Biology subjects

Matsumoto, S.

Publications and source records attributed to Matsumoto, S..

At least 19 recordsLinked to original sources

bioRxiv2026

MacroH2A1 and H3K27me3 target cGAS to facultative heterochromatin to restrain innate immune activation

The DNA sensor cGAS is largely sequestered on chromatin in an inactive form, but how this state is regulated remains unclear. We show that cGAS preferentially binds nucleosomes containing the histone variant macroH2A1 (mH2A1) marked by H3K27me3 and H3K9me3. Cryo-EM reveals that cGAS selectively engages the mH2A1/H2B acidic patch within heterotypic nucleosomes. Depleting mH2A1.1 or blocking H3K27me3 deposition releases cGAS from chromatin and activates the cGAS-STING-IRF3 pathway. Genome-wide profiling reveals two cGAS-bound chromatin compartments: chromosome-arm sites co-occupied by mH2A1.1, methylated CpG islands, and CTCF, where cGAS and mH2A1.1 binding are interdependent; and centromeric regions (14% of peaks), which lack DNA methylation and mH2A1.1 dependence. These findings establish mH2A1 and H3K27me3 as determinants of cGAS chromatin tethering, linking nuclear cGAS regulation to facultative heterochromatin and opening new avenues for modulating cGAS-STING signaling.

cell biology↗

bioRxiv2026

Resolution-standardized evaluation of ligand atomic coordinates in crystallographic structures using machine learning

Accurate assessment of ligand coordinate-density consistency across different resolutions remains challenging in macromolecular crystallography. We introduce the atomic Box Correlation Coefficient (aBCC), an atom-level metric for evaluating the consistency between ligand atomic coordinates and electron density in a resolution-standardized framework. To predict aBCC values from electron-density maps, we developed QAEmap, a machine-learning model based on three-dimensional convolutional neural networks (3D-CNNs). The model was trained using Fourier-truncated electron-density maps and corresponding ligand coordinates generated from high-resolution structures in the Protein Data Bank. It was evaluated using both Fourier-truncated electron-density maps and experimentally determined PDB structures. was evaluated using both Fourier-truncated electron-density maps and experimentally determined PDB structures.The prediction accuracy gradually decreased with decreasing resolution, but remained reliable up to [~]3.5 [A]. These results demonstrate that aBCC enables resolution-standardized atom-wise evaluation of coordinate-density consistency across different resolutions and provide a foundation for further development and refinement of machine learning-based coordinate validation. SynopsisWe introduce the atomic box correlation coefficient (aBCC), a machine learning-based metric for the resolution-standardized atom-level evaluation of ligand coordinate-density consistency in crystallographic structures. aBCC provides a common framework for assessing and communicating the local coordinate reliability between structural biologists and researchers in structure-based drug discovery.

molecular biology↗

bioRxiv2026

Astrocyte-to-microglia purinergic signaling mediates synaptic shielding and promotes neuronal activity

How glial cells sense and regulate neuronal hypoactivity remains poorly understood. Using in vivo imaging in anesthetized, sleeping, and behaving mice, we identified a glial purinergic signaling mechanism that converts neuronal hypoactivity into local circuit regulation. Cortical hypoactivity increased spatially confined ATP release through astrocytic pannexin-1 hemichannels, which were structurally enriched near perisomatic parvalbumin-positive boutons. Local ATP release directed microglial process movement and stabilized bulbous endings through microglial P2Y12 signaling, accompanied by localized Ca{superscript 2} activity in microglial processes. Disruption of astrocytic pannexin-1 or microglial P2Y12 impaired bulbous-ending stabilization and abolished rebound increases in neuronal activity during emergence from anesthesia. Similar ATP release and bulbous-ending formation were observed during chemogenetic neuronal silencing or natural sleep in freely behaving mice. These findings identify astrocyte-to-microglia purinergic signaling as a mechanism that converts neuronal hypoactivity into synapse-selective microglial regulation of circuit activity.

neuroscience↗

bioRxiv2025

Mycobacterial DNA-binding protein 1 (MDP1) induces RNA condensation as revealed by high-speed AFM

Mycobacterial DNA-binding protein 1 (MDP1) is a histone-like protein in Mycobacterium tuberculosis (Mtb) that contributes to genome organization and dormancy adaptation. MDP1 consists of a structured HU-like region (HUR), and a post-translational modifications (PTMs)-enriched intrinsically disordered region (IDR), that regulate its function. While its role in DNA condensation is well established, how MDP1 interacts with RNA remains unclear, despite growing recognition of transcriptional regulation during dormancy. Here, by using total RNA from E. coli as a model substrate, we investigated whether MDP1 induces RNA condensation. Our high-speed AFM and optical microscopy analysis shows that native MDP1 from Mtb, rich in PTMs, forms globular RNA condensates. In contrast, MDP1 expressed in E. coli, which lacks PTMs, induces chain-like RNA condensates. Domain-specific analysis revealed that the IDR, the synergy between the IDR and HUR, and PTMs are essential for MDP1-induced RNA condensation. These findings suggest that MDP1 mediates RNA organization during dormancy.

biophysics↗

bioRxiv2025

Conversion of an agonistic anti-TNFR2 biparatopic antibody into an antagonist by insertion of peptide linkers into the hinge region

Biparatopic antibodies (BpAbs) bind two different antigen epitopes to form characteristic immunocomplexes. Many BpAbs have been developed for enhanced cross-linking to induce signal transduction or cell internalization, whereas few were reported with smaller immunocomplexes to suppress unwanted signaling. Here, we developed a strategy to induce 1:1 immunocomplex formation to maximize antagonistic function. Various peptide linkers were introduced into the hinge regions of IgG-like agonist BpAbs against tumor necrosis factor receptor 2. Loss of crosslinking activity was observed for one BpAb, allowing the conversion of its function from an agonist to an antagonist. However, cross-linking activity was retained for another agonist BpAb, which binds to a different epitope pair. In a combined analysis of cryo-electron microscopy and coarse-grained molecular dynamics simulations, effect of epitope combination on the stability of 1:1 complexes was observed. These results lead to an understanding of the mechanism and design of BpAbs to adopt a 1:1-binding mode.

biochemistry↗

bioRxiv2024

Msp1 and Pex19-Pex3 cooperate to achieve correct localization of Pex15 to peroxisomes

Yeast Msp1 is a dual-localized AAA-ATPase on the mitochondrial outer membrane (OM) and peroxisomal membrane. We previously showed that Msp1 transfers mistargeted tail-anchored (TA) proteins from mitochondria to the endoplasmic reticulum (ER) for degradation or delivery to their original destinations. However, the mechanism by which Msp1 in mitochondria and peroxisomes handles authentic peroxisomal TA proteins remains unclear. We show that newly synthesized Pex15 is targeted to peroxisomes primarily via the Pex19- and Pex3-dependent pathway. Mistargeted Pex15 on the mitochondrial OM is extracted by mitochondrial Msp1, and transferred to the ER via the guided-entry of TA proteins pathway for degradation or to peroxisomes via the Pex19-Pex3 pathway. Intriguingly, endogenous Pex15 localized in peroxisomes is also extracted from the membranes by peroxisomal Msp1, but returns to peroxisomes via the Pex19-Pex3 pathway. These results suggest that correct Pex15 localization to peroxisomes relies on not only the initial targeting by Pex19-Pex3 but also the constant re-routing by Msp1 and Pex19-Pex3.

cell biology↗

bioRxiv2024

cryoMDM; Molecular simulation Driven structural Matching Approach to Estimate Variety of Atomic Three-dimensional Model Based on Noisy cryoEM Single Particle Images.

Understanding the structure of biomolecules is essential for comprehending life phenomena. In recent years, cryo-electron microscopy (cryoEM) single-particle structure analysis has made remarkable advancements. The single-particle images obtained from cryoEM measurements have a poor signal-to-noise ratio, and existing methods rely on multi-image analysis, which averages multiple measurement data to achieve high-resolution structures. However, this multi-image approach statistically processes several measurement images, causing the unique structural features of individual data to be lost. To overcome this inherent challenge, we developed a molecular simulation-driven structural matching method, cryoMDM, which identifies the plausible structure for cryoEM two-dimensional images from a vast number of three-dimensional (3D) structural model candidates generated through molecular simulations. The innovative aspect of this method is that it enables the estimation of 3D atomic models from a single-particle image, going beyond merely generating a 3D electron density map. By linking each cryoEM particle image to a 3D structure in the simulation space, we can directly connect cryoEM measurement data to continuous structural changes in biomolecules. Applying this method to the spike protein derived from SARS-CoV-2, we successfully captured various intermediate structures of the spike protein, revealing critical information about the early stages of viral entry.

biophysics↗

bioRxiv2024

Functional genomics reveals the mechanism of hypoxic adaptation in nontuberculous mycobacteria

Mycobacterium intracellulare is a major etiological agent of the recently expanding Mycobacterium avium-intracellulare complex pulmonary disease (MAC-PD). Therapeutic regimens that include a combination of macrolides and antituberculous drugs have been implemented with limited success. To identify novel targets for drug development that accommodate the genomic diversity of M. avium-intracellulare, we subjected eight clinical MAC-PD isolates and the type strain ATCC13950 to genome-wide profiling to comprehensively identify universally essential functions by transposon sequencing (TnSeq). Among these strains, we identified 131 shared essential or growth-defect-associated genes by TnSeq. Unlike the type strain, the clinical strains showed increased requirements for genes involved in gluconeogenesis and the type VII secretion system under standard growth conditions, the same genes required for hypoxic pellicle-type biofilm formation in ATCC13950. Consistent with the central role of hypoxia in the evolution of M. intracellulare, the clinical MAC-PD strains showed more rapid adaptation to hypoxic growth than the type strain. Importantly, the increased requirements of hypoxic fitness genes were confirmed in a mouse lung infection model. These findings confirm the concordant genetic requirements under hypoxic conditions in vitro and hypoxia-related conditions in vivo, and highlight the importance of using clinical strains and host-relevant growth conditions to identify high-value targets for drug development.

microbiology↗

bioRxiv2024

Glutathione supersulphide regulates T-cell receptor signalling

Immunometabolism regulates functions and fates of immune cells including T cells. Supersulphides, which are universal metabolites containing catenated sulphur atoms, have various physiological functions based on their unique redox properties. Here we found that activation of T-cell receptor (TCR) signalling was accompanied by supersulphide decrease, which suggests a regulatory contribution of sulphur metabolism to immune function. Consistently, inhibiting supersulphide synthesis facilitated TCR activation and exacerbated allergen-induced type 2 inflammation in mice. Supplementation with glutathione trisulphide (GSSSG), a major endogenous supersulphide, suppressed TCR signalling in naive CD4+ T cells and their differentiation and effectively alleviated the inflammation. Docking simulation revealed interaction of GSSSG with CD3{varepsilon} chain in the TCR/CD3 complex, which was supported by mass spectrometry detection of persulphidated glutathionylation at a functionally important CXXC motif of CD3{varepsilon} chain. This study identified a new post-translational modification with supersulfides and demonstrated a critical contribution of sulphur metabolism to TCR signalling regulation.

biochemistry↗

bioRxiv2024

Molecular dynamics unveils multiple-site binding of inhibitors with reduced activity on the surface of dihydrofolate reductase

The sensitivity to protein inhibitors is altered by modifications or protein mutations, as represented by drug resistance. The mode of stable drug binding to the protein pocket has been experimentally clarified. However, the nature of the binding of inhibitors with reduced sensitivity remains unclear at the atomic level. In this study, we analyzed the thermodynamics and kinetics of inhibitor binding to the surface of wild-type and mutant dihydrofolate reductase (DHFR) using molecular dynamics simulations combined with Markov state modeling. A strong inhibitor of methotrexate (MTX) showed a preference for the active site of wild-type DHFR with minimal binding to unrelated (secondary) sites. Deletion of a side-chain fragment in MTX largely destabilized the active site-bound state, with clear evidence of binding to secondary sites. Similarly, the F31V mutation in DHFR diminished the specificity of MTX binding to the active site. These results reveal the presence of multiple-bound states whose stabilities are comparable to or higher than those of the unbound state, suggesting that a reduction in the binding affinity for the active site significantly elevates the fractions of these states. This study sheds light on the specific drug recognition by proteins and the selectivity of drug binding sites on protein surfaces. (199 words)

biophysics↗

bioRxiv2024

A Microphysiological HHT-on-a-Chip Platform Recapitulates Patient Vascular Lesions

Hereditary Hemorrhagic Telangiectasia (HHT) is a rare congenital disease in which fragile vascular malformations focally develop in multiple organs. These can be small (telangiectasias) or large (arteriovenous malformations, AVMs) and may rupture leading to frequent, uncontrolled bleeding. There are few treatment options and no cure for HHT. Most HHT patients are heterozygous for loss-of-function mutations for Endoglin (ENG) or Alk1 (ACVRL1), however, why loss of these genes manifests as vascular malformations remains poorly understood. To complement ongoing work in animal models, we have developed a microphysiological system model of HHT. Based on our existing vessel-on-a-chip (VMO) platform, our fully human cell-based HHT-VMO recapitulates HHT patient vascular lesions. Using inducible ACVRL1 (Alk1)-knockdown, we control timing and extent of endogenous Alk1 expression in primary human endothelial cells (EC) in the HHT-VMO. HHT-VMO vascular lesions develop over several days, and are dependent upon timing of Alk1 knockdown. Interestingly, in chimera experiments AVM-like lesions can be comprised of both Alk1-intact and Alk1-deficient EC, suggesting possible cell non-autonomous effects. Single cell RNA sequencing data are consistent with microvessel pruning/regression as contributing to AVM formation, while loss of PDGFB expression implicates mural cell recruitment. Finally, lesion formation is blocked by the VEGFR inhibitor pazopanib, mirroring the positive effects of this drug in patients. In summary, we have developed a novel HHT-on-a-chip model that faithfully reproduces HHT patient lesions and that is sensitive to a treatment effective in patients. The VMO-HHT can be used to better understand HHT disease biology and identify potential new HHT drugs. SignificanceThis manuscript describes development of an organ-on-a-chip model of Hereditary Hemorrhagic Telangiectasia (HHT), a rare genetic disease involving development of vascular malformations. Our VMO-HHT model produces vascular malformations similar to those seen in human HHT patients, including small (telangiectasias) and large (arteriovenous malformations) lesions. We show that VMO-HHT lesions are sensitive to a drug, pazopanib, that appears to be effective in HHT human patients. We further use the VMO-HHT platform to demonstrate that there is a critical window during vessel formation in which the HHT gene, Alk1, is required to prevent vascular malformation. Lastly, we show that lesions in the VMO-HHT model are comprised of both Alk1-deficient and Alk1-intact endothelial cells.

cell biology↗

bioRxiv2024

Evolution of Tn4371 family ICE; traR mediated coordination of cargo gene upregulation and horizontal transfer

ICEKKS102Tn4677, which has been shown to transfer horizontally, carries bph operon for mineralization of PCBs/biphenyl and belongs to an ICE Tn4371 family. In this study we investigated the role of traR gene encoding a LysR-type transcriptional regulator, which is conserved in sequence, positioning, and directional orientation among Tn4371 family ICEs. The traR belonged to bph operon and its overexpression on solid medium resulted in modest upregulation of traG (3-fold) and marked upregulation of xis (80-fold), and enhanced ICE excision, and notably ICE transfer frequency. We propose the evolutional roles of traR, which upon insertion to the current position, connected the cargo gene activation and ICE-transfer. This property of ICE, transferring under environmental conditions that lead to cargo gene activation, would give fitness advantages to the host bacteria, thereby resulting in efficient dissemination of the Tn4371 family ICEs. SignificanceOnly ICEKKS102Tn4677 is proven to transfer among the widely disseminating Tn4371 family ICEs from {beta} and {gamma}-proteobacteria. We showed that the traR gene in ICEKKS102Tn4677 conserved in the ICE family with fixed location and direction is co-transcribed with the cargo gene and activates ICE transfer. We propose that capturing of traR by an ancestral ICE to the current position established ICE Tn4371 family ICEs. Our findings provide insights into the evolutionary processes that led to the widespread distribution of the Tn4371 family of ICEs across bacterial species.

molecular biology↗

bioRxiv2024

ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction

Deep learning-based compound-protein interaction (CPI) prediction models are promising in the field of molecular biology, particularly for facilitating the drug discovery process. In practical applications, CPI models should achieve a high generalization performance, quantify prediction confidence, and ensure explainability. Here, we propose ChemGLaM, a chemical genomics language model for reliable and explainable CPI predictions, by addressing these three crucial aspects. ChemGLaM integrates independently pre-trained chemical and protein language models through an interaction block with a cross-attention mechanism, achieving state-of-the-art performance in predicting novel CPIs. Incorporating uncertainty estimation and attention visualization enables ChemGLaM to enhance the success rate of virtual screening and to provide molecular insights into CPIs. Furthermore, we demonstrate its practical applicability by constructing a public database for large-scale CPI predictions and enabling drug/target exploration for candidate treatment of amyotrophic lateral sclerosis (ALS). ChemGLaM represents a significant step toward overcoming the challenges of AI-driven drug discovery and addressing unmet medical needs.

bioinformatics↗

bioRxiv2023

Highly efficient transgenic mouse production using piggyBac and its application to rapid phenotyping at the founder generation

Pronuclear microinjection is the most popular method for producing transgenic (Tg) animals. Because the production efficiency is typically less than 20%, phenotypic characterization of Tg animals is generally performed on the next generation (F1) onwards. However, apart from in rodents, in many animal species with long generation times, it is desirable to perform phenotyping in the founder (F0) generation. In this study, we attempted to optimize a method of Tg mouse production to achieve higher Tg production efficiency using piggyBac transposon systems and established optimal conditions under which almost all individuals in the F0 generation were Tg. We also succeeded in generating bacterial artificial chromosome Tg mice with efficiency of approximately 70%. By combining this method with genome editing technology, we established a new strategy to perform phenotyping of mice with tissue-specific knockout using the F0 generation. Taking the obtained findings together, by using this method, experimental research using Tg animals can be carried out more efficiently.

bioengineering↗

bioRxiv2022

Mimicking seasonal changes in light-dark cycle and ambient temperature modulates gut microbiome in mice under the same dietary regimen

To better adapt to seasonal environmental changes, physiological processes and behaviors are regulated seasonally. The gut microbiome interacts with the physiology, behavior, and even the diseases of host animals, including humans and livestock. Seasonal changes in gut microbiome composition have been reported in several species under natural environments. Dietary content significantly affects the composition of the microbiome, and, in the natural environment, the diet varies between different seasons. Therefore, understanding the seasonal regulatory mechanisms of the gut microbiome is important for understanding the seasonal adaptation strategies of animals. Herein, we examined the effects of changing day length and temperature, which mimic summer and winter conditions, on the gut microbiome of laboratory mice. Principal coordinate analysis and analysis of the composition of microbiomes of 16S rRNA sequencing data demonstrated that the microbiomes of the cecum and large intestine showed significant differences between summer and winter mimicking conditions. Similar to previous studies, a daily rhythm was observed in the composition of the microbiome. Furthermore, the phylogenetic investigation of communities by reconstruction of unobserved states predicted seasonal changes in several metabolic pathways. Changing day length and temperature can affect the composition of the gut microbiome without changing dietary contents.

physiology↗

bioRxiv2022

Plap-1/Aspn lineage tracing and single-cell transcriptomics reveals cellular dynamics in the periodontal ligament

Periodontal tissue supports teeth in the alveolar bone socket via fibrous attachment of the periodontal ligament (PDL). The PDL contains periodontal fibroblasts and stem/progenitor cells, collectively known as PDL cells (PDLCs), on top of osteoblasts and cementoblasts on the surface of alveolar bone and cementum, respectively. However, the characteristics and lineage hierarchy of each cell type remain poorly defined. This study identified periodontal ligament associated Protein-1 (Plap-1/Aspn) as a PDL-specific extracellular matrix. We generated knock-in mice expressing CreERT2 and GFP specifically in Plap-1-positive PDLCs. Genetic lineage tracing confirmed the long-standing hypothesis that PDLCs differentiated into osteoblasts and cementoblasts. A PDL single-cell atlas defined cementoblasts and osteoblasts as Plap-1-Ibsp+Sparcl1+ and Plap-1-Ibsp+Col11a2+, respectively. Other populations such as Nes+ mural cells, S100B+ Schwann cells, and other non-stromal cells were also identified. RNA velocity analysis suggested that Plap-1highLy6a+ cell population was the source of PDLCs. Lineage tracing of Plap-1+ PDLCs during the periodontal injury model showed periodontal tissue regeneration by PDLCs. Our study defines diverse cell populations in PDL and clarifies the role of PDLCs in periodontal tissue homeostasis and repair.

developmental biology↗

bioRxiv2022

Genome-wide analysis of R2R3-MYB transcription factors in Japanese morning glory

The R2R3-MYB transcription factor is one of the largest transcription factor families in plants. R2R3-MYBs play a variety of functions in plants, such as cell fate determination, organ and tissue differentiations, primary and secondary metabolisms, stress and defense responses and other physiological processes. The Japanese morning glory (Ipomoea nil) has been widely used as a model plant for flowering and morphological studies. In the present study, 126 R2R3-MYB genes were identified in the Japanese morning glory genome. Information, including gene structure, protein motif, chromosomal location and gene expression, were assigned to the InR2R3-MYBs. Phylogenetic tree analysis revealed that the 126 InR2R3-MYBs were classified into 29 subfamilies (C1-C29). Herein, physiological functions of the InR2R3-MYBs are discussed based on the functions of their Arabidopsis orthologues. InR2R3-MYBs in C9, C15, C16 or C28 may regulate cell division, flavonol biosynthesis, anthocyanin biosynthesis or response to abiotic stress, respectively. C16 harbors the known anthocyanin biosynthesis regulator, InMYB1 (INIL00g10723), and putative anthocyanin biosynthesis regulators, InMYB2 (INIL05g09650) and InMYB3 (INIL05g09651). In addition, INIL05g09649, INIL11g40874 and INIL11g40875 in C16 were suggested as novel anthocyanin biosynthesis regulators. We organized the R2R3-MYB transcription factors in the morning glory genome and assigned information to gene and protein structures and presuming their functions. Our study is expected to facilitate future research on R2R3-MYB transcription factors in Japanese morning glory.

plant biology↗

bioRxiv2022

Sleep state-dependent modulations of hippocampal theta oscillations and sharp wave-ripples by pontine waves

Ponto-geniculo-occipital (PGO) or pontine (P) waves have long been recognized as an electrophysiological signature of rapid eye movement (REM) sleep. However, P-waves can be observed not just during REM sleep, but also during non-REM (NREM) sleep. Recent studies have uncovered that P-waves are functionally coupled with hippocampal sharp wave-ripples (SWRs) during NREM sleep. However, it remains unclear to what extent P-waves during NREM sleep share their characteristics with P-waves during REM sleep and how the functional coupling to P-waves modulates SWRs. Here, we address these issues by performing multiple types of electrophysiological recordings and fiber photometry in both sexes of mice. P-waves during NREM sleep share their waveform shapes and local neural ensemble dynamics at a short ([~]100 ms) timescale with their REM sleep counterparts. However, the dynamics of mesopontine cholinergic neurons are distinct at a longer ([~]10 s) timescale: although P-waves are accompanied by cholinergic transients, the cholinergic tone gradually reduces before P-wave genesis during NREM sleep. While P-waves are coupled to hippocampal theta rhythms during REM sleep, P-waves during NREM sleep are accompanied by a rapid reduction in hippocampal ripple power. SWRs coupled with P-waves are short-lived and hippocampal neural firing is also reduced after P-waves. These results demonstrate that P-waves are part of coordinated sleep-related activity by functionally coupling with hippocampal ensembles in a state-dependent manner.

neuroscience↗