remains undefined. MethodsClinical specimens were collected from diabetic patients, and cardiomyocyte-specific METTL1 and ob/ob knockout murine models were established in parallel. Multiomic profiling (proteomics, glycoproteomics, ubiquitinomics, m7G-MeRIP sequencing, and metabolomics) was systematically conducted. The molecular mechanisms governing METTL1 regulation via O-GlcNAcylation and ubiquitination were elucidated through integrated in vitro and in vivo assays. A DUB siRNA library and computational strategies combining molecular docking with molecular dynamics simulations were employed for screening drugs targeting METTL1 O-GlcNAcylation, followed by in vivo therapeutic validation. ResultsComparative analysis of diabetic murine and human samples revealed strong METTL1 downregulation in cardiomyopathy contexts. Tamoxifen-inducible METTL1 knockout mice presented exacerbated diabetic cardiomyopathy phenotypes, confirming its cardioprotective function. Multiomic integration demonstrated that METTL1-mediated m7G modification critically regulates cardiomyocyte fatty acid metabolism. Mechanistically, hyperglycaemia was found to induce O-GlcNAcylation at the METTL1-T268 residue, suppressing m7G methyltransferase activity by 38% (p < 0.01). Subsequent investigations revealed that USP5 deubiquitinase activity is impaired under hyperglycaemic conditions, leading to accelerated METTL1 degradation. Notably, administration of the first-in-class small drug HIT106265621 significantly attenuated cardiomyopathy-associated pathological alterations in ob/ob mice in vivo. ConclusionHyperglycaemia promotes METTL1 O-GlcNAcylation, which impedes USP5-mediated deubiquitination, consequently reducing cardiomyocyte METTL1 protein levels and m7G modification. METTL1 deficiency drives diabetic cardiomyopathy progression through fatty acid metabolic dysregulation, inflammatory activation, and myocardial hypertrophy. Pharmacological inhibition of the OGT-METTL1 interaction using HIT106265621 has therapeutic potential for metabolic cardiomyopathy intervention.

pathology↗

Elucidating the Contribution of OVLT Glutamatergic Neurons to Mineralocorticoid Hypertension in TASK-/- Mice

BackgroundAldosterone overactivity intensifies central sodium sensitivity and sympathetic output, driving salt-sensitive hypertension, but specific mechanisms remain incompletely defined. Herein, we aimed to explore the role of organum vasculosum of the lamina terminalis glutamatergic neurons (OVLTGlut) and their hyperexcitability mechanisms in hyperaldosteronism-associated hypertension. MethodsAdult age matched male TASK-/- mice (primary aldosteronism model) and wild-type controls (TASK+/+) mice were used. Neuronal excitability was assessed via patch-clamp techniques. Arterial blood pressure (BP) monitored via telemetry or carotid catheterization. Chronic drug delivery used minipumps. RNA-seq/qPCR profiled gene expression, and intracerebroventricular hypertonic saline tested sodium sensitivity. ResultsIn TASK-/- mice, heightened OVLTGlut activity increased sympathetic outflow and hypertension, mitigated by OVLTGlut neuron ablation. Optogenetic activation of these neurons or their paraventricular nucleus (PVN) / rostral ventrolateral medulla (RVLM) projections acutely elevated BP, with ablation reducing BP selectively in TASK-/- mice. Aldosterone dependence of OVLTGlut-PVN/RVLM neuron hyperactivity was evident in both TASK-/- mice and TASK+/+ mice with chronic aldosterone infusion. Aldosterone chronic infusion enhanced central sodium pressor effects, that were nullified by OVLTGlut-PVN/RVLM neuron lesioning. RNA-seq indicated that aldosterone-induced ion channel expression spectrum changes, including potassium channels and the epithelial sodium channel, underlie the neuronal hyperexcitability. ConclusionOveractivation of OVLTGlut neurons contributes to hypertension in TASK-/- mice through regulation of OVLTGlut-PVN/RVLM circuits. The hyperexcitability of these neurons, possibly due to aldosterone-induced changes in ion channel expression spectrum, contribute to hypertension by amplifying central sodium sensitivity.

neuroscience↗

Epsin1 enforces a condensation-dependent checkpoint for ubiquitylated cargo during clathrin-mediated endocytosis

Clathrin-mediated endocytosis internalizes proteins and lipids from the cell surface, supporting nutrient uptake, signaling, and membrane trafficking. Recent work has demonstrated that a flexible, liquid-like network of initiator proteins is responsible for catalyzing assembly of clathrin-coated vesicles in diverse organisms including yeast, mammals, and plants. How do cells regulate the assembly of this dynamic network to produce cargo-loaded vesicles? Here we reveal the ability of an endocytic adaptor protein, Epsin1, to conditionally stabilize the initiator protein network, creating a cargo-dependent checkpoint during clathrin-mediated endocytosis. Epsin1 is known to recruit ubiquitylated transmembrane proteins to endocytic sites. Using in vitro assays, we demonstrate that Epsin1 uses competitive binding and steric repulsion to destabilize condensation of initiator proteins in the absence of ubiquitin. However, when polyubiquitin is present, Epsin1 binds to both ubiquitin and initiator proteins, creating attractive interactions that stabilize condensation. Similarly, in mammalian cells, endocytic dynamics and ligand uptake are disrupted by removal of either ubiquitin or Epsin1. Surprisingly, when Epsin1 and ubiquitin are removed simultaneously, endocytic defects are rescued to near wildtype levels, although endocytic sites lose the ability to distinguish between ubiquitylated and non-ubiquitylated cargos. Taken together, these results suggest that Epsin1 tunes protein condensation to ensure the presence of ubiquitylated cargo during assembly of clathrin-coated vesicles. More broadly, these findings illustrate how a balance of attractive and repulsive molecular interactions controls the stability of liquid-like protein networks, providing dynamic control over key cellular events.

cell biology↗

Decoding the Molecular Language of Proteins with Evola

Proteins, natures intricate molecular machines, are the products of billions of years of evolution and play fundamental roles in sustaining life. Yet, deciphering their molecular language--understanding how sequences and structures encode biological functions--remains a cornerstone challenge. Here, we introduce Evolla, an interactive protein-language model designed to transcend static classification by interpreting protein function through natural language queries. Trained on 546 million protein-text pairs and refined via Direct Preference Optimization, Evolla couples high-dimensional molecular representations with generative semantic decoding. Benchmarking establishes Evollas superiority over general large language models in functional inference, demonstrates zero-shot performance parity with the state-of-the-art supervised model, and exposes remote functional relationships invisible to conventional alignment. We validate Evolla through two distinct applications: identifying candidate eukaryotic signature proteins in Asgard archaea, with functional Vps4 homologs validated via yeast complementation; and interactively discovering a novel deep-sea polyethylene terephthalate (PET) hydrolase, PsPETase, confirmed to degrade plastic films. These results position Evolla not merely as a predictor, but as a generative engine capable of complex hypothesis formulation, shifting the paradigm from static annotation to interactive, actionable discovery. The Evolla online service is available at http://www.chat-protein.com/.

bioinformatics↗

Poly-ubiquitylated transmembrane proteins outcompete other cargo for limited space inside clathrin-coated vesicles

Endocytic recycling of transmembrane proteins is essential to cell signaling, ligand uptake, protein traffic and degradation. The intracellular domains of many transmembrane proteins are ubiquitylated, which promotes their internalization by clathrin-mediated endocytosis. How might this enhanced internalization impact endocytic uptake of transmembrane proteins that lack ubiquitylation? Recent work demonstrates that diverse transmembrane proteins compete for space within highly crowded endocytic structures, suggesting that enhanced internalization of one group of transmembrane proteins may come at the expense of other groups. Here we show that preferential internalization of poly-ubiquitylated transmembrane proteins results in reduced endocytosis of mono-ubiquitylated and non-ubiquitylated proteins. Using a combination of live-cell imaging and ligand uptake assays, we confirmed that increased ubiquitylation correlates with increased internalization by clathrin-coated vesicles. Further, poly-ubiquitylated receptors significantly outcompeted their mono-ubiquitylated and non-ubiquitylated counterparts for localization to endocytic sites and uptake of extracellular ligands. These findings demonstrate the inherent interdependence of transmembrane protein recycling, suggesting that clathrin-coated vesicles act as selective filters, prioritizing highly ubiquitylated transmembrane proteins for uptake while leaving proteins with little or no ubiquitylation behind. Given that poly-ubiquitylation is thought to signal protein aging and damage, our findings suggest a mechanism for selective internalization of high priority cargo proteins, with simultaneously exclusion and protection of functional proteins that lack poly-ubiquitylation.

cell biology↗

Transmembrane coupling accelerates the growth of liquid-like protein condensates

Timely and precise assembly of protein complexes on membrane surfaces is essential to the physiology of living cells. Recently, protein phase separation has been observed at cellular membranes, suggesting it may play a role in the assembly of protein complexes. Inspired by these findings, we observed that protein condensates on one side of a planar suspended membrane spontaneously colocalized with those on the opposite side. How might this phenomenon contribute to the assembly of stable transmembrane complexes? To address this question, we examined the diffusion and growth of protein condensates on both sides of membranes. Our results reveal that transmembrane coupling of protein condensates on opposite sides of the membrane slows down condensate diffusion while accelerating condensate growth. How can the rate of condensate growth increase simultaneously with a decrease in the rate of condensate diffusion? We provide insights into these seemingly contradictory observations by distinguishing between diffusion-limited and coupling-driven growth processes. While transmembrane coupling slows down diffusion, it also locally concentrates condensates within a confined area. This confinement increases the probability of condensate coalescence and thereby enhances the overall rate of growth for coupled condensates, substantially surpassing the growth rate for uncoupled condensates. These findings suggest that transmembrane coupling could play a role in the assembly of diverse membrane-bound structures by promoting the localization and growth of protein complexes on both membrane surfaces. This phenomenon could help to explain the efficient assembly of transmembrane structures in diverse cellular contexts. SignificanceProtein assemblies that span biological membranes are critical to cellular physiology. In the past decade, liquid-like protein condensates, which are flexible, multivalent protein assemblies, have been discovered on diverse membrane surfaces. Recently, we observed that protein condensates on opposite sides of a membrane spontaneously colocalize to form coupled, transmembrane complexes. Interestingly, while transmembrane coupling slows down the diffusion of membrane-bound condensates, it substantially accelerates their growth by strongly localizing interactions between them. These findings suggest that transmembrane coupling of protein condensates may play a role in promoting the robust assembly of membrane-bound protein complexes in crowded, complex cellular environments.

biophysics↗

A comprehensive foundation model for cryo-EM image processing

Cryogenic electron microscopy (cryo-EM) has become a premier technique for high-resolution structural determination of biological macromolecules1-4. However, its widespread adoption is hampered by the need for specialized expertise. We introduce the Cryo-EM Image Evaluation Foundation (Cryo-IEF) model, pre-trained on an extensive dataset of approximately 65 million cryo-EM particle images using unsupervised learning. Cryo-IEF excels in various cryo-EM data processing tasks, such as classifying particles from different structures, clustering particles by pose, and assessing the quality of particle images. Upon fine-tuning, the model effectively ranks particle images by quality at high efficiency, enabling the creation of CryoWizard--a fully automated single-particle cryo-EM data processing pipeline. This pipeline has successfully resolved high-resolution structures of diverse properties and proven adept at mitigating the prevalent preferred orientation challenge in many cryo-EM samples. The Cryo-IEF model and CryoWizard pipeline collectively represent a significant advancement in rendering cryo-EM technology more accessible, efficient, and robust, with substantial implications for life sciences research.

bioinformatics↗

Selection, Design and Immunogenicity Studies of ASFV Antigens for Subunit mRNA Cocktail Vaccines with Specific Immune Response Profiles

Development of safe and effective subunit vaccines for controlling African Swine Fever Virus (ASFV) infection has been hampered by a lack of protective viral antigens, complex virion structures, and multiple mechanisms of infection. Here, we selected ASFV antigens based on their localization on the virion, known functions, and homologies to the subunits of the protective vaccinia virus vaccine. We also engineered viral capsid proteins for inducing optimal antibody responses and designed T cell-directed antigen for inducing broad and robust cellular immunity. The selected antigens in lipid nanoparticle-mRNA formulations were evaluated for immunogenicity in both mice and pigs with concordant results. Different antigens induced divergent immune response profiles, including the levels of IgG and T cell responses and effector functions of anti-sera. We further developed a computational approach to combine antigens into cocktails for inducing specific immune response profiles and validated candidate cocktail vaccines in mice. Our results provide a basis for further evaluating candidate subunit mRNA vaccines in challenge studies. TeaserNovel strategies to develop subunit vaccines for ASFV and other complex large DNA viruses.

immunology↗