Biology subjects

Morimoto, S.

Publications and source records attributed to Morimoto, S..

16 recordsLinked to original sources

bioRxiv2026

DAP12-deficient microglia adopt a TREM2-independent antigen-presenting state with a glial-to-neuronal cascade in Nasu-Hakola disease

Nasu-Hakola disease (NHD), a dementia with about 200 cases worldwide, is caused by loss-of-function mutation of TYROBP, encoding DAP12, or its receptor TREM2. TREM2-DAP12 is the switch that converts microglia from a surveillant to a reactive state; what DAP12-deficient microglia become and to what extent they reshape their microenvironment is unknown. We profiled prefrontal cortex and hippocampus from an NHD donor and control by single-nucleus RNA sequencing and mapped the glial changes in situ by spatial transcriptomics. NHD microglia adopted a CIITA-driven, MHC class II-high antigen-presenting state with complement, iron and glycolytic programs and Fc receptors but not the TREM2-dependent lipid program. Astrocytes became pan-reactive and lost metallothionein expression, oligodendrocytes lost mature cells and cholesterol synthesis, and excitatory neurons lost presynaptic and activity programs, consistently between regions and across a published cohort. DAP12 deficiency left microglia in an antigen-presenting state short of the TREM2-dependent arm, accompanied by a glial-to-neuronal cascade.

neuroscience↗

bioRxiv2026

Chromatin landscape and epigenetic heterogeneity of acute myeloid leukemia

Acute myeloid leukemia (AML) is an aggressive hematologic cancer characterized by proliferation of immature myeloblasts. It shows profound molecular heterogeneity, which has been primarily studied through genetic abnormalities, providing the basis for disease classification, prognostication, and therapeutic choice. However, genetic factors alone may not fully explain AML pathogenesis and diversity, while leaving the role of abnormal epigenome, particularly chromatin state, largely unexplored in a large cohort of patients. Here we show that AML is classified into 16 subgroups with distinct chromatin accessibility profiles based on ATAC-seq in 1,563 AML cases, including novel AML subgroups not previously recognized in conventional genomic classifications. By integrating multi-omics analyses of genome, transcriptome, and major histone marks, we show that these epigenetic subgroups exhibit unique features in clinical presentation, gene mutations, differentiation states, gene expression, and super-enhancer profiles, which are validated across independent cohorts. Single-cell sequencing demonstrates the presence of subgroup-specific ATAC signatures that are shared by all leukemic cells, confirming the definitive role of the epigenome in the ATAC-based classification. Mechanistically, each subgroup is associated with a distinct gene regulatory network centered on key transcription factors, where subgroup-specific super-enhancers play a pivotal role. These ATAC subgroups also have prognostic significance independent of genomic classification, and help reveal unexpected drug sensitivities. In summary, ATAC-based chromatin profiling in this large sample set, combined with multi-omics data, provides new insights into AML pathogenesis beyond genomic profiling and also serves as an invaluable resource for AML research.

cancer biology↗

bioRxiv2026

Feeding ecology and ecological risks of the invasive fish Coreoperca herzi revealed by gut content DNA and environmental DNA metabarcoding

Understanding the dietary patterns of introduced predators is essential for assessing their impacts on freshwater ecosystems. Here, we investigated the feeding ecology of the invasive Korean perch (Coreoperca herzi) introduced to the Oyodo River system, Japan, by integrating gut content DNA metabarcoding and environmental DNA (eDNA) metabarcoding. Fifty specimens were collected, and prey taxa were identified using metabarcoding targeting fish, aquatic insects, and crustaceans. In parallel, eDNA metabarcoding of habitat water samples was used to assess prey availability and selectivity. The results revealed that the Korean perch prey extensively on aquatic insects and fish. Aquatic insect prey were dominated by epilithic clinger taxa inhabiting stone surfaces, particularly mayflies, suggesting visual-mediated prey selection. Fish predation was frequently detected even in small individuals (<100 mm SL), in contrast to previous studies based on conventional methods, indicating that piscivory begins early and ontogenetic dietary shifts are not pronounced. Furthermore, quantitative fish eDNA analysis showed a positive relationship between eDNA concentrations of prey species and predation frequency, indicating opportunistic feeding on abundant, size-accessible prey. By applying two metabarcoding approaches, this study provides an integrated assessment of prey utilisation and environmental context, highlighting ecological risks posed by the Korean perch to freshwater communities in Japan.

ecology↗

bioRxiv2026

Ropinirole hydrochloride mitigates oxidative stress and neuroinflammation via the PI3K-mTOR pathway in TDP-43 hiPSC-derived microglial-like cells

BackgroundAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressive motor neuron loss accompanied by neuroinflammation, oxidative stress, and impaired proteostasis, with pathological aggregation of TDP-43 as its defining hallmark. Microglia are recognized as central contributors to ALS pathogenesis, yet the mechanisms underlying their intrinsic dysfunction in the context of TDP-43 remain insufficiently characterized. MethodsWe characterized microglia-like cells (iMGLs) differentiated from isogenic TDP-43 M337V human induced pluripotent stem cell lines. We performed integrated functional assays, transcriptomic profiling and drug repurposing analysis to systematically compare mutant and control iMGLs. To assess therapeutic potential, we evaluated the effects of ROPI, a dopamine D2 receptor agonist previously advanced to clinical trials for ALS, on disease-relevant phenotypes in TDP-43 iMGLs. ResultsTDP-43M337V/M337V iMGLs presented ALS-associated abnormalities, including cytoplasmic TDP-43 accumulation with impaired phagocytosis and elevated oxidative stress, impaired autophagy and mitophagy, altered cytokine profiles, and reduced ferritin levels. Building on our previous identification of ropinirole hydrochloride as neuroprotective for ALS motor neurons, we now show that it confers therapeutic benefits in mitigating microglial pathology. ROPI treatment significantly reduced oxidative stress and caspase-3/7 activity and partially restored cytokine homeostasis in TDP-43M337V/M337V iMGLs, independent of autophagy/mitophagy modulation. Transcriptomic profiling revealed that ropinirole modulated disease-associated gene expression signatures involving protein folding, extracellular matrix organization, and oxidative stress responses. Furthermore, connectivity map-based analysis prioritized PI3K-Akt-mTOR inhibitors as candidates for reversing TDP-43 iMGL signatures, and ropinirole was found to modulate mTOR signaling. These converging lines of evidence support a mechanistic role for ropinirole in restoring microglial homeostasis via PI3K-mTOR pathway regulation. Taken together, our findings position ropinirole as a promising candidate dual action therapeutic candidate capable of targeting both neuronal and microglial dysfunction in ALS, suggesting broader applicability of ropinirole in modulating neuroinflammatory cascades across other neurodegenerative conditions. ConclusionRopinirole broadens ALS therapy from motor neurons to microglia, underscoring its promise for integrated and clinically meaningful treatment strategies.

neuroscience↗

bioRxiv2026

Predicting establishment risk of the Korean perch Coreoperca herzi in Japan using species distribution modelling: Insights for invasive fish management

Invasive freshwater fishes pose serious threats to native biodiversity and ecosystem functioning, but management resources for prevention and control are limited. The Korean perch, Coreoperca herzi, a predatory freshwater fish native to the Korean Peninsula, has recently established itself in the Oyodo and Tone River system in Japan and has begun causing serious negative impacts on the ecosystem. This study aimed to predict the spatial distribution of potential establishment risk of the Korean perch within the Japanese archipelago by using a species distribution model based on occurrence records from the native range and environmental variables. Presence records were obtained from the Global Biodiversity Information Facility and combined with hydroclimatic variables from WorldClim and HydroATLAS. A random forest algorithm modified for class-imbalanced data was employed. Model tuning and evaluation were conducted using catchment-based spatial cross-validation to enhance spatial transferability, and predictive performance was assessed using the area under the curve (AUC) and the true skill statistic (TSS). The final model achieved high predictive accuracy (AUC = 0.80; TSS = 0.56) on an independent test dataset. River discharge, river slope, and maximum summer water temperature were identified as key predictors of habitat suitability. Projection of the model onto Japanese river networks indicated that environmentally suitable habitats for Korean perch are widely distributed, particularly in mid- to upstream reaches of rivers. These results provide a spatial basis for prioritising monitoring and eradication and highlight the importance of preventive management in high-risk catchments before invasion or at early invasion stages.

ecology↗

bioRxiv2025

Assessing analysis methods of brain synchrony in social interaction: Simulation-based comparison

Inter-brain synchrony is an essential measure for investigating social interactive behaviour via hyperscanning. While functional near-infrared spectroscopy is a unique modality for measuring this index in dynamic, real-world interactions, methods to adequately assess inter-brain relationships have not been firmly established, and the overall picture remains unclear. Consequently, in this article, we first briefly summarize analysis methods for examining social interaction by dividing them into static and dynamic measures. Among these, we focus on measures of synchrony and their assessment in correlating behaviours, conducting a simulation-based comparison and analysis. Specifically, we directly compared static and dynamic variants of wavelet transform coherence (WTC), Pearsons correlation coefficient (CC), and phase mutual information (pMI) using a real fNIRS dataset. Results showed a significant divergence between WTC and CC, while WTC and pMI exhibited similar patterns as static measures. Overall, WTC was suggested to better identify synchrony due to its non-linear, instantaneous, and robust nature. For the latter part, based on other simulation analyses, we propose a new method using generalized linear model (GLM) regression. Simulations with synthetic fNIRS data supported the effectiveness of our proposed method, which can capture the dynamic relationships between inter-brain synchrony and behaviour, even during free interaction.

neuroscience↗

bioRxiv2024

Establishment of a novel amyotrophic lateral sclerosis patient-derived blood-brain barrier model: Investigating barrier dysfunction and immune cell interaction

Amyotrophic lateral sclerosis (ALS) is a major neurodegenerative disease for which there is currently no effective treatment. The main feature of the disease is the loss of motor neurons in the central nervous system (CNS), but other CNS components and the immune system also appear to be involved in the pathogenesis of the disease. The blood-brain barrier (BBB) is formed by specialized brain microvascular endothelial cells (BMECs) and plays a crucial role in maintaining homeostasis within the central nervous system (CNS). Autopsy studies have reported BBB abnormalities in ALS patients, and studies in animal models suggest that BBB breakdown may precede neurodegeneration. However, the difficulty of obtaining patient samples has hampered further studies. We used the method of differentiating BMEC-like cells from human induced pluripotent stem cells (hiPSCs), which have robust barrier functions and express adhesion molecules necessary for immune cell adhesion, to investigate BBB functions in ALS patients. We also established a method using automated analysis techniques to analyze immune cell adhesion to the BBB in multiple samples simultaneously and with minimal bias. BMEC-like cells derived from ALS patients carrying TARDBP N345K/WT mutations exhibited increased permeability to small molecules due to loss of tight junction, as well as increased expression of cell surface adhesion molecules, leading to enhanced immune cell adhesion. BMEC-like cells derived from hiPSCs with other types of TARDBP gene mutations (TARDBP K263E/K263E and TARDBP G295S/G295S) introduced by genome editing technology did not show such BBB dysfunction compared to the isogenic control. These results indicate that our model can recapitulate BBB abnormalities reported in ALS patients using patient (TARDBP N345K/WT) -derived hiPSCs and that two types of missense mutation, TARDBP K263E/K263E and TARDBP G295S/G295S, do not contribute to the BBB dysfunction. This novel ALS patient-derived BBB model is useful for the challenging analysis of the involvement of BBB dysfunction in the pathogenesis and to promote therapeutic drug discovery.

cell biology↗

bioRxiv2023

A single-cell atlas of transcribed cis-regulatory elements in the human genome

Transcribed cis-regulatory elements (tCREs), such as promoters and enhancers, are fundamental to modulate gene expression and define cell identity. The detailed mapping of tCREs at single-cell resolution is essential for understanding the regulatory mechanisms that govern cellular functions. Prior tCRE catalogs, limited by bulk analysis, have often overlooked cellular heterogeneity. We have constructed a tCRE atlas using single-cell 5-RNA-seq, capturing over 340,000 single-cells from 23 human tissues and annotating more than 175,000 tCREs, substantially enhancing the scope and granularity of existing cis-regulatory element annotations in the human genome. This atlas unveils patterns of gene regulation, revealing connections between broadly expressed promoters and cell type-specific distal tCREs. Assessing trait heritability at single-cell resolution with a novel tCRE module-based approach, we uncovered the nuanced trait-gene regulatory relationships across a continuum of cell populations, offering insights beyond traditional gene-level and bulk-sample analyses. Our study bridges the gap between gene regulation and trait heritability, underscoring the potential of single-cell analysis to elucidate the genetic foundations of complex traits. These insights set the stage for future research to investigate the impact of genetic variations on diseases at the individual level, advancing the understanding of cellular and molecular basis of trait heritability.

genomics↗

bioRxiv2023

Screening for novel RyR2 inhibitors by ER Ca2+ monitoring

Type 2 ryanodine receptor (RyR2) is a Ca2+ release channel on the endoplasmic/sarcoplasmic reticulum (ER/SR) that plays a central role in the excitation-contraction coupling in the heart. Hyperactivity of RyR2 has been linked to ventricular arrhythmias in patients with catecholaminergic polymorphic ventricular tachycardia (CPVT) and heart failure, where spontaneous Ca2+ release via hyperactivated RyR2 depolarizes diastolic membrane potential to induce triggered activity. In such cases, drugs that suppress RyR2 activity are expected to prevent the arrhythmias, but there is no clinically available RyR2 inhibitors at present. In this study, we searched for RyR2 inhibitors from a well-characterized compound library using a recently developed ER Ca2+-based assay, where the inhibition of RyR2 activity was detected by the increase in ER Ca2+ signals from R-CEPIA1er, a genetically encoded ER Ca2+ indicator, in RyR2-expressing HEK293 cells. By screening 1535 compounds in the library, we identified three compounds (chloroxylenol, methyl orsellinate and riluzole) that greatly increased the ER Ca2+ signal. All of the three compounds suppressed spontaneous Ca2+ oscillations in RyR2-expressing HEK293 cells and correspondingly reduced the Ca2+-dependent [3H]ryanodine binding activity. In cardiomyocytes from RyR2-mutant mice, the three compounds effectively suppressed abnormal Ca2+ waves without substantial effects on the action-potential-induced Ca2+ transients. These results confirm that ER Ca2+-based screening is useful for identifying modulators of ER Ca2+ release channels and suggest that RyR2 inhibitors have potential to be developed as a new category of antiarrhythmic drugs. Significance statementWe successfully identified three compounds having RyR2 inhibitory action from a well-characterized compound library using an ER Ca2+-based assay, and demonstrated that these compounds suppressed arrhythmogenic Ca2+ wave generation without substantially affecting physiological action-potential induced Ca2+ transients in cardiomyocytes. This study will facilitate the development of RyR2 specific inhibitors as a potential new class of drugs for life-threatening arrhythmias induced by hyperactivation of RyR2.

pharmacology and toxicology↗

bioRxiv2023

Tau Filaments from Amyotrophic Lateral Sclerosis/Parkinsonism-Dementia Complex (ALS/PDC) adopt the CTE Fold

The amyotrophic lateral sclerosis/parkinsonism-dementia complex (ALS/PDC) of the island of Guam and the Kii peninsula of Japan is a fatal neurodegenerative disease of unknown cause that is characterised by the presence of abundant filamentous tau inclusions in brains and spinal cords. Here we used electron cryo-microscopy (cryo-EM) to determine the structures of tau filaments from the cerebral cortex of three cases of ALS/PDC from Guam and eight cases from Kii, as well as from the spinal cord of two of the Guam cases. Tau filaments had the chronic traumatic encephalopathy (CTE) fold, with variable amounts of Type I and Type II filaments. Paired helical tau filaments were also found in two Kii cases. We also identified a novel Type III CTE tau filament, where protofilaments pack against each other in an anti-parallel fashion. ALS/PDC is the third known tauopathy with CTE-type filaments and abundant tau inclusions in cortical layers II/III, the others being CTE and subacute sclerosing panencephalitis. Because these tauopathies are believed to have environmental causes, our findings support the hypothesis that ALS/PDC is caused by exogenous factors. SIGNIFICANCEA neurodegenerative disease of unknown cause on the island of Guam and the Kii peninsula of Japan has been widely studied, because patients can suffer from the combined symptoms of motor neuron disease, parkinsonism and dementia. Abnormal filamentous inclusions made of tau protein characterise this amyotrophic lateral sclerosis/parkinsonism-dementia complex (ALS/PDC) and their formation closely correlates with neurodegeneration. Here we have used electron cryo-microscopy (cryo-EM) to show that tau filaments from ALS/PDC are identical to those from chronic traumatic encephalopathy (CTE), a disease caused by repetitive head impacts or blast waves. CTE tau filaments are also found in subacute sclerosing panencephalitis, which is a rare consequence of measles infection. ALS/PDC may therefore also be caused by environmental factors.

neuroscience↗

bioRxiv2023

An efficient induction method for human spinal lower motor neurons and high-throughput image analysis at the single cell level

This study presents a newly developed method to rapidly and efficiently induce human spinal lower motor neurons (LMNs) from induced pluripotent stem cells (iPSCs) for elucidation of the amyotrophic lateral sclerosis (ALS) pathomechanism and drug screening. Previous methods had several limitations such as poor efficiency and low purity of LMN induction and labor intensiveness of the induction and evaluation procedures. Our new protocol achieved nearly 80% induction efficiency in only 2 weeks by combining a small molecule-based approach and transduction of transcription factors. To overcome cellular heterogeneity, we analyzed morphology and viability of iPSC-derived LMNs on a cell-by-cell basis using time-lapse microscopy and machine learning, thus establishing a highly accurate pathophysiological evaluation system. Our rapid, efficient, and simplified protocol and single cell-based evaluation method allow the conduct of large-scale analysis and drug screening using iPSC-derived motor neurons.

neuroscience↗

bioRxiv2022

Deep learning for histopathological subtyping and grading of lung adenocarcinoma

The histopathological distinction of lung adenocarcinoma (LADC) subtypes is subject to high inter-observer variability, which can compromise the optimal assessment of the patient prognosis. Therefore, this study developed convolutional neural networks (CNNs) capable of distinguishing LADC subtypes and predicting disease-specific survival, according to the LADC tumour grades established recently by the International Association for the Study of Lung Cancer pathology committee. Consensus LADC ground truth histopathological images were obtained from seventeen expert pulmonary pathologists and one pathologist in training. Two deep learning models (AI-1 and AI-2) were trained with EfficientNet b3 architecture to predict eight different LADC classes (lepidic, acinar, papillary, micropapillary, solid, invasive mucinous adenocarcinoma, other carcinoma types, and no carcinoma cells). Furthermore, the trained models were tested on an independent cohort of 133 patients. The models achieved high precision, recall, and F1-scores exceeding 0.90 for most of the LADC classes. Clear stratification of the three LADC grades was reached in predicting the disease-specific survival by the two models. Moreover, the grading prediction of one of the trained models was more accurate than those of 14 out of 15 pulmonary pathologists involved in the study (p=0.0003). Both trained models showed high stability in the segmentation of each pair of predicted grades with low variation in the hazard ratio across 200 bootstrapped samples. These findings indicate that the trained CNNs improve the diagnostic accuracy of the pathologist, standardise LADC subtype recognition, and refine LADC grade assessment. Thus, the trained models are promising tools that may assist in the routine evaluation of LADC subtypes and grades in clinical practice.

pathology↗

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↗

bioRxiv2021

T cell-intrinsic vitamin A metabolism and its signaling are targets for memory T cell-based cancer immunotherapy

Memory T cells play an essential role in infectious and tumor immunity. Vitamin A metabolites such as retinoic acid are immune modulators, but the role of vitamin A metabolism in memory T- cell differentiation is unclear. In this study, we identified retinol dehydrogenase 10 (Rdh10), which metabolizes vitamin A to retinal (RAL), as a key molecule for regulating T cell differentiation. T cell-specific Rdh10 deficiency enhanced memory T-cell formation through blocking RAL production in infection model. Epigenetic profiling revealed that retinoic acid receptor (RAR) signaling activated by vitamin A metabolites induced comprehensive epigenetic repression of memory T cell-associated genes, including TCF7, thereby promoting effector T-cell differentiation. Importantly, memory T cells generated by Rdh10 deficiency and blocking RAR signaling elicited potent anti-tumor responses in adoptive T-cell transfer setting. Thus, T cell differentiation is regulated by vitamin A metabolism and its signaling, which should be novel targets for memory T cell-based cancer immunotherapy.

immunology↗

bioRxiv2021

Resident Cardiac Macrophages Mediate Adaptive Myocardial Remodeling

Cardiac macrophages represent a heterogeneous cell population with distinct origins, dynamics, and functions. Recent studies have revealed that C-C Chemokine Receptor 2 positive (CCR2+) macrophages derived from infiltrating monocytes regulate myocardial inflammation and heart failure pathogenesis. Comparatively little is known about the functions of tissue resident (CCR2-) macrophages. Herein, we identify an essential role for CCR2- macrophages in the chronically failing heart. Depletion of CCR2- macrophages in mice with dilated cardiomyopathy accelerated mortality and impaired ventricular remodeling and coronary angiogenesis, adaptive changes necessary to maintain cardiac output in the setting of reduced cardiac contractility. Mechanistically, CCR2- macrophages interacted with neighboring cardiomyocytes via focal adhesion complexes and were activated in response to mechanical stretch through a transient receptor potential vanilloid 4 (TRPV4) dependent pathway that controlled growth factor expression. These findings establish a role for tissue resident macrophages in adaptive cardiac remodeling and introduce a new mechanism of cardiac macrophage activation.

immunology↗

bioRxiv2019

Estrogen induces mammary ductal dysplasia.

Mammary ductal dysplasia is a phenotype observed in precancerous lesions and early-stage breast cancer. However, the mechanism of dysplasia formation remains elusive. Here we show, by establishing a novel dysplasia model system, that estrogen, a female hormone, has the potential to cause mammary ductal dysplasia. We injected estradiol (E2), the most active form of estrogen, daily into scid mice with a defect in nonhomologous end joining repair and observed dysplasia formation with cell proliferation at day 30. Moreover, we found that isoflavones inhibited E2-induced dysplasia formation. Our dysplasia model system provides insight into the mechanistic understanding of breast tumorigenesis, and the development of breast cancer prevention.

cancer biology↗