Biology subjects

Kuroda, K.

Publications and source records attributed to Kuroda, K..

11 recordsLinked to original sources

bioRxiv2026

CaMKII-LUZP1 signaling couples cytoskeletal acetylation and autophagy to drive neuronal plasticity

Cytoskeletal acetylation and autophagy are fundamental drivers of neuronal plasticity, yet how these pathways are coordinated across subcellular compartments remains unknown. Here, we identify LUZP1 as a signaling organizer that couples cytoskeletal acetylation to autophagy in hippocampal neurons. LUZP1 deficiency impaired neurite outgrowth and dendritic spine maturation while promoting ciliary elongation; these phenotypes were partially mirrored in neuron-specific Luzp1 knockout mice, which also showed altered locomotor behavior. Mechanistically, LUZP1 promoted neurite extension by enhancing ATAT1-dependent -tubulin acetylation while driving spine maturation and limiting ciliary growth by restraining HDAC6-dependent cortactin (CTTN) deacetylation. An acetylation-mimetic CTTN mutant rescued both spine and ciliary defects caused by LUZP1 deficiency. In parallel, blocking autophagy-dependent OFD1 degradation attenuated ciliary elongation, linking CTTN deacetylation to increased autophagy under LUZP1-deficient conditions. Finally, activated CaMKII associated with LUZP1 and selectively enhanced its interaction with HDAC6 and CTTN, coupling neuronal activity to cytoskeletal remodeling. Together, these findings identify a CaMKII-LUZP1 pathway that integrates cytoskeletal acetylation with autophagy to coordinate neuronal morphogenesis and ciliary homeostasis. HighlightsO_LILUZP1 couples cytoskeletal acetylation to autophagy in hippocampal neurons C_LIO_LILUZP1 promotes neurite extension through ATAT1-dependent -tubulin acetylation C_LIO_LILUZP1 restrains HDAC6-CTTN signaling to drive spine maturation and limit ciliary growth C_LIO_LICaMKII selectively strengthens the LUZP1-HDAC6-CTTN pathway C_LI

neuroscience↗

bioRxiv2025

A subtype of ultrasonic vocalizations during highly palatable food consumption in rats identified by machine learning-assisted classification

Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for investigating their neural basis. Ultrasonic vocalizations (USVs) in rats are modulated by various behavioral contexts and are thought to represent affective-like states. However, their diversity during palatable food consumption remains underexplored. In this study, we investigated acoustic features of USVs in male rats consuming chocolate, a highly palatable food. Using a machine-learning-assisted logistic regression model trained on spectrogram features, we identified a distinct USV subtype--the 40-kHz inverted-U type--that was selectively emitted during chocolate consumption. The emission of this subtype was tightly time-locked to chocolate feeding behavior. Systemic administration of naloxone, an opioid receptor antagonist, significantly reduced the emission of the 40-kHz inverted-U USVs during chocolate intake. These findings suggest that these USVs may reflect internal states associated with palatable feeding and are under modulation by the endogenous opioid system. Moreover, our data demonstrate the utility of machine learning for high-throughput, objective classification of USV subtypes. This framework provides a promising approach for decoding emotion-related vocal expressions in rats and highlights the potential of specific USVs as behavioral readouts for studying the neurobiology of positive emotions. Significance StatementUltrasonic vocalizations (USVs) are high-frequency calls produced by rats known to correlated with emotional and motivational states, yet their diversity and functional relevance remain underexplored. In this study, we identified a novel 40-kHz inverted-U USV subtype associated with chocolate consumption. These calls were closely tied to feeding behavior and were selectively suppressed by an opioid receptor antagonist, suggesting modulation by the brains reward system. Using machine learning-assisted classification, we established a robust method to detect these vocalizations. Our findings highlight the potential of specific USVs as non-invasive, real-time behavioral indicators of internal states, offering new tools for studying affect, reward, and communication in animal models.

neuroscience↗

bioRxiv2025

Unilateral damage to the entopeduncular nucleus causes forelimb motor dysfunction in rats

BackgroundThe entopeduncular nucleus (EP), corresponding to the human globus pallidus internal segment, is a basal ganglia output nucleus, and plays a critical role in motor control. However, the impact of EP damage on skilled motor function and the relationship between its damage in stroke, such as internal capsule hemorrhage (ICH), and motor dysfunction remains unclear. This study aimed to clarify whether EP damage causes motor dysfunction in two disease models. MethodsEP-related motor dysfunction was investigated by inducing localized unilateral EP damage in Long-Evans rats using a stereotactic kainic acid (KA) injection. Motor function was assessed using a single-pellet reaching task pre-injection and on postoperative days 2, 7, 14, 21, and 28. Immunohistochemical staining for NeuN, somatostatin (SST), and parvalbumin was conducted to quantify damage and its correlation with motor outcomes. In addition, unilateral ICH was induced via stereotactic injection of collagenase type IV, which dissolves the vascular basement membrane, into the internal capsule (IC) of Long-Evans rats. Injury sites were classified into the IC, dorsomedial region from the IC, ventral lateral region from the IC, and EP, and their volumes were measured. Measured volumes were analyzed for correlations with motor function assessments. ResultsKA-induced EP damage significantly reduced reaching success rates on postoperative day 2 compared to those in the control group (p<0.05). Immunohistochemical analysis showed that reaching success rates on day 28 positively correlated with the numbers of remaining NeuN-positive and SST-positive neurons (p<0.05). In the ICH experiment, all rats significantly reduced the success rate of the reaching task to 0% on day 2, and the success rate on day 28 correlated positively with the remaining EP volume, but not with total lesion volume. ConclusionsEP damage was strongly associated with motor impairments, highlighting its critical role in motor control and recovery.

neuroscience↗

bioRxiv2024

Comparative metagenomic analysis provides novel insights into the ecophysiology of Myxococcota in activated sludge systems

Myxobacteria, belonging to the phylum Myxococcota, are ubiquitous in soil, marine, and other environments. Recent metagenomic sequencing analysis has shown that Myxococcota are predominant in activated sludge systems; however, their ecophysiological traits remain unclear. In this study, we evaluated the potential biological functions of 46 metagenomic bins of Myxococcota reconstructed from activated sludge samples from four municipal sewage treatment plants. The results showed that most Myxococcota bins had an almost complete set of genes associated with glycolysis and the TCA cycle. Palsa-1104 and Polyangiales bins contain glycoside hydrolase GH13 and peptidase M23, which are presumably involved in the lysis of the cell wall and cellular cytoplasm, indicating that part of the Myxococcota from activated sludge can prey on other microorganisms. The previously known cell contact-dependent predatory functions of Myxococcus xanthus are conserved in the family Myxococcaceae, though not in other families. Two bins belonging to Palsa-1104 had phototrophic gene clusters, suggesting that these bins may have both heterotrophic and autotrophic metabolisms. Assessment of the social behavior of the activated sludge Myxococcota, a FruA gene, and a C-signal gene involved in the regulation of fruiting body formation were lacking in Myxococcota bins, suggesting that they are incapable of fruiting body formation. In addition, multiple bins of Myxococcota had novel secondary metabolite biosynthesis gene clusters that may be used for the predation of other bacteria in the activated sludge. Our metagenome-based analyses provide novel insights into the microbial interactions associated with Myxococcota in activated sludge ecosystems.

microbiology↗

bioRxiv2023

NMDAR Phosphoproteome Controls Synaptic Growth and Learning

In the mammalian brain, NMDA receptors (NMDARs) activation triggers a calcium-dependent signal transduction cascade resulting in postsynaptic remodeling and behavioral learning. However, the phosphoprotein signal flow through this transduction network is poorly understood. Here, we show that NMDAR-dependent phosphorylation drives the assembly of protein signaling complexes that regulate synaptic morphology and behavior. We performed large-scale phosphoproteomic analyses of protein kinase target proteins in successive layers of the signaling network in mouse striatal/accumbal slices. NMDARs activation resulted in the phosphorylation of 194 proteins, including Rho GTPase regulators. CaMKII-mediated phosphorylation of ARHGEF2 increased its RhoGEF activity, thereby activating the RhoA-Rho-kinase pathway. Subsequent phosphoproteomics of Rho-kinase revealed 221 protein targets, including SHANK3. Experimental validation revealed a pathway from NMDAR-dependent calcium influx through CaMKII, ARHGEF2, Rho-kinase, and SHANK3 to coordinate assembly of an actin-tethered postsynaptic complex of SHANK3/NMDAR/PSD95/DLGAP3 for spine growth and aversive learning. These findings show that NMDARs initiate metabolic phosphorylation for learning.

neuroscience↗

bioRxiv2023

Microscopic and metatranscriptomic analyses revealed unique cross-domain symbiosis between Candidatus Patescibacteria/candidate phyla radiation (CPR) and methanogenic archaea in anaerobic ecosystems

To verify the parasitic lifestyle of Candidatus Patescibacteria in the enrichment cultures derived from a methanogenic bioreactor, we applied multifaceted approaches combining cultivation, microscopy, metatranscriptomic, and protein structure prediction analyses. Cultivation experiments with the addition of exogenous methanogenic archaea with acetate, amino acids, and nucleoside monophosphates and 16S rRNA gene sequencing confirmed the increase in the relative abundance of Ca. Patescibacteria and methanogens. The predominant Ca. Patescibacteria were Ca. Yanofskybacteria and 32-520 lineages (to which belongs to class Ca. Paceibacteria) and positive linear relationships (r2 [≥] 0.70) between the relative abundance of Ca. Yanofskybacteria and Methanothrix, suggesting that the tendency of the growth rate is similar to that of the host. By fluorescence in situ hybridization (FISH) observations, the FISH signals of Methanothrix and Methanospirillum cells with Ca. Yanofskybacteria and with 32-520 lineages, respectively, were significantly lower than those of the methanogens without Ca. Patescibacteria, suggesting their parasitic interaction. The TEM and SEM observations also support parasitism in that the cell walls and plugs of these methanogens associated with submicron cells were often deformed. In particular, some Methanothrix-like filamentous cells were dented where the submicron cells were attached. Metatranscriptomic and protein structure prediction analyses identified highly expressed secreted genes from the genomes of Ca. Yanofskybacteria and 32-520, and these genes contain adhesion-related domains to the host cells. Considering the results through the combination of microscopic observations, gene expression, and computational protein modeling, we propose that the interactions between Ca. Yanofskybacteria and 32-520 belonging to class Ca. Paceibacteria and methanogenic archaea are parasitism.

microbiology↗

bioRxiv2023

Unique episymbiotic relationship between Gracilibacteria and Zoogloea in activated sludge flocs in a municipal wastewater treatment plant

Among the various bacteria present in activated sludge, uncultivated Patescibacteria (also known as the Candidate Phyla Radiation/CPR superphylum) are ubiquitous at the class or phylum level. Patescibacteria have a highly restricted metabolic capacity and are thought to be episymbiotic/endosymbiotic or predatory. However, only a limited number of Patescibacteria and their hosts have been identified. Therefore, many Patescibacteria have not been (co-)cultured and identified by fluorescence in situ hybridization (FISH) or electron microscopy. Little is known about the morphology, metabolic potential, and hosts of Gracilibacteria (formerly GN02 or BD1-5) which belong to Patescibacteria. In our previous study, we confirmed the presence of Gracilibacteria in activated sludge and successfully recovered its high-quality genome. In this study, we designed new probes to visualize members of Gracilibacteria in activated sludge and identified its host using FISH. The FISH observations revealed that Gracilibacteria, which formed loosely associated clusters, were located within dense clusters of Zoogloea, which were dominant in the activated sludge. The metagenome-assembled genomes (MAGs) of Zoogloea possessed genes related to extracellular polymeric substance (EPS) biosynthesis, floc formation, and nutrient removal, including a polyhydroxyalkanoate (PHA) accumulation pathway. The MAGs of Gracilibacteria possessed genes associated with type IV pili, competence protein EC (ComEC), and PHA degradation, which suggests that they have a Zoogloea-dependent lifestyle in activated sludge flocs. These findings clearly indicate a new symbiotic relationship between Gracilibacteria and Zoogloea, and to the best of our knowledge, this is the first study to show this interaction.

microbiology↗

bioRxiv2022

Symbiosis between Patescibacteria and Archaea discovered in wastewater-treating bioreactors

Each prokaryotic domain, Bacteria and Archaea, contains a large and diverse group of organisms characterized with ultrasmall cell size and symbiotic lifestyles - Patescibacteria (also known as Candidate Phyla Radiation/CPR) and DPANN archaea. Cultivation-based approaches have revealed that Patesibacteria and DPANN symbiotically interact with bacterial and archaeal partners/hosts respectively, but cross-domain symbiosis/parasitism has never been observed. Here, we discovered physical interaction between ultramicrobacterial Patescibacteria and methanogenic archaea using cultures from anaerobic wastewater treatment sludge. In the cultures, we observed physical attachment of ultramicrobial cells to cells resembling Methanothrix and Methanospirillum using transmission electron microscopy and successfully detected physical association of Ca. Yanofskybacteria and Methanothrix using fluorescence in situ hybridization (FISH) (other ultramicrosized bacterial cells, presumably Patescibacteria, were also observed to attach on Methanospirillum). This was further confirmed to be a symbiosis rather than simple aggregation based on the observation that most ultramicrobacterial cells attached to Methanothrix were Ca. Yanofskybacteria and positive correlation (p < 0.05) between the relative abundance of Patescibacteria lineages and methanogenic archaea (e.g., Ca. Yanofskybacteria-Methanothrix and uncultured clade 32-520-Methanospirillum). The results shed light on a novel cross-domain symbiosis and inspire potential strategies for culturing CPR/DPANN.

microbiology↗

bioRxiv2022

Collaborative workflow between pathologists and deep learning for evaluation of tumor cellularity in lung adenocarcinoma

Owing to the high demand for molecular testing, the reporting of tumor cellularity in cancer samples has become a mandatory task for pathologists. However, the pathological estimation of tumor cellularity is often inaccurate. We developed a collaborative workflow between pathologists and artificial intelligence (AI) models to evaluate tumor cellularity in lung cancer samples and prospectively applied it to routine practice. We also developed a quantitative model that we validated and tested on retrospectively analyzed cases and ran the model prospectively in a collaborative workflow where pathologists could access the AI results and apply adjustments (Adjusted-Score). The Adjusted-Scores were validated by comparing them with the ground truth established by manual annotation of hematoxylin-eosin slides with reference to immunostains with thyroid transcription factor-1 and napsin A. For training, validation, retrospective testing, and prospective application of the model, we used 40, 10, 50, and 151 whole slide images, respectively. The sensitivity and specificity of tumor segmentation were 97% and 87%, and the accuracy of nuclei recognition was 99%. Pathologists altered the initial scores in 87% of the cases after referring to the AI results and found that the scores became more precise after collaborating with AI. For validation of Adjusted-Score, we found the Adjusted-Score was significantly closer to the ground truth than non-AI-aided estimates (p<0.05). Thus, an AI-based model was successfully implemented into the routine practice of pathological investigations. The proposed model for tumor cell counting efficiently supported the pathologists to improve the prediction of tumor cellularity for genetic tests.

pathology↗

bioRxiv2022

Identification of domestic cat hepadnavirus from a cat blood sample in Japan

The hepatitis B virus (Hepadnaviridae) induces chronic hepatitis and hepatic cancer in humans. A novel domestic cat hepadnavirus (DCH) was recently identified in several countries, however, the DCH infection status of cats in Japan is unknown. Therefore, we investigated the DCH infection rate of 139 cat samples collected in Japan. We identified one positive blood sample (0.78%) from a 17-year-old female cat with chronically elevated alanine aminotransferase. Phylogenetic analysis demonstrated that the DCH strain identified in this study is genetically distinct from strains in other countries. Further investigations are required to elucidate the evolution of DCH and the impact of DCH infection on hepatic diseases in domestic cats.

microbiology↗

bioRxiv2020

Towards designing globular antimicrobial peptide mimics: role of polar functional groups in biomimetic ternary antimicrobial polymers

Using atomistic molecular dynamics simulations, we study the interaction of ternary methacrylate polymers, composed of charged cationic, hydrophobic and neutral polar groups, with model bacterial membrane. Our simulation data shows that the random ternary polymers can penetrate deep into the membrane interior and partitioning of even a single polymer has a pronounced effect on the membrane structure. Lipid reorganization, on polymer binding, shows a strong affinity of the ternary polymer for anionic POPG lipids and the same is compared with the control case of binary polymers (only cationic and hydrophobic groups). While binary polymers exhibit strong propensity of acquired amphiphilic conformations upon membrane insertion, our results strongly suggest that such amphiphilic conformations are absent in the case of random ternary polymers. The ternary polymers adopt a more folded conformation, staying aligned in the direction of the membrane normal and subsequently penetrating deeper into the membrane interior suggesting a novel membrane partitioning mechanism without amphiphilic conformations. Finally, we also examine the interactions of ternary polymer aggregates with model bacterial membranes, which show that replacing some of the hydrophobic groups by polar groups leads to weakly held ternary aggregates enabling them to undergo rapid partitioning and insertion into membrane interior. Our work thus underscores the role of inclusion of polar groups into the framework of traditional binary biomimetic antimicrobial polymers and suggests different mode of partitioning into bacterial membranes, mimicking antimicrobial mechanism of globular antimicrobial peptides like Defensin.

biophysics↗