Biology subjects

Arai, K.

Publications and source records attributed to Arai, K..

17 recordsLinked to original sources

bioRxiv2026

Age-associated erosion of organ-specific endothelial programs compromises tissue function and resilience

Endothelial cells (ECs) express organ-specific gene programs supporting tissue homeostasis and resilience. However, the mechanisms by which aging reshapes these organ-specific endothelial programs and how the resulting changes affect tissue homeostasis, resilience, and disease susceptibility remain largely unknown. Herein, we performed single-cell RNA sequencing of ECs harvested from five organs across the lifespan and found that aging progressively erodes organ-specific endothelial programs while inducing shared interferon-responsive and antigen-presentation programs across organs. Although vascular subtype identity and conserved capillary subset identity were mostly preserved, these organ-specific transcriptional programs were broadly attenuated with aging, indicating erosion of organ-specific endothelial identity to be a fundamental feature of endothelial aging. Importantly, these alterations were associated with declines in specialized EC functions, including alveolar barrier maintenance in the lung, scavenging activity in the liver, angiogenic capacity in the heart, and homeostatic programs in the kidneys and the brain, suggesting that age-related EC alterations compromise tissue homeostasis and resilience in multiple organs. Furthermore, we established a single-cell aging index for alveolar capillary ECs in mice and humans, revealing stress-associated endothelial activation to potentially be an intermediate state linking functional deterioration to cellular senescence, and also demonstrating marked heterogeneity in aging states even among ECs from animals of the same chronological age. Notably, alveolar capillary ECs exhibited progressive functional decline before reaching a senescent-like state, suggesting endothelial dysfunction to precede overt cellular senescence as the organism ages. Collectively, our findings establish progressive erosion of organ-specific endothelial programs as a central feature of vascular aging and provide a conceptual framework for elucidating how endothelial aging contributes to tissue dysfunction and reduced resilience across organs.

physiology↗

bioRxiv2025

Advancing Provenance Assignment using Machine Learning and Time Series Analysis of Chemical Chronologies in Archival Tissues

O_LIAccurately assigning the provenance of organisms is critical for understanding ecological connectivity and guiding effective conservation and management. Natural chemical chronologies stored in metabolically inert, incrementally growing tissues (e.g., otoliths) provide a powerful tool for this purpose. However, traditional approaches face biological challenges (e.g., dispersal, maternal effects), collapse chronological data into summary metrics, and rely on subjective interpretation--limiting their accuracy and scalability. C_LIO_LIWe present a novel, flexible framework that integrates machine learning, time-series analysis, and ensemble modeling to improve provenance assignment from archival tissue chemistry. Using otolith 87Sr/86Sr profiles from 17 natal sources of California Central Valley Chinook salmon (Oncorhynchus tshawytscha), we moved beyond conventional summary-based methods by developing fully automated time-series feature extraction, explicit time-series classification (including dynamic time warping [DTW] with k-nearest neighbors [KNN]), and ensemble models that combine multiple classifiers. We further incorporated simulated data to represent under-sampled life history strategies and validated the framework on real-world, known- and unknown- origin samples. C_LIO_LITime-series-based approaches consistently outperformed traditional methods, particularly for sources with strong maternal signatures or early dispersal. Feature extraction approaches informed by biological knowledge were most effective when chemical chronologies followed predictable life-stage-specific patterns, whereas explicit time-series classification (DTW + KNN) excelled when sources displayed distinct overall profile "shapes". Ensemble models leveraged the complementary strengths of individual approaches, outperforming any single method. Incorporating simulated data corrected systematic underrepresentation of key life history phenotypes in real-world applications, improving model performance, population composition estimates, and their relevance for management decisions. C_LIO_LIOur results highlight the power of treating archival chemical data as time series, combined with machine learning and ensemble strategies, to enhance the accuracy, consistency, and scalability of provenance assignment. This flexible framework is broadly applicable across taxa, tissues, and chemical markers, offering a practical roadmap for advancing ecological inference and informing conservation and management. C_LI

ecology↗

bioRxiv2025

Global hypoperfusion leads to a mismatch in oxygen delivery and consumption in the cerebral watershed area

Despite the pivotal role of pial collaterals in maintaining cerebral blood flow during focal brain ischemia, it is largely unexplored how the microvascular blood flow and oxygenation in the watershed "pial-collateral territory" differ from those in the territory supplied by the major arteries during chronic global hypoperfusion. To answer this question, we applied 2-photon microscopy and Doppler optical coherence tomography to investigate the changes in cerebral microvascular blood flow and partial pressure of oxygen (PO2), induced by bilateral common carotid artery stenosis (BCAS). The measurements were performed in the somatosensory cortex that is supplied by the middle cerebral artery (MCA), and in the adjacent watershed area in the awake, head-restrained C57BL/6 mice, via the chronic cranial window. The results showed that the BCAS induced a larger decrease in capillary red blood cell (RBC) flux in the watershed area than in the MCA territory, especially in the subcortical white matter. Besides, PO2 in the pial collaterals was significantly lower than that in the upstream MCA segments under control conditions. However, the PO2 changes in the arteries and veins under global hypoperfusion displayed different trends in the two interrogated regions, resulting in a significant increase in oxygen extraction fraction in the watershed area. These findings suggest a mismatch between oxygen supply and demand in the watershed area due to global hypoperfusion and increased subcortical white matter vulnerability. We have also observed dilation of the pial collaterals after BCAS, which might suggest a compensatory mechanism to improve the blood flow in the watershed under hypoperfusion.

neuroscience↗

bioRxiv2025

Extremely Early Flowering and Large Grain Isogenic Japonica Rice Koshihikari Integrated with Gene e1 and GW2

The extremely early flowering/large-grain isogenic Koshihikari was developed by combining the large-grain allele, GW2, derived from Inochinoichi with the year-round flowering allele, e1, from Kanto 79. We conducted four back crosses with Koshihikari as a recurrent parent by using an extremely early flowering/large-grain e1GW2 homozygote as a non-recurrent parent, which was segregated in B1F2 between Kanto 79 and a large-grain fixed F3 plant in Koshihikari x Inochinoichi. In the BC4F2 population, the e1GW2 homozygous phenotype was selected and fixed in BC4F3 as Kshihikari e1GW2. plants were segregated according to a ratio of 1 extremely early flowering/large-grain e1GW2 : 3 extremely early maturing/small-grain e1gw2 : 3 medium-maturing/large-grain e1GW2 : 9 medium-flowering/small-grain E1gw2 and e1GW2 homozygous isogenic Koshihikari [Koshihiakri e1GW2] was fixed in BC4F3. Whole genome sequencing of Koshihiakri e1GW2 proved that already known 1 deletion in GW2 at 8,147,416 bp on chromosome 2, and an e1 isogenic-specific SNP at 9,090,618 bp, which was 35,213 bp downstream to the 3{square} side of Ghd7 on chromosome 7. RT-qPCR analyses showed that the transcription of Ghd7 was suppressed in Koshihikari e1GW2 than in Koshihikari. The Koshihikari e1GW2 flowered 14 days earlier than Koshihikari and thousand grain weight of Koshihikari e1GW2 (27.8 g) was 18% larger than Koshihikari (23.6 g). We successfully integrated GW2 with e1 for the first time, especially in the genome of a globally produced Japonica leading cultivar Koshihikari. The Koshihikari e1GW2 was registered under plant varietal protection.

genomics↗

bioRxiv2024

Ca2+-driven PDIA6 phase separation to ensure proinsulin quality control

The endoplasmic reticulum (ER) plays key roles in protein quality control1,2 and dynamic Ca2+ storage3,4 in eukaryotic cells. However, the protein homeostasis (proteostasis) system that regulates these ER functions is still incompletely characterised. Previous study revealed the importance of oligomerization in the function PDIA1, an ER-resident disulfide isomerase and molecular chaperone, regulates oligomeric states in accordance with client folding5. This result suggests that at least some of the 20 members of other PDI family may undergo regulated self-assembly in order to optimally function. Here, we show that Ca2+ triggers the phase separation of PDIA6 into liquid-like condensates. In contrast to the condensation mechanism observed for proteins containing low-complexity domains, our results indicate that transient but specific electrostatic interactions occur between the first and the third folded thioredoxin-like domains of PDIA6. We further show that the Ca2+-driven condensation of PDIA6 recruits PDIA3 and proinsulin, thus increasing their local concentrations. This process results in the 30-fold enhancement of proinsulin folding and in the inhibition of proinsulin aggregation. Our findings shed light on a condensation-driven Ca2+-mediated proteostasis cascade in the ER by revealing how the efficiency of the protein folding process can be enhanced within quality control granules.

biochemistry↗

bioRxiv2024

Transcriptomic analysis of the juvenile to adult transition in the mouse corpus callosum

The corpus callosum, a major white matter tract in the brain, undergoes age-related functional changes. To extend our investigation of age-related gene expression dynamics in the mouse corpus callosum, we compared RNA-seq data from 2-week-old and 12-week-old wild-type C57BL/6J mice and identified the differentially expressed genes (e.g., Serpinb1a, Ndrg1, Dnmt3a, etc.) between these ages. Interestingly, we found that genes highly expressed in myelinating oligodendrocytes were upregulated in 12-week-old mice compared to 2-week-old mice, while genes highly expressed in oligodendrocyte precursor cells (OPCs) and newly formed oligodendrocytes were downregulated. Furthermore, by comparing these genes with the datasets from 20-week-old and 96-week-old mice, we identified novel sets of genes with age-dependent variations in the corpus callosum. These gene expression changes potentially affect key biological pathways and may be closely linked to age-related neurological disorders, including dementia and stroke. Therefore, our results provide an additional dataset to explore age-dependent gene expression dynamics of oligodendrocyte lineage cells in the corpus callosum.

neuroscience↗

bioRxiv2023

White matter hyperintensity genetic risk factor TRIM47 regulates autophagy in brain endothelial cells

White matter hyperintensity (WMH) is strongly correlated with age-related dementia and hypertension, but its pathogenesis remains obscure. GWAS identified TRIM47 at 17q25 locus as a top genetic risk factor for WMH formation. TRIM family is a class of E3 ubiquitin ligase with pivotal functions in autophagy, which is critical for brain endothelial cell (ECs) remodeling during hypertension. We hypothesize that TRIM47 regulates autophagy and its loss-of-function disturbs cerebrovasculature. Based on transcriptomics and immunohistochemistry, TRIM47 is found selectively expressed by brain ECs in human and mouse, and its transcription is upregulated by artificially-induced autophagy while downregulated in hypertension-like conditions. Using in silico simulation, immunocytochemistry and super-resolution microscopy, we identified the highly conserved binding site between TRIM47 and the LIR (LC3-interacting region) motif of LC3B. Importantly, pharmacological autophagy induction increased Trim47 expression on mouse ECs (b.End3) culture, while silencing Trim47 significantly increased autophagy with ULK1 phosphorylation induction, transcription and vacuole formation. Together, we confirm that TRIM47 is an endogenous inhibitor of autophagy in brain ECs, and such TRIM47-mediated regulation connects genetic and physiological risk factors for WMH formation but warrants further investigation. SUMMARY STATEMENTTRIM47, top genetic risk factor for white matter hyperintensity formation, is a negative regulator of autophagy in brain endothelial cells and implicates a novel cellular mechanism for age-related cerebrovascular changes.

cell biology↗

bioRxiv2023

Dose-response relationship for the resistance of human insulin to degradation by insulin-degrading enzyme

Deeper understanding of the mechanism of the action of insulin and insulin-degrading enzyme (IDE) is a central theme in research into physiology and the pathophysiology of type 2 diabetes mellitus. Despite significant progress regarding the substrate recruitment, unfolding, digestion, and release by IDE, the structure and function of the insulin hexamer during the degradation cycle of IDE remain to be fully characterized. In the present study, we have characterized the behavior of human insulin hexamer in the absence of zinc. Using cryo-electron microscopy, we also observed that these hexamers represented a structure similar to that of T6 insulin. More interestingly, we also observed complexes in which some of their monomeric insulin components are partially distorted at their hexametric symmetry. This ensures that insulin determines the kinetics of its degradation by IDE without the requirement for zinc. These findings provide new information regarding the molecular events in insulin assembly and disassembly that permit its selective digestion by IDE.

biochemistry↗

bioRxiv2023

Aerobic exercise reverses aging-induced depth-dependent decline in cerebral microcirculation

Aging is a major risk factor for cognitive impairment. Aerobic exercise benefits brain function and may promote cognitive health in older adults. However, underlying biological mechanisms across cerebral gray and white matter are poorly understood. Selective vulnerability of the white matter to small vessel disease and a link between white matter health and cognitive function suggests a potential role for responses in deep cerebral microcirculation. Here, we tested whether aerobic exercise modulates cerebral microcirculatory changes induced by aging. To this end, we carried out a comprehensive quantitative examination of changes in cerebral microvascular physiology in cortical gray and subcortical white matter in mice (3-6 vs. 19-21 months old), and asked whether and how exercise may rescue age-induced deficits. In the sedentary group, aging caused a more severe decline in cerebral microvascular perfusion and oxygenation in deep (infragranular) cortical layers and subcortical white matter compared with superficial (supragranular) cortical layers. Five months of voluntary aerobic exercise partly renormalized microvascular perfusion and oxygenation in aged mice in a depth-dependent manner, and brought these spatial distributions closer to those of young adult sedentary mice. These microcirculatory effects were accompanied by an improvement in cognitive function. Our work demonstrates the selective vulnerability of the deep cortex and subcortical white matter to aging-induced decline in microcirculation, as well as the responsiveness of these regions to aerobic exercise.

neuroscience↗

bioRxiv2022

Embodiment of Supernumerary Robotic Limbs in Virtual Reality

The supernumerary robotic limb system expands the motor function of human users by adding extra artificially designed limbs. It is important for us to embody the system as if it is a part of ones own body and to maintain cognitive transparency in which the cognitive load is suppressed. Embodiment studies have been conducted with an expansion of bodily functions through a "substitution" and "extension." However, there have been few studies on the "addition" of supernumerary body parts. In this study, we developed a supernumerary robotic limb system that operates in a virtual environment, and then evaluated whether the extra limb can be regarded as a part of ones own body using a questionnaire and whether the perception of peripersonal space changes with a visuotactile crossmodal congruency task. We found that the participants can embody the extra-limbs after using the supernumerary robotic limb system. We also found a positive correlation between the perceptual change in the crossmodal congruency task and the subjective feeling that the number of ones arms had increased (supernumerary limb sensation). These results suggest that the addition of an extra body part may cause the participants to feel that they had acquired a new body part that differs from their original body part through a functional expansion.

neuroscience↗

bioRxiv2021

Chemical inhibition of auxin inactivation pathway uncovers the metabolic turnover of auxin homeostasis

The phytohormone auxin, specifically indole-3-acetic acid (IAA) plays a prominent role in plant development. Cellular auxin concentration is coordinately regulated by auxin synthesis, transport, and inactivation to maintain auxin homeostasis; however, the physiological contribution of auxin inactivation to auxin homeostasis has remained elusive. The GH3 genes encode auxin amino acid conjugating enzymes that perform a central role in auxin inactivation. The chemical inhibition of GH3s in planta is challenging because the inhibition of GH3 enzymes leads to IAA overaccumulation that rapidly induces GH3 expression. Here, we developed a potent GH3 inhibitor, designated as kakeimide (KKI), that selectively targets auxin-conjugating GH3s. Chemical knockdown of the auxin inactivation pathway demonstrates that auxin turnover is very rapid (about 10 min), indicating auxin biosynthesis and inactivation dynamically regulate auxin homeostasis.

plant biology↗

bioRxiv2020

Analysis of Distributed Neural Synchrony through State-Space Coherence Analysis

Established methods to track the dynamics of neural representations focus at the level of individual neurons for spiking data, and individual or pair of channels for local field potentials. However, our understanding of neural function and computation has moved toward an integrative view, based upon coordinated activity of multiple neural populations across brain areas. To draw network-level inferences of brain function, we propose a new modeling framework that combines the state-space model and cross-spectral matrix estimates - this is called state-space coherence (SSCoh). We define elements of the SSCoh and derive system identification and approximate filter solution for multivariate space processes. We expand SCoh for mixed observation processes, where the observation includes different modalities of neural data including local filed potential and spiking activity. Finally, we show an application of the framework to study neural synchrony across different brain nodes of a task participant performing Stroop task under different distraction levels.

neuroscience↗

bioRxiv2020

Temporal analysis of localization and trafficking of glycolipids

Glycolipid metabolism occurs in the Golgi apparatus, but the detailed mechanisms have not yet been elucidated. We used fluorescently labeled glycolipids to analyze glycolipid composition and localization changes and shed light on glycolipid metabolism. In a previous study, the fatty chain of lactosyl ceramide was fluorescently labeled with BODIPY (LacCer-BODIPY) before being introduced into cultured cells to analyze the cell membrane glycolipid recycling process. However, imaging analysis of glycolipid recycling is complicated because of limited spatial resolution. Therefore, we examined the microscopic conditions that allow the temporal analysis of LacCer-BODIPY trafficking and localization. We observed that the glycolipid fluorescent probe migrated from the cell membrane to intracellular organelles before returning to the cell membrane. We used confocal microscopy to observe co-localization of the glycolipid probe with endosomes and Golgi markers, demonstrating that it recycles mainly through the trans-Golgi network (TGN). Here, a glycolipid recycling pathway was observed that did not require the lipids to pass through the lysosome.

biochemistry↗

bioRxiv2018

Real-Time Point Process Filter for Multidimensional Decoding Problems Using Mixture Models

There is an increasing demand for a computationally efficient and accurate point process filter solution for real-time decoding of population spiking activity in multidimensional spaces. Real-time tools for neural data analysis, specifically real-time neural decoding solutions open doors for developing experiments in a closed-loop setting and more versatile brain-machine interfaces. Over the past decade, the point process filter has been successfully applied in the decoding of behavioral and biological signals using spiking activity of an ensemble of cells; however, the filter solution is computationally expensive in multi-dimensional filtering problems. Here, we propose an approximate filter solution for a general point-process filter problem when the conditional intensity of a cells spiking activity is characterized using a Mixture of Gaussians. We propose the filter solution for a broader class of point process observation called marked point-process, which encompasses both clustered - mainly, called sorted - and clusterless - generally called unsorted or raw- spiking activity. We assume that the posterior distribution on each filtering time-step can be approximated using a Gaussian Mixture Model and propose a computationally efficient algorithm to estimate the optimal number of mixture components and their corresponding weights, mean, and covariance estimates. This algorithm provides a real-time solution for multi-dimensional point-process filter problem and attains accuracy comparable to the exact solution. Our solution takes advantage of mixture dropping and merging algorithms, which collectively control the growth of mixture components on each filtering time-step. We apply this methodology in decoding a rats position in both 1-D and 2-D spaces using clusterless spiking data of an ensemble of rat hippocampus place cells. The approximate solution in 1-D and 2-D decoding is more than 20 and 4,000 times faster than the exact solution, while their accuracy in decoding a rat position only drops by less than 9% and 4% in RMSE and 95% HPD coverage performance metrics. Though the marked-point filter solution is better suited for real-time decoding problems, we discuss how the filter solution can be applied to sorted spike data to better reflect the proposed methodology versatility.

bioinformatics↗

bioRxiv2018

Marked point process filter for clusterless and adaptive encoding-decoding of multiunit activity

Real-time, closed-loop experiments can uncover causal relationships between specific neural activity and behavior. An important advance in realizing this is the marked point process filtering framework which utilizes the \"mark\" or the waveform features of unsorted spikes, to construct a relationship between these features and behavior, which we call the encoding model. This relationship is not fixed, because learning changes coding properties of individual neurons, and electrodes can physically move during the experiment, changing waveform characteristics. We introduce a sequential, Bayesian encoding model which allows incorporation of new information on the fly to adapt the model in real time. A possible application of this framework is to the decoding of the contents of hippocampal ripples in rats exploring a maze. During physical exploration, we observe the marks and positions at which they occur, to update the encoding model, which is employed to decode contents of ripples when rats stop moving, and switch back to updating the model once the rat starts moving again.

neuroscience↗

bioRxiv2018

A common goodness-of-fit framework for neural population models using marked point process time-rescaling

A critical component of any statistical modeling procedure is the ability to assess the goodness-of-fit between a model and observed data. For neural spike train models of individual neurons, many goodness-of-fit measures rely on the time-rescaling theorem to assess the statistical properties of rescaled spike times. Recently, there has been increasing interest in statistical models that describe the simultaneous spiking activity of neuron populations, either in a single brain region or across brain regions. Classically, such models have used spike sorted data to describe relationships between the identified neurons, but more recently clusterless modeling methods have been used to describe population activity using a single model. Here we develop a generalization of the time-rescaling theorem that enables comprehensive goodness-of-fit analysis for either of these classes of population models. We use the theory of marked point processes to model population spiking activity, and show that under the correct model, each spike can be rescaled individually to generate a uniformly distributed set of events in time and the space of spike marks. After rescaling, multiple well-established goodness-of-fit procedures and statistical tests are available. We demonstrate the application of these methods both to simulated data and real population spiking in rat hippocampus.

neuroscience↗

bioRxiv2017

Reconstructing regulatory pathways by systematically mapping protein localization interdependency networks

A key goal of functional genomics is to elucidate how genes and proteins act together in space and time, wired as pathways, to control specific aspects of cell biological function. Here, we develop a method to quantitatively determine proteins localization interdependencies at high throughput. We show that this method can be used to systematically obtain weighted, signed and directional pathway relationships, and hence to reconstruct a detailed pathway wiring. As proof-of-principle, we focus on 42 factors that control cell polarity in fission yeast (Schizosaccharomyces pombe) and use high-throughput confocal microscopy and quantitative image analysis to reconstruct their Localization Interdependency Network (LIN). Through this approach we identify 554 pairwise interactions across the factors, including 98% putative new directed links. Validation of an unexpected interaction between two polarity factor subgroups - the polarity landmark proteins and the cell integrity pathway components - by orthogonal phenotyping demonstrates the power of the LIN approach in detecting subtle, systems-level causal connections.

cell biology↗