Biology subjects

Xu, J.

Publications and source records attributed to Xu, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Temporal TOC1-CLV3-WUS cascade controls organogenesis and rhythmic stem development

Coordinated organogenesis and rhythmic stem development determine shoot morphogenesis, which governs distinct plant architecture and crop yield. The shoot apical meristem (SAM) drives organ initiation and stem growth, with its activity sustained by the spatially defined CLAVATA3 (CLV3)-WUSCHEL (WUS) feedback loop. However, how the temporal CLV3-WUS module modulates SAM activity remains elusive. Here, we demonstrate that both CLV3 and WUS are required for circadian stem elongation. The clock component TIMING OF CAB EXPRESSION1 (TOC1) directly activates and sustains the circadian expression of CLV3, and this regulatory process is controlled by the APETALA1-CIRCADIAN CLOCK-ASSOCIATED1 module. Notably, the rhythmic expression pattern of CLV3, rather than its transcript abundance, plays a more important role in regulating WUS expression and sustaining SAM activity, and CLV3 confers circadian rhythmicity to WUS protein accumulation. Transcriptome and ChIP seq analyses reveal that WUS modulates multiple developmental programs, including meristem homeostasis, phytohormone responses, and cell wall remodeling. Mechanistically, WUS directly activates PECTIN METHYLESTERASE5 expression to promote stem elongation. Collectively, our findings uncover a spatiotemporal regulatory cascade that fine-tunes SAM activity to coordinate rhythmic organogenesis and stem development, thereby establishing optimal phyllotactic patterning in plants.

plant biology↗

bioRxiv2026

MIRCID: Inferred Hub-miRNAs Drive Cross-Task Improvements in Drug Mechanistic Modeling

Drug mechanism-of-action (MoA) modeling commonly relies on perturbational transcriptomes, but matched microRNA (miRNA) measurements are often unavailable. Inferred regulatory features offer a scalable way to reuse these data. Here, we present MIRCID, a framework comparing gene expression with inferred transcription factor (TF) activity and miRNA expression across pathway classification and similarity-based MoA retrieval. HubmiRNet infers 414 pan-cancer hub miRNAs (HubmiRs) from 977 L1000 landmark genes, achieving a Pearson correlation coefficient of 87.72\%; its 1,298-output variant also outperformed SiCmiR on the full-miRNA task (71.21\% versus 67.30\%). In the evaluated comparisons, miRNA augmentation provided more consistent gains than TF activity. Generic embedding controls showed model-dependent utility, while complementarity analyses identified a distinct, partially linearly recoverable representation that retained gene-derived structure. Illustrative rescue cases linked improved classification to biologically plausible miRNA patterns in samples with weak transcriptional signatures. These findings support inferred HubmiRs as a biologically informed recoding of transcriptomic data for perturbational drug modeling, while leaving recovery of measured perturbational miRNA responses to further validation.

bioinformatics↗

bioRxiv2026

Evaluations of retrospective frequency and phase correction methods for single-voxel MR spectroscopy at 7T

Subject motion and gradient heating-induced frequency and phase offsets result in spectral misalignment during single-voxel MR spectroscopy (SVS) acquisitions. Several methods have been presented to align the spectra, but their performance on a 7T system is unclear. This study aimed to evaluate the practical importance of four retrospective correction methods, namely creatine fitting, residual water, spectral registration, and cross-correlation. SVS data were collected from 127 participants (88/39 female/male, 39{+/-}15 years) using a semi-localization by adiabatic selective refocusing sequence at 7T. Changes in the spectral linewidth, signal-to-noise ratio (SNR), similarity (mean similarity matrix (SImean)), and metabolite quantification (concentration, relative Cramer-Rao lower bounds (rCRLB)) after correction were evaluated. A Wilcoxon signed rank test was used to evaluate these changes. The p-values were adjusted using the false discovery rate (q<0.05) for multiple comparisons. For significant changes, the effect size was further calculated using the Rosenthal formula. The results demonstrated that all correction methods resulted in a significant decrease in the spectral linewidth and significant increases in the spectral SNR and SImean. The mean changes by using the four methods were 0.76-0.99 Hz for the spectral linewidth change (effect sizes:0.73-0.86), 5.79-6.95 for the SNR change (effect size:0.60-0.72), and 0.03-0.03 for the SImean change (effect size:0.87-0.87). The correction also significantly increased the estimates of the metabolite concentrations of PCr, Gln, Glu, GPC, Ins, NAA, Scyllo, and Tau (effect size:0.25-0.57), and significantly decreased the rCRLBs (effect size:0.26-0.42) of Scyllo, Tau, and Gly. These results indicate that each method provides practical benefits in improving the spectral linewidth, SNR, and similarity by showing a strong to very strong effect of the improvements (effect size>0.60). The correction only showed a weak to moderate effect of the changes in the metabolite quantification (effect size<0.60), suggesting that whether the correction results in more reliable metabolite quantification requires further validation.

bioengineering↗

bioRxiv2026

Rac1 and CHK1 Converge on Abi-1 to Regulate DNA Repair Dependency and Treatment Response in Human Cancers

Radiation therapy (RT) resistance remains a major clinical challenge, yet biomarkers guiding precision radiosensitization are lacking. We previously demonstrated that Rac1 promotes RT resistance in glioblastoma (GBM) by inducing Abi-1-S323 dephosphorylation and enhancing non-homologous end joining (NHEJ). Here, we identify Abi-1-S323 as a key regulator of DNA repair states and a determinant of therapeutic efficacy in human cancers. Clinically, loss of Abi-1-S323 phosphorylation was associated with poor outcomes in patients with RT-treated GBM. Bioinformatic analyses revealed that non-small cell lung cancer (NSCLC) and head and neck cancer (HNC) are among the cancers with frequent RAC1 amplification, suggesting that these tumor types may have increased Rac1-Abi-1 signaling activity. Loss of Abi-1-S323 phosphorylation also predicted poor outcomes in patients with RT-treated HNC. Consistent with these clinical observations, high Rac1 activity and low Abi-1-S323 phosphorylation were associated with enhanced DNA double-strand break repair and radioresistance in NSCLC and HNC models, whereas genetic or pharmacological inhibition of this signaling impaired DNA repair and radiosensitized tumors in vitro and in vivo. Mechanistically, we identified CHK1 as a kinase that phosphorylates Abi-1 at S323 and defines an alternative homologous recombination (HR)-dependent repair state. Tumors with high Rac1-Abi-1 signaling exhibited elevated NHEJ capacity and were selectively radiosensitized by Rac1 inhibition, whereas tumors with low Rac1-Abi-1 signaling displayed high CHK1 activity, preferentially relied on HR, and were selectively radiosensitized by CHK1 inhibition. These findings establish Abi-1-S323 as a biomarker defining therapeutically distinct DNA repair states and provide a framework for precision radiosensitization.

cancer biology↗

bioRxiv2026

Distinct RNA-RNA spatial interaction sub-networks of transcription factors in hepatic cells

We applied the latest RIC-seq technology to study the RNA-RNA interactions in human liver HepG2 cells. Integrating ChIP-seq data with the RIC-seq data, we clas-sified vari ous transcription factors (TFs) into two distinct clusters based on the in-teraction enrichment scores of the uaRNA (RNA transcribed in promoter regions) and eRNA (RNA tran scribed in enhancer regions) potentially transcribed by the TF binding sites. We went on to compare the genomic features and clinical significance across different clusters, by further integrating Hi-C, ATAC-seq, and clinical data from liver cancer patients. Our results showed that Cluster 1 exhibited low spatial interaction (RIC-seq derived RNA-RNA interactions between regulatory RNA ele-ments) and high tissue specificity (high proportion of binding sites covered by shared peaks between two different cell lines for each histone modification marker), showed higher associations with the B compartments and nucleoli, contained less densely clustered TF binding sites, and is more correlated with clinical outcomes. In contrast, Cluster 2 has higher spatial interaction, is more likely to be found in the A compartments and nuclear speckles, contained more densely clustered TF binding sites, and is more prone to form loops. These findings suggested that these transcrip-tion factors might play critical roles in regulating gene expression and serve as po-tential biomarkers and therapeutic targets with significant implications for cancer prognosis and treatment. In summary, groups of TFs could occur as distinct sub-networks based on spatial proximity of non-coding RNAs transcribed by the TF binding sites. These sub-networks appear to be related to regulatory differences for the TF groups and may partially explain the chromosome compartments/domains.

genomics↗

bioRxiv2026

Iron as a principal mediator of dysbiosis prevention in the phyllosphere

Multicellular organisms require a correct microbiota composition for optimal health and fitness. Dysbiosis could lead to serious health consequences in humans and plants, and is pervasive during pathogen infections across systems. A recent study shows that carbon source availability plays a role in bacterial community assembly in Arabidopsis leaves [1]. However, whether carbon sources or other molecules are critical for leaf microbiota homeostasis remains unknown. Here, an unbiased in planta metatranscriptomic analysis of endophytic microbiota in leaves of wild-type and dysbiotic min7 fls2 efr cerk1 (mfec) mutant, which is defective in pattern-recognition receptor (PRR) signaling and MIN7-dependent vesicle trafficking, revealed that bacteria inside Arabidopsis leaves exhibit taxa-specific transcriptional responses. Most notably, iron starvation response was detected in Stenotrophomonas strains, a group of endophytic bacteria that cause dysbiotic symptoms. Elevated expression of canonical iron starvation genes confirmed low iron availability in mfec plants. This low iron environment was associated with a reduced level of the plasma membrane H-ATPase AHA2, resulting in a higher apoplastic pH that favors less-bioavailable ferric iron over soluble ferrous iron. Supplementing iron in mfec plants was sufficient to restore microbiota homeostasis and alleviate dysbiosis phenotypes. The role of iron in dysbiosis extends to Pseudomonas syringae foliar infection, which drives leaf dysbiosis through two iron-dependent mechanisms. Iron thus emerges as a surprising, key switch between healthy and dysbiotic microbiota in the endophytic spaces of plants.

plant biology↗

bioRxiv2026

Glutamine-regulated VCP acetylation creates a proteostasis vulnerability in RB1-deficient tumor

RB1 deficiency defines an aggressive tumor state with limited therapeutic options. Osteosarcoma represents a clinically relevant model of RB1 deficient malignancy, as RB1 alterations are among the most frequent genomic events in this tumor type. However, the non cell cycle vulnerabilities created by RB1 loss remain incompletely understood. We therefore used osteosarcoma to identify therapeutic dependencies associated with RB1 deficiency. Through high-throughput compound screening, we identified a selective vulnerability of RB1-deficient tumor cells to VCP inhibition. NMS-873 and other VCP-targeting compounds preferentially suppressed RB1 deficient cells across two-dimensional cultures, three-dimensional spheroids, patient-derived organoids, and in vivo tumor models. Mechanistically, VCP inhibition exacerbated proteostasis stress and activated endoplasmic reticulum stress responses in RB1-deficient cells. We further found that VCP function was regulated by glutamine-dependent acetylation, with lysine 615 serving as a dominant acetylation site that modulated sensitivity to VCP inhibition. Glutamine restriction phenocopied, whereas glutamine supplementation partially rescued, the effects of NMS-873 on VCP acetylation and tumor cell growth. Clinical and transcriptomic analyses further linked VCP expression and protein-folding stress programs to aggressive disease features. Together, these findings identify glutamine regulated VCP acetylation as a metabolic proteostasis dependency in RB1-deficient tumors and nominate VCP inhibition as a therapeutic strategy for this difficult-to-target tumor state.

cell biology↗

bioRxiv2026

RamiGlyph Captures Microglial Morphological Diversity and Predicts Functional States in Ischemia Reperfusion and Amyloid Pathology

Microglia are resident immune cells of the central nervous system, whose ramified processes rapidly remodel in response to injury. However, how to capture subtle morphological changes and whether functional state can be predicted from morphology remain open questions. Here, we present RamiGlyph, a contrastive learning framework integrating topological and structural features, trained on more than 20,000 reconstructed microglia. RamiGlyph not only distinguishes physiological and pathological states of microglia but also generalizes to neuronal cell type classification. Projection of microglia morphological embeddings revealed a continuum rather than discrete classes, from which a morphology score was derived to quantify dynamic process remodeling. To link morphology with function, Gromov Wasserstein optimal transport was used to align unpaired morphological and functional data across stages of ischemia reperfusion injury and amyloid pathology. These alignment results enable prediction of microglial functional states using RamiGlyph embeddings alone, with prediction reliability increasing upon cell aggregation. In summary, RamiGlyph provides a robust framework for resolving continuous microglial morphological variation and linking morphology to functional states across acute and chronic neuropathological contexts.

bioinformatics↗

bioRxiv2026

Influence of flowering phenology and strobili amount on mating patterns in an Abies nordmanniana clonal seed orchard

Clonal seed orchards (CSOs) provide improved plant material from forest tree breeding. Mating dynamics of CSOs is therefore interesting, since dysfunctions like selfing, pollen contamination and differences in clonal contributions of gametes may hamper the genetic gain. Skewed paternal contribution can be caused by clonal variation in amount of flowering/pollen production, and clonal differences in flowering phenology. Including trees from different populations in CSOs entails a particular risk that the parents are split into non-overlapping phenological classes with limited gene exchange, so the seed crop will consist of different gene pools. The study objective was to study the influence of flowering amount and flowering phenology on the mating patterns in an Abies nordmanniana CSO combining classic ocular observations of strobili with paternity analysis using DNA markers. Furthermore, we tested whether the two different gene pools from which the trees originated, had limited gene exchange. Phenology observations over three years showed that female strobili in A. nordmanniana often are receptive before the male strobili release pollen (5-7 days). However, despite clonal variation in first pollen release there is a ''great dusting day'', where all clones are contributing pollen. Based on DNA-markers, pollination success among 93 clones varied from 0 to over 5%. Clone variation in male strobili amount explained 29% of the variation in pollination success, while early pollen shedding could explain 13%. Our results support the hypothesis of early pollen shedding having an advantage in pollination success and late pollen shedding a disadvantage. No substantial mating barriers between trees from the two gene pools which are included in the CSO could be observed.

plant biology↗

bioRxiv2026

Restoring the Chondron: Pericellular Matrix Reconstitution Enhances Mechano-Inflammatory Resilience and Modulates Chondrocyte-Neuron Crosstalk

Abstract Chondrocytes in native articular cartilage are enclosed within a collagen VI (COL VI)-rich pericellular matrix (PCM), forming functional units known as chondrons. However, enzymatic isolation disrupts the PCM, and the functional consequences of its loss and restoration remain poorly understood. In this study, primary human chondrocytes were cultured in alginate beads to promote PCM reconstitution and subsequently recovered as reconstituted chondrons. Chondrocytes and reconstituted chondrons were encapsulated in gelatin methacryloyl hydrogels and compared under inflammatory and mechanical stimulation. Alginate preconditioning generated chondron-like units with a distinct COL VI-positive PCM that was retained after transfer to three-dimensional culture. Under inflammatory conditions, reconstituted chondrons exhibited reduced inflammatory, catabolic, neuroinflammatory, and angiogenic responses compared with isolated chondrocytes at both gene and protein levels. Under interleukin-1{beta} stimulation, mechanical loading further increased inflammatory gene expression in chondrocytes in a donor-dependent manner, whereas responses remained comparatively limited in reconstituted chondrons. Conditioned medium from reconstituted chondrons was also associated with lower capsaicin- and potassium chloride-evoked calcium responses in human induced pluripotent stem cell-derived sensory neurons than corresponding chondrocyte-conditioned medium. These findings demonstrate that reconstitution of a COL VI-rich PCM restores a chondron-like pericellular microenvironment that attenuates inflammatory activation and buffers load-associated inflammatory amplification, while exploratory sensory neuron experiments suggest downstream modulation of neuronal responsiveness. PCM restoration may therefore provide a promising strategy for cartilage tissue engineering and regenerative applications.

molecular biology↗

bioRxiv2026

Active control modulates memory-related activity during encoding and encoding-retrieval similarity

Self-directed learning allows learners to actively control their learning experience and has been shown to enhance memory compared with matched yoked learning. However, it remains unclear when and how active control modulates memory-related neural activity during learning and retrieval. We recorded electroencephalography (EEG) while participants encoded objects under active and yoked learning conditions and again during a delayed recognition test approximately 24 h later. We examined event-related potential (ERP) activity across earlier processing windows, including pre-stimulus slow potentials and early N2 activity, and later processing windows, including P300, late slow-wave, and post-stimulus slow-potential activity. We also examined encoding-retrieval similarity (ERS) between neural patterns during encoding and retrieval. Behaviorally, active control improved delayed recognition, with the advantage selectively expressed in detailed recognition. In the ERP analyses, earlier processing windows showed memory-related effects, with pre-stimulus slow-potential and N2 activity differentiating subsequently remembered from forgotten items, but were not modulated by active control. By contrast, active control modulated later memory-related ERP activity, with remembered-forgotten differences expressed during late stimulus-related and immediate post-stimulus processing only in the active condition. ERS showed a similar active-control modulation: memory-related encoding-retrieval pattern similarity was evident under active learning, but not under yoked learning, with this effect involving relatively late encoding and retrieval windows. Together, these findings support a constructive-processing account, suggesting that memory formation under active control depends more strongly on rich, detailed encoding representations that can be reinstated during retrieval.

neuroscience↗

bioRxiv2026

The common evolution of fungicide persistence in cryptococcosis patients

Fungicide persistence, the ability of dormant fungal cells to survive lethal drug exposure, undermines treatment efficacy, yet its clinical evolution remains largely unexplored. We assembled a nationwide collection of clinical Cryptococcus neoformans isolates from China and revealed extensive inter strain variation in amphotericin B (AmB) persistence. This variation can arise from common evolutionary events in patients, generating previously undescribed high persistence cryptococcal variants refractory to AmB clearance. Genome wide fitness landscape analysis shows that persistence associated mutations generally impose minimal fitness costs, facilitating persistence evolution even in fungistatic resistant and hypervirulent genetic backgrounds. Machine learning identified deficient ACO2 expression as a key predictor of high persistence clinical isolates. ACO2 deficiency reproduces the high persistence phenotype by promoting POPC accumulation, which competes with AmB for its target. Moreover, the clinical stage antifungal T-2307 effectively eliminates high persistence strains across diverse genetic backgrounds. Collectively, our findings unveil common evolution of fungicide persistence in cryptococcosis patients, representing a previously overlooked clinical concern.

microbiology↗

bioRxiv2026

In Vivo Screening for a Promising Antiparasitic Agent Against Neobenedenia melleni in Epinephelus fuscoguttatusfemale x E. lanceolatusmale and Identification of Its Potential Target

Monogenean ectoparasites, particularly Neobenedenia species, cause severe economic losses in mariculture. Here, ectoparasites isolated from cultured hybrid groupers (Epinephelus fuscoguttatus[female] x E. lanceolatus[male]) were confirmed as Neobenedenia melleni based on ITS1 phylogeny. In vivo screening of six structurally diverse compounds identified compound D (CAS No. 206111-37-7), a 5,6-dihydropyridine derivative, as the most effective antiparasitic agent, achieving 76.54% efficacy at 0.5 mg/L in a 90 min bath treatment. Dose-response assays demonstrated that 0.7 mg/L compound D achieved 95.23% antiparasitic efficacy without causing evident tissue damage or cytotoxicity to GF-1 cells. Ultrastructural observation by scanning electron microscopy revealed marked tegumental alterations, including deep fissures and extensive surface folding, in treated parasites. Molecular docking against ten candidate proteins identified {beta}-tubulin as the most favorable docking target, with a binding energy of -6.53 kcal/mol and three hydrogen-bond interactions, suggesting that {beta}-tubulin may be involved in the antiparasitic activity of compound D. Overall, these findings highlight compound D as a promising lead candidate for short-bath therapy against N. melleni and suggest that cytoskeletal disruption through {beta}-tubulin interaction represents a plausible mechanism of action.

zoology↗

bioRxiv2026

Multimodal spatial-omics reveal the heterogeneity and intercellular network characteristics of papillary craniopharyngiomas.

Despite significant advancements in microsurgical techniques in recent years, the treatment and prognosis of craniopharyngiomas remain unsatisfactory. As a central nervous system tumor located adjacent to important brain structures such as the hypothalamus-pituitary axis and accompanied by a highly inflammatory microenvironment, the tumor heterogeneity and tumor microenvironment characteristics of papillary craniopharyngiomas (PCPs) remain unclear. In this study, we integrated multimodal single-cell and spatial profiling from PCP tissue and peripheral blood mononuclear cells (PBMCs) to elucidate the tumor heterogeneity and microenvironment characteristics of PCP. Our single-cell and spatial analyses defined four specific tumor cell states in PCP, representing specific transcriptional regulatory programs and spatial heterogeneity characteristics during tumor progression. By constructing a spatial niche composed of tumor, immune, and stromal cells, we analyzed the cellular and spatial ecosystem of PCP at multiple levels to further assess the communication relationships between different tumor cell states and microenvironment cells. This study established a multidimensional molecular atlas of PCP from the perspectives of cell state, spatial structure, and microenvironment interactions, providing a foundation for understanding its biological behavior and exploring new intervention strategies.

cancer biology↗

bioRxiv2026

Unbiased and Epicardial-Specific Lineage Tracing Reveal Epicardial Contribution to Vascular Endothelial Cells in Heart Development

Controversy surrounds the lineage potential of cardiac cells, particularly epicardial cells, during heart development, largely due to the non-specific expression of epicardial marker genes and the resulting non-specific labeling in Cre-loxP mouse models. Using DARLIN mice, a CRISPR/Cas9-based lineage-tracing system independent of the Cre-loxP system, we analyzed the lineage development of embryonic cardiac cells in an unbiased manner and identified lineages shared among different cell types, such as epicardial cells and vascular endothelial cells (Vas_ECs). To further confirm the lineage potential of epicardial cells, we identified an epicardial cell-specific marker gene, Lrrn4, through analysis of a multi-staged single-cell mRNA-sequencing (scRNA-seq) dataset, and generated a corresponding Lrrn4-CreER mouse line. We then bred this line with a reporter mouse to confirm its specificity for labeling epicardial cells, and subsequently performed prolonged lineage tracing, which revealed specification of the labeled epicardial cells into Vas_ECs. Finally, Using this mouse line, we investigated epicardial cell function by selectively ablating these cells and by expressing TGF{beta} in epicardial cells to convert their lineage from Vas_ECs to fibroblasts. Both approaches resulted in significant developmental defects in embryonic hearts. Together, these results indicate that epicardial cells can give rise to Vas_ECs, and that the Lrrn4-CreER mouse model is a valuable tool for elucidating the role of the epicardium in heart development.

developmental biology↗

bioRxiv2026

D-Mannose treats obesity by increasing adipose Treg cells and suppressing gut Firmicutes

Early-life microbiota represent an indispensable factor for the proper development and function of host metabolism and the immune system. We have demonstrated that neonatal exposure to antibiotics for the first 3 weeks (NeoATB) leads to obesity in adulthood, characterized by gut microbiota dysbiosis and dysregulated immune responses. Here, we demonstrate that feeding D-mannose suppresses NeoATB-induced obesity, accompanied by improved glucose tolerance and decreased insulin resistance. Mechanistically, D-mannose feeding decreased hypoxia and increased oxygenation and recovery of metabolic activity of adipocytes. D-mannose restored CD4+Foxp3+ST2+ Tregs, leading to a reduction of Th1 pro-inflammatory cells in the adipose tissue of NeoATB mice. Significantly, we revealed that D-mannose treatment reversed the dysregulated ratios of phylum Firmicutes to phylum Bacteroidetes in obese NeoATB mice, which was surprisingly attributed to D-mannose-mediated suppression of the growth of Firmicutes rather than an increase in the growth of Bacteroidetes. These findings should have therapeutic implications for the treatment of obesity in human patients.

immunology↗

bioRxiv2026

Reversible m6Am methylation of snRNA by FTO controls morphine reward and tolerance without altering analgesia

Mu opioids, such as morphine, are effective analgesics, but their reward and tolerance drive opioid use disorder. A major goal is to achieve analgesia without these harmful effects. Here we show that morphine reward and tolerance require the RNA demethylase FTO. Genetic depletion and pharmacologic inhibition of FTO each reduced morphine reward, measured by conditioned-place preference, and reduced antinociceptive tolerance to morphine and fentanyl, without altering analgesia. Although FTO is known to erase m6A on mRNA, we found no effect of FTO depletion on m6A sites, but markedly increased levels of m6Am on snRNA. The effects of FTO depletion were suppressed in mice that cannot make m6Am, supporting the role of m6Am in morphine reward and tolerance. We show that FTO depletion regulates a gene expression network linked to morphine signaling. FTO inhibitors may therefore provide useful adjuvants to mu opioids in pain management and treatment of opioid use disorder.

neuroscience↗

bioRxiv2026

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drift, necessitating precise antigenic prediction for optimal vaccine strain selection. While sequence-based methods have advanced antigenic surveillance, they neglect the three-dimensional structural context that fundamentally dictates viral antigenicity. Here, we introduce Vir3D, which leverages ESMFold-derived structural information from amino acid sequences to precisely predict viral antigenicity and guide vaccine strain selection. Across both human H3 and highly pathogenic avian H5 subtypes, Vir3D not only accurately discriminates antigenic variants and infers pairwise antigenic distances, but also mechanistically delineates key structural residues driving viral immune evasion. In a decade-long retrospective analysis, Vir3D-prioritized vaccines consistently achieve broader antigenic coverage of circulating strains than World Health Organization (WHO) recommendations. Crucially, Vir3D successfully predicts that the emerging U.S. dairy cattle H5N1 virus (TX/24) remains antigenically stable relative to clade 2.3.4.4b vaccine strains, and subsequent wet-laboratory validation of hemagglutination inhibition (HI) assays definitively corroborates this finding. Overall, Vir3D establishes a powerful, structure-driven framework for proactive influenza surveillance and pandemic preparedness.

bioinformatics↗