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Ozaki, N.

Publications and source records attributed to Ozaki, N..

9 recordsLinked to original sources

Distinct effects of nonselective Rho-kinase inhibitor fasudil and selective Rho-kinase 2 inhibitor KD025 on serotonin and dopamine release in the nucleus accumbens of mice

Recent studies have indicated that the Rho GTPase family and Rho-kinases are associated with psychiatric diseases, such as schizophrenia. Rho-kinases have two subtypes, Rho-kinases 1 and 2 that regulate actin dynamics and mediate neurite outgrowth, spine morphology in neurons, and neurotransmitter release in vitro and ex vivo. However, the precise role of Rho-kinases in neurotransmitter release in vivo remains unclear. To clarify the role of Rho-kinases 1 and 2 in serotonin and dopamine release in the nucleus accumbens (NAc) of mice in vivo, we investigated the effect of a nonselective Rho-kinase inhibitor, fasudil, and a selective Rho-kinase 2 inhibitor, KD025, using an in vivo microdialysis technique. Fasudil perfusion (1-20 M) into the NAc increased the basal extracellular serotonin level but did not affect dopamine levels, whereas KD025 (10-20 M) had little effect on basal serotonin and dopamine levels. Notably, fasudil perfusion into the NAc suppressed depolarization-induced serotonin and dopamine release in a dose-dependent manner, whereas KD025 selectively suppressed depolarization-induced serotonin release. Our results suggested that Rho-kinases 1 and 2 are associated with dopamine and serotonin release, respectively, and that both may have significant but distinct roles in the regulation of serotonin and dopamine release in the NAc.

neuroscience↗

Twinfilin-1 phosphorylation in reelin signaling regulates actin dynamics and spine development

Reelin is an extracellular glycoprotein essential for neuronal migration, spine development, and synaptic plasticity. Impaired reelin signaling is linked to neurological disorders, including schizophrenia and autism. While reelin mutant (reeler) mice exhibit behavioral deficits associated with impaired spine formation, the underlying molecular mechanisms remain unclear. We identified Twinfilin-1 (Twf1) as a downstream effector of reelin signaling via phosphoproteomic analysis, based on its reduced tyrosine phosphorylation in reeler mice. We found that Src regulated Twf1 phosphorylation at tyrosine 309, and reelin stimulation increased Twf1 phosphorylation in neurons, an effect blocked by the Src inhibitor PP2. A phospho-resistant Twf1 mutant (Twf1 Y309F) showed reduced capping protein binding and a lower F/G-actin ratio. Twf1Y309F mice exhibited cognitive deficits, reduced spine density, smaller spine head size, and a decreased F/G-actin ratio in synaptosomes. These findings highlight Twf1 phosphorylation as a key component of reelin signaling involved in actin remodeling and spine development.

neuroscience↗

MeCP2 controls dendritic morphogenesis via miR-199a-mediated Qki downregulation

Rett syndrome (RTT) (OMIM: 312750) is a severe neurodevelopmental disorder caused by mutations in the MECP2 gene. Although decreased dendritic morphogenesis has been observed in the brain of RTT patients and mouse models, the molecular mechanisms underlying these dendritic anomalies remain unclear. We have previously shown that MeCP2 facilitates specific microRNA (miRNA) processing by associating with the miRNA microprocessor Drosha complex. In this study, we show that MeCP2 positively regulates dendritic formation via miR-199a, a specific target of the MeCP2-Drosha complex. Overexpression of MeCP2 and miR-199a promotes dendritic development such as increases in dendrite length, branching number, and complexity. In contrast, blocking miR-199a inhibited dendrite formation and abolished enhanced dendritic development induced by MeCP2 expression. We also demonstrate that the decreased dendrite outgrowth observed in MeCP2-deficient neurons could be rescued by miR-199a expression. In addition, we found that miR-199a targets the 3 untranslated region of quaking (Qki), a negative regulator of dendritic development, and downregulates its protein expression level. Furthermore, we report an increase in the Qki protein expression level in miR-199a-2-deficient brains and show that Qki knockdown restores the dendritic morphology of miR-199a-2-Knockout (KO) neurons. Taken together, these results suggest that the MeCP2/miR-199a/Qki axis is critical for proper dendritic development and its dysregulation contributes to the dendritic pathology in RTT.

neuroscience↗

Dynamic change of calcium-rich compartments during coccolithophore biomineralization

Coccolithophores are abundant marine phytoplankton that produce biomineralized calcite scales, called coccoliths, which sequester substantial amounts of carbon and play a significant role in biogeochemical cycles. However, mechanisms underlying the storage and transport of ions essential for calcification remain unresolved. We used ptychographic X-ray computed tomography under cryogenic conditions to visualize intracellular calcium-rich structures involved in the storage of calcium ions in the coccolithophore species Chrysotila carterae. During calcification, we observed a range of structures, from small electron-dense bodies within larger compartments, to denser and distributed globular compartments, before returning to small bodies once scale formation is complete. Nanobeam-scanning X-ray fluorescence measurements further revealed these electron-dense bodies are rich in P and Ca (molar ratio of [~]4:1). We infer from the dynamic nature of structures that these bodies are part of required cellular calcium ion transport pathways, a fundamental process critical for understanding the response of coccolithophores to climate change.

cell biology↗

Antipsychotic-like effects of the selective Rho-kinase 2 inhibitor KD025 in genetic and pharmacological mouse models of schizophrenia

1Copy number variations in the ARHGAP10 gene encoding Rho GTPase-activating protein 10 are significantly associated with schizophrenia. ARHGAP10 negatively regulates RhoA/Rho-kinase (ROCK) signaling. We previously demonstrated that fasudil, a non-selective ROCK inhibitor, exhibited antipsychotic-like effects in several mouse models of schizophrenia. ROCK has two subtypes, ROCK1 and ROCK2. ROCK1 is mainly expressed in the thymus and blood, while ROCK2 is predominantly expressed in the brain. Therefore, it is expected that like fasudil, selective ROCK2 inhibitors will exhibit antipsychotic-like effects, accompanied by a lower incidence of adverse effects due to ROCK1 inhibition. Here, we used genetic and pharmacological models of schizophrenia to investigate whether the selective ROCK2 inhibitor KD025 would show antipsychotic-like effects with a favorable adverse effect profile. Oral administration of KD025 suppressed the abnormal increase in the phosphorylation level of myosin phosphatase-targeting subunit 1, a substrate of ROCK, and ameliorated the decreased spine density of layer 2/3 pyramidal neurons in the medial prefrontal cortex of Arhgap10 S490P/NHEJ mice. Furthermore, KD025 mitigated the methamphetamine-induced impairment of visual discrimination (VD) in Arhgap10 S490P/NHEJ and wild-type mice. KD025 also reduced MK-801-induced impairments of VD, novel object recognition, and hyperlocomotion. Regarding side effects that are commonly seen with typical antipsychotics, KD025 did not affect systolic blood pressure and did not induce extrapyramidal symptoms, hyperprolactinemia, or hyperglycemia at the effective dosage in naive wild-type mice. Taken together, KD025 shows antipsychotic-like effects with a favorable adverse effect profile in genetic and pharmacological mouse models of schizophrenia.

pharmacology and toxicology↗

Inferring extrinsic factor-dependent single-cell transcriptome dynamics using a deep generative model

1RNA velocity estimation helps elucidate temporal changes in the single-cell transcriptome. However, current methodologies for inferring single-cell transcriptome dynamics ignore extrinsic factors, such as experimental conditions and neighboring cell. Here, we propose ExDyn--a deep generative model integrated with splicing kinetics for estimating cell state dynamics dependent on extrinsic factors. ExDyn enables the counterfactual inference of cell state dynamics under different conditions. Among the extrinsic factors, ExDyn can extract key features which have large effects on cell state dynamics. ExDyn correctly estimated the difference in dynamics between two conditions and showed better accuracy over existing RNA velocity methods. ExDyn were utilized for unveiling the effect of PERK-knockout on neurosphere differentiation, hematopoietic stem cell differentiation driven by chromatin activity and the dynamics of squamous cell carcinoma cells dependent on colocalized neighboring cells. These results demonstrated that ExDyn is useful for analyzing key features in the dynamic generation of heterogeneous cell populations.

bioinformatics↗

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↗

Genome Wide Study of Tardive Dyskinesia in Schizophrenia

Tardive dyskinesia (TD) is a severe condition characterized by repetitive involuntary movement of orofacial regions and extremities. Patients treated with antipsychotics typically present with TD symptomatology. Here, we conducted the largest GWAS of TD to date, by meta-analyzing samples of East-Asian, European, and African-American ancestry, followed by analyses of biological pathways and polygenic risk with related phenotypes. We identified a novel locus and three suggestive loci, implicating immune-related pathways. Through integrating trans-ethnic fine-mapping, we identified putative credible causal variants for three of the loci. Multivariate analyses of polygenic risk for TD supports the genetic susceptibility of TD, with relatively lower allele frequencies variants being associated with TD, beyond that of antipsychotic medication. Together, these findings provide new insights into the genetic architecture and biology of TD.

genomics↗

A Network of Networks Approach for Modeling Interconnected Brain Tissue-Specific Networks

MotivationRecent sequence-based analyses have identified a lot of gene variants that may contribute to neurogenetic disorders such as autism spectrum disorder and schizophrenia. Several state-of-the-art network-based analyses have been proposed for mechanical understanding of genetic variants in neurogenetic disorders. However, these methods were mainly designed for modeling and analyzing single networks that do not interact with or depend on other networks, and thus cannot capture the properties between interdependent systems in brain-specific tissues, circuits, and regions which are connected each other and affect behavior and cognitive processes.\n\nResultsWe introduce a novel and efficient framework, called a \"Network of Networks\" (NoN) approach, to infer the interconnectivity structure between multiple networks where the response and the predictor variables are topological information matrices of given networks. We also propose Graph-Oriented SParsE Learning (GOSPEL), a new sparse structural learning algorithm for network graph data to identify a subset of the topological information matrices of the predictors related to the response. We demonstrate on simulated data that GOSPEL outperforms existing kernel-based algorithms in terms of F-measure. On real data from human brain region-specific functional networks associated with the autism risk genes, we show that the NoN model provides insights on the autism-associated interconnectivity structure between functional interaction networks and a comprehensive understanding of the genetic basis of autism across diverse regions of the brain.\n\nAvailabilityOur software is available from https://github.com/infinite-point/GOSPEL.\n\nContactkawakubo@med.nagoya-u.ac.jp, shimamura@med.nagoya-u.ac.jp\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

systems biology↗