Biology subjects

Nemoto, T.

Publications and source records attributed to Nemoto, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Fully Two-Photon-Driven RESOLFT Microscopy for Super-Resolution Imaging inside Tissue

Two-photon excitation (2PE) microscopy reaches deep into tissue but remains diffraction-limited, and existing 2PE-STED and 2PE-RESOLFT schemes still rely on single-photon depletion or photoswitching. Here we present 2P-RESOLFT microscopy, in which excitation and reversible photoswitching are both two-photon-driven. Using the positive photoswitchable protein Padron2, we achieved 205-nm lateral resolution and resolved previously unreported membrane protrusions of {beta} cells inside pancreatic pseudoislets.

biophysics↗

bioRxiv2026

Postmortem Alterations of Metabotropic Glutamate Receptors across Neuropsychiatric Disorders: A Systematic Review

Metabotropic glutamate receptors (mGluRs) regulate glutamatergic transmission and have been implicated in diverse neuropsychiatric disorders, but human postmortem evidence remains fragmented. We aimed to map these findings across diagnoses, receptor subtypes, brain regions, and measurement modalities. Following PRISMA guidelines, we systematically searched MEDLINE, EMBASE, and Web of Science from inception to August 8, 2026, for studies assessing GRM transcripts, as well as mGluR protein abundance, localization, assembly, or receptor binding in human postmortem brain tissue. Of 532 records identified, 57 reports met eligibility criteria. Findings were synthesized narratively because of substantial heterogeneity in diagnoses, brain regions, receptor subtypes, and assays. Postmortem evidence was concentrated on mGluR5, mGluR2/3, and mGluR1, and on the prefrontal cortex, anterior cingulate cortex, and hippocampus. mGluR-related alterations were reported across disorders, including schizophrenia, major depressive disorder, Alzheimer disease, autism spectrum disorder, and alcohol use disorder. Although most analyses yielded null findings, the direction and magnitude of mGluR alterations varied across brain regions, receptor subtypes, and molecular endpoints. This inconsistency may partly reflect the distinct biological levels captured by transcript abundance, total protein, receptor assembly, localization, and ligand binding, together with regional, cell-type, disease-stage, and clinical heterogeneity. The available evidence therefore suggests context-dependent alterations in mGluR biology but not a uniform or disorder-specific molecular signature. Integration of postmortem findings with other approaches, including in vivo imaging, may clarify their biological and clinical significance.

neuroscience↗

bioRxiv2026

In vivo brain temperature measurement using quantum dot imaging temperature sensors

Temperature regulation in the brain is essential for maintaining neuronal function and preventing thermally induced damage. Here, we report the development and in vivo application of quantum dots (QDs) to high-resolution thermometry in the mouse brain using two-photon excitation microscopy. These QDs, via the red-to-green photoluminescence (PL) intensity ratios, enabled stable temperature measurements in both normal and chronically hypo-perfused cerebral tissue. Our findings show that localized neuronal activity leads to transient heat generation, which is rapidly dissipated by cerebrovascular responses. In a chronic hypoperfusion model, impaired vascular function resulted in exaggerated and prolonged brain temperature elevations. This thermometry system provides unprecedented insight into the mechanisms of cerebral thermoregulation and highlights the importance of vascular cooling in protecting the brain from heat-induced stress, particularly in pathological conditions such as stroke.

bioengineering↗

bioRxiv2026

Viability of engineered AAVs via protein language models

Capsid engineering has greatly improved the performance of recombinant AAV vectors used for gene therapy. One commonly used strategy is the insertion of a short, 7-mer, peptide into surface-exposed loops to modify receptor interactions and enhance cell entry. While effective in receptor retargeting and improved transduction, these insertions might destabilize the capsid protein, hinder assembly, and thus limit production. While previous attempts have used deep mutational scanning and AI to predict which insertions are viable, there is lack in understanding the structural consequences of these peptide insertions at the amino-acid level. Here we combined experiments, deep sequencing and large protein language models to gain insight on the impact of 7-mer insertions on the VR-VIII region. We first characterize the biochemical properties of viable insertions, thus identifying which residues are well tolerated, and which should instead be avoided. We then focus on the nearby context of those insertions, by studying the effect of the linkers, either for highly diverse libraries or for individual variants known for their efficiency. Next, we study the broader context, by extending our analysis to the whole capsid sequence, and identifying regions that can tolerate insertions without long-ranged structural deformations that could affect capsid functionality. We conclude with a cross-serotype comparison and a viability analysis of tens of previously engineered variants. Our work showcases how AI can uncover structure-function rules governing the success of engineered AAV capsids.

bioinformatics↗

bioRxiv2026

A Data-Driven Correction Framework for Axial- and Radial-Position-Dependent Intensity Attenuation in Volumetric Fluorescence Microscopy

Accurate quantification of fluorescence signals in three-dimensional (3D) microscopy is often hindered by axial- and radial-position-dependent attenuation, limiting reliable measurements in live biological specimens. Here, we present a data-driven statistical correction model that compensates for signal loss arising from axial- and radial-position in 3D time-lapse imaging of Caenorhabditis elegans embryos. Our framework incorporates axial position (imaging depth, z), radial position (distance from the center of the field of view, r), together with cell cycle progression, to recover cell-specific fluorescence intensities independent of axial- and radial-positions. By leveraging repeated observations of biologically comparable states, the model infers attenuation directly from the data without requiring external calibration. Notably, the sign of the inferred radial-position-dependence in biological specimens was opposite to that observed in homogeneous fluorescent reference samples, underscoring the value of specimen-specific, data-driven correction. Validation using histone-tagged fluorescent proteins demonstrated that the method effectively removes geometric bias in nuclear fluorescence signals, enabling consistent quantification across cells and embryos. This approach provides a robust and generalizable solution for correcting intensity attenuation in volumetric microscopy datasets, thereby enabling more accurate and reproducible quantitative analyses in live imaging studies. Author summaryModern microscopy lets us watch living cells and embryos in three dimensions, but measuring brightness accurately is harder than it seems. Signals often become weaker not only when molecules are less abundant, but also when they lie deeper in the specimen or farther from the center of the image. This makes it difficult to tell whether differences in brightness reflect biology or simply the position of a cell within the microscope field. Existing correction methods typically rely on separately acquired reference measurement samples or on image-level statistical patterns. In this study, we took a different approach. Using the highly reproducible development of nematode (C. elegans) embryos, we compared cells that should be biologically equivalent across multiple embryos and used those repeated observations to estimate imaging bias directly from the biological images themselves. Our method corrects for both axial-dependent and radial attenuation simultaneously within a unified statistical framework, requiring no such reference data. Beyond simply improving consistency, we uncovered an unexpected result: the radial bias inferred from real embryos was opposite in sign to what calibration samples would predict. This underscores the need for specimen-specific, data-driven correction. Our framework should help make live imaging more quantitatively accurate for studying dynamic biological processes in complex three-dimensional specimens.

cell biology↗

bioRxiv2025

NADPH phosphatase activity of Mesh1 controls sleep in Drosophila

Recent findings have shown that metazoans accumulate the bacterial second messenger guanosine tetraphosphate (ppGpp) and possess Mesh1, a gene encoding a ppGpp hydrolase domain. Mesh1 deficiency affects sleep behavior and eclosion under starvation in Drosopila, and ferroptosis in human cells. However, human Mesh1 also exhibits NADPH/NADP+ phosphatase activity in vitro, making it unclear whether these phenotypes result from loss of ppGpp hydrolysis, NADPH/NADP+ dephosphorylation, or both. To address this, we performed biochemical and genetic analysis of Drosophila Mesh1. We first found that Drosophila Mesh1 dephosphorylates NADPH, but not NADP+, in vitro. We subsequently sought to generate Drosophila Mesh1 point mutants specifically impaired in NADPH phosphatase activity. Based on structural data, we mutated W138 and R142, residues that are predicted to interact with NADPH but not ppGpp. W138 was replaced with phenylalanine results in complete loss of NADPH phosphatase activity with retained ppGpp hydrolase activity. Flies carrying the W138F mutation, introduced via genome editing, exhibited shortened total sleep and increased sleep fragmentation in behavioral assays, without changes in intracellular ppGpp levels. These results indicate that the NADPH phosphatase activity of Mesh1, and specifically the W138 residue, is essential for normal sleep regulation in Drosophila.

molecular biology↗

bioRxiv2025

OddSNP: a predictive framework for optimizing multiplexed single-cell RNA-seq experiments

Donor multiplexing is a powerful strategy to increase scale, lower the costs, and reduce batch effects in single-cell RNA sequencing (scRNAseq), but clear guidelines for experimental design are lacking, forcing researchers to risk costly demultiplexing failures. To address this, we introduce SNP-Information Content (SNP-IC), a quantitative metric computable from simple unpooled pilot data that accurately predicts the success of genotype-based demultiplexing. Across multiple large-scale datasets using stem cell and organoid models, we establish a robust SNP-IC threshold of approximately 50, above which cells can be reliably assigned to their donor of origin. For more challenging genotype-free approaches, we define a pairwise metric, cpSNP-IC, and demonstrate a much higher requirement of approximately 3,000. Our open-source framework, oddSNP, implements this predictive model, allowing researchers to perform in silico titrations of sequencing depth and donor complexity to optimize experimental design before committing to large-scale studies. oddSNP provides a practical framework, enabling researchers to strategically optimize sequencing depth and donor numbers to maximize experimental success while managing costs and minimizing the risk of catastrophic data loss.

bioinformatics↗

bioRxiv2025

Artificial hibernation uncovers distinct synaptic engram architecture for memory retention

The memory trace at the neuronal and synaptic levels remains controversial. Stable, larger spines are thought to support memory, but the high turnover of dendritic spines and the drifting of neuronal representations following memory formation suggest alternative possibilities. To elucidate a structural trace underlying memory retention, we utilize a mouse model of artificial hibernation. During hibernation, hippocampal neurons exhibited a substantial reduction in their activity and an extensive elimination of dendritic spines and synapses. Despite these changes, their memory and associated hippocampal neuronal representations are intact after arousal. We find that a subset of spines is maintained during hibernation. These spatially clustered engram-engram synapses are exclusively protected from elimination and characterized by synaptic contacts with multi-synaptic boutons. These findings suggest that synaptic engram architecture, rather than larger spines per se, is resilient to network remodeling and underlies long-term memory retention.

neuroscience↗

bioRxiv2025

Emergence of cell polarity by reciprocal interactions between Wnt and core PCP components

Planar cell polarity (PCP) is established by asymmetric localization of core PCP components in each cell. Since some Wnt proteins can induce PCP in vertebrates, it has been proposed that Wnt concentration gradients provide spatial cues for polarization. Here, however, we present evidence that Wnt11 can regulate PCP in a gradient-independent manner. In the neural plate of Xenopus embryos, endogenous Wnt11 does not form an obvious gradient in the direction of PCP, but is polarized at cell boundaries together with core PCP components. Wnt11 polarization is dependent on core PCP components, while polarization of core PCP components can also be induced by Wnt11, indicating a mutual amplification loop between Wnt11 and core PCP components in PCP formation. Furthermore, Wnt11 and core PCP components compose an intercellular loop to coordinate the direction of polarity. Thus, we propose that local and reciprocal interactions between Wnt11 and core PCP components can generate PCP.

developmental biology↗

bioRxiv2025

In vivo deep-brain microscopy at submicrometer resolution with refractive index-matched prism interfaces

The mammalian brain is a thick and densely layered structure comprising a huge number of neurons that work together to process information and regulate brain functions. Although various optical methods have been developed to investigate deep brain dynamics, they are limited by technical constraints, invasiveness, suboptimal spatial resolution, and/or a restricted field of view. To overcome these limitations, we developed an implantable, optically optimized microprism interface with a refractive index matched to that of brain tissue and water, enabling minimally-invasive, wide-field two-photon imaging method with enhanced brightness and sub-micron resolution in deep prefrontal areas.

neuroscience↗

bioRxiv2025

Cellular Responses to Photothermal Therapy: Heat-Induced ERK Signaling and Intercellular Communication in Solid Tumors

Nanoparticle-mediated photothermal therapy (PTT) shows promise as a standalone cancer treatment but faces clinical challenges due to inconsistent efficacy. Its translation is further hindered by a limited understanding of plasmon-induced heat effects, such as stress responses and intercellular signaling. Here, we investigate how plasmon-induced local heating affects cellular behavior and fate within tumor spheroids by focusing on the activity of the extracellular signal-regulated kinase (ERK). Spheroids were prepared from HeLa cells that express a FRET-based ERK sensor, and ERK activity changes under photothermal stimuli were tracked using a deep-learning program, 3DeeCellTracker. Gold nanostars were used as highly efficient photothermal transducers. Our results revealed significant alterations in ERK signaling patterns upon photothermal stimulation compared to spontaneous ERK activity in untreated spheroids, including changes in the activation frequency, timing, and duration. Notably, photothermal-induced ERK activity propagated across neighboring cells within the spheroid, suggesting intercellular communication. Furthermore, analysis of cell death and division further demonstrated that laser power modulates cellular fate during photothermal therapy. This study provides insights for predicting the therapeutic effects of PPT and guides the rational design of next-generation photothermal strategies. Additionally, our approach demonstrates the potential of FRET-based biosensors and deep-learning tools as powerful methods to study the effects of various therapeutic stimuli on solid tumors at the single-cell level.

cancer biology↗

bioRxiv2024

Amyloid-β-induced Alteration of Fast and Localized Calcium Elevations in Cultured Astrocytes

Alzheimers disease (AD) is a progressive neurodegenerative disorder that causes cognitive decline. Uncovering the mechanisms of neurodegeneration in the early stages is essential to establish a treatment for AD. Recent research has proposed the hypothesis that amyloid-{beta} (A{beta}) oligomers elicit an excessive glutamate release from astrocytes toward synapses through intracellular free Ca2+ ([Ca2+]i) elevations in astrocytes, finally resulting in neuronal dendritic spine loss. Under physiological conditions, astrocytic [Ca2+]i elevations range spatially from microdomains to network-wide propagation and temporally from milliseconds to tens of seconds. Astrocytic localized and fast [Ca2+]i elevations might correlate with glutamate release; however, the A{beta}-induced alteration of localized, fast astrocytic [Ca2+]i elevations remains unexplored. In this study, we quantitatively investigated the A{beta} dimers-induced changes in the spatial and temporal patterns of [Ca2+]i in a primary culture of astrocytes by two-photon excitation spinning-disk confocal microscopy. The frequency of fast [Ca2+]i elevations occurring locally in astrocytes ([≤]0.5 s, [≤]35 {micro}m2) and [Ca2+]i event occupancy relative to cell area significantly increased after exposure to A{beta} dimers. The effect of A{beta} dimers appeared dose-dependently above 500 nM, and these A{beta} dimers-induced [Ca2+]i elevations were primarily mediated by a metabotropic purinergic receptor (P2Y1 receptor) and Ca2+ release from the endoplasmic reticulum. Our findings suggest that the A{beta} dimers-induced alterations and hyperactivation of astrocytic [Ca2+]i is a candidate cellular mechanism in the early stages of AD.

neuroscience↗

bioRxiv2024

Optimal sequencing depth for measuring the concentrations of molecular barcodes

In combinatorial genetic engineering experiments, next-generation sequencing (NGS) allows for measuring the concentrations of barcoded or mutated genes within highly diverse libraries. When designing and interpreting these experiments, sequencing depths are thus important parameters to take into account. Service providers follow established guidelines to determine NGS depth depending on the type of experiment, such as RNA sequencing or whole genome sequencing. However, guidelines specifically tailored for measuring barcode concentrations have not yet reached an accepted consensus. To address this issue, we combine the analysis of NGS datasets from barcoded libraries with a mathematical model taking into account the PCR amplification in library preparation. We demonstrate on several datasets that noise in the NGS counts increases with the sequencing depth; consequently, beyond certain limits, deeper sequencing does not improve the precision of measuring barcode concentrations. We propose, as rule of thumb, that the optimal sequencing depth should be about ten times the initial amount of barcoded DNA molecules before any amplification step.

bioinformatics↗

bioRxiv2024

Body temperature regulates glucose metabolism and torpid

Glucose is a significant energy resource for maintaining physiological activities, including body temperature homeostasis, and glucose homeostasis is tightly regulated in mammals. Although ambient temperature tunes glucose metabolism to maintain euthermia, the significance of body temperature in metabolic regulation remains unclear owing to strict thermoregulation. Activation of Qrfp neurons in the preoptic area induced a harmless hypothermic state known as Q-neuron-induced hypothermia and hypometabolism (QIH), which is suitable for studying glucose metabolism under hypothermia. In this study, we first observed that QIH mice had hyperinsulinemia and insulin resistance. This glucose hypometabolic state was abolished by increasing the body temperature to euthermia. Moreover, QIH-mediated inappetence and locomotor inactivity were recovered in euthermia QIH mice. These results indicate that body temperature is considerably more powerful than ambient temperature in regulating glucose metabolism and behavior, and hypometabolism in QIH is secondary to hypothermia rather than modulated by Qrfp neurons. HighlightsO_LIQIH reorganizes glucose homeostasis which is unchanged by fasting. C_LIO_LIQIH mice exhibit glucose hypometabolism with hyperinsuliemia and insulin resistance. C_LIO_LIIncreased body temperature abolishes QIH-mediated hypometabolism and torpid behaviors. C_LIO_LIBody temperature is a strong factor in controlling metabolism and behavior. C_LIO_LIBody temperature-mediated glucose metabolism is reversible. C_LI

physiology↗

bioRxiv2023

Actin dynamics switches two distinct modes of endosomal fusion in yolk sac visceral endoderm cells

Membranes undergo various patterns of deformation during vesicle fusion, but how this membrane deformation is regulated and contributes to fusion remains unknown. In this study, we developed a new method of observing the fusion of individual late endosomes and lysosomes by using yolk sac visceral endoderm cells that have huge endocytic vesicles. We found that there were two distinct fusion modes that were differently regulated. In homotypic fusion, two late endosomes fused quickly, whereas in heterotypic fusion they fused to lysosomes slowly. Mathematical modeling showed that vesicle size is a critical determinant of these fusion types and that membrane fluctuation forces can overcome the vesicle size effects. We found that actin filaments were bound to late endosomes and forces derived from dynamic actin remodeling were necessary for quick fusion during homotypic fusion. Furthermore, cofilin played a role in endocytic fusion by regulating actin turnover. These data suggest that actin promotes vesicle fusion for efficient membrane trafficking in visceral endoderm cells.

cell biology↗

bioRxiv2023

Autophagosome development and chloroplast segmentation occur synchronously for piecemeal degradation of chloroplasts

Plants distribute many nutrients to chloroplasts during leaf development and maturation. When leaves senesce or experience sugar starvation, the autophagy machinery degrades chloroplast proteins to facilitate efficient nutrient reuse. Here, we report on the intracellular dynamics of an autophagy pathway responsible for piecemeal degradation of chloroplast components. Through live-cell monitoring of chloroplast morphology, we observed the formation of chloroplast budding structures in sugar-starved leaves. These buds were then released and incorporated into the vacuolar lumen as an autophagic cargo termed a Rubisco-containing body. The budding structures did not accumulate in mutants of core autophagy machinery, suggesting that autophagosome creation is required for forming chloroplast buds. Simultaneous tracking of chloroplast morphology and autophagosome development revealed that the isolation membranes of autophagosomes interact closely with part of the chloroplast surface before forming chloroplast buds. Chloroplasts then protrude at the site associated with the isolation membranes, which divide synchronously with autophagosome maturation. This autophagy-related division does not require DYNAMIN-RELATED PROTEIN 5B, which constitutes the division ring for chloroplast proliferation in growing leaves. An unidentified division machinery may thus fragment chloroplasts for degradation in coordination with the development of the chloroplast-associated isolation membrane.

plant biology↗

bioRxiv2023

Ether phospholipids modulate somatosensory responses by tuning multiple receptor functions in Drosophila

Transient receptor potential (TRP) and PIEZO channels are known receptors for physical stimuli, such as temperature and mechanical touch, respectively, in sensory nerves. As these receptors are localized in the plasma membrane, the modulation of sensory receptor activity by plasma membrane lipids has recently attracted attention. In this study, we focused on ether phospholipids (ePLs), which are abundant in neurons, and analyzed their role in somatosensation using Drosophila as a model. Reduced mechanosensory behavior was observed with ePL synthesizing gene knockout or knockdown in mechano-sensitive PIEZO-expressing neurons. The activation of PIEZO channels was significantly augmented in the presence of ePLs. Furthermore, we observed that ePLs modulate the thermosensory behavior and reduce thermal threshold of the thermosensitive TRPA1 channels. Finally, we revealed that ePLs affect membrane tension and lipid order of the plasma membrane in culture cells. Our study identified ePLs as a modulator of multiple somatosensation modalities in Drosophila, which underscore the significance of functional interaction between membrane lipid and sensory channel proteins.

molecular biology↗

bioRxiv2023

Tight junction membrane proteins regulate the mechanical resistance of the apical junctional complex

Epithelia must be able to resist mechanical force to preserve tissue integrity. While intercellular junctions are known to be important for the mechanical resistance of epithelia, the roles of tight junctions (TJs) remain to be established. We previously demonstrated that epithelial cells devoid of the TJ membrane proteins claudins and JAM-A completely lack TJs and exhibit focal breakages of their apical junctions. Here, we demonstrate that apical junctions undergo spontaneous fracture when claudin/JAM-A-deficient cells are exposed to mechanical stress. The junction fracture was accompanied by actin disorganization, and actin polymerization was required for apical junction integrity in the claudin/JAM-A-deficient cells. Further deletion of CAR resulted in the disruption of ZO-1 molecule ordering at cell junctions, accompanied by severe defects in apical junction integrity. These results demonstrate that TJ membrane proteins regulate the mechanical resistance of the apical junctional complex in epithelial cells. SummaryTight junction membrane proteins claudins, JAM, and CAR coordinately regulate the nanometer-scale organization of ZO-1 molecules, and are required for the mechanical resistance of apical junctions in epithelial cells.

cell biology↗