Biology subjects

Shimizu, S.

Publications and source records attributed to Shimizu, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Partitioning of nuclear material into apoptotic fragments through establishment of asymmetric cell death morphology

Cellular material in apoptotic cells must be efficiently cleared by phagocytes to maintain tissue homeostasis. Defects in this process can lead to the onset of secondary necrosis and the release of intracellular contents such as damage associated molecular patterns (DAMPs) and autoantigens that are often derived from the nucleus. Therefore, appropriate handling and clearance of apoptotic material is vital to prevent unwanted inflammatory response and the onset of autoimmune disorders. However, how nuclear material is packaged by apoptotic cells for effective clearance by phagocytes is not well understood. By utilising murine models of apoptosis, we observed that a distinct subset of large extracellular vesicles generated from apoptotic thymocytes, known as apoptotic bodies (ApoBDs), can harbour the majority of nuclear contents. Mechanistically, we discovered that apoptotic cells can asymmetrically partition the nucleus into a single large membrane bleb located at one side of the cell, with other cellular contents such as mitochondria and acid organelles distributed to the opposite side. Whilst this newly observed apoptotic morphology, coined as asymmetric cell death morphology (AsyCDM), is morphologically similar to the process of erythroblast enucleation, pharmacological compounds that could interfere with erythroblast enucleation did not block the establishment of AsyCDM during apoptosis. Notably, AsyCDM was reliant on the contractile forces generated by ROCK1-dependent plasma membrane blebbing. Taken together, this study suggests that intracellular contents are partitioned into different ApoBD subsets during apoptosis through a regulated process driven by ROCK1-dependent actomyosin contraction.

cell biology↗

bioRxiv2026

Biogenesis and antigen presentation properties of dendritic cell-derived apoptotic bodies

Dendritic cells (DCs) are an important type of antigen presentation cell that regulate immunity by initiating antigen-specific immunity and tolerance through T cell activation. The interaction between DCs and T cells can be mediated through direct cell-cell contact or via the release of extracellular vesicles (EVs) from DCs that harbour antigen presentation machineries. Although small EVs (<200 nm in diameter) such as exosomes released by DCs have been shown to regulate immunity, whether other EV subtypes, in particular those that are released by dying DCs due to homeostatic turnover or following infection, can modulate immune responses is not defined. In this study, we demonstrated that DCs undergoing apoptosis can generate a subclass of large EVs ([~]1,000-5,000 nm in diameter) known as apoptotic bodies (ApoBDs) via distinct morphological steps. Mechanistically, ApoBD formation by apoptotic DCs is regulated by Rho-associated kinase 1 and T-type calcium channels. Functionally, DC-derived ApoBDs were found to mediate direct antigen presentation. These data demonstrate a novel function of ApoBDs and highlight the ability of apoptotic materials derived from dying DCs to continue mediating intercellular communication and regulating immune responses.

cell biology↗

bioRxiv2026

EMPAC: A Multimodal Dataset for Bridging Affective and Cognitive Empathy

Empathy, a key element of social interaction, involves both cognitive and affective processes and is commonly investigated through measures such as empathic accuracy and affective physiological synchrony. While physiological synchrony offers a continuous measure of affective processes, empathic accuracy typically relies on discrete self-reports, leaving their temporal relationship largely unexplored. Advancing this line of research requires datasets that integrate time-continuous self-reports with physiological signals, yet such datasets--particularly those focusing on the empathizee--remain limited. To fill this gap, we present EMPAC (Empathy Measurement: Physiological, Affective, and Cognitive), a multimodal dataset constructed. To create empathy-eliciting stimuli, professional actors performed emotionally intense, pseudo-autobiographical narratives while their physiological signals (e.g., ECG, EDA) and continuous self-reported emotional states were recorded. We then conducted two observer experiments using these video recordings. In Experiment 1, to validate the stimuli as empathy-eliciting materials, observers continuously rated emotional intensity without being informed of the specific emotion portrayed, following the protocol of previous studies on time-series empathic accuracy. Yet this approach sometimes revealed a gap between the emotion category portrayed by the target and that perceived by the observers. In Experiment 2, we introduced a revised procedure in which the target emotion category was disclosed prior to viewing, revealing that specifying the target emotion led to a different relationship between individual empathy traits and empathic accuracy than observed in Experiment 1. EMPAC thus provides a rich, temporally aligned resource for investigating empathy dynamics in naturalistic settings and for evaluating methodological variations in empathic accuracy paradigms.

neuroscience↗

bioRxiv2026

Causal Discovery of Synchronous Neural Oscillations based on Jacobian-informed VAR-LiNGAM

The primary objective of system neuroscience is to understand the functional mapping and its causation in the dynamics of the brain network. Some experimental and methodological studies suggest that functional modularity and its hierarchical information processing in the brain network are crucial to understanding the functional role of task-specific or state-specific information flow in the brain. However, because most of the established techniques for detecting effective network structures in the neuroscience research field are strongly based on the "Granger causality" perspective, existing causal discovery methods specified for brain network analysis cannot identify the causal hierarchy in the modular network in the brain due to spurious correlation issues and indistinguishability of causal direction under the Gaussianity of observational noise in a linear system. To address the issues, we developed a causal discovery method for synchronous neural dynamics, called the Jacobian-informed linear non-Gaussian acyclic model, "j-VAR-LiNGAM", by incorporating the information of the Jacobian matrix determined from a phase-coupled oscillator model estimated from observed neural data into the VAR-LiNGAM algorithms. The method was validated by showing that it could extract causal ordering in both synthetic data and empirical neural observed data. Moreover, by analyzing the observed neural oscillatory signals obtained from mice and humans, we confirmed that our method identified causally hierarchical structures in the brain, which aligned with the neurophysiological interpretations. These findings suggested that our proposed method can reveal the neural basis of hierarchical information processing in the brain network.

neuroscience↗

bioRxiv2026

The revised three-step detour pathway in dolichol biosynthesis is evolutionarily conserved in budding yeast

The identification of SRD5A3, a causative gene for congenital disorders of glycosylation (CDGs), together with its yeast ortholog DFG10, established the prevailing model that dolichol is synthesized from polyprenol in a single step. Subsequently, a recent discovery of DHRSX in CDG patients revised this view and led to the proposal of a three-step detour pathway for dolichol biosynthesis. However, it remains unclear whether this pathway represents a conserved mechanism or reflects evolutionary diversity in eukaryotes. Here, we identified TDA5 as a yeast ortholog of DHRSX. Deletion of TDA5 caused glycosylation defects, reduced dolichol levels, and accumulated polyprenol. All these phenotypes were rescued by expression of DHRSX, but not by DFG10 or SRD5A3. These findings show that Tda5 serves the same function as DHRSX in yeast, thereby demonstrating conservation of the three-step detour pathway in yeast and supporting a broader eukaryotic framework for dolichol biosynthesis.

cell biology↗

bioRxiv2025

Statistical Causal Discovery in Developing and Refining Adverse Outcome Pathway (AOP)

Statistical causal discovery (SCD) has the potential to advance the development and evaluation of Adverse Outcome Pathways (AOPs) by inferring causal relationships directly from data. However, ecotoxicology data often has challenges for SCD applications, such as missing data and violation of SCD algorithm assumptions. As a proof-of-concept, we applied a linear non-Gaussian acyclic model (LiNGAM), a representative SCD method, to three types of ecotoxicology datasets: (1) bivariate dose-response relationships, (2) bivariate response- response relationships, and (3) a multivariate dataset with a known causal structure. Missing data were addressed through multiple imputation followed by causal estimation using DirectLiNGAM, a direct method for estimating LiNGAM. DirectLiNGAM identified correct causal directions with high statistical reliabilities in three of four bivariate dose-response cases, even when assumptions such as linearity and non-Gaussianity were partially violated. In contrast, response-response cases did not yield a single dominant direction, likely due to the limited number of replicates. In the multivariate case, the inferred graphs closely resembled the expert-curated causal graph, achieving high recall (0.50-0.75), despite relatively low precision (0.31-0.40). These results demonstrate the utility of SCD, combined with multiple imputation, in identifying relevant key events, revealing missing links, and refining existing AOP and quantitative AOP (qAOP) models, under realistic ecotoxicological constraints. SynopsisStatistical causal discovery can advance the development of adverse outcome pathways in a data-driven manner, enabling efficient chemical risk assessment. TOC Art O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC="FIGDIR/small/672289v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@117bd64org.highwire.dtl.DTLVardef@19318cdorg.highwire.dtl.DTLVardef@414aecorg.highwire.dtl.DTLVardef@9e068e_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

MARK4 enhances stress granule formation and increases tau accumulation

Stress granules (SGs) are membrane-less organelles that are formed in response to cellular stress. SG formation protects cells against stress; however, their dysregulation and longer persistence may disrupt proteostasis. Abnormal activity of Microtubule-affinity regulating kinase 4 (MARK4) has been linked to cancer and Alzheimers disease. Here, we report that MARK4 is a component of SGs and enhances SG formation. MARK4 is found in SGs in mammalian cultured cells and primary neurons with T-cell intracellular antigen 1 (TIA1). MARK4 expression enhances SG formation induced by hydrogen peroxide. The spacer domain of MARK4 mediates its localization to SGs, and its kinase activity is required for the enhancement of SG formation. MARK4 suppresses TIA1 dimerization induced by hydrogen peroxide. Furthermore, we found that MARK4 and TIA1 synergistically promoted tau accumulation in cultured cells, and knockdown of a fly TIA1 homolog suppressed tau toxicity in a Drosophila model. These results indicate that MARK4 regulates TIA1 and SG formation and suggest that MARK4 and TIA1 synergistically contribute to tau toxicity.

cell biology↗

bioRxiv2024

Branched-chain amino acid metabolism is a crucial modulator of cellular senescence

Cellular senescence is a complex stress response that results in the permanent arrest of cell proliferation. The accumulation of senescent cells occurs during aging in living organisms, and contributes to tissue dysfunction. Although there are growing lines of evidence that various metabolic changes occur in senescent cells, the link between cellular metabolism and senescence is not yet fully understood. In this study, we demonstrate that alterations in the metabolism of branched-chain amino acids (BCAAs) play a crucial role in establishing cellular senescence. Furthermore, we identified mitochondrial BCAA transamination as a crucial step in this process. Our findings show that various types of cellular stress lead to a reduction in the expression of BCAA aminotransferase 2 (BCAT2), one of the BCAA catabolic enzymes, resulting in decreased catabolism of BCAAs and reduced synthesis of glutamate. The reduction of BCAA catabolites, together with the consequent limitation in glutathione production from glutamate, triggers cellular senescence. Furthermore, we demonstrate that a reduction in BCAT2 levels alone is sufficient to induce cellular senescence, both in cultured cells and in mice. Additionally, our results demonstrate that aging alters BCAA metabolism in both mice and humans. Our findings provide new insights into the metabolic mechanisms underlying cellular senescence, with a particular focus on the role of BCAAs.

cell biology↗

bioRxiv2024

Nobiletin, a Polymethoxyflavonoid, Activates the Desuccinylase Activity of SIRT5 and Prevents the Development of Heart Failure

Nobiletin is a natural compound useful for the prevention and treatment of several diseases. However, the precise role of nobiletin in heart failure is unclear. Nobiletin treatment prevents pressure overload- and myocardial infarction-induced heart failure. Using affinity purification of biotinylated nobiletin from rat heart cell lysates, we identified sirtuin 5 (SIRT5) as a novel nobiletin-binding protein. Nobiletin enhanced the desuccinylase activity of SIRT5 in vitro. Compared to wild-type mice, SIRT5-overexpressing transgenic mice resisted pressure overload-induced systolic dysfunction. Conversely, SIRT5 knockout disrupted the nobiletin-mediated therapeutic effects on heart failure in mice. SIRT5 desuccinylated p300 at lysine 1568 and reduced the histone acetyltransferase (HAT) activity of p300. The desuccinylated p300 mutant suppressed the phenylephrine-induced cardiomyocyte hypertrophic responses. These findings suggest that nobiletin prevents heart failure development through SIRT5-dependent inhibition of p300-HAT activity. Nobiletin, a nontoxic dietary compound, is a potential therapeutic agent for heart failure in humans.

molecular biology↗

bioRxiv2023

Intradermal Administration of Rescue Dose of Antiemetics in Chemotherapy-induced Nausea and Vomiting

Antiemetic therapy is provided to patients with cancer to prevent chemotherapy- induced nausea and vomiting (CINV), based on the emetic risk of anticancer agents. However, breakthrough CINV can occur despite appropriate antiemetic prophylaxis. It is preferable to administer the rescue dose of antiemetics in breakthrough CINV that occur at home, in a form that is immediately effective and that can be easily self- administered by the patient. In the present study, we examined and compared the blood pharmacokinetics of subcutaneous (SC) injection, a preferred route of self-injection, and intradermal (ID) injection, a less invasive route, with an aim of developing simple self- injectable rescue antiemetics. A single administration of four kinds of antiemetics via SC and ID routes in rats resulted in lower Tmax values compared with previously reported oral administration, indicating that the administration of antiemetics via ID and SC routes may be effective in providing faster antiemetic effects and to alleviate patient symptoms.

pharmacology and toxicology↗

bioRxiv2023

ULK1-regulated AMP sensing by AMPK and its application for the treatment of chronic kidney disease

AMP-activated protein kinase (AMPK) is a central kinase involved in energy homeostasis. Increased intracellular adenosine monophosphate (AMP) levels result in AMPK activation through the binding of AMP to the {gamma}-subunit of AMPK. Recently, we reported that AMP-induced AMPK activation is impaired in the kidneys in chronic kidney disease (CKD) despite an increase in the AMP/ATP ratio. However, the mechanisms by which AMP sensing is disrupted in CKD are unclear. In this study, we identified mechanisms of energy homeostasis in which Unc-51-like kinase 1 (ULK1)-dependent phosphorylation of AMPK{gamma}1 at Ser260/Thr262 promotes AMP sensitivity of AMPK. AMPK activation by AMP was impaired in Ulk1-/- mice despite an increased AMP/ATP ratio. We also demonstrated that MK8722, an allosteric AMPK activator, activates AMPK in the kidneys of a CKD mouse model via a pathway that is independent of AMP sensing. MK8722 treatment significantly attenuates the deterioration of renal function in CKD and is a potential therapeutic option in CKD therapeutics.

molecular biology↗

bioRxiv2023

Artificial Intelligence Enables the Label-Free Identification of Chronic Myeloid Leukemia Cells with Mitochondrial Morphological Alterations

Long-term tyrosine kinase inhibitor (TKI) treatment for patients with chronic myeloid leukemia (CML) causes various adverse events. Achieving a deep molecular response (DMR) is necessary for discontinuing TKIs and attaining treatment-free remission. Thus, early diagnosis is crucial as a lower DMR achievement rate has been reported in high-risk patients. Therefore, we attempted to identify CML cells using a novel technology that combines artificial intelligence (AI) with flow cytometry and investigated the basis for AI- mediated identification. Our findings indicate that BCR-ABL1-transduced cells and leukocytes from patients with CML showed significantly fragmented mitochondria and decreased mitochondrial membrane potential. Additionally, BCR-ABL1 enhanced the phosphorylation of Drp1 via the mitogen-activated protein kinase pathway, inducing mitochondrial fragmentation. Finally, the AI identified cell line models and patient leukocytes that showed mitochondrial morphological changes. Our study suggested that this AI- based technology enables the highly sensitive detection of BCR-ABL1-positive cells and early diagnosis of CML.

cancer biology↗

bioRxiv2023

Covalent Targeting of Glutamate Cysteine Ligase to Inhibit Glutathione Synthesis

Dysregulated oxidative stress plays a major role in cancer pathogenesis and some types of cancer cells are particularly vulnerable to inhibiting cellular antioxidant capacity. Glutamate-cysteine ligase (GCL) is the first and rate-limiting step in the synthesis of the major cellular antioxidant glutathione (GSH). Developing a GCL inhibitor may be an attractive therapeutic strategy for certain cancer types that are particularly sensitive to oxidative stress. In this study, we reveal a cysteine-reactive covalent ligand EN25 that covalently targets an allosteric cysteine C114 on GCLM, the modifier subunit of GCL, leading to inhibition of GCL activity, lowering of cellular GSH levels, and impaired cell viability in ARID1A-deficient cancer cells that are particularly vulnerable to glutathione depletion, but not in ARID1A-positive cancer cells. Our studies uncover a novel potential ligandable site within GCLM that can be targeted to inhibit the GSH synthesis in cancer cells to target vulnerable cancer cell types.

biochemistry↗

bioRxiv2022

Inhibition of the BMP pathway suppresses tumor growth via downregulation of EGFR in MEK/ERK-dependent colorectal cancer

The bone morphogenetic protein (BMP) pathway promotes differentiation and induces apoptosis in normal colorectal epithelial cells. However, the effect of the BMP pathway in colorectal cancer (CRC) is controversial; it can either be tumor promoting or tumor suppressing, depending on the study. In this study, we found that CRC cells reside in a BMP-rich environment based on RNA-sequencing database analysis. Suppression of BMP using a specific BMP inhibitor, LDN193189, suppresses the growth of organoids in some CRC cases. CRC organoids treated with LDN193189 exhibited a decrease in epidermal growth factor receptor, which was, at least in part, mediated by protein degradation induced by leucine-rich repeats and immunoglobulin-like domains protein 1 (LRIG1). Among CRC organoid panels from 18 different patients, suppression of organoid growth by BMP inhibition correlated with the induction of LRIG1 gene expression. Notably, knockdown of LRIG1 in organoids diminished the growth-suppressive effect of LDN193189. Furthermore, simultaneous treatment with LDN192189 and trametinib, an FDA-approved MEK inhibitor, resulted in a combination effect in both in vivo and in vitro xenograft tumor treatment in CRC organoids, which are susceptible to growth suppression by LDN193189. Taken together, the simultaneous inhibition of BMP and MEK can be a novel treatment option in CRC cases, and evaluating in vitro growth suppression and LRIG1 induction by BMP inhibition using patient-derived organoids could offer functional biomarkers for predicting potential responders.

cancer biology↗

bioRxiv2022

Structure of a monomeric photosystem I core associated with iron-stress-induced-A proteins from Anabaena sp. PCC 7120

Iron-stress-induced-A proteins (IsiAs) are expressed in cyanobacteria under iron-deficient conditions. The cyanobacterium Anabaena sp. PCC 7120 has four isiA genes; however, their binding property and functional roles in PSI are still missing. We analyzed a cryo-electron microscopy structure of a PSI-IsiA supercomplex isolated from Anabaena grown under an iron-deficient condition. The PSI-IsiA structure contains six IsiA subunits associated with the PsaA side of a PSI core monomer. Three of the six IsiA subunits are identified as IsiA1 and IsiA2. The PSI-IsiA structure lacks a PsaL subunit; instead, a C-terminal domain of IsiA2 is inserted at the position of PsaL, which inhibits the oligomerization of PSI, leading to the formation of a monomer. Furthermore, excitation-energy transfer from IsiAs to PSI appeared with a time constant of 55 ps. These findings provide novel insights into both the molecular assembly of the Anabaena IsiA family and the functional roles of IsiAs.

plant biology↗

bioRxiv2021

A Novel Mouse Wound Model for Scar Tissue Formation in Abdominal-Muscle Wall

Scar tissue formation is a result of excess healing reactions after wounding. Hypertrophic scars scarcely develop in a mouse. In the present study, we established a novel experimental model of a scar-forming wound by resecting a small portion of the abdominal wall on the lower center of the abdomen, which exposed contractive forces by the surrounding muscle tissue. As a tension-less control, a back-skin excision model was used with a splint fixed onto the excised skin edge, and granulation tissue formed on the muscle facia supported by the back skeleton. One week after the resection, initial healing reactions such as fibroblast proliferation took place in both models. However, after 21 days, lesions with collagen-rich granulation tissues forming multiple nodular/spherical-like structures developed only in the abdominal-wall model. The lesions are analogous to scar lesions in humans. Such lesions, however, did not develop in the back-skin excision model. Therefore, this animal model is unique in that fibrous scar tissues form under a physiological condition without using any artificial factors and is valuable for studying the pathogenesis and preclinical treatment of scar lesions. Summary StatementScar lesions are hardly developed in animals. We thus developed a scar lesion in mice without using any artificial factors. The model is reliable, reproducible, and valuable.

pathology↗

bioRxiv2021

Early Dynamics of Chronic Myeloid Leukemia on Nilotinib Predicts Deep Molecular Response

Chronic myeloid leukemia (CML) is a myeloproliferative disorder caused by the BCR-ABL1 tyrosine kinase1,2. ABL1-selective tyrosine kinase inhibitors (TKIs) including nilotinib have dramatically improved the prognosis of patients with CML3-7. The ultimate goal of CML treatment is likely to be TKI-free maintenance of deep molecular response (DMR), which is defined by quantitative measurement of BCR-ABL1 transcripts on the international scale (IS)8, and durable DMR is a prerequisite to reach this goal9. Thus, an algorithm to enable the early prediction of DMR achievement on TKI therapy is quite valuable. Here, we show that our mathematical framework based on a clinical trial dataset10 can accurately predict the response to frontline nilotinib. We found that our simple dynamical model can predict nilotinib response by using two common laboratory findings (observation values): IS11,12 and white blood cell (WBC) count. Furthermore, our proposed method identified patients who failed to achieve DMR with high fidelity according to the data collected only at three initial time points during nilotinib therapy. Since our model relies on the general properties of TKI response, our framework would be applicable to CML patients who receive frontline nilotinib or other TKIs in clinical practice. Significance StatementChronic myeloid leukemia (CML) is a myeloproliferative disorder caused by the BCR-ABL1 tyrosine kinase. The goal of this treatment is the sequential achievement of deep molecular response (DMR). Tyrosine kinase inhibitors (TKIs) are effective in the reduction because they inhibit CML cell proliferation. However, because of individual differences in the TKI efficacy, some patients are unable to achieve DMR, so that early prediction of DMR reachability is necessary for personalized medicine. By combining time series analysis and mathematical modeling, we developed a mathematical method that accurately predicts patients who do not achieve DMR in the early stages of TKI administration. Our prediction method gives a basis of effective personalized treatments for CML patients.

systems biology↗

bioRxiv2020

LoVIS-Seq reveals clonal dynamics of human-HSPC in humanized mice and vector integration bias

BackgroundCurrent understanding of hematopoiesis is largely derived from mouse models that are physiologically distant from humans. Humanized mice provide the most physiologically relevant small animal model to study human diseases, most notably preclinical gene-therapy studies. However, the clonal repopulation dynamics of human hematopoietic stem and progenitor cells (HSPC) in these animal models is only partially understood. Using a new clonal tracking methodology designed for small sample volumes, we aim to reveal the underlying clonal dynamics of human cell repopulation in a mouse environment. MethodsHumanized BLT (bone marrow-liver-thymus) mice were generated by transplanting lentiviral vector transduced human fetal liver HSPC (FL-HSPC) in NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) mice implanted with a piece of human fetal thymus. We developed a methodology to track vector integration sites (VIS) in a mere 25{micro}l of mouse blood for longitudinal and quantitative clonal analysis of human HSPC repopulation in mouse environment. We explored transcriptional and epigenetic features of human HSPC for possible VIS bias. Results897 HSPC clones were longitudinally tracked in BLT mice--providing a first-ever demonstration of clonal dynamics and competitive expansion of therapeutic and control vector-modified human cell populations simultaneously repopulating in the same humanized mice. The polyclonal repopulation stabilized at 19 weeks post-transplant and the contribution of the largest clone doubled within 4 weeks. Moreover, 550 ([~]60%) clones persisted over 6 weeks and were highly shared between different organs. The normal clonal profiles confirmed the safety of our gene therapy vectors. Multi-omics analysis of human FL-HSPC revealed that 54% of vector integrations in repopulating clones occurred within {+/-}1kb of H3K36me3-enriched regions. ConclusionsHuman repopulation in mice is polyclonal and stabilizes more rapidly than that previously observed in humans. VIS preference for H3K36me3 has no apparent negative effects on HSPC repopulation. Our study provides a methodology to longitudinally track clonal repopulation in small animal models extensively used for stem cell and gene-therapy research and with lentiviral vectors designed for clinical applications. Results of this study provide a framework for understanding the clonal behavior of human HPSC repopulating in a mouse environment, critical for translating results from humanized mice models to the human settings.

molecular biology↗