Biology subjects

Sato, K.

Publications and source records attributed to Sato, K..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

RNArefine: AI-guided Atomic-Level Refinement of RNA Structures

Considerable progress has been made in AI-driven RNA structure prediction, but the resulting models often lack complete atomic details or suffer from severe stereochemical distortions and incorrect local interactions. We present RNArefine, an AI-guided hierarchical framework for atomic-level RNA structure refinement. RNArefine first predicts base-pairing and base-stacking interactions using geometric attention networks and then integrates the interactions with physics-based force fields to guide a two-step refinement strategy consisting of Monte Carlo conformational sampling followed by L-BFGS energy optimization. Large-scale benchmark experiments on both sequence-based prediction models and cryo-EM-derived structures demonstrated that RNArefine consistently improves stereochemical quality, interaction fidelity and physically penalized structural accuracy while preserving global topology. When applied to blind CASP16 RNA prediction models, RNArefine improved ranking scores for 28 of the top 30 groups. These results establish RNArefine as a robust open-source framework for transforming raw RNA folds into physically realistic atomic models for downstream structural and therapeutic applications.

bioengineering↗

bioRxiv2026

The Gompertz curve for estimating growth rates of Protein Data Bank and protein folds

The Protein Data Bank (PDB) is an ever-growing, open-access repository of structural data of biological molecules. This international database has been instrumental in the development of artificial intelligence and deep learning models for protein structure prediction and design. The PDB growth is a crucially important factor influencing further development of these models. Therefore, after analyzing the growth trend in PDB depositions since the archives launch, we found that it is well fitted by the Gompertz function, a growth curve used across various disciplines. Furthermore, we observed that the function captures the "discovery of novel folds", i.e., the cumulative number of distinct folds among protein domains that constitute most of the PDB. Consequently, based on the fitting results, we estimated the likely numbers of PDB entries and protein folds. These findings provide insights into deceleration of growth in recent years and enable us to assess anticipated trends.

bioinformatics↗

bioRxiv2026

Mechanical analysis of spatiotemporal traction stress dynamics in a bleb-driven migrating cell, Amoeba proteus

Many adherent eukaryotic cells exhibit amoeboid locomotion, where traction stress exerted on the substrate is essential for movement. In this study, we investigated the spatiotemporal development of these forces in Amoeba proteus to clarify the mechanical dynamics underlying bleb-driven migration. By performing a multipole analysis of the stress distribution, we characterized the spatiotemporal patterns exhibited by motile cells. Furthermore, we tracked the behavior of individual localized peak structures within these profiles, which are thought to correspond to focal contact sites. These analyses revealed that the front-back asymmetry in the traction distribution correlates with the direction of migration. We also found that A. proteus exhibits a periodic pattern in which inward-directed stresses are alternately strengthened and weakened at the cell poles. Crucially, we identified a distinctive feature not observed in other cell types: the generation of large lateral traction forces at the cell center. Together, these results highlight both the universality and diversity of the biophysical mechanisms driving amoeboid locomotion.

biophysics↗

bioRxiv2026

Active and unusually expanded PIF/Harbinger transposable elements in the Caenorhabditis inopinata genome

BackgroundTransposable elements (TEs) serve as powerful drivers of genome innovation but also threaten genome integrity. The PIF/Harbinger superfamily is distinctive among DNA transposons because mobilisation typically requires proteins, a DDE transposase and a MADF DNA-binding protein. Caenorhabditis inopinata, the closest known relative of C. elegans, has a TE-rich genome and lacks multiple components of the ERGO-1-class endogenous small-RNA pathway, making it a useful system for examining TE dynamics in a distinct host context. We identified a spontaneous dumpy mutant of C. inopinata caused by insertion of a PIF/Harbinger-family element into the coding region of Cin-dpy-11. The inserted element, designated Harbinger-1M_cIno, belongs to the Turmoil2 lineage originally defined in C. elegans and retains a MADF domain but lacks a recognisable DDE transposase ORF. Genome-wide curation recovered 258 related copies, revealing a strongly asymmetric family structure. Short noncoding derivatives were predominant, MADF-bearing derivatives were expanded and only one DDE-bearing locus retained an apparently intact transposase gene, suggesting that DDE and MADF functions are partitioned across distinct elements and may be supplied in trans during mobilisation. We also identified a second PIF/Harbinger-derived family, Harbinger-2M_cIno, associated with the Turmoil1 lineage. This family comprises 1,376 copies and therefore records substantial past amplification, but it lacks a detectable DDE source, shows greater sequence divergence and more degraded terminal structures than Harbinger-1M_cIno. Together, these data indicate that the two PIF/Harbinger lineages in C. inopinata differ not in whether amplification occurred, but in when it occurred and whether present-day mobilisation competence has been retained.

genetics↗

bioRxiv2026

Evaluation of fluorescent proteins for compatibility with STED microscopy systems using two-color spectroscopies

Stimulated emission depletion (STED) microscopy is a super-resolution fluorescence imaging technique that achieves high spatial and temporal resolution by exploiting stimulated emission to induce fluorescence depletion (FD) and is expected to have substantial utility for imaging applications using fluorescent proteins. However, the compatibility of fluorescent proteins with STED microscopy systems has been understood primarily through empirical observations, and there is no established methodology for the rational selection of fluorescent proteins for STED microscopy. In this study, we systematically evaluated the compatibility of commonly used fluorescent proteins with STED microscopy systems by measuring FD properties using transient absorption spectroscopy and fluorescence dip spectroscopy, both of which are classified as two-color spectroscopy (TCS). Fluorescent proteins identified as compatible with the STED microscopy system based on the TCS measurements were employed for three-dimensional STED imaging of cellular samples expressing each protein. In all samples, three-dimensional spatial resolution was improved relative to confocal laser microscopy, with particularly marked improvements in z-axis resolution. These findings demonstrate that measurements of FD properties via TCS provide a robust approach for evaluating the compatibility of fluorescent proteins with the STED microscopy system and for selecting suitable fluorescent proteins for STED imaging.

biophysics↗

bioRxiv2026

HLA-B51 induces IFN-γproduction in human natural killer cells

Behcets disease (BD) is a systemic inflammatory disease. It is considered as an autoinflammatory disease triggered by innate immunity rather than adaptive immunity. Human leukocyte antigen-B51 (HLA-B51) is the strongest genetic factor associated with BD. This study investigated how HLA class 1 molecules interact with innate immune cells and induce cytokine secretion. For this purpose, 293T cells transfected with a plasmid encoding HLA-B51 were cultured with natural killer (NK) cells obtained from healthy human donors. Within 24 h, the concentrations of interleukin-4 (IL-4), IL-8, and interferon-{gamma} (IFN-{gamma}) in the medium increased, indicating that NK cells secreted cytokines without undergoing cellular expansion for cytolysis. NK cells stimulated by nonself HLA-B51 produced IFN-{gamma} levels comparable to those produced by NK cells stimulated by self HLA-B51. NK cells carrying HLA-B51 were accurately recognized by overexpressing HLA-B51 on 293T cells. Moreover, ample intracellular IFN-{gamma} levels were detected in NK cells after stimulation with phorbol 12-myristate-13-acetate (PMA) plus ionomycin. KLRK1 (CD314)-positive cells mainly primarily accounted for IFN-{gamma}-producing cells, whereas KLRK1-negative cells did not. In contrast, both NCR1 (CD335)-positive and -negative cells contributed to IFN-{gamma} production. We next investigated whether HLA-B51 on the surface of 293T cells stimulates KLRK1 as a ligand causing IFN-{gamma} secretion. In masking experiments using anti-KLRK1 antibodies, NK cells with high levels of cell surface KLRK1 decreased the production of IFN-{gamma}. Conversely, human NK cell line KHYG1 cells also produced IFN-{gamma} in culture with 293T cells, but did not increase IFN-{gamma} through HLA-B51 stimulation. The mRNA expression of the signal adaptor protein HCST (DAP10) in KHYG1 cells was lower than that in NK cells, whereas the relative expression of IL-2RA in KHYG1 cells was higher than that in NK cells. These findings suggest that HLA-B51 can interact with KLRK1 on the NK cells inducing IFN-{gamma} secretion, whereas IL-2 signals outweigh HLA-51 stimulation in KHYG1 cells.

immunology↗

bioRxiv2026

Novel African Rhinolophus bat ACE2 sequences reveal the determinants of Afro-Eurasian sarbecovirus entry

Sarbecoviruses, including SARS-CoV and SARS-CoV-2, are frequently linked to Rhinolophus bats as their putative natural reservoirs. Angiotensin-converting enzyme 2 (ACE2), a host carboxypeptidase widely expressed in mammalian tissues, plays a critical role in sarbecovirus infection by serving as the cellular receptor for the viral spike (S) protein. Given recent human outbreaks and pandemics caused by members of sarbecoviruses, and the wide distribution of Rhinolophus bats, it is essential to maintain surveillance of these viruses while improving our understanding of their interactions with bat hosts, particularly the ACE2 receptor. However, while Rhinolophus bats from Asia have been relatively well studied, African Rhinolophus bats remain underrepresented and require further investigation. In this study, five Rhinolophus bat lung samples were obtained from Zambia, and ACE2 genes from these individuals were cloned and sequenced. We further evaluated the susceptibility of ACE2 variants to a panel of sarbecoviruses, revealing key residues that influence viral infectivity. ACE2 polymorphism was observed among Rhinolophus simulator individuals, revealing multiple ACE2 genotypes within the sampled population. However, R. simulator ACE2s did not permit infection by the clade 3 Afro-Eurasian sarbecoviruses tested in this study. Notably, RhGB01 and BM48-31 virus utilized only Rhinolophus blasii ACE2. Mutational analyses further suggested that ACE2 residues 31 and 41 play important roles in modulating spike-ACE2 interactions. This study reports 4 unique ACE2 sequences of R. simulator and R. blasii, and provides new insights into the molecular interactions between African Rhinolophus species ACE2s and the S protein of sarbecoviruses circulating in Africa and Europe. ImportanceAs putative natural reservoirs of sarbecoviruses, including SARS-CoV and SARS-CoV-2, Rhinolophus bats play a critical role in the emergence of zoonotic coronaviruses, making it essential to understand their interactions with these viruses for future pandemic preparedness. While Asian Rhinolophus bats have been relatively well studied, African species remain underrepresented, highlighting the need for further investigation. In this study, we cloned and sequenced ACE2 genes of five Rhinolophus bats collected in Zambia, Africa. We identified ACE2 polymorphism among Rhinolophus simulator individuals, although this variation was not associated with susceptibility to the clade 3 Afro-Eurasian sarbecoviruses examined. In addition, we identified key ACE2 residues that govern SARS-CoV-2 spike-ACE2 interactions and contribute to distinct infectivity patterns across species. These findings expand our understanding of the molecular determinants of sarbecovirus host range and support improved surveillance and risk assessment of emerging coronaviruses.

microbiology↗

bioRxiv2026

The COX2-PGE2-PKA Axis Suppresses Antiviral Immunity by Inhibiting mtDNA-Dependent STING Activation.

The innate immune cGAS-STING pathway is activated by cytosolic double-stranded DNA (dsDNA) to induce type I interferon (IFN) response, which is essential for mounting the antiviral response. However, STING activation during viral infection is often insufficient to achieve complete viral clearance, suggesting the existence of additional mechanisms that evade its activity. Here, we identified COX2/PGE2 as a negative regulator of STING activation, particularly in response to arising cytosolic mitochondrial DNA (mtDNA) generated during HSV-1 infection. Mechanistically, PGE2, through the EP4-cAMP-PKA axis, induces mitophagy to remove defective mitochondria and hence prevent the accumulation of immunostimulatory cytosolic mtDNA, thereby dampening STING-mediated type I IFN and antiviral response. Furthermore, we identified STOML2 as a downstream target of PKA that connects mitochondrial quality control with the regulation of innate immune signaling. Together, our findings establish the COX2/PGE2/PKA axis as a negative regulator of mtDNA-STING signaling that may be targeted to potentiate STING-mediated type I IFN and innate immunity. O_FIG O_LINKSMALLFIG WIDTH=166 HEIGHT=200 SRC="FIGDIR/small/716411v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1c39d56org.highwire.dtl.DTLVardef@18e7c0eorg.highwire.dtl.DTLVardef@172b353org.highwire.dtl.DTLVardef@15b215a_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG

cell biology↗

bioRxiv2026

An evolutionary landscape of sesame: chromosomal variation, allopolyploid speciation and metabolic specialization.

Sesame (Sesamum indicum) is one of the earliest domesticated oilseed crops and is valued for antioxidant lignans that stabilize oil quality. However, the genomic and evolutionary history of the genus Sesamum, including the origin of its allotetraploid relative S. radiatum and the diversification of lignan metabolism, remains poorly understood owing to limited chromosome-scale genomic resources. Here we present chromosome-level genome assemblies for three wild Sesamum species, two Ceratotheca species and a Japanese sesame cultivar to reconstruct genome and karyotype evolution across the Sesamum-Ceratotheca complex. Comparative analyses show that the derived x=16 lineage originated from an ancestral x=13 karyotype through chromosome fission, fusion and translocation, whereas another x=13 lineage underwent extensive restructuring associated with retrotransposon expansion. Phylogenomics places Ceratotheca within the x=16 Sesamum clade and reveals that S. radiatum originated through hybridization involving a C. sesamoides-like ancestor. The antioxidative lignan gene CYP92B14 was reintroduced via the BB progenitor, linking hybridization with restoration of oil-stabilizing metabolism during sesame evolution.

genomics↗

bioRxiv2026

Experimental SARS-CoV-2 infection using horseshoe bats

Horseshoe bats are known as the natural reservoir of sarbecoviruses. To understand how horseshoe bats coexist with sarbecoviruses in nature, experimental infection can provide direct evidence. However, in vivo infection studies using horseshoe bats have been lacking because of the difficulty of maintaining insectivorous bats in a laboratory setting. Here, we established a stable husbandry system for greater horseshoe bats (Rhinolophus ferrumequinum) and performed experimental infection with SARS-CoV-2. In contrast to Syrian hamsters which showed substantial viral replication, infected horseshoe bats exhibited low-level but persistent viral replication in the lung without overt disease. Histological analyses revealed that inflammatory lesions in the bat lungs were spatially restricted and temporally delayed compared with those in hamsters. Transcriptomic analyses further showed preferential activation of tissue repair pathways but limited inflammatory responses following infection. Notably, bats expressed several interferon-stimulated genes prior to infection. Our results suggest that a host strategy combining constitutive antiviral state, limited inflammation and enhanced tissue repair may result in controlled viral replication without overt disease, likely enabling horseshoe bats to coexist with sarbecoviruses.

microbiology↗

bioRxiv2026

Host innate immune response profiling reveals hidden viral infections across diverse animal species

Virus discovery using RNA-seq data from wildlife and livestock offers a powerful strategy for identifying unknown pathogens with pandemic potential. However, conventional approaches rely on homology-based searches that have limited sensitivity for highly divergent viruses, are computationally intensive at scale, and cannot distinguish true infections from contamination. Viral infection induces interferon-stimulated genes (ISGs), key components of the frontline antiviral defense, and their expression serves as a robust indicator of viral infection. Here, we developed a host-response-based virus discovery framework that rapidly quantifies ISG expression and predicts viral infection status. Applying this framework to [~]210,000 RNA-seq data sets from diverse mammalian and avian species, we identified hidden viral infections across diverse hosts, including those caused by highly divergent viruses missed by a conventional approach. Our framework complements existing virus discovery strategies by adding host innate immune response context and enabling computationally efficient prescreening for scalable viral surveillance. HighlightsO_LIHost response-based virus discovery in wildlife and livestock RNA-seq data C_LIO_LIQuantify interferon-stimulated gene (ISG) expression and predict viral infection C_LIO_LIAnalysis of [~]210,000 RNA-seq data sets reveals hidden viral infections C_LIO_LIDetects highly divergent viruses and scalable viral surveillance through rapid prescreening C_LI

microbiology↗

bioRxiv2025

Mast cell extracellular granules are bioactive condensates driven by heparin and polyamine

Biomolecular condensates are membraneless bodies that organize biochemical reactions typically within cells. However, the roles of condensates in extracellular space--where conditions differ substantially from intracellular space--remain poorly understood. Here, we report mast cell extracellular granules (MCEGs), a stable membraneless entity, are condensates assembled via electrostatic interactions between glycosaminoglycans and polyamines. Disrupting polyamine synthesis or trafficking blocks MCEG formation and compromises the storage of proteases and cytokines. Granules reconstituted with heparin and spermine are sufficient to enrich mediators such as CPA3 and TNF, maintaining an elevated pH and higher concentrations of calcium and zinc compared to the extracellular milieu. This unique environment enhances CPA3 enzymatic activity. Furthermore, the granules increase TNF binding and its bioactivity toward endothelial cells. Together, we reveal MCEGs as functionally active biomolecular condensates with distinct biochemical and immunological properties; MCEGs are formed through sugar-metabolite interactions, expanding the mechanisms of condensate assembly beyond classical protein-protein and protein-RNA interactions.

cell biology↗

bioRxiv2025

Modulation of translational elongation by montanine alkaloids preferentially inhibits RNA viruses

Montanine, an Amaryllidaceae alkaloid, has demonstrated superior antiviral activity against dengue virus (DENV), SARS-CoV-2, vesicular stomatitis Indiana virus (VSV-G), and vesicular stomatitis virus pseudotyped with Ebola virus glycoprotein (VSV-ZGP), outperforming other antiviral alkaloids tested, including lycorine, narciclasine, tetracetylnarciclasine, and pancracine. We further showed that montanine inhibits translation in mammalian cells, as evidenced by a puromycin incorporation assay. Cryo-EM analysis revealed that montanine binds to the peptidyl transferase center of the human ribosome. A chemical genomics survey indicated that the knockdown of the GCN1 complex, which senses ribosome collisions and triggers the translation quality control process, increased the cytotoxicity of montanine while reducing viral infectivity. Together, these results suggest that the antiviral activity of montanine is closely linked to its impact on translational elongation and GCN1-related stress responses, underscoring the potential of translation control as a targeted mode for RNA virus therapeutics. Significance StatementMontanine, an alkaloid from the Amaryllidaceae family known for its diverse bioactivities, was identified as a potent antiviral compound from a library of natural plant- and fungus-derived substances. Through a combination of biochemical assays and cryo-EM analysis, we discovered that montanine binds to the peptidyl transfer center of the human ribosome, effectively inhibiting protein synthesis. Based on these findings and a chemical genomics approach, we hypothesize that the translational control of montanine triggers a cellular response that impedes viral replication. We propose that molecules capable of modulating translation efficacy could serve as unique lead compounds in the development of broad-spectrum antiviral agents.

biochemistry↗

bioRxiv2025

Evolution of HMA-integrated tandem kinases accompanied by expansion of target pathogens

Tandem kinase proteins (TKPs) are an emerging family of plant intracellular immune receptors that offer potential for developing novel disease resistance. We cloned Rmo2 and Rwt7, genes for resistance to the blast fungus, from barley and wheat, respectively, and discovered that they are orthologs encoding TKPs with an integrated N-terminal heavy metal-associated (HMA) domain. Rmo2 was collocated with Rpg1, a TKP gene for resistance to stem rust, while Rwt7 was collocated with WTK4, a TKP gene for resistance to powdery mildew. Domain swapping suggested that the HMA domain determines target effector specificity of these genes. We propose a model illustrating an evolutionary process in which a TKP gene has differentiated into paralogs and orthologs that recognize various effectors through diversification of their HMA domains.

plant biology↗

bioRxiv2025

Humoral immunity induced by XEC monovalent vaccines against SARS-CoV-2 variants including XEC, LP.8.1, NB.1.8.1, XFG, and BA.3.2

After the emergence of SARS-CoV-2 Omicron variant at the end of 2021, Omicron has highly diverged into various sublineages: e.g., BA.5 in 2022, XBB.1.5 in 2023, JN.1 in 2024. Currently, several JN.1 subvariants including XEC, LP.8.1, NB.1.8.1 and XFG are circulating worldwide. Additionally, recent studies show that BA.3.2, a descendant of Omicron BA.3, exhibits profound immune evasion potential. On December 5, 2025, BA.3.2, was designated a variant under monitoring by the WHO. To prevent COVID-19, several countries including Japan have continuously developed and approved variant-adapted vaccines: e.g., ancestral/BA.5 bivalent vaccine in 20223, XBB.1.5-based monovalent vaccine in 20234, JN.1-based monovalent vaccine in 2024, and LP.8.1-based monovalent vaccine in 2025. Since XEC was more prevalent than LP.8.1 at the beginning of 2025 in Japan, two Japanese pharmaceutical companies, Daiichi Sankyo and Meiji Seika Pharma, have produced XEC-based vaccines. Here, we investigated the antiviral immunity induced by XEC-based monovalent vaccines against recently circulating SARS-CoV-2 variants, as well as BA.3.2, in the Japanese population. To assess the neutralizing antibody response induced by XEC-based vaccines, we obtained sera from individuals who had been vaccinated with the XEC-based mRNA monovalent vaccine produced by Daiichi Sankyo (N=22) or the XEC-based self-amplifying replicon vaccine produced by Meiji Seika Pharma (N=20). We collected sera before and 3-4 weeks after vaccination and then performed a neutralization assay using these sera with lentivirus-based pseudoviruses harboring spike proteins of B.1.1, BA.5, XBB.1.5, JN.1, XEC, LP.8.1, NB.1.8.1, XFG and BA.3.2. The 50% neutralization titers of the sera against all variants tested were significantly increased in after vaccination in both Daiichi Sankyo cohort (2.1-fold to 11.9-fold, P<0.0001) and Meiji Seika Pharma cohort (1.4-fold to 3.9-fold, P<0.0005). Consistent with our recent study using the sera from LP.8.1-based vaccinees, the humoral immunity induced by XEC-based vaccines against JN.1 and its subvariants (XEC, LP.8.1, NB.1.8.1 and XFG) was greater than that against other variants (B.1.1, BA.5, XBB.1.5 and BA.3.2). Notably, our result showed that the XEC-based mRNA vaccine induces a stronger humoral immunity compared to the XEC-based replicon vaccine, and even the LP.8.1-adapted vaccines. However, it should be noted that our cohorts are relatively small and may include confounding factors that affect the results, such as age, sex, history of natural infection and vaccination status. Future investigations with larger cohorts are required to better understand this possibility. To compare the immune status induced by XEC- and LP.8.1-based vaccines, we analyzed the cross-neutralization induced by these vaccines using antigenic cartography. The antigenic map was depicted based on the 50% neutralization titers values obtained from this study and our recent study using LP.8.1-based vaccine sera. The cartography showed that the immune status induced by XEC-based vaccines was similar to that induced by LP.8.1-based vaccines against the nine SARS-CoV-2 variant antigens tested. In sum, our investigations, including the recent one8, suggest that all 4 of the JN.1 subvariants-based vaccines that we tested induce profound humoral immunity against a broad range of SARS-CoV-2 variants.

microbiology↗

bioRxiv2025

Humoral immunity induced by LP.8.1 monovalent vaccines against a broad range of SARS-CoV-2 variants including XEC, NB.1.8.1, XFG, and BA.3.2

In the spring of 2025, multiple SARS-CoV-2 Omicron JN.1 subvariants were circulating, with LP.8.1 among the major variants. Pharmaceutical companies such as Pfizer/BioNTech, Moderna, and Novavax/Takeda adopted monovalent LP.8.1 for their 2025-2026 season vaccines, following recommendations issued by the WHO in May 2025. As of November 2025, SARS-CoV-2 variants including LP.8.1, XEC, NB.1.8.1, and XFG--all designated as variants under monitoring--were circulating. In terms of the spike gene, these recent variants as well as LP.8.1 are derived from JN.1. Moreover, BA.3.2, a BA.3 descendant with multiple mutations in the spike gene, has recently emerged and exhibits robust immune evasion. In Japan, the rollout of the LP.8.1-based vaccination has progressed since the end of September 2025. We previously reported the humoral immunity induced by the XBB.1.5-based monovalent vaccine in 2023 and the JN.1-based monovalent vaccine in 2024 in the Japanese population. Here, we investigated the efficiency of humoral immunity induced by two LP.8.1-based vaccines, the mRNA vaccine from Pfizer/BioNTech and the recombinant protein-based vaccine from Novavax/Takeda, in Japan. We performed neutralization assays using sera obtained from individuals who received the LP.8.1 mRNA vaccine from Pfizer/BioNTech (N=29) or the LP.8.1 recombinant protein vaccine from Novavax/Takeda (N=20) with pseudoviruses harboring spike proteins of B.1.1, BA.5, XBB.1.5, JN.1, LP.8.1, XEC, NB.1.8.1, XFG and BA.3.2. In both mRNA and protein-based vaccinee groups, the change in 50% neutralizing titer (NT50) against variants that were predominant before JN.1 (i.e., B.1.1, BA.5 and XBB.1.5) were smaller than those against JN.1 and its subvariants, including LP.8.1, XEC, NB.1.8.1 and XFG. Consistent with recent studies, neutralizing antibodies against BA.3.2 were induced by both vaccines. However, the induction fold change of BA.3.2 was smaller than those of JN.1 and its subvariants. Next, we tested humoral immune response of participants who received both JN.1-based vaccine in 2024 and LP.8.1-based vaccine in 2025 (N=15). Approximately a year after the JN.1-based vaccination, neutralization titer has waned against all variants tested. However, when we compare the NT50s of pre-vaccination sera between 2025 and 2024, those in 2025 against all variants except for B.1.1 were significantly higher than those last year. This suggests that the cross-neutralizing antibodies induced by JN.1-based vaccination were still maintained for a year. Furthermore, the neutralization abilities against the JN.1 sublineages tested and BA.3.2 were significantly reboosted after the LP.8.1-based vaccination. Our study shows immune boosting by the LP.8.1-based vaccine is effective in achieving cross-neutralization against a broad range of JN.1 sublineages in a JN.1-naive population and in recalling waning humoral immunity against these subvariants.

microbiology↗

bioRxiv2025

Spontaneous Emergence of Symmetry in a Generative Model of Protein Structure

Generative models are becoming powerful tools for protein design, enabling the creation of novel protein structures and sequences. Recent approaches have shown success using diffusion models and flow matching to sample realistic protein folds. Many methods explicitly incorporate structural biases or constraints--for example, enforcing symmetry during generation--to steer the design process. Here we report the spontaneous emergence of structural symmetry in a transformer-based generative model for proteins, without any symmetry-specific conditioning during training or constraints during generation. In our flow-matching model, a single attention head in an SE(3)-equivariant transformer layer was found to be primarily responsible for the models ability to generate symmetric arrangements of backbone residues across chains, or repeating motifs within a chain. Our results show that protein generative models can learn high-level structural patterns implicitly from training data. This opens new questions about interpretability and control in generative design: understanding how and why a single attention head can govern a complex global property like symmetry may inform future model architectures and help exploit emergent behaviors for better protein engineering.

bioinformatics↗

bioRxiv2025

Blind Prediction of Complex Water and Ion Ensembles Around RNA in CASP16

Biomolecules rely on water and ions for stable folding, but these interactions are often transient, dynamic, or disordered and thus hidden from experiments and evaluation challenges that represent biomolecules as single, ordered structures. Here, we compare blindly predicted ensembles of water and ion structure to the cryo-EM densities observed around the Tetrahymena ribozyme at 2.2-2.3 [A] resolution, collected through target R1260 in the CASP16 competition. 26 groups participated in this solvation cryo-ensemble prediction challenge, submitting over 350 million atoms in total, offering the first opportunity to compare blind predictions of dynamic solvent shell ensembles to cryo-EM density. Predicted atomic ensembles were converted to density through local alignment and these densities were compared to the cryo-EM densities using Pearson correlation, Spearman correlation, mutual information, and precision-recall curves. These predictions show that an ensemble representation is able to capture information of transient or dynamic water and ions better than traditional atomic models, but there remains a large accuracy gap to the performance ceiling set by experimental uncertainty. Overall, molecular dynamics approaches best matched the cryo-EM density, with blind predictions from bussilab_plain_md, SoutheRNA, bussilab_replex, coogs2, and coogs3 outperforming the baseline molecular dynamics prediction. This study indicates that simulations of water and ions can be quantitatively evaluated with cryo-EM maps. We propose that further community-wide blind challenges can drive and evaluate progress in modeling water, ions and other previously hidden components of biomolecular systems.

biophysics↗