Biology subjects

Miyano, M.

Publications and source records attributed to Miyano, M..

9 recordsLinked to original sources

bioRxiv2026

Ramelteon facilitates hippocampal ripple occurrence and amplitude in mice

The hippocampus is essential for memory consolidation, a process mediated by high-frequency oscillations known as ripples during non-rapid eye movement (NREM) sleep. Ramelteon, a selective MT1/MT2 receptor agonist, has been reported to possess cognitive-enhancing properties; however, its impact on the fine-scale dynamics of hippocampal ripples remains unclear. We performed chronic local field potential recordings from the dorsal hippocampus and prefrontal cortex in mice. Following the intraperitoneal administration of either vehicle or ramelteon, we evaluated sleep architecture and characterized ripple properties, including occurrence rate, amplitude, instantaneous frequency, and duration during NREM sleep. Ramelteon administration significantly increased NREM sleep occupancy. Notably, we found that ramelteon significantly enhanced both the occurrence rate and amplitude of hippocampal ripples compared to the control group. While a slight increase in intra-ripple frequency was observed, other structural features, such as ripple duration and asymmetry index, remained unaffected. Our findings demonstrate that ramelteon facilitates hippocampal ripple dynamics by increasing their occurrence and synchrony during NREM sleep. Given the critical role of ripples in memory consolidation, these neurophysiological changes may underlie the procognitive effects of ramelteon. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=55 SRC="FIGDIR/small/723673v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@77b58org.highwire.dtl.DTLVardef@132dbc1org.highwire.dtl.DTLVardef@1f98dc1org.highwire.dtl.DTLVardef@c9a3f2_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

Structural and Thermodynamic Determinants of Anti-PGE2 mAb Specificity

We investigated the molecular determinants underlying the highly specific recognition of prostaglandin (PG) E2 and its structural analogues by an anti-PGE2 monoclonal antibody (mAb) and its Fab fragment using high-resolution X-ray crystallography coupled with detailed thermodynamic analyses, including conditions that mimic macromolecular crowding. Crystal structures of the Fab fragment in complex with PGE2, PGE1, and ONO5 were determined at 1.9 [A], 1.7 [A], and 1.7 [A] resolution, respectively, and the antigen-free Fab structure was solved at 2.0 [A]. The Fab accommodates the L-shaped PG scaffold within a deep antigen-binding crevasse formed between the {beta}-sheet frameworks of the VH and VL domains, where ligand recognition is mediated by multiple water-bridged hydrogen bonds and extensive hydrophobic contacts, including putative CH-O and CH-{pi} interactions. Comparison of antigen-free and ligand-bound structures revealed compensatory conformational rearrangements accompanied by reorganization of bound water networks. Upon PG binding, a short 310 helix forms at the tip of CDR-H1, stabilized by a cluster of hydrogen bonds and capping water molecules. This helix formation is associated with rotation of the VL domain and an increased Fab elbow angle. The CDR-H1 loop undergoes a flip-in transition in which Phe29H inserts into a hydrophobic cavity while Glu31H is extruded toward solvent, accompanied by {pi}-{pi} stacking between Tyr27H and Tyr32H. These changes collectively reduce hydrophobic surface area and promote enthalpy-driven ligand binding. The flexible -chain of PGE1, lacking the C5-C6 double bond, adopts altered conformations that disrupt C1-carboxyl interactions with three aromatic residues and lead to closure of a secondary water channel, consistent with subtle but meaningful differences in binding thermodynamics and crystallographic temperature factors relative to PGE2 and ONO5. Isothermal titration calorimetry (ITC) revealed high-affinity, enthalpy-driven PG binding to the Fab, in agreement with differential scanning calorimetry (DSC), which showed increased thermal stability upon complex formation. Under macromolecular crowding conditions induced by high bovine serum albumin (BSA) concentrations, PG binding to the intact mAb--but not to the Fab--exhibited improved discrimination between PGE2 and PGE1, suggesting that reduced entropy-enthalpy compensation under crowding amplifies subtle structural mismatches in ligand binding.

molecular biology↗

bioRxiv2025

Nonlinear hippocampal coding of the pair-bonded partner in prairie voles

Neural representation of specific opposite-sex partners remains largely unexplored. Using monogamous prairie voles, we demonstrated that partner preference required the ventral hippocampus, in which 3-4 Hz oscillations were enhanced following partner interaction. We identified ventral hippocampal neurons responding selectively to the pair-bonded partner and stranger, which encoded identity-related information in a nonlinear manner, shedding light upon how mammalian brains create distinct neural representations of romantic opposite-sex partners.

neuroscience↗

bioRxiv2025

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells

BackgroundExisting breast cancer risk models inadequately identify individuals at latent risk, particularly among women without known genetic mutations or family history. Risk is often underestimated or overestimated due to reliance on population-level data and neglect of cellular aging and mechanobiological alterations. MethodsWe profiled primary human mammary epithelial cells (HMECs) from women of varying ages and risk backgrounds using mechano-node-pore sensing (mechano-NPS), a high-throughput microfluidic platform that captures single-cell mechanical properties. Using machine learning, we developed a classifier, MechanoAge, to predict age-related mechanical phenotypes and introduce a novel index, mechano-RISQ, to quantify deviations linked to breast cancer risk. We further assessed the cytoskeletal protein keratin 14 (KRT14) as a molecular mediator of these mechanical states through overexpression and knockdown experiments. FindingsCells from younger women carrying BRCA1/2 mutations or with a family history of breast cancer exhibited accelerated mechanical aging compared to age-matched controls. Elevated mechano-RISQ scores reflected an increased proportion of cells with "older" mechanical profiles. KRT14 overexpression induced an aged mechanical phenotype in younger cells, while knockdown partially reversed this state in older cells. CyTOF profiling and modeling showed KRT14 modulation impacted protein expression signatures associated with aging and risk, particularly in luminal cells. InterpretationMechanical properties of breast epithelial cells reflect biologic aging and cancer susceptibility. Mechano-RISQ offers a new approach for identifying individuals at elevated risk, especially among average-risk populations, and may complement existing risk models by incorporating biophysical measures of epithelial aging.

cancer biology↗

bioRxiv2024

Dopamine-induced Relaxation of Connectivity Diversifies Burst Patterns in Cultured Hippocampal Networks

The intricate interplay of neurotransmitters orchestrates a symphony of neural activity in the hippocampus, with dopamine emerging as a key conductor in this complex ensemble. Despite numerous studies uncovering the cellular mechanisms of dopamine, its influence on hippocampal neural networks remains elusive. Combining in vitro electrophysiological recordings of rat embryonic hippocampal neurons, pharmacological interventions, and computational analyses of spike trains, we found that dopamine induces a relaxation in network connectivity, characterised by a reduction in spike coherence. This relaxation expands the repertoire of burst dynamics within these hippocampal networks, a phenomenon notably absent under the administration of dopamine antagonists. Our study provides a thorough understanding of the roles of dopamine signalling in shaping functional networks of hippocampal neurons.

neuroscience↗

bioRxiv2022

Luminal epithelial cells integrate variable responses to aging into stereotypical changes that underlie breast cancer susceptibility

Effects from aging in single cells are unpredictable, whereas aging phenotypes at the organ- and tissue-levels tend to appear as stereotypical changes. The mammary epithelium is a bilayer of two major phenotypically and functionally distinct cell lineages, the luminal epithelial and myoepithelial cells. Mammary epithelia exhibit substantial stereotypical changes with age that merits attention because they are putative breast cancer-cells-of-origin. We hypothesize that effects from aging that impinge upon maintenance of lineage fidelity increases susceptibility to cancer initiation. We identified two models of age-dependent changes in gene expression, directional changes and increased variance, which contributed to genome-wide loss of lineage fidelity. Age-dependent variant responses were common to both lineages, whereas directional changes were almost exclusively detected in luminal epithelia and implicated downregulation of chromatin and genome organizers such as SATB1. Epithelial expression of gap junction protein GJB6 increased with age, and modulation of GJB6 expression in heterochronous co-cultures revealed that it provided a communication conduit from myoepithelial cells that drove directional change in luminal cells. Age-dependent luminal transcriptomes comprised a prominent signal detectable in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was predictive of breast cancer subtype. We speculate that luminal epithelia are the ultimate site of integration of the variant responses to aging in their surrounding tissue and that their emergent aging phenotype both endows cells with the ability to become cancer-cells-of-origin and embodies a biosensor that presages cancer susceptibility.

cancer biology↗

bioRxiv2021

Epigenetic changes with age primes mammary luminal epithelia for cancer initiation

Aging causes molecular changes that manifest as stereotypical phenotypes yet aging-associated diseases progress only in certain individuals. At lineage-specific resolution, we show how stereotyped and variant responses are integrated in mammary epithelia. Age-dependent directional changes in gene expression and DNA methylation (DNAm) occurred almost exclusively in luminal cells and implicated genome organizers SATB1 and CTCF. DNAm changes were robust indicators of aging luminal cells, and were either directly (anti-)correlated with expression changes or served as priming events for subsequent dysregulation, such as demethylation of ESR1-binding regions in DNAm-regulatory CXXC5 in older luminal cells and luminal-subtype cancers. Variance-driven changes in the transcriptome of both luminal and myoepithelial lineages further contributed to age-dependent loss of lineage fidelity. The pathways affected by transcriptomic and DNAm changes during aging are commonly linked with breast cancer, and together with the differential variability found across individuals, influence aging-associated cancer susceptibility in a subtype-specific manner.

cancer biology↗

bioRxiv2021

Deep Proteome Profiling of Human Mammary Epithelia at Lineage and Age Resolution

Age is the major risk factor in most carcinomas, yet little is known about how proteomes change with age in any human epithelium. We present comprehensive proteomes comprised of >9,000 total proteins, and >15,000 phosphopeptides, from normal primary human mammary epithelia at lineage resolution from ten women ranging in age from 19 to 68. Data were quality controlled, and results were biologically validated with cell-based assays. Age-dependent protein signatures were identified using differential expression analyses and weighted protein co-expression network analyses. Up-regulation of basal markers in luminal cells, including KRT14 and AXL, were a prominent consequence of aging. PEAK1 was identified as an age-dependent signaling kinase in luminal cells, which revealed a potential age-dependent vulnerability for targeted ablation. Correlation analyses between transcriptome and proteome revealed age-associated loss of proteostasis regulation. Protein expression and phosphorylation changes in the aging breast epithelium identify potential therapeutic targets for reducing breast cancer susceptibility.

cell biology↗

bioRxiv2020

Aging leads to stochastic loss of silencing at transposons in mammary luminal epithelial cells

Luminal epithelial cells (LEps) are a key cell lineage implicated in age-related luminal breast cancers. Alterations to the epigenome are a hallmark of aging cells. However, the extent of age-associated DNA methylation alterations in LEps, and the corresponding functional consequences of these alterations, have remained unclear. We report here that aging leads to distinct methylation changes in LEps. Luminal lineage-specific genes gain promoter methylation, whereas myoepithelial-specific genes lose promoter methylation. Regulatory elements display methylation changes at lineage-specific TF binding sites consistent with the loss of lineage fidelity. CpG islands (CGIs) and transposable elements (TEs) have stochastic methylation gain and loss, respectively. PRC2 target genes that are hypermethylated in luminal breast cancer exhibit stochastic methylation increase with age. TEs with stochastic methylation loss are activated in breast cancer and potentially function as regulatory elements contributing to the loss of lineage fidelity with age. Each of these classes of methylation changes impact the regulation of genes associated with luminal breast cancer. Altogether, our results indicate that aging leads to DNA methylation changes that could determine breast cancer susceptibility. SignificanceMammary luminal epithelial cells lose lineage-specific expression with age and accumulate stochastic methylation changes that lead to loss of silencing at transposable elements. These age-dependent events potentially promote breast cancer susceptibility.

genomics↗