Biology subjects

Matsuda, K.

Publications and source records attributed to Matsuda, K..

At least 19 recordsLinked to original sources

bioRxiv2026

Beyond point estimates: quantifying predictive uncertainty reveals hidden dimensions of biological age acceleration and improves risk interpretation

Biological age estimates are increasingly used to study aging, disease risk, and mortality, yet their predictive uncertainty is rarely quantified. Consequently, conventional age-gap measures can treat deviations as equally informative even when the underlying biological age predictions differ substantially in reliability. We developed a framework for uncertainty-aware biological aging that generates calibrated prediction intervals and individualized probabilities of accelerated or decelerated aging alongside point estimates. We applied this framework to the UK Biobank Pharma Proteomics Project, evaluating three composite and eleven organ-specific biological age clocks. Predictive uncertainty varied substantially both within and across clocks, revealing that apparently extreme age gaps can differ markedly in the strength of evidence supporting accelerated or decelerated aging. In particular, low-accuracy clocks, including many organ-specific clocks, provided little evidence for confidently accelerated or decelerated aging. Beyond biological age gaps, prediction-interval width was independently associated with disease risk and mortality, particularly for composite, brain, and immune clocks, suggesting that predictive uncertainty captures an additional dimension of biological aging that may reflect increased molecular heterogeneity and dysregulation associated with aging and disease. We replicated these findings in Biobank Japan and an independent clinical cohort from Stanford. By incorporating individual-specific predictive uncertainty, our framework provides a more informative characterization of biological aging and enables improved individual-level risk stratification for disease prevention and longitudinal monitoring.

bioinformatics↗

bioRxiv2026

UBL3 UBL domain exhibits distinct helix-centered dynamic control among ubiquitin-like proteins

Ubiquitin-like protein 3 (UBL3) is a post-translational modifier that sorts proteins into small extracellular vesicles and regulates the trafficking of disease-associated proteins such as -synuclein. The structural and dynamic features of the UBL domain that underlie these functions, however, remain poorly understood. Here we performed in silico structural dynamics analysis of the UBL3 UBL domain using an NMR structure ensemble combined with anisotropic network modeling (ANM) and perturbation response scanning (PRS). Principal component analysis and residue-wise fluctuation analysis consistently revealed high flexibility in the C-terminal region of UBL3. Comparative ANM analysis across 20 ubiquitin-like proteins (UBLs) further showed that C-terminal flexibility is a conserved yet variable property within the UBL family. PRS analysis demonstrated that residues forming the central -helix of the {beta}-grasp fold exert greater dynamic control over collective motions than {beta}-sheet residues. Notably, UBL3 displayed the highest helix/sheet PRS effectiveness ratio among all UBLs analyzed, highlighting the prominent dynamic contribution of helix residues in this domain. Together, these results provide a structural basis for understanding UBL3-dependent protein interactions and disease-related mechanisms, and suggest that helix-centered dynamic control in the UBL domain may represent a potential target for modulating UBL3 function.

bioinformatics↗

bioRxiv2026

TET2-mutant clonal hematopoiesis prevents T-cell exhaustion and suppresses cancer metastasis

Clonal hematopoiesis (CH) is widely regarded as a risk factor for age-associated disease, yet its influence on solid tumor progression remains poorly understood. Here, we uncover an unexpected tumor-suppressive role for TET2-mutant CH in solid tumors. Through an analysis of over 16,000 cancer patients, we demonstrate that TET2 mutations are associated with a significant reduction in metastatic burden. Mechanistically, we show that Tet2 deficiency prevents terminal exhaustion in CD8+ tumor-infiltrating lymphocytes (CD8+ TILs). This resistance is driven by DNA hypermethylation at regulatory elements of the transcription factor Tox, which prevents the induction of the terminal exhaustion program. Consequently, Tet2-deficient CD8+ TILs maintain stem-like, effector-competent states that mediate durable anti-tumor immunity and suppress metastatic outgrowth. Our findings establish TET2-mutant CH as a natural epigenetic constraint on T-cell exhaustion and uncover a mechanistically defined pathway with translational potential for enhancing anti-tumor immune responses.

immunology↗

bioRxiv2026

Intranasal Replicating Adenovirus type 4-SARS-CoV-2 Recombinants Induce Superior Immune Response Durability and Efficacy in Preclinical Testing Compared to Standard Intramuscular Vaccines

The portfolio of next generation COVID-19 vaccines would benefit from candidates that induce durable systemic and mucosal immune responses that would lessen person-to-person transmission. We constructed an intranasal (IN) replication-competent adenovirus type 4 recombinant platform to express SARS-CoV-2 Spike variants (Ad4-S) and assessed immunogenicity and efficacy in the Syrian hamster model. Although both IN Ad4-S and intramuscular (IM) vaccines (Ad26.CoV2.S and mRNA-1273) induced serum binding antibodies, only Ad4-S induced a robust mucosal response in the nasal cavity. IN Ad4-S vaccination induced serum neutralizing titers equivalent to or greater than IM vaccination but more durable up to 6 months. Upon challenge, IN immunization also resulted in less weight loss, greater breadth and durability of restriction of viral replication, and less lung pathology than IM immunization up to 268 days after immunization. These data support the potential of the IN Ad4 vaccine platform to reduce transmission of SARS-CoV-2 and other respiratory viruses with pandemic potential.

immunology↗

bioRxiv2025

Identification of a novel small molecule facilitating HIV elimination by the "Shock-and-Kill" approach

The development of antiretroviral therapy (ART) has significantly improved the prognosis of people living with HIV (PLWH). However, reservoirs of latent viruses represent a major barrier to achieving a complete cure of HIV infection. To overcome the burden of viral latency, the "Shock-and-Kill" strategy employs latency-reversing agents (LRAs) to reactivate the virus and thus render it susceptible to elimination. Existing LRAs are not optimal and there is an unmet need for improvement. By screening a small molecule library, we identified the novel LRA candidate 2-HSB (2-hydrido-2,2-spirobi(1,3,2-benzodioxaphosphole)) which not only reactivates latent HIV provirus but also induces specific cytopathic effects in both monocytic and T lymphocytic latent HIV reservoirs. Thus, this novel compound represents a dual "shock and kill" agent, unlike known LRAs which are limited to the "shock". The probable involvement of HIV-1 tat protein may account for its selectivity. Although both shock and kill effects seemed to be regulated by spleen tyrosine kinase, they were independent of each other, indicating that neither activation-induced cell death nor cell death-induced reactivation was occurring. Crucially, 2-HSB induced viral transcription in ART-suppressed PLWH samples in vitro. Our findings present 2-HSB as a promising dual-action compound for the "Shock and Kill" strategy, demonstrating efficacy in both transformed cell lines and clinically-relevant primary samples. These results raise the possibility of distinguishing the mode of action of the two effects, potentially leading to the development of a single agent causing both HIV-1 reactivation and elimination and contributing to the improvement of treatment.

microbiology↗

bioRxiv2025

Predicting protein complexes in biosynthetic gene clusters

Biosynthetic gene clusters (BGCs) are contiguous genomic regions that encode diverse proteins responsible for natural product biosynthesis. These proteins collectively produce various secondary metabolites with complex chemical structure, including antibiotics and mycotoxins, yet the complete biosynthetic pathways have been experimentally resolved for only a limited number of compounds. Protein-protein interactions within BGCs have recently been recognized as key determinants of intermediate transfer, enzymatic regulation, and structural stability. However, many BGCs still contain proteins of unknown function that cannot be predicted by conventional sequence-based bioinformatics tools, hindering a comprehensive understanding of their biosynthetic pathways. To address this challenge, we built a high-throughput complex prediction pipeline by replacing AlphaFold3s multiple sequence alignment generation with a faster MMSeqs2. We systematically screened 487,828 protein pairs derived from 2,437 BGCs registered in the Minimum Information about a Biosynthetic Gene cluster (MIBiG) database and predicted 15,438 heteromeric interactions with an ipTM [≥] 0.6. Among them, 1,390 protein pairs exhibited structural homology with an RMSD [≤] 2.0 [A]. These predictions highlight interesting molecular mechanisms involving proteins previously annotated as "uncharacterized" or "potentially dysfunctional". Our analysis further showed that the ipSAE metric can distinguish correct heterocomplex pairs when multiple functionally homologous proteins are present within a BGC. Overall, our computational analysis revealed molecular interaction networks among proteins encoded by each BGC and identified enzyme complexes that are likely functional only when assembled. These predicted complexes may represent previously unrecognized links in their biosynthetic pathways. The complete results are available in a reusable format at https://doi.org/10.5281/zenodo.17451667 to support future experimental validation.

bioinformatics↗

bioRxiv2025

Alphavirus replicon particle expressing IL-12 reprograms tumor-associated macrophages and neutrophils and induces anti-tumor immunity

Cancers evade anti-tumor immunity by the infiltration of immunosuppressive myeloid cells such as macrophages and neutrophils into the tumor microenvironment (TME). The limited efficacy of current immunotherapy is attributed to the presence of these immunosuppressive cells. Here, we describe a novel immunotherapy approach, using a single-cycle alphavirus replicon particle (VRP) that carries a self-amplifying RNA encoding interleukin-12 (IL-12). Leveraging the natural tropism of alphavirus to myeloid cells, single cell transcriptomic analyses of mouse tumor tissues demonstrated that intratumoral (i.t.) injection of the vector effectively reprogrammed tumor-associated macrophages and neutrophils toward a pro-inflammatory, anti-tumor phenotype via interferon signaling, further enhanced by IL-12 expression. The treatment also induced cytotoxic NK and T cell responses, resulting in a significant reduction of tumor growth and effectively preventing nodal and distant metastases in solid tumor mouse models. By targeting tumor-supporting myeloid cells to transform the TME into an immune-active state, our myeloid modulation approach has the potential to enhance the efficacy of current immunotherapies.

cancer biology↗

bioRxiv2025

Molecular and functional dissection using CaMPARI-seq reveals the neuronal organization for dissociating optic flow-dependent behaviors

Optic flow processing is critical for the visual control of body and eye movements in many animals. Rotational and translational binocular optic flow patterns need to be clearly distinguished to induce different behavior outputs. However, the specific neuron types and their connectivity involved in this computation remain unclear. Here, we developed a method to link the functional labeling using a photoconvertible calcium indicator called CaMPARI2 and single-cell RNA-sequencing (CaMPARI-seq) to investigate the transcriptional profile of the pretectum, a center for processing optic flow in larval zebrafish. Using this technique, we identified a pretectal cluster expressing tcf7l2, which can be further classified into molecularly distinct subclusters. In vivo calcium imaging and cell ablation revealed that nkx1.2lb-positive pretectal neurons are commissural inhibitory neurons required for the optomotor response but not for the optokinetic response. Our genetic and functional dissection using CaMPARI-seq uncovered the neuronal organization essential for dissociating different optic flow-dependent behaviors.

neuroscience↗

bioRxiv2025

Field potential Imaging in human iPSC- derived Cardiomyocytes using UHD-CMOS-MEA

Evaluation using beat propagation analysis of human iPS cardiomyocytes is an effective approach for assessing human cardiac safety in drug development. However, current applications are primarily focused on detecting QT prolongation and arrhythmia risk, while its ability to comprehensively detect cardiotoxicity remains insufficient. Additionally, predicting the mechanism of action, which is crucial in drug development, remains challenging. In this study, we employed field potential imaging (FPI) using an ultra-high-density (UHD) CMOS microelectrode array (MEA) comprising 236,880 electrodes with high spatiotemporal resolution, capable of recording the activity of a monolayer of cardiomyocytes with tens of electrodes per cell. This method enabled the establishment of novel electrophysiological endpoints, including the number of excitation origins, fluctuations in origin positions, conduction velocity, and propagation area. Pharmacological characterization revealed drug-specific effects: isoproterenol increased excitation origins, mexiletine reduced conduction velocity, and E-4031 decreased propagation area while inducing early afterdepolarizations. Multivariate analysis of 13 compounds across 17 electrophysiological endpoints distinguished conduction velocity and propagation patterns based on their mechanisms of action. Additionally, 0.1 M doxorubicin exposure for 24 hours significantly reduced conduction velocity and propagation area, allowing early detection of chronic cardiotoxicity. These findings suggest that UHD-CMOS-MEA-based FPI enhances cardiotoxicity detection at low concentrations and precisely characterizes ion channel activity across different drug concentrations. The integration of novel electrophysiological endpoints derived from UHD-CMOS-MEA-based FPI, including excitation origin analysis, conduction velocity, and propagation area, along with multivariate analysis, is anticipated to establish a next-generation in vitro platform for comprehensive cardiotoxicity risk assessment and mechanism-based prediction of drug candidates.

pharmacology and toxicology↗

bioRxiv2025

Operant House: A Versatile Open-Source Platform for Automated Operant Conditioning Testing of Mice in Home Cages

Operant conditioning is a valuable method for studying cognitive functions, yet its adoption is limited by low throughput, labor intensity, and high costs. Here, we developed "Operant House," a low-cost, programmable device featuring a touchscreen, retractable levers, and a water reward port, designed for flexible, automated operant conditioning tasks. To validate its utility, we implemented two protocols to assess working memory in mice: a delayed non-match-to-position test and a two-choice spatial discrimination test. Using these protocols, we examined a mouse model of Alzheimers disease carrying familial Alzheimers disease-associated amyloid precursor protein mutations. Results revealed significant working memory deficits as early as 5 months of age. These findings highlight the Operant House as a cost-effective, high-throughput platform for evaluating higher cognitive functions in mice, offering an accessible tool for investigating models of neurological and neuropsychiatric disorders.

neuroscience↗

bioRxiv2024

Low-affinity ligands of the epidermal growth factor receptor are long-range signal transmitters during collective cell migration of epithelial cells

Epidermal growth factor receptor ligands (EGFRLs) consist of seven proteins. In stark contrast to the amassed knowledge concerning the epidermal growth factor receptors themselves, the extracellular dynamics of individual EGFRLs remain elusive. Here, employing fluorescent probes and a tool for triggering ectodomain shedding of EGFRLs, we show that EREG, a low-affinity EGFRL, exhibits the most rapid and efficient activation of EGFR in confluent epithelial cells and mouse epidermis. In Madin-Darby canine kidney (MDCK) renal epithelial cells, EGFR- and ERK-activation waves propagate during collective cell migration in an ADAM17 sheddase- and EGFRL-dependent manner. Upon induction of EGFRL shedding, radial ERK activation waves were observed in the surrounding receiver cells. Notably, the low-affinity ligands EREG and AREG mediated faster and broader ERK waves than the high-affinity ligands. The integrity of tight/adherens junctions was essential for the propagation of ERK activation, implying that the tight intercellular spaces prefer the low-affinity EGFRL to the high-affinity ligands for efficient signal transmission. To validate this observation in vivo, we generated EREG-deficient mice expressing the ERK biosensor and found that ERK wave propagation and cell migration were impaired during skin wound repair. In conclusion, we have quantitatively demonstrated the distinctions among EGFRLs in shedding, diffusion, and target cell activation in physiological contexts. Our findings underscore the pivotal role of low-affinity EGFRLs in rapid intercellular signal transmission.

cell biology↗

bioRxiv2023

Neural correlates of category learning in monkey inferior temporal cortex

We trained two monkeys implanted with multi-electrode arrays to categorize natural images of cats and dogs, in order to observe changes in neural activity related to category learning. We recorded neural activity from area TE, which is required for normal learning of visual categories based on perceptual similarity. Neural activity during a passive viewing task was compared pre- and post-training. After the category training, the accuracy of abstract category decoding improved. Specifically, the proportion of single units with category selectivity increased, and units sustained their category-specific responses for longer. Visual category learning thus appears to enhance category separability in area TE by driving changes in the stimulus selectivity of individual neurons and by recruiting more units to the active network.

neuroscience↗

bioRxiv2023

Incorporation of 5 methylcytidine alleviates innate immune response to self-amplifying RNA vaccine

In order to improve vaccine effectiveness and safety profile of existing synthetic RNA-based vaccines, we have developed a self-amplifying RNA (saRNA)-based vaccine expressing membrane-anchored receptor binding domain (RBD) of SARS-CoV-2 S protein (S-RBD) and have demonstrated that a minimal dose of this saRNA vaccine elicits robust immune responses. Results from a recent clinical trial with 5-methylcytidine (5mC) incorporating saRNA vaccine demonstrated reduced vaccine-induced adverse effects while maintaining robust humoral responses. In this study, we investigate the mechanisms accounting for induction of efficient innate and adaptive immune responses and attenuated adverse effects induced by the 5mC-incorporated saRNA. We show that the 5mC-incorporating saRNA platform leads to prolonged and robust expression of antigen, while induction of type-I interferon (IFN-I), a key driver of reactogenicity, is attenuated in peripheral blood mononuclear cells (PBMCs), but not in macrophages and dendritic cells. Interestingly, we find that the major cellular source of IFN-I production in PBMCs is plasmacytoid dendritic cells (pDCs), which is attenuated upon 5mC incorporation in saRNA. In addition, we demonstrate that monocytes also play an important role in amplifying proinflammatory responses. Furthermore, we show that the detection of saRNA is mediated by a host cytosolic RNA sensor, RIG-I. Importantly, 5mC-incorporating saRNA vaccine candidate produced robust IgG responses against S-RBD upon injection in mice, thus providing strong support for the potential clinical use of 5mC-incorporating saRNA vaccines.

immunology↗

bioRxiv2023

Quantification of the escape from X chromosome inactivation with the million cell-scale human single-cell omics datasets reveals heterogeneity of escape across cell types and tissues

One of the two X chromosomes of females is silenced through X chromosome inactivation (XCI) to compensate for the difference in the dosage between sexes. Among the X-linked genes, several genes escape from XCI, which could contribute to the differential gene expression between the sexes. However, the differences in the escape across cell types and tissues are still poorly characterized because no methods could directly evaluate the escape under a physiological condition at the cell-cluster resolution with versatile technology. Here, we developed a method, single-cell Level inactivated X chromosome mapping (scLinaX), which directly quantifies relative gene expression from the inactivated X chromosome with droplet-based single-cell RNA-sequencing (scRNA-seq) data. The scLinaX and differentially expressed genes analyses with the scRNA-seq datasets of [~]1,000,000 blood cells consistently identified the relatively strong degree of escape in lymphocytes compared to myeloid cells. An extension of scLinaX for multi-modal datasets, scLinaX-multi, suggested a stronger degree of escape in lymphocytes than myeloid cells at the chromatin-accessibility level with a 10X multiome dataset. The scLinaX analysis with the human multiple-organ scRNA-seq datasets also identified the relatively strong degree of escape from XCI in lymphoid tissues and lymphocytes. Finally, effect size comparisons of genome-wide association studies between sexes identified the larger effect sizes of the PRKX gene locus-lymphocyte counts association in females than males. This could suggest evidence of the underlying impact of escape on the genotype-phenotype association in humans. Overall, scLinaX and the quantified catalog of escape identified the heterogeneity of escape across cell types and tissues and would contribute to expanding the current understanding of the XCI, escape, and sex differences in gene regulation.

genomics↗

bioRxiv2023

A Tetravalent Dengue Virus-like Particle Vaccine Induces High levels of Neutralizing Antibodies and Inhibits Dengue Replication in Non-Human Primates

Dengue virus (DENV) represents a significant global health burden, with 50% of the worlds population at risk of infection, and there is an urgent need for next-generation vaccines. Virus-like particle (VLP)-based vaccines, which mimic the antigenic structure of the authentic virus but lack the viral genome, are an attractive approach. Here we describe a dengue VLP (DENVLP) vaccine which generates a robust and long-lasting neutralizing antibody response against all four DENV serotypes in non-human primates. Importantly, DENVLP vaccination produced no ADE response against any of four DENV serotypes. Finally, we demonstrate in a non-human primate challenge model that DENVLP vaccination substantially reduces viral replication. We also transfer the purified IgG from the immunized monkeys into immunodeficient mice, where they protect against subsequent lethal dengue virus challenge, indicating a humoral mechanism of protection. These results indicate that a DENVLP vaccine is a safe and effective vaccine candidate. One Sentence Summary: Immunization of non-human primates with a tetravalent dengue VLP vaccine induces high levels of neutralizing antibodies and reduces the severity of infection for all four dengue serotypes.

microbiology↗

bioRxiv2023

HOIL-1L deficiency induces cell cycle alteration which causes immaturity of myocyte and fibrogenesis

HOIL-1L deficiency was recently reported to be one of the causes of myopathy and dilated cardiomyopathy (DCM). However, the mechanisms by which myopathy and DCM develop have not been clearly elucidated. Here, we sought to elucidate these mechanisms using the murine myoblast cell line C2C12 and disease-specific human induced pluripotent stem cells (hiPSCs). Myotubes were differentiated from control and HOIL-1L-KO C2C12 cells. Cardiomyocytes (CMs) were differentiated from control and patient-derived hiPSCs. We investigated the impact of HOIL-1L on differentiation of myotubes and CMs. Myotubes differentiated from HOIL-1L-KO C2C12 cells exhibited deteriorated differentiation and mitotic cell accumulation. CMs differentiaed from patient-derived hiPSCs had an abnormal morphology with a larger size and were excessively multinucleated compared with CMs differentiaed from control hiPSCs. Further analysis of hiPSC- derived CMs showed that HOIL-1L deficiency caused cell cycle alteration and mitotic cell accumulation. These results were supported by RNA sequencing of C2C12 cell-derived myotubes. In addition, SerpinE2, a cardiac fibrogenesis gene, was significantly upregulated in CMs differentiaed from patient-derived hiPSCs. These results demonstrate that abnormal cell maturation and fibrosis possibly contribute to the development of DCM and myopathy. In conclusion, HOIL-1L is an important intrinsic regulator of cell cycle-related myotube and CM maturation and cell proliferation.

cell biology↗

bioRxiv2023

Purkinje Cells Control Posture in Larval Zebrafish (Danio rerio)

Cerebellar dysfunction leads to postural instability. Recent work in freely moving rodents has transformed investigations of cerebellar contributions to posture. However, the combined complexity of terrestrial locomotion and the rodent cerebellum motivate new approaches to perturb cerebellar function in simpler vertebrates. Here, we adapted a validated chemogenetic tool (TRPV1/capsaicin) to describe the role of Purkinje cells -- the output neurons of the cerebellar cortex -- as larval zebrafish swam freely in depth. We achieved both bidirectional control (activation and ablation) of Purkinje cells while performing quantitative high-throughput assessment of posture and locomotion. Activation modified postural control in the pitch (nose-up/nose-down) axis. Similarly, ablations disrupted pitch-axis posture and fin-body coordination responsible for climbs. Postural disruption was more widespread in older larvae, offering a window into emergent roles for the developing cerebellum in the control of posture. Finally, we found that activity in Purkinje cells could individually and collectively encode tilt direction, a key feature of postural control neurons. Our findings delineate an expected role for the cerebellum in postural control and vestibular sensation in larval zebrafish, establishing the validity of TRPV1/capsaicin-mediated perturbations in a simple, genetically-tractable vertebrate. Moreover, by comparing the contributions of Purkinje cell ablations to posture in time, we uncover signatures of emerging cerebellar control of posture across early development. This work takes a major step towards understanding an ancestral role of the cerebellum in regulating postural maturation.

neuroscience↗

bioRxiv2023

Origami-based growing tube model for reproducing shell shapes

Mathematical models for shell morphology have been well-studied in theoretical morphology. The growing tube model proposed by Takashi Okamoto was developed to reproduce heteromorph ammonoids and can generate various shells by changing three parameters: curvature, torsion, and enlarging ratio. Previous studies in theoretical morphology have employed computers to visualize mathematical models. However, computers are not accessible to everyone, and merely observing the graphics of the reproduced shells does not deepen understanding of the mathematical model. Therefore, in this study, we considered using origami, which is inexpensive and readily available, to make users understand mathematical models through hands-on folding. First, we simplified the crease pattern of seashells, originally devised by an origami artist Tomoko Fuse, to create a basic crease pattern. We then identified the crease pattern elements corresponding to the three parameters in the growing tube model and the aperture-apex position determiner. Based on them, we reproduced various shell shapes, including a heteromorph-ammonoid-like shape, with origami. Finally, we investigated the constraints between parameters in the origami-growing tube model. The origami-growing tube model is expected to help disseminate mathematical models and promote theoretical biology.

scientific communication and education↗