Biology subjects

Kobayashi, K.

Publications and source records attributed to Kobayashi, K..

At least 19 recordsLinked to original sources

bioRxiv2026

Eco-evolutionary dynamics of sexually selected infanticide facilitate species coexistence

Understanding how biodiversity is maintained is a central question in community ecology. Modern coexistence theory predicts that stable coexistence occurs when stabilizing mechanisms are strong enough to overcome competitive ability differences. Recent studies suggest that adaptations to conspecific interactions may provide such a stabilizing mechanism when their demographic costs increase with conspecific density. We examined whether sexually selected male infanticide can promote species coexistence by generating density-dependent demographic costs. We developed a stage-structured eco-evolutionary model of two species competing for a shared resource, with infanticidal and non-infanticidal male strategies, and confirmed that the infanticidal strategy was maintained depending on the parameters related to intraspecific competition: the infanticide rate and its fecundity cost. In a competitively superior species, the infanticidal strategy, which imposed demographic costs that increase with conspecific density, was maintained at a sufficiently high frequency, thereby strengthening self-limitation and reducing the species' equilibrium density. This reduction increased the invasion growth rate of the inferior competitor and expanded the parameter region permitting stable coexistence. These results show that sexually selected infanticide favored at the individual level can generate population-level self-regulation and alter community-level coexistence.

ecology↗

bioRxiv2026

Thalamocortical credit routing from the basal ganglia and cerebellum: anatomical constraints and circuit principles

Animals learn to select actions that maximize reward in complex environments. A central challenge in this process is credit routing: behavioral outcomes must be routed back to the neural populations that contributed to generating the relevant actions. One possible route is through thalamocortical pathways conveying learning signals from the basal ganglia and cerebellum, where plasticity is shaped by reward-prediction errors. However, how these pathways route such signals back to specific cortical circuits remains unclear. To address this question, we combined anatomical circuit mapping in mice with closed-loop circuit modeling. Anterograde transsynaptic tracing revealed that thalamic neurons receiving input from the substantia nigra pars reticulata or the lateral cerebellar nucleus were largely segregated, with partial overlap in the ventromedial thalamus. Nevertheless, their cortical axons shared a pronounced enrichment in layer 1a, most prominently in secondary motor cortex. In a brain- wide synergistic loop-circuit model, learning was enhanced when both pathways delivered additive and gain-modulating feedback aligned with the cortical action readout. Local activity- based calibration established this alignment, whereas dendritic-spike- and reward-prediction- error-dependent thalamocortical plasticity further refined behavioral output. Module-specific feedback was essential for a brain-machine interface task requiring the simultaneous conditioning of multiple target neurons. Together, these findings define a credit-routing architecture in which laminar convergence, plastic alignment, and modular feedback link parallel subcortical learning systems to cortical action representations.

neuroscience↗

bioRxiv2026

Method-dependent biases in cell type detection between single-cell and single-nucleus RNA sequencing in the photosymbiotic acoel Praesagittifera naikaiensis

Background Comparisons of single-cell and single-nucleus RNA sequencing (scRNA-seq and snRNA-seq) data have been described in some mammalian tissues and, subsequently, in Drosophila, but remain unexplored in most invertebrate lineages. The xenacoelomorphs occupy key phylogenetic positions, yet they differ anatomically from mammals. They have a reduced extracellular matrix, high-salt body fluid, and no circulatory system. Despite these differences, they possess a well-developed nervous system. One of the xenacoelomorphs, the photosymbiotic acoel (Praesagittifera naikaiensis) also harbours symbiotic Tetraselmis algae, whose RNA can be co-captured with host RNA. Results We compared scRNA-seq and snRNA-seq data from whole P. naikaiensis specimens. Both methods yielded high-quality data with comparable gene detection but a larger share of scRNA-seq reads derived from symbiotic algae. Gene-level analyses revealed that neural genes were enriched in snRNA-seq relative to non-neural genes. Cross-method label transfer and integration-based validation identified six snRNA-seq clusters, including some neural populations, that lacked a clear scRNA-seq counterpart. In contrast, three cell populations, including muscle and metabolically active clusters, were reciprocally validated as captured by both methods. Conclusions Our results show that key snRNA-seq advantages, particularly the enhanced recovery of neural transcripts, are recapitulated in our dataset, which is consistent with previous reports in mammals. Furthermore, snRNA-seq reduces symbiont-derived reads and recovers several cell populations underrepresented in scRNA-seq. These findings provide practical guidance for cell atlas construction in non-model, symbiotic invertebrates.

genomics↗

bioRxiv2026

Multidimensional semantic representations emerge from multi-frequency representational similarity learning

Current theories of semantic representation are agnostic about how fine-grained neurophysiological activity corresponds to representation of multidimensional semantic information. By applying an innovative multivariate technique (representational similarity learning; RSL), we adjudicated three hypotheses: (1) that multidimensional semantic structure is represented within a single frequency range (e.g., gamma/high gamma); (2) that each semantic dimension is independently represented within a different frequency range; and (3) that multidimensional semantic information is "transfrequency" (at least some information emerges only when multiple frequencies are considered together). RSL was applied to time-frequency power and phase data extracted from electrocorticography (ECoG) grid electrodes on the surface of human ventral anterior temporal lobe (vATL). We found significant decoding of graded, multidimensional semantic information from a wide range of frequencies (4 - 200 Hz), but not from individual frequency bands, providing clear evidence that multidimensional semantic information is coded in a transfrequency fashion.

neuroscience↗

bioRxiv2026

Tissue-resolved photosynthetic responses in living leaves revealed by microscopic imaging-pulse-amplitude-modulation

Leaves of terrestrial plants possess heterogeneous anatomical structures composed of multiple cell layers. Although biochemical differences among leaf tissues have been inferred from protein analyses and anatomical studies, direct comparisons of dynamic photochemical responses among tissues while preserving their spatial context remain challenging. Leaves experience intrinsically heterogeneous environments because incident light enters primarily from above and propagates through complex internal leaf structures. Therefore, analyzing photosynthetic activity at the tissue and cellular levels is essential for understanding how photosynthesis operates within structurally heterogeneous leaves. Here, we combined live leaf-section imaging with microscopic Imaging-PAM chlorophyll fluorescence measurements to analyze photochemical responses at the tissue level in living leaf sections. In dorsiventral dicot leaves, palisade tissues exhibited a higher effective PSII quantum yield [Y(II)] and more rapid induction of regulated energy dissipation [Y(NPQ)] than spongy tissues, indicating higher photosynthetic capacity and photoprotective activity. In contrast, rice leaves, which lack palisade-spongy differentiation, showed uniform photochemical responses along the adaxial-abaxial axis. In the C4 plant finger millet, mesophyll and bundle sheath cells displayed distinct photochemical responses consistent with their functional differentiation in C4 photosynthesis. These results demonstrate that photosynthetic responses are spatially organized according to leaf anatomical structure. Although section-based measurements do not reproduce the native optical and gas environments of intact leaves, they enable the comparison of intrinsic tissue-specific photochemical properties under approximately equivalent illumination. The present approach enables tissue-resolved chlorophyll fluorescence analysis in living leaves, providing a new framework for investigating how leaf architecture shapes the spatial organization of photosynthetic activity.

plant biology↗

bioRxiv2026

Ultrastructural analysis of engineered rice lines reveals ferulate cross-linking as a key factor mediating lignocellulose supramolecular assembly in grass cell walls

Within the secondary cell walls of vascular plants, cellulose, hemicelluloses, and lignin associate via various covalent and non-covalent linkages to form an intricate supramolecular assembly. Although the chemical structures and cross-linking levels of the lignin- hemicellulose matrix exhibit substantial diversity in planta, precisely how these structural variations affect lignocellulose supramolecular assembly and macroscopic biomass properties remains largely elusive. Here, we conducted a comparative multi-scale ultrastructural analysis across engineered rice lines with targeted modifications in lignin aromatic composition and ferulate (FA)-mediated cell wall cross-linking levels. Combined solid-state nuclear magnetic resonance and wide-angle X-ray diffraction analyses revealed that depleting FA cross-linking disrupts cellulose crystalline structure and accelerates molecular mobility markedly more severely than altering the guaiacyl-to-syringyl (G/S) lignin ratio, generating a more loosened lignocellulose network. Small-angle X-ray scattering analysis further demonstrated that specific FA-depleted lines, but none of those with an altered G/S ratio, also exhibited disruptions in the nano- to mesoscale organization of cellulose microfibrils. Furthermore, FA- depleted lines generally displayed greater improvements in saccharification efficiency and more rapid thermal softening than G/S-lignin-altered lines, suggesting that disruptions in lignocellulose molecular assembly induced by FA depletion can broadly translate into macroscopic biomass properties. These findings establish a molecular basis for the pivotal role of FA cross-linking in dictating grass cell wall architecture, offering a promising structural target for advancing grass biomass utility and crop design.

plant biology↗

bioRxiv2026

Vorapaxar and aripiprazole suppress hepatitis B virus replication through distinct host signaling pathways

Background & AimsCurrent nucleos(t)ide analogs efficiently suppress hepatitis B virus (HBV) replication but have limited effects on viral transcription from covalently closed circular DNA (cccDNA) and integrated HBV DNA. We aimed to identify clinically applicable compounds that directly inhibit HBV transcription by screening FDA-approved drugs. Approach & ResultsScreening of 1,470 FDA-approved compounds using an HBV enhancer I/X promoter reporter system identified vorapaxar and aripiprazole as potent inhibitors of viral promoter activity. Both compounds suppressed HBV replication in HBV-producing cells, HBV-infected HepG2-hNTCP cells, and primary human hepatocytes. Aripiprazole reduced hepatocyte nuclear factor 4 (HNF4) protein levels through an ERK/JNK-dependent pathway and inhibited HBV core promoter activity, whereas vorapaxar acted independently of HNF4. Both compounds suppressed enhancer I/X promoter activity through inhibition of STAT3 signaling. Vorapaxar inhibited PAR-1-mediated SRC, EGFR, and STAT3 activation, while aripiprazole suppressed SRC-STAT3 signaling independently of EGFR. PAR-1 activation enhanced HBV transcription, whereas PAR-1 knockdown reduced promoter activity and viral RNA expression. Both compounds also reduced HBV replication in human liver chimeric mice at clinically relevant exposure levels without apparent severe toxicity. ConclusionsVorapaxar and aripiprazole suppress HBV transcription and replication through distinct host signaling pathways. These findings identify PAR-1-STAT3 signaling as a previously unrecognized regulator of HBV transcription and suggest that host-targeting approaches may complement current therapies by suppressing viral gene expression from both cccDNA and integrated HBV DNA. Impact and implicationsCurrent nucleos(t)ide analogues effectively suppress HBV reverse transcription but have limited effects on viral transcription from cccDNA and integrated HBV DNA, highlighting the need for therapies targeting viral gene expression. We identify PAR-1- STAT3 signaling as a previously unrecognized regulator of HBV transcription and demonstrate that two clinically approved drugs, vorapaxar and aripiprazole, suppress HBV replication through distinct host signaling pathways. These findings are relevant to researchers developing host-targeting antivirals and to clinicians seeking complementary therapeutic strategies beyond current nucleos(t)ide analogue therapy. Although further clinical validation and combination studies are required, our results provide a rationale for repurposing approved drugs and for developing transcription-targeting therapies that may complement existing treatments for chronic hepatitis B. HighlightsO_LIVorapaxar and aripiprazole suppress HBV through distinct host pathways. C_LIO_LIBoth drugs inhibit HBV replication in vitro and in humanized liver mice. C_LIO_LIPAR-1 inhibition reduces HBV transcription by blocking SRC/EGFR/STAT3 signaling. C_LIO_LIPAR-1-STAT3 signaling is a novel regulator of HBV transcription. C_LIO_LIHost-targeting antiviral therapy complements current HBV treatment. C_LI

pharmacology and toxicology↗

bioRxiv2026

Comparative analysis of transcriptomic liberality in 2,3,7,8-tetrachlorodibenzo-p-dioxin-exposed mouse liver RNA-Seq datasets

Omics methods have been envisioned to complement traditional toxicological testing for chemical risk assessment, in which identifying adverse effects is a critical step. However, the high dimensionality of transcriptomic data has historically led to reliance on context-dependent analysis. Liberality is a quantitative index that reduces genome-scale data dimensionality, with its changes reflecting underlying biological phenomena. In this study, we measured liberality in mouse liver RNA sequencing (RNA-Seq) datasets from studies in which mice were exposed to the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) every 4 days for 28 or 92 days, comparing dose-liberality relationships. Both 28- and 92-day TCDD treatments increased liberality but exhibited different dose-liberality relationships. Analysis of genes contributing to liberality revealed that longer exposure duration induced more extensive alterations in transcriptomic architecture. These findings suggest that liberality may serve as an unbiased metric to assess the extent of treatment-induced transcriptome perturbation.

pharmacology and toxicology↗

bioRxiv2026

Prior experience establishes a proactive cortical filter that blocks redundant associations

Prior experience allows selective learning by filtering out redundant cues, as exemplified by blocking, in which prior learning about one cue prevents a novel but redundant cue from being learned during subsequent compound conditioning. Top-down cortico-cortical pathways have been implicated in sensory filtering, but whether, how, and when they contribute to blocking remain unknown. Here we establish a head-fixed blocking paradigm in mice in which prior auditory cue-reward learning prevents a redundant somatosensory cue-reward association during subsequent compound conditioning. We found that a projection from anterior cingulate cortex (ACC) to primary somatosensory cortex (S1) facilitates blocking. Prior auditory learning establishes ACC-driven inhibitory control over S1 via parvalbumin neurons, before explicit somatosensory experience, thereby suppressing burst responses to the somatosensory cue, limiting network plasticity, and promoting blocking. These findings propose a proactive cortical filter that preconfigures inhibitory sensory bias to constrain future learning about redundant cues. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/736748v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@6e1c4org.highwire.dtl.DTLVardef@1d01b49org.highwire.dtl.DTLVardef@1af67fdorg.highwire.dtl.DTLVardef@d42d8d_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

A guaranteed-convergence algorithm for coupled leaf photosynthesis–transpiration–stomatal conductance models

The photosynthesis-transpiration-stomatal conductance (An-E-gs) model framework is widely used for estimating photosynthesis, transpiration, and stomatal conductance in plants. The model equations are solved by numerical iteration, and the converged model values are deemed the solution. However, there has been no general guarantee that the iterative procedure converges to a solution or that the procedure leads to convergence. Building on the recent proof of the existence of a unique set of solutions, we herewith propose a numerical algorithm that is guaranteed to converge to the solution for the An-E-gs model framework. We first analytically prove that the proposed algorithm necessarily converges to a solution. We then demonstrate the convergence across contrasting combinations of leaf temperature, relative humidity, light, atmospheric CO2, and wind speed. We further demonstrate rapid convergence with the algorithm: no more than ca. 10 iterations for approximately 10-3 mol CO2 m-2 s-1 precision in net photosynthesis and no more than ca. 20 iterations for 10-7 mol CO2 m-2 s-1 precision. By guaranteeing convergence to the solution, this algorithm eliminates concerns about nonconvergence in leaf gas-exchange calculations and is expected to serve as a robust foundation for a range of studies from leaf-level gas exchange to global-scale carbon and water cycle dynamics.

Plant Biology↗

bioRxiv2026

Genetic structures of the Japanese stone loach Barbatula oreas (Cypriniformes: Nemacheilidae) in Sakhalin and Hokkaido: back dispersal from Hokkaido to Sakhalin

Understanding how dispersal and vicariance shape species distributions is a central goal in biogeography, yet the role of islands as sources of continental diversity remains poorly resolved. While multiple dispersal routes from the Eurasian continent to the Japanese Archipelago have been proposed, back dispersal from islands to the mainland is rarely documented, particularly in primary freshwater taxa constrained by marine barriers. Here, we investigated the population genetic structure and phylogeographic history of the Japanese stone loach Barbatula oreas, distributed in Hokkaido and Sakhalin, using mtDNA, nDNA, and genome-wide SNP data. We identified two differentiated Northern and Southern lineages within Hokkaido that diverged during the Pleistocene, indicating that geological events such as paleo-catchment reorganization, mountain uplift, and volcanic activity have shaped the present population structure. Ancestral area reconstruction based on mtDNA phylogeny identified Hokkaido as the origin of B. oreas and revealed dispersal from Hokkaido to Sakhalin, indicating back dispersal from islands toward the mainland. This pattern contrasts with the prevailing hypothesis of southward colonization from the continent via Sakhalin to Hokkaido. Additionally, low genetic differentiation between Hokkaido and Sakhalin suggested genetic exchange across the strait, consistent with paleo-catchment reconstruction indicating past catchment connectivity between the regions. These results highlight the combined roles of geological dynamics and sea-level fluctuations in shaping genetic structure, challenge the conventional continent-to-island dispersal paradigm. Moreover, our study demonstrates that island systems can act as biodiversity sources--not merely sinks--and provides a rare empirical example of back dispersal in primary freshwater species.

Molecular Biology↗

bioRxiv2026

CRISPR-mediated Stxbp1 gene activation ameliorates epileptic and aggressive phenotypes in Stxbp1-haploinsufficient mice

Mutations in the syntaxin-binding protein 1 (STXBP1) gene, which encodes the presynaptic protein Munc18-1, cause a spectrum of severe epileptic encephalopathies and neurodevelopmental disorders, including Ohtahara syndrome, for which no curative treatment is currently available. Because the disease pathomechanism is thought to be driven by haploinsufficiency, restoring expression of the wild-type allele to physiological levels could provide therapeutic benefit. Here, we evaluated CRISPR-mediated transcriptional activation (CRISPR-ON), based on a dCas9-VPR transcriptional activator, as a strategy to upregulate endogenous Stxbp1 expression in a Stxbp1-haploinsufficient (Stxbp1+/-) mouse model. Screening of guide RNAs (gRNAs) targeting the Stxbp1 promoter in Neuro2A cells identified a multiplexed four-gRNA cassette that elevated Stxbp1 mRNA approximately six-fold. AAV-PHP.eB vectors co-expressing this 4xgRNA cassette and Cre recombinase under the EF1a promoter were administered intracerebroventricularly to neonatal Stxbp1+/-/dCas9-VPRfl/+ mice. CRISPR-ON treatment restored not only brain Stxbp1 mRNA but also Munc18-1 protein levels to those of wild-type controls. Electrocorticographic recordings revealed an approximately 50% reduction in the frequency of spike-wave discharges in CRISPR-ON-treated Stxbp1+/- mice compared with untreated Stxbp1+/- controls, and aggressive behavior in the resident-intruder test was also partially attenuated. In contrast, locomotor activity remained unaffected, indicating that CRISPR-ON treatment achieves selective rescue of disease-related phenotypes without inducing motor side effects. Together, these findings demonstrate that CRISPR-ON-mediated activation of endogenous Stxbp1 is a promising therapeutic strategy for STXBP1-related encephalopathies and support endogenous gene activation as a broadly applicable platform for haploinsufficiency disorders.

neuroscience↗

bioRxiv2026

Reduced cortico-accumbal excitatory input due to Nav1.2 haploinsufficiency impairs sociability independently of dopamine

Mutations in SCN2A, which encodes the voltage-gated sodium channel Nav1.2, are associated with a wide spectrum of neurodevelopmental and neuropsychiatric disorders, including epilepsy, autism spectrum disorder (ASD), and schizophrenia. Although dysfunction of SCN2A-dependent neural circuits has been implicated in these disorders, the circuit mechanisms underlying social behavioral abnormalities remain poorly understood. Here, we investigated the neural circuit basis of social behavioral deficits associated with Scn2a dysfunction, focusing on the nucleus accumbens (NAc), a key hub in cortico-limbic circuits that regulates emotional and motivational behaviors. Using conditional genetic and chemogenetic approaches in mice, we examined the roles of dorsal telencephalic excitatory neurons, including those in the cerebral cortex, hippocampus, and amygdala, as well as parvalbumin-positive fast-spiking interneurons (PV FSIs) in the NAc. Mice with Scn2a haploinsufficiency in dorsal telencephalic excitatory neurons (Scn2afl/+/Emx1-Cre) exhibited reduced sociability in the three-chamber social interaction test. Similarly, chemogenetic inhibition of NAc PV FSIs decreased sociability without affecting locomotor activity or anxiety-like behavior. Scn2afl/+/Emx1-Cre mice also showed a trend toward reduced prepulse inhibition of the acoustic startle response. Notably, dopamine release into the NAc in the Scn2afl/+/Emx1-Cre and systemic Scn2a heterozygous knockout (Scn2a+/-) mice was largely comparable to that in control mice. Together, these findings indicate that reduced activity of dorsal telencephalic excitatory neurons or NAc PV FSIs is sufficient to impair sociability independently of mesolimbic dopamine hypofunction. Our results highlight a potential role of cortico-accumbal circuits in social behavioral deficits associated with SCN2A dysfunction.

neuroscience↗

bioRxiv2026

Enzyme activity as an actionable axis for small-molecule precision oncology

Current precision oncology--molecular targeted therapies and immunotherapies--relies on genomic or expressed biomarkers, yet most cancer patients remain ineligible for these treatments. Here, we establish enzyme activity as an actionable and orthogonal axis for precision cancer medicine. Strategic activity-based screening of mouse organs and human clinical specimens with a panel of enzyme-reactive fluorescence probes identified {beta}-galactosidase 1 (GLB1) and {beta}-hexosaminidases (HEX) as broadly elevated tumor-selective biomarkers. Leveraging these activities, we developed 7-ethyl-10-hydroxycamptothecin (SN38)-based GLB1-and HEX-reactive prodrugs. These prodrugs exhibited dramatically reduced systemic toxicities and improved therapeutic windows, compared to a clinically used SN38-based prodrug, irinotecan (CPT-11). Both prodrugs demonstrated activity-dependent therapeutic efficacy, affording a dramatic reduction of tumor volumes across multiple in vivo models, including a subcutaneous patient-derived xenograft (PDX) of lung squamous cell carcinoma that lacked genetic alterations targeted by current precision medicine. Furthermore, this strategy is broadly applicable across various cytotoxic payloads, establishing a generalizable platform for small-molecule precision medicines. Our results define an enzyme-targeting paradigm for precision oncology, in which fluorescence probes serve as companion diagnostic tools to guide development and selection of appropriately targeted prodrugs, which are expected to provide safer and more efficacious treatment options for cancer patients with elevated enzyme activities.

cancer biology↗

bioRxiv2026

A Rapid and Universal Pipeline for High-Resolution GPCR Structure Determination through In Silico Construct Optimization and de novo Protein Design

G protein-coupled receptors (GPCRs) are critical regulators of human physiology and major drug targets. Although structural studies have provided valuable insights, determining GPCR structures remains challenging, especially for inactive state receptors. Recent advances in cryo-electron microscopy (cryo-EM) have enabled structural determination of small GPCRs by using fusion partner proteins and binders to increase molecular weight. However, current methods require extensive experimental screening of fusion constructs. Widely adopted strategies, such as BRIL-Fab complexes, also face limitations due to inherent flexibility. Here, we introduce a streamlined and universal pipeline that integrates an in silico fusion construct screening program, NOAH (NOAH: NOn-experimental, AI-assisted High-throughput construct screening), with a de novo designed fusion protein called ARK1 (ARtificially-designed fiducial marKer). We validate the efficacy of NOAH by determining the structures of the vasopressin V2 receptor (V2R) bound to the clinical antagonist tolvaptan and the partial agonist OPC51803, as well as the bradykinin B2 receptor (B2R) bound to the clinical antagonist icatibant, thereby elucidating their activation and deactivation mechanisms. Furthermore, we demonstrate the capability of NOAH-ARK1 by solving the tolvaptan-bound V2R structure at higher resolution and showcase the methods versatility by determining the structure of lysophosphatidic acid receptor 2 (LPA2) bound to the antagonist Ki16425. This approach eliminates the need for time-consuming and labor-intensive construct optimization, providing a rapid and widely applicable solution for high-resolution GPCR structure determination and drug discovery.

biophysics↗

bioRxiv2026

Reduced activity of nucleus accumbens parvalbumin-expressing fast- spiking inhibitory neurons causes convulsive seizures

Pathogenic mutations in STXBP1, which encodes Munc18-1, a synaptic protein essential for synaptic vesicle exocytosis and neurotransmission, and in SCN2A, which encodes the voltage-gated sodium channel Nav1.2 (II subunit), have been identified in patients with epilepsy. Although haploinsufficiency of either Stxbp1 or Scn2a in cortical excitatory neurons induces epileptic phenotypes in mice and a reduction of cortico-striatal, especially cortico-striatal parvalbumin-expressing fast-spiking interneurons (FSIs), excitatory transmission has been suggested to be the basis, the subcortical circuits remain poorly understood. In this study, we investigated which striatal subregions FSIs are responsible for the epileptic seizures. Using chemogenetic approach, we selectively suppressed FSI activity in either the nucleus accumbens (NAc) or the dorsal striatum (caudate-putamen, CPu) of mice. Suppression of FSIs in the NAc induced outwardly-recognized convulsive seizures accompanied by epileptiform discharges in the electrocorticographic (ECoG) analysis, whereas inhibition of FSIs in the CPu resulted in epileptiform discharges without overt convulsions. Notably, focal suppression of FSIs in either the anterior or medial region of the NAc shell (NAcSh), but not in other NAc subregions, was sufficient to trigger convulsive seizures. These findings identify FSIs in the anteromedial shell of the NAc as a critical hub for convulsive seizure generation and provide new insights into the striatal circuit mechanisms underlying STXBP1- or SCN2A-associated epilepsies.

neuroscience↗

bioRxiv2025

Structural basis and physiological significance of non-canonical Gs coupling to the prototypical Gi-coupled melatonin MT1 receptor

G protein-coupled receptors (GPCRs) transduce extracellular stimuli into intracellular signals by coupling to various heterotrimeric G proteins. However, the rules governing G protein preference remain largely elusive. MT1 and MT2 are prototypical Gi/o-coupled GPCRs responding to melatonin, a hormone secreted in a circadian manner. We show here that MT1, but not MT2, couples also to Gs proteins in vitro and activates the Gs/cAMP pathway upon long-term melatonin exposure in vivo, mimicking physiological dawn conditions. We solved the cryo-electron microscopy structure of the melatonin-MT1-Gs complex at 3.0[A] resolution, which revealed a strikingly distinct binding mode compared to the MT1-Gi complex. The third intracellular loop of MT1 emerges as a key stabilizer for Gs coupling, a feature previously unrecognized. This is the first solved receptor-Gs complex of a primary Gi-coupled GPCRs, providing new structural and functional insights into G protein selectivity and circadian switch of G protein coupling.

molecular biology↗

bioRxiv2025

Paw switching with lateralized cholinergic modulation

Motor preferences, such as handedness, reflect fundamental asymmetries in brain function and behavior across vertebrate species, including humans and rodents1. Although individual hand or paw preferences are typically stable, they can be reshaped through experience or training, underscoring the plasticity of lateralized motor circuits2. However, the neural mechanisms that enable this behavioral switching remain unclear. Here we show that experience-driven shifts in paw preference in mice arise from asymmetric cholinergic modulation between the two hemispheres. Using a behavioral paradigm designed to induce paw switching, we found that a subset of animals developed a stable change in preference following training. Selective activation or inhibition of cholinergic neurons on one side of the brain was sufficient to bias this switching behavior. During lateralized movements, an endogenous imbalance in cholinergic activity emerges between the hemispheres, suggesting that interhemispheric cholinergic asymmetry enables motor flexibility. These findings identify a previously unrecognized mechanism by which cholinergic signaling dynamically regulates lateralized motor control, providing insight into how hemispheric imbalances may shape persistent individual motor preferences.

neuroscience↗