Biology subjects

Mano, T.

Publications and source records attributed to Mano, T..

13 recordsLinked to original sources

bioRxiv2026

Hierarchical processing and polarization encoding in the cephalopod visual system

Coleoid cephalopods (octopus, cuttlefish and squid, hereafter cephalopods) have evolved a range of complex visually-guided behaviours, from dexterous hunting to skin-pattern based camouflage and communication1. They have also evolved sensitivity to the polarization of light2, an adaptation thought to help detect camouflaged or semitransparent predators and prey in low visibility underwater environments3-10. How visual information is processed by the cephalopod brain to support their behaviours remains unclear. Here, studying the bigfin reef squid Sepioteuthis lessoniana, we performed calcium imaging and electrophysiological recordings from populations of neurons in the large visual center of the cephalopod brain, the optic lobe (OL). We revealed that the retina-recipient superficial OL contains a diversity of functionally distinct cell types, spatially organized into sub-layers, processing spatio-temporal features of light intensity and possessing polarization angle specificity. More complex features, e.g. direction selectivity, are seen in deeper regions of the OL cortex, which also exhibits spontaneous waves of neural activity in the absence of visual input. Neurons in the downstream OL medulla exhibit visual receptive field sizes and spontaneous activity levels which increase with brain depth, consistent with the hierarchical processing of visual information through the medullas tree-like anatomical organization. Medulla neurons exhibit sensitivity to local decreases in the degree of linear polarization (DoLP), which they integrate additively with light intensity information. Underwater imaging in the squids habitat off the coast of Okinawa, Japan, demonstrate that polarization sensitivity confers a robust short-range boost in object-background contrast over a range of objects and environmental conditions. These findings reveal convergent principles of hierarchical visual processing shared between cephalopods and vertebrates, and highlight how cephalopods utilise their distinct adaptation of polarization sensitivity to solve universal visual challenges underwater.

neuroscience↗

bioRxiv2025

Artificial Intelligence-driven Whole-brain Cell Mapping with Highly Multiplexed In Situ Hybridization

Recent advances in three-dimensional single-cell-resolution imaging have begun to link organ-wide and cellular level research in development and disease research. Harnessing the power of whole-mount cell staining and tissue-clearing, it became possible to quantify the cell populations throughout an intact organ. While powerful, whole-organ imaging remains limited by the inability to stain a broad range of molecular markers simultaneously and by the lack of an analytical scheme to precisely quantify the cell population. Here, we present a highly multiplexed whole-mount staining technique, utilizing the repeated application of fluorescent in situ hybridization. This technique, termed mFISH3D, was designed by extensively dissecting the chemical basis of hybridization reactions in fixed tissue. mFISH3D enabled the visualization of 10 types of mRNAs in an intact mouse brain and has been demonstrated in various biological specimens including the human brain. To achieve unprecedented levels of accuracy in spatial cell mapping, we developed artificial intelligence (AI)-driven workflow using self-supervised learning, significantly reducing the need for extensive manual annotations. The integration of mFISH3D with our AI solution sets a standard for high-dimensional tissue analysis, provides a new systematic framework for analyzing complex cellular ecosystems and enables comprehensive investigation of selective cellular vulnerabilities in diseases.

neuroscience↗

bioRxiv2025

Aβ-HMGB1 complex is a pathogenic molecule at the advanced stage of Alzheimer's disease

Multiple molecules including A{beta}, tau and other inflammatory molecules mediate Alzheimers disease (AD) pathology. High mobility group box 1 (HMGB1), which is released from necrotic cells and binds to Toll-like receptors (TLRs) of surrounding neurons and microglia, also mediates AD pathology from the early stage. Paradoxically, HMGB1 concentration in cerebrospinal fluid (CSF) at the advanced stage of AD is not higher than that at the early stage. Here we show that A{beta}-HMGB1 complexes are generated in neurons undergoing secondary necrosis around A{beta} plaques in the AD brain at the advanced stage. A{beta}-HMGB1 complex triggers neurite degeneration and necrosis of human normal iPSC-derived neurons via binding to TLR4. Further, two anti-HMGB1 antibodies that inhibit its interaction with TLR4 successfully suppress the toxicity of A{beta}-HMGB1 complex to human iPSC-derived neurons, and recover cognitive impairment and A{beta}-HMGB1 complex-related brain pathology in AD model mice, while such therapeutic effects were not obvious with an anti-A{beta} antibody (lecanemab) approved for human AD patients. Enzyme-Linked Immuno Sorbent Assay (ELISA) revealed plasma level of A{beta}-HMGB1 complex was increased in a part of AD patients at the advanced stage. These findings for the molecular basis of toxicity to neurons suggest the significance of A{beta}-HMGB1 complex at the advanced stage of AD pathology, and might explain the discrepancy between A{beta} burdens and clinical symptoms of human AD patients treated with anti-A{beta} antibody.

neuroscience↗

bioRxiv2025

Whole-genome sequencing revealed local genetic differences and multi-layered genetic structure in brown bear (Ursus arctos) populations

A multi-layered genetic structure shaped by multiple demographic events across different time periods has been well documented in some species. However, evaluating this pattern remains challenging in many wide-ranging wildlife because genome-wide datasets with broad geographic coverage are still scarce. Brown bears are genetically differentiated among regional populations, but the genomic data are still limited and the demographic events remain incompletely understood. Here, we generated whole-genome resequencing data from brown bears in Asian local populations previously reported to show significant variation and combined these data with ancient samples for population genomic analyses. Our results support previously reported demographic events, such as the early divergence of Central Asian populations. Furthermore, we found genetic differences among Asian brown bear populations, suggesting that population-specific demographic histories occurring at different times have contributed to their unique genetic characteristics. In the Central and West Asian populations, divergence times estimated from autosomal genomes differed by hundreds of thousands of years from those inferred from mitochondrial DNA and Y-chromosomal DNA haplotypes, suggesting that gene flow continued after regional dispersal. In addition, the Y-chromosomal phylogeny and f4 statistics indicated genetic differentiation between the Kazakhstan and Tibetan populations, likely resulting from male-biased introgression into the Tibetan population. Finaly, the Hokkaido and Etorofu (Iturup) populations retained alleles derived from hybridization with polar bears, likely due to the limited impact of post-LGM population expansion. These findings indicate that the genetic variation among brown bear populations is shaped by multiple demographic events occurring at different times, resulting in a multi-layered genetic structure. Significance StatementMulti-layered genetic structure is well known in some species, but remains poorly understood in wild species due to limited genomic data. In this study, we newly sequenced nine brown bears in Asia which included bears that genome data in their area is unreported. By combining these with modern and ancient genomes, we conducted population genomic analyses to characterize local genetic variation and detect hybridization with related species such as the polar bear. We identified (1) substantial divergence time gaps in Central and West Asian populations between autosomal genomes and mitochondrial and Y-chromosomal haplotypes, (2) male-biased introgression into the Tibetan population, and (3) limited impact of recent expansion between island and Eurasian continental populations. These findings suggest that the genetic structure of the populations has been shaped by multiple demographic events at different times, resulting in a multi-layered genetic structure and providing new insights into how wildlife genetic diversity is shaped.

evolutionary biology↗

bioRxiv2024

The lysosomal membrane protein LAMP2B mediates microlipophagy to target obesity-related disorders

Lifestyle diseases, such as obesity, diabetes, and metabolic syndrome, are leading health problems, most of which are related to abnormal lipid metabolism. Lysosomes can degrade lipid droplets (LDs) via microautophagy. Here, we report the molecular mechanism and pathophysiological roles of microlipophagy, regulated by the lysosomal membrane protein LAMP2B. Our study revealed that LAMP2B interacts with phosphatidic acid, facilitating lysosomal-LD interactions and enhancing lipid hydrolysis via microlipophagy depending on endosomal sorting complexes required for transport. Correlative light and electron microscopy demonstrated direct LDs uptake into lysosomes at contact sites. Moreover, LAMP2B overexpression in mice prevents high-fat diet-induced obesity, insulin resistance, and adipose tissue inflammation; liver lipidomics analysis suggested enhanced triacylglycerol hydrolysis. Overall, the findings of this study elucidated the mechanism of microlipophagy, which could be promising for the treatment of obesity and related disorders.

cell biology↗

bioRxiv2024

A novel method for fine-scale retrospective isotope analysis in mammals using eye lenses

1. Investigating individual behavioural variations in mammals is essential for understanding their ecology and evolution, and plays a critical role in conservation and management practices. However, the reconstruction of long-term individual behaviour, such as via bio-logging, remains challenging owing to cost constraints and limitations of battery life and the impact of device size for smaller animals. This study proposed and tested a novel and cost-effective method for retrospective isotope analysis using mammalian eye lenses, specifically focusing on brown bears (Ursus arctos). 2. Seven pairs of bear eye lenses were collected from southwestern Hokkaido, Japan. One or both lenses of each bear were segregated into small fragments from the outermost to the core tissues, and the nitrogen and carbon stable isotope ratios ({delta}15N and {delta}13C) of each eye lens fragment were measured. These isotope ratios in the eye lenses were compared with the {delta}15N and {delta}13C of potential brown bear diets in the study region (C3 herbs, C3 fruits, terrestrial animals, and corn). Additionally, we compared the isotopic patterns in both the right and left lenses of the same bear in two individuals to evaluate the consistency of our preparation protocol. 3. In all eye lenses, high {delta}15N values were identified near the core, which gradually decreased towards the outer tissues, indicating ontogenetic dietary shifts related to lactation and weaning in the early life stage. Bears from study areas with high corn availability exhibited substantial increases in {delta}13C and {delta}15N in the outer lens tissues, suggesting a dietary shift toward corn consumption after weaning. Isotopic patterns between lens pairs from the same individual were similar, although discrepancies increased in tissues located 1.00 to 2.25 mm from the core, highlighting the need for standardisation in sample processing. 4. This study demonstrates a novel and simple technique for retrospective isotope analysis in wild mammals using eye lenses, effectively reconstructing the feeding histories of brown bears. Our findings provide a new avenue for studying individual time-series behavioural patterns, with important implications for the fields of mammalian ecology, evolution, conservation, and management.

ecology↗

bioRxiv2023

A Framework to Determine Active Connectivity within the Mouse Brain

Tremendous effort has focused on determining the physical connectivity within the mouse brain. However, the strength of connections within the brain constantly changes throughout the 24-hour day. Here, we combine experimental and computational methods to determine an "active connectivity" of the physical connections between the most active neurons. Brain cells of freely behaving mice are genetically marked with the activity- dependent TRAP2 system, imaged, digitized, and their connectivity is inferred from the latest brain atlases. We apply our methods to determine the most active networks in the early light and early dark hours of the day, two periods with distinct differences in sleep, wake, and feeding behavior. Increased signaling is seen through the visceral and agranular insular (AI) regions in the early day as peripheral stimuli are integrated. On the other hand, there is an increase in the activity of the retrosplenial cortex (RSP) and the anterior cingulate cortex (ACC) during the early night, when more sustained attention is required. Our framework carves a window to the three-dimensional networks of active connections in the mouse brain that underlie spontaneous behaviors or responses to environmental changes, thus providing the basis for direct computer simulations and analysis of such networks in the future.

neuroscience↗

bioRxiv2023

Cortical parvalbumin neurons are responsible for homeostatic sleep rebound through CaMKII activation

The homeostatic regulation of sleep is characterized by rebound sleep after prolonged wakefulness, but the molecular and cellular mechanisms underlying this regulation are still unknown. We show here that CaMKII-dependent activity control of parvalbumin (PV)-expressing cortical neurons is involved in sleep homeostasis regulation. Prolonged wakefulness enhances cortical PV-neuron activity. Chemogenetic suppression or activation of cortical PV neurons inhibits or induces rebound sleep, implying that rebound sleep is dependent on increased activity of cortical PV neurons. Furthermore, we discovered that CaMKII kinase activity boosts the activity of cortical PV neurons, and that kinase activity is important for homeostatic sleep rebound. We propose that CaMKII-dependent PV-neuron activity represents negative feedback inhibition of cortical neural excitability, which serves as the distributive cortical circuits for sleep homeostatic regulation.

neuroscience↗

bioRxiv2022

Proteomic profile of nuclei containing p62-positive inclusions in neuronal intranuclear inclusion disease

Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disease characterized by eosinophilic hyaline intranuclear inclusions in the neurons, glial cells, and other somatic cells. Although CGG repeat expansions in NOTCH2NLC have been identified in most East Asian patients with NIID, the pathophysiology of NIID remains unclear. Intranuclear inclusions are the pathological hallmark of NIID. Previously, immunohistochemistry has revealed that intranuclear inclusions are ubiquitin-, p62-, and SUMO-1-positive, suggesting the possible alteration of the ubiquitin-proteasomal protein degradation system in the nuclei with inclusions. However, the molecular mechanisms within these nuclei remain unclear. Herein, we analyzed the proteomic profile of nuclei with p62-positive inclusions in NIID with CGG repeat expansion in NOTCH2NLC to discover the proteins involved in the NIID pathophysiology. We used fluorescence-activated cell sorting and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to quantify each protein identified in the nuclei with p62-positive inclusions. The distribution of increased proteins in the autopsy brain samples from three NIID patients was confirmed via immunofluorescence. Overall, 526 proteins were identified, of which 243 were consistently quantified using MS. A 1.4-fold increase was consistently observed for 20 proteins in nuclei with p62-positive inclusions compared to those without. Fifteen proteins identified with medium or high confidence in the LC-MS/MS analysis were further evaluated. Gene ontology enrichment analysis showed enrichment of several terms, including poly(A) RNA binding, nucleosomal DNA binding, and protein binding. Immunofluorescence studies confirmed that the fluorescent intensities of increased RNA-binding proteins identified by proteomic analysis, namely hnRNP A3, hnRNP A2/B1, and hnRNP C1/C2, were higher in the nuclei with p62-positive inclusions than those without; however, they were not confined to the intranuclear inclusions. We identified several increased proteins in nuclei with p62-positive inclusions. These data can form the basis for understanding the pathophysiology of NIID.

biochemistry↗

bioRxiv2020

CUBIC-Cloud: An Integrative Computational Framework Towards Community-Driven Whole-Mouse-Brain Mapping

Recent advancements in tissue clearing technologies have offered unparalleled opportunities for researchers to explore the whole mouse brain at cellular resolution. With the expansion of this experimental technique, however, a scalable and easy-to-use computational tool is in demand to effectively analyze and integrate whole-brain mapping datasets. To that end, here we present CUBIC-Cloud, a cloud-based framework to quantify, visualize and integrate whole mouse brain data. CUBIC-Cloud is a fully automated system where users can upload their whole-brain data, run analysis and publish the results. We demonstrate the generality of CUBIC-Cloud by a variety of applications. First, we investigated brain-wide distribution of PV, Sst, ChAT, Th and Iba1 expressing cells. Second, A{beta} plaque deposition in AD model mouse brains were quantified. Third, we reconstructed neuronal activity profile under LPS-induced inflammation by c-Fos immunostaining. Last, we show brain-wide connectivity mapping by pseudo-typed Rabies virus. Together, CUBIC-Cloud provides an integrative platform to advance scalable and collaborative whole-brain mapping.

neuroscience↗

bioRxiv2020

Autocorrelation-based method to identify disordered rhythm in Parkinsons disease tasks: a novel approach applicable to multimodal devices

ObjectiveWe aim to propose a novel method of evaluating the degree of rhythmic irregularity during repetitive tasks in Parkinsons disease (PD) by using autocorrelation to extract serial perturbation in the periodicity of body part movements as recorded by objective devices. MethodsWe used publicly distributed sequential joint movement data recorded during a leg agility task or pronation-supination task. The sequences of body part trajectory were processed to extract their short-time autocorrelation (STACF) matrices; the sequences of single task conducted by participants were then divided into two clusters according to their similarity in terms of their STACF representation. The Unified Parkinsons Disease Rating Scale sub-score rated for each task was compared with cluster membership to obtain the area under the curve (AUC) to evaluate the discrimination performance of the clustering. We compared the AUC with those obtained from the clustering of the raw sequence or short-time Fourier transform (STFT). ResultsIn classifying the pose estimator-based trajectory data of the knee during the leg agility task, the AUC was the highest when the STACF sequence was used for clustering instead of other types of sequences with up to 0.815, being comparable to the results reported in the original analysis of the data using an approach different from ours. In addition, in classifying another dataset of accelerometer-based trajectory data of the wrist during a pronation-supination task, the AUC was again highest up to 0.785 when clustering was performed using the STACF rather than other types of sequence. ConclusionOur autocorrelation-based method achieved a fair performance in detecting sequences with irregular rhythm, suggesting that it might be used as another evaluation strategy that is potentially widely applicable to qualify the disordered rhythm of PD regardless of the kinds of task or the modality of devices, although further refinement is needed.

biophysics↗

bioRxiv2019

Biomimetic Aorta-Gonad-Mesonephros on-a-Chip to Study Human Developmental Hematopoiesis

We established a multilayer microfluidic Aorta-Gonad-Mesonephros (AGM)-on-a-chip to emulate developmental hematopoiesis from human pluripotent stem cells. We show that the AGM-chip efficiently derives endothelial-to-hematopoietic transition (EHT) in the presence of mesenchymal stroma and endothelial cells. The AGM-chip could dissect the cellular and molecular mechanisms of human developmental hematopoiesis.

bioengineering↗

bioRxiv2019

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator

ObjectiveGait movies recorded in daily clinical practice are usually not filmed with specific devices, which prevents neurologists benefitting from leveraging gait analysis technologies. Here we propose a novel unsupervised approach to quantifying gait features and to extract cadence from normal and parkinsonian gait movies recorded with a home video camera by applying OpenPose, a deep learning-based 2D-pose estimator that can obtain joint coordinates from pictures or videos recorded with a monocular camera.\n\nMethodsOur proposed method consisted of two distinct phases: obtaining sequential gait features from movies by extracting body joint coordinates with OpenPose; and estimating cadence of periodic gait steps from the sequential gait features using the short-time pitch detection approach.\n\nResultsThe cadence estimation of gait in its coronal plane (frontally viewed gait) as is frequently filmed in the daily clinical setting was successfully conducted in normal gait movies using the short-time autocorrelation function (ST-ACF). In cases of parkinsonian gait with prominent freezing of gait and involuntary oscillations, using ACF-based statistical distance metrics, we quantified the periodicity of each gait sequence; this metric clearly corresponded with the subjects baseline disease statuses.\n\nConclusionThe proposed method allows us to analyze gait movies that have been underutilized to date in a completely data-driven manner, and might broaden the range of movies for which gait analyses can be conducted.

neuroscience↗