Biology subjects

Kawasaki, Y.

Publications and source records attributed to Kawasaki, Y..

10 recordsLinked to original sources

bioRxiv2026

Proximity Labeling-Assisted Flow Cytometry Improves Fluorescence Contrast in Extracellular Vesicle-Enriched Fractions

Extracellular vesicles (EVs) are potential sources of circulating biomarkers, but disease-associated EVs are often scarce and their nanoscale dimensions limit analysis by conventional flow cytometry. To improve the detection of disease-associated EV signals using widely available instruments, we developed a workflow combining preparation of serum EV-enriched fractions by size-exclusion chromatography, CHL1-initiated enzyme-mediated activation of radical sources (EMARS) proximity labeling, and conventional flow cytometry. EMARS deposits fluorescein on molecules proximal to antibody-bound CHL1, thereby increasing target-initiated fluorescence. In a representative comparison, EMARS increased the signal-to-background ratio from 1.21 with conventional antibody labeling to 6.28. Because unlabeled EVs and debris interfered with analysis, we used an AI-assisted procedure to explore FITC-H cutoffs for retained P1 events. ChatGPT compared 65 candidate cutoffs across statistical and event-retention metrics and recommended 1000; the authors reviewed the complete results before adopting this value. At this data-selected cutoff, mean fluorescence intensity was higher in interstitial lung disease (ILD) than in non-ILD samples among 28 evaluable samples (P = 0.002; area under the receiver operating characteristic curve [AUC] = 0.846); neither value was adjusted for cutoff selection. Post hoc nested leave-oneout cross-validation (LOOCV), in which cutoff selection was repeated within each outer fold, yielded an AUC of 0.716 with 29 of 34 samples evaluable. The association with ILD requires validation in independent cohorts, but these exploratory findings suggest that proximity labeling may enhance measurable fluorescence contrast in serum EV-enriched fractions and support further evaluation of disease-associated EV signals using conventional flow cytometers.

biochemistry↗

bioRxiv2025

Cryo-EM Structures of Methanogenic Schizorhodopsins Reveal Divergent Strategies for Proton Transport and Thermal Adaptation

Schizorhodopsins (SzRs) are light-driven inward proton pumps found in Asgard archaea, contrasting with most microbial rhodopsins that export protons. Some SzRs, including Methanoculleus taiwanensis SzR (MtSzR) and Methanoculleus sp. SzR (MsSzR), exhibit remarkable heat tolerance, suggesting structural adaptations to extreme environments. Here, we report cryo-electron microscopy structures of MtSzR and MsSzR at 2.4 and 2.7 [A] resolutions, respectively, revealing distinct mechanisms for proton transport and thermostability. Both proteins share a cytoplasm-facing proton acceptor, yet MtSzR employs a hydrophobic gating mechanism, whereas MsSzR lacks this barrier and stabilizes its acceptor through a salt-bridge network. Thermostability also diverges: MtSzR relies on proline-rich loops and electrostatic interactions, while MsSzR achieves stability through reinforced trimerization and extensive interhelical aromatic packing. Structural and mutational analyses highlight the adaptability of SzRs and provide a framework for engineering robust photoreceptors for optogenetics and synthetic biology.

biophysics↗

bioRxiv2025

Functional characterization of red-shifted rhodopsin channels from giant viruses explored by a machine-learning model for long-wavelength optogenetics

Channelrhodopsins (ChRs) are light-gated ion channels. These proteins are widely used in optogenetics to optically manipulate neural activity. However, manipulation using short-wavelength light to activate ChRs causes cell toxicity and is hampered by low tissue penetration. To overcome these difficulties, although several red-shifted ChR variants have been identified, further red-shift is required for more efficient and noninvasive neural control. While molecular screening of ChRs requires high-cost experiments, recent machine-learning-based protein functionality prediction enables more efficient selection of target proteins for characterization. Here, we constructed an elastic-net machine-learning model trained on 1,163 experimental data to predict the maximum absorption wavelength ({lambda}max) of uncharacterized ChRs. The model suggested several red-shifted candidates, and we identified a viral rhodopsin channel, ChR024, with the second-longest{lambda} max as a cation-conducting ChR ({lambda}max = [~]578 nm) after Chrimson ({lambda}max = [~]580 nm). This result demonstrates the high impact of ML on reducing the screening costs of functional proteins.

biophysics↗

bioRxiv2023

A novel sorting signal for RNA packaging into small extracellular vesicles

Extracellular vesicles (EVs) play a critical role in the transport of functional RNAs to target recipient cells in numerous physiological processes. The RNA profiles present in EVs differed significantly from those in the originating cells, suggesting selective and active loading of specific RNAs into EVs. Small EVs (sEVs) obtained by stepwise ultracentrifugation have been reported to contain non-sEV components. Analysis of sEVs separated from non-sEVs components revealed that microRNAs may not be released by sEVs. This has raised interest in other RNA types, such as mRNA, which may be functional molecules released by sEVs. However, the molecular mechanisms underlying selective loading of mRNA into sEVs remain unclear. Here, we show that the part of 3 untranslated region (UTR) sequence of RAB13 selectively enriches RNA in sEVs and serves as an RNA signal for loading into sEVs. Our results demonstrate that RAB13 is the most enriched RNA in sEVs, and this enrichment is primarily driven by its 3UTR sequence. These findings highlight the potential of the RAB13 3UTR sequence as an RNA signal that enables the loading of target RNA into sEVs. This technology has the potential to improve EV-based drug delivery and other applications.

cell biology↗

bioRxiv2022

Saccharibacteria harness light energy using Type-1 rhodopsins that may rely on retinal sourced from microbial hosts

Microbial rhodopsins are a family of photoreceptive membrane proteins with a wide distribution across the Tree of Life. Within the Candidate Phyla Radiation (CPR), a diverse group of putatively episymbiotic bacteria, the genetic potential to produce rhodopsins appears to be confined to a small clade of organisms from sunlit environments. Here, we characterize the metabolic context and biophysical features of Saccharibacteria Type-1 rhodopsin sequences derived from metagenomic surveys and show that these proteins function as outward proton pumps. This provides one of the only known mechanisms by which CPR can generate a proton gradient for ATP synthesis. Intriguingly, Saccharibacteria do not encode the genetic machinery to produce all-trans-retinal, the chromophore essential for rhodopsin function, but their rhodopsins are able to rapidly uptake this cofactor when provided in experimental assays. We found consistent evidence for the capacity to produce retinal from {beta}-carotene in organisms co-occurring with Saccharibacteria, and this genetic potential was dominated by Actinobacteria, which are known hosts of Saccharibacteria in other habitats. If Actinobacteria serve as hosts for Saccharibacteria in freshwater environments, exchange of retinal for use by rhodopsin may be a feature of their associations.

microbiology↗

bioRxiv2021

Aberrant localization of CDC42 C-terminal variants to the Golgi apparatus drives pyrin inflammasome-dependent autoinflammation

Mutations in the C-terminal region of the CDC42 gene cause severe neonatal-onset autoinflammation. Elevated levels of serum IL-18 in patients and effectiveness of IL-1{beta}-blocking therapy indicate that the pathology involves abnormal inflammasome activation; however, the mechanism underlying autoinflammation remains to be elucidated. Using induced-pluripotent stem cells established from patients carrying CDC42R186C, we found that patient-derived cells secreted larger amounts of IL-1{beta} in response to pyrin-activating stimuli. Aberrant palmitoylation and localization of CDC42R186C protein to the Golgi apparatus promoted pyrin inflammasome assembly downstream of pyrin dephosphorylation. Aberrant subcellular localization was the common pathological feature shared by CDC42 C-terminal variants with inflammatory phenotypes, including CDC42*192C*24 that also localizes to the Golgi apparatus. Furthermore, the level of pyrin inflammasome overactivation paralleled that of mutant protein accumulation in the Golgi apparatus, but no that of the mutant GTPase activity. These results reveal an unexpected association between CDC42 subcellular localization and pyrin inflammasome activation that could pave way for elucidating the mechanism of pyrin inflammasome formation.

immunology↗

bioRxiv2021

Evaluation of the effects of SARS-CoV-2 genetic mutations on diagnostic RT-PCR assays

Several mutant strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are emerging. Mismatch(es) in primer/probe binding regions would decrease the detection sensitivity of the PCR test, thereby affecting the results of clinical testing. In this study, we conducted an in silico survey on SARS-CoV-2 sequence variability within the binding regions of primer/probe published by the Japan National Institute of Infectious Diseases (NIID) and Centers for Disease Control and Prevention (CDC). In silico analysis revealed the presence of mutations in the primer/probe binding regions. We performed RT-PCR assays using synthetic RNAs containing the mutations and showed that some mutations significantly decreased the detection sensitivity of the RT-PCR assays. Our results highlight the importance of genomic monitoring of SARS-CoV-2 and evaluating the effects of mismatches on PCR testing sensitivity.

molecular biology↗

bioRxiv2020

APC mutant cells exploit compensatory chromosome alterations to restore tumour cell fitness

Cancer cells tolerate copy number alterations (CNAs) of genomic regions that are lethal to non-cancer cells. Certain CNAs are preferentially associated with specific cancer types and lineages, but the mechanisms underlying the emergence and selection of specific CNAs remain unclear. Adenomatous polyposis coli (APC) mutations induce mitotic errors, but their impact on tumor evolution remains elusive. We investigated APC function in cultured cells and tumors and found that its loss led to {beta}-catenin accumulation at centrosomes, suppressing its maturation through inhibition of key centrosome regulators, including Aurora kinase A (AURKA) that promotes tumor growth. These defects collectively reduced cellular fitness, leading to impaired mitotic fidelity and delayed cell cycle progression. However, in APC-mutant tumors, AURKA activity was maintained, at least in part, through the amplification of chromosomes harboring AURKA and its activator genes, yet this alone was insufficient to fully restore proliferation: aberrant chromosomal reorganization also emerged and contributed to the adaptive fitness of APC-mutant cells. Such a process of adaptive CNA selection provides a framework for understanding how specific CNAs are selected to counteract disadvantages imposed by genetic alterations during tumor progression, providing one key insight into how specific CNAs are selected in this context.

cell biology↗

bioRxiv2020

Enhanced recovery of CD9-positive extracellular vesicles from human specimens by chelating reagent

Extracellular vesicles (EVs) have gained attention as potential targets of early diagnostics and prognosis in the field of liquid biopsy. Despite clinical potentials, the best method to isolate EVs from specimens remains controversial due to low purity, low specificity, and lack of reproducibility with current isolation methods. Here we show that a chelating reagent enhances the recovery efficiency of EVs from crude biological samples by immunoprecipitation using an anti-CD9 antibody. Proteomic and western blotting analyses show that the EVs isolated using the chelating reagent contain a wider variety of proteins than those isolated with PBS.

biochemistry↗

bioRxiv2020

High-throughput Screening with Pluripotent Stem Cells Identifies CUDC-907 as an Effective Compound for Restoring the Proinflammatory Phenotype of Nakajo-Nishimura Syndrome

Nakajo-Nishimura syndrome (NNS) is an autoinflammatory disorder caused by a homozygous mutations in PSMB8 gene. The administration of systemic corticosteroids is partially effective, but continuous treatment causes severe side effects. We previously established a pluripotent stem cell (PSC)-derived NNS disease model that reproduces several inflammatory phenotypes including the overproduction of monocyte chemoattractant protein-1 (MCP-1) and interferon gamma-induced protein-10 (IP-10). Here we performed high-throughput compound screening (HTS) using this PSC-derived NNS model to find potential therapeutic candidates and identified CUDC-907 as an effective inhibitor of the release of MCP-1 and IP-10. CUDC-907 did not induce cell death within therapeutic concentrations and was also effective on primary patient cells. Further analysis indicated that the inhibitory effect was post-transcriptional. These findings suggest that HTS with PSC-derived disease models is useful for finding drug candidates for autoinflammatory diseases. Significance statementIn this study, we identified a histone deacetylase inhibitor CUDC-907 as a potential effective compound for ameliorating overproduction of inflammatory chemokines in an autoinflammatory disease named Nakajo-Nishimura syndrome. We performed high-throughput screening using pluripotent stem cell-derived monocytic cell lines. Our data prove the validity of screening system as a versatile platform for seeking candidate compounds for the treatment of congenital immunological disorders associated with monocytic lineage cells.

immunology↗