Biology subjects

Wang, Q.

Publications and source records attributed to Wang, Q..

At least 109 records · Page 6Linked to original sources

bioRxiv2026

Oxytocin mediates the acquisition and strategy formation of cooperation in rats

Cooperative behaviors are widespread in nature and play fundamental roles throughout animal lifespans. However, the learning processes and strategy formation underlying cooperation remain largely unknown. Oxytocin (OXT) is a neuropeptide that regulates both social and non-social behaviors, yet its roles in modulating cooperative behaviors remain to be fully elucidated. To investigate these questions, we developed a temporal coordination-based cooperative paradigm for rats and manipulated the OXT system during training. Through progressive cooperative training, rats acquired cooperation and efficiently performed the task via social interaction. This learning process was accompanied by increased OXT release in social learning-associated brain regions, whereas OXT knockout impaired learning speed. Furthermore, rats displayed different cooperative strategies, with the communication-based strategy gradually increasing and becoming predominant during the cooperative training. Both OXT knockout and inhibition of OXT-ergic neurons in the paraventricular nucleus (PVN) of the hypothalamus during learning reduced the adoption of communication-based strategy. Together, our results demonstrate that OXT is necessary for both the acquisition and the strategy formation of cooperation in rats, thereby facilitating mutual rewards. These findings provide new insights into the neural mechanisms by which OXT regulates social behaviors and offer potential therapeutic implications for neuropsychiatric disorders involving social deficits, such as autism spectrum disorder and social anxiety disorder.

neuroscience↗

bioRxiv2026

Interpretable AI driven materiomics to decode microenvironmental cues for stem cell immunomodulation

Hydrogels that mimic the extracellular matrix create microenvironments containing diverse physicochemical cues that regulate stem cell fate, particularly their immunomodulatory and pro-regenerative functions. However, elucidating how microenvironmental cues regulate cell fate remains challenging because of complex multi-parameter interactions and nonlinear relationships, thereby requiring large numbers of samples and substantial experimental effort. Here, we present a materiomics platform that integrates a large-scale systematic dataset with artificial intelligence (AI) to evaluate and predict optimal stem cell niche features for enhancing the immunomodulatory functions of mesenchymal stem cells (MSCs). Specifically, binary hydrogels composed of methacrylated alginate and gelatin (AMGM) were used to construct a comprehensive materiomics database incorporating seven critical physicochemical cues associated with MSC-mediated regulation of macrophage polarization. Machine learning models trained on this materiomics database successfully predicted hydrogel formulations that enhanced MSC immunomodulatory efficacy and further identified matrix stiffness as the physicochemical cue with the greatest contribution to MSC-mediated immunomodulation within the AMGM hydrogel system. In summary, this study demonstrates the utility of AI for evaluating the relative contributions of microenvironmental cues and establishes a data-driven research framework for investigating microenvironmental regulation of stem cell function.

bioengineering↗

bioRxiv2026

A novel proliferative candidate genes panel for idiopathic pulmonary fibrosis: insights from integrated bulk and single-cell RNA sequencing

BackgroundIdiopathic pulmonary fibrosis (IPF) remains a fatal interstitial lung disease with limited diagnostic specificity and therapeutic options. This study integrates bulk and single-cell RNA sequencing (RNA-seq) to identify novel biomarkers and elucidate molecular mechanisms underlying IPF pathogenesis. MethodsWe prospectively enrolled 14 treatment-naive IPF patients and 6 controls. Bulk RNA-seq was performed on bronchoalveolar lavage fluid (BALF), while single-cell RNA-seq analyzed lung tissues from 4 IPF patients and 3 controls. Differentially expressed genes (DEGs) were identified (|log2FC| >1, FDR <0.05), followed by functional enrichment, protein-protein interaction (PPI) network analysis, and cell-type-specific expression profiling. Results1. DEG Identification: Bulk RNA-seq revealed 108 DEGs (24 upregulated, 84 downregulated). KEGG enrichment analysis of DEGs revealed that upregulated genes were mainly enriched in inflammation and immune pathways (such as NF-{kappa}B signaling pathway, Fc epsilon RI signaling pathway, B cell receptor signaling pathway, phagosome, Fc gamma R-mediated phagocytosis), pyrimidine metabolism, cell cycle, and PI3K-Akt signaling pathway. 2. PPI Network: Module analysis identified a proliferative gene module 1 (NUF2, CEP55, ANLN, TTK, TK1, MYBL2, CCNA2, RRM2, CDT1) linked to cell division and cycle regulation. 3. Single-Cell Insights: scRNA-seq of 30,477 cells delineated 11 populations. Module 1 genes exhibited predominant expression in proliferating cells, Module 1 signature score of proliferating cells was significantly higher in IPF than in control group. 4. Pathogenic Links: Key genes (e.g., CEP55, TTK) were associated with PI3K/AKT signaling, epithelial-mesenchymal transition (EMT), and anti-apoptotic pathways, mirroring oncogenic mechanisms. ConclusionThis multi-omics approach uncovers a proliferation-centric gene module in IPF, revealing shared molecular pathways with tumorigenesis. Our findings highlight novel diagnostic biomarkers and suggest repurposing cell cycle inhibitors as potential therapies. Future studies should validate these targets in preclinical models to advance precision medicine for IPF.

genetics↗

bioRxiv2026

Structural Rewiring of IL-7R Dimerization by an Oncogenic Transmembrane Mutation Can Be Reversed by Rational Design

Mutations within the transmembrane domains (TMDs) of single-pass transmembrane receptors often cause aberrant, ligand-independent receptor signaling associated with diverse malignancies, but their mechanism of action remain largely unknown. These TMD mutations are generally not targetable as they are buried in membrane. Here, we determined the mechanism of a gain-of-function (GOF) TMD mutation of interleukin-7 receptor (IL-7R) associated with T-cell acute lymphoblastic leukemia, and addressed the possibility of directly targeting the TMD mutation by using rationally designed transmembrane helices to restore order to uncontrolled signaling. We find that the GOF mutation of IL-7R severely shifts the TMD homodimerization interface, causing the receptor to homodimerize in a geometry that activates downstream signaling independent of ligand. Designed transmembrane helices that interfere with the new interface, delivered with mRNA technology, selectively block ligand-independent but not ligand-dependent signaling. Our study provides a conceptual framework for understanding and repairing disease-causing TMD mutations of single-pass cytokine receptors.

biophysics↗

bioRxiv2026

Antibody Responses Against Coronaviruses in the Wuhan Population

Prolonged circulation of SARS-CoV-2 may broaden population-level neutralizing antibody responses to diverse coronaviruses; however, the extent of this breadth remains unclear. To address this gap, we assessed serum neutralizing activity in 869 individuals from Wuhan, China, including 78 pre-pandemic samples collected in 2017 and 791 post-pandemic samples obtained in 2025. Specifically, using pseudovirus neutralization assays, sera were tested against a panel of coronaviruses, including circulating SARS-CoV-2 Omicron subvariants XFG and NB.1.8.1. Neutralization was measured at a fixed dilution for all samples and by determination of 50% inhibitory dilution (ID50) for selected sera. In parallel, antigenic cartography and genetic distance analyses were applied to relate functional antigenic relationships to spike protein divergence. Our results showed that, compared with pre-pandemic sera, post-pandemic sera exhibited enhanced neutralizing activity against multiple sarbecoviruses and the merbecovirus MjHKU4r-CoV-1, with mean inhibition increases ranging from 1.7% to 76.5% at a 1:20 dilution. Notably, the largest increases from 51.8% to 76.5% were observed against clade 1b sarbecoviruses. In contrast, neutralizing activity against human alphacoronaviruses and MERS-CoV showed no meaningful enhancement. Moreover, neutralizing titers in post-pandemic sera were strongly correlated across sarbecoviruses, particularly among clade 1b viruses. Antigenic mapping further revealed that several zoonotic sarbecoviruses were antigenically closer to ancestral SARS-CoV-2 than contemporary Omicron subvariants, despite substantially greater genetic divergence. Taken together, these findings demonstrate that cumulative SARS-CoV-2 exposure promotes broadly cross-neutralizing antibody responses within the sarbecovirus subgenus and provide a quantitative framework to inform the rational design of pan-sarbecovirus vaccines and antibody-based countermeasures for future coronavirus preparedness.

microbiology↗

bioRxiv2026

MNS induces antiviral protection and suppresses inflammation

BackgroundIdentifying safe and broad-spectrum antiviral and anti-inflammatory agents remains an urgent need in infectious and inflammatory diseases. Here, we demonstrated that MNS (NSC170724), a small-molecule nitrovinyl benzodioxole, enhanced antiviral defense while limiting excessive inflammation. MethodsThe antiviral activity of MNS was evaluated in multiple cell lines and mouse infection models across DNA and RNA viruses. Virus-induced and LPS-induced inflammatory responses were assessed using RT-qPCR, ELISA and western blotting. Bulk RNA-seq and ATAC-seq were performed to define transcriptional and epigenetic mechanisms. ResultsMNS significantly suppressed viral infection in vitro and improved survival in four lethal viral infection models, accompanied by reduced viral loads and attenuated tissue injury. MNS also diminished virus-triggered and LPS-triggered inflammatory cytokine production in macrophages and multiple mouse organs, and protected mice from LPS-induced endotoxic lethality. Multi-omics profiling showed that MNS broadly repressed LPS-induced inflammatory transcriptional programs and reversed chromatin accessibility gains across promoters and transcription start sites. Joint analysis of RNA-seq and ATAC-seq data demonstrated consistent downregulation of pivotal inflammatory pathways, such as NF-{kappa}B, Toll-like receptor, and TNF signaling. ConclusionsWith potent activity against viral replication and inflammation in cellular and animal models, MNS emerges as a promising candidate for the treatment of viral infections and hyperinflammatory conditions.

systems biology↗

bioRxiv2026

Impact of ceftiofur administration and Escherichia coli inoculation on the calf fecal microbiome

The cattle gastrointestinal tract harbors a diverse community of microorganisms, including pathogenic and commensal strains of Escherichia coli. Antimicrobial use in cattle can disrupt the gut microbiome leading to shifts in bacterial diversity and abundance. Here, we combined shotgun metagenomics and single-cell sequencing to assess how ceftiofur antibiotic treatment impacted microbial diversity and structure. At the start of the experiment, ceftiofur was administered intramuscularly in parallel with the inoculation of a cocktail of extended-beta-lactamase-producing E. coli strains, to simulate environmental exposure and acquisition of resistant strains while animals are under antibiotic treatment. Fecal samples were collected from both the antibiotic-treated (ceftiofur and inoculation) and control (inoculation only) calves over the course of 35 days. Read mapping to genome and gene databases showed substantial differences in microbial richness and beta diversity between treatment groups. Treatment group-enriched taxa included Bacteroidaceae and Fibrobacter, which were more abundant in samples that did not receive ceftiofur, and Akkermansia in ceftiofur-treated calves. In ceftiofur-exposed animals, we observed a gradual loss of virulence factors alongside increased abundances of beta-lactam resistance genes, including cfxA5 and cfxA6 likely encoded by CAG-485 (Muribaculaceae). We further profiled individual cells using single-cell sequencing, which revealed a high number of Clostridium carrying macrolide resistance genes lnu(P) and mph(N) in both ceftiofur-treated and control samples. Overall, our complementary approaches reveal distinct remodeling of the calf microbiome following antibiotic and E. coli administration, tied to key functional genes that can be assigned to specific genera or recurrently detected across diverse taxa. IMPORTANCECattle serve as natural reservoirs of zoonotic strains of E. coli, which can cause severe gastrointestinal infections in humans. Antibiotic usage on cattle farms can drive the emergence of antimicrobial resistant bacterial strains and alter the underlying cattle gastrointestinal microbiome. Consequently, there is a need to understand how antibiotic administration impacts population dynamics of cattle rumen and intestinal microbes. In this study, we combined both shotgun metagenomics and single-cell genomics on feces from ruminating calves to determine microbiome changes following administration of both ceftiofur and E. coli cocktails. We observed considerable variation in prevalence and abundance of virulence factors, antimicrobial resistance-related genes, and taxa with key roles in animal nutrition and health between the microbiomes of antibiotic-treated and antibiotic-free calves, with potential implications for their subsequent development and overall well-being.

genomics↗

bioRxiv2026

Differential higher-order superassembly of HECT-type UBE3 ligases controlled by calcium signals

The yeast E4 ligase Hul5 transiently associates with the proteasome during heat shock and proteotoxic stress to maintain cytosolic protein quality control. Two of its human orthologs, UBE3B and UBE3C, have specialized to safeguard mitochondria and inherit Hul5 function, respectively. We determined cryo-electron microscopy structures of full-length human UBE3B and UBE3C in complex with calmodulin at 2.9-3.5 [A] in calcium-free and calcium-saturated conditions. Calmodulin acts as an inter-protomer molecular glue clamping UBE3B into ring-shaped anti-parallel homodimers or asymmetric trimers, and remodels UBE3C into a conformation competent for proteasome association. Calcium binding to calmodulin promotes disassembly of these higher-order complexes, toggling UBE3B/C from E4 to E3 activity. These findings reveal how calmodulin regulates higher-order architectures of E3/E4 ligases to rewire the ubiquitin-proteasome system via calcium signaling.

biochemistry↗

bioRxiv2026

Systematic mapping of emergent transcriptional states in interacting single-cell dyads by Cell-Cell-seq

Cell-cell interactions drive rapid and heterogeneous changes in gene expression, yet most transcriptomic methods either dissociate cells, losing pair identity and interaction timing, or infer communication indirectly from ligand-receptor co-expression. Here we present Cell-Cell-seq, a scalable workflow for profiling defined cell pairs ("dyads") with single-cell transcriptomic resolution. Cell-Cell-seq uses cavity-containing hydrogel microparticles (Nanovials) to confine two cells, synchronize contact onset, protect fragile conjugates during handling and sorting, and interface directly with droplet-based RNA sequencing. Using antigen-matched prostate tumor cells and engineered T cells as a model system, Cell-Cell-seq captured thousands of tumor-T cell dyads and revealed broad functional and transcriptional heterogeneity across interactions. Dyads unmasked transient activation programs that were obscured in standard well-plate co-culture, consistent with asynchronous contact in bulk assays. To distinguish interaction-induced programs from the composite nature of dyad transcriptomes, we developed a pseudo-mixing framework that generates in silico pseudo-dyads to construct an empirical null distribution under "no interaction," enabling statistically robust identification of emergent genes and partner-resolved attribution of responses. Dyad-resolved analysis further revealed coordinated cross-cell programs, including coupled chemokine expression consistent with bidirectional paracrine signaling and inverse coupling between tumor immunoregulatory programs and T cell activation. Finally, we introduce ccRepair to correct compositional dilution in mixed transcriptomes, improving interpretability while preserving genuine cross-cell coordination. Together, Cell-Cell-seq provides a generalizable platform for dissecting immune synapse biology and mapping interaction-dependent programs across heterogeneous cell populations, with applications in profiling tumor-immune communication and functionally screening immunotherapies.

bioengineering↗

bioRxiv2026

Detection of Somatic Point Mutations Directly from Spatial Transcriptomics Enables in vivo Spatiotemporal Lineage Tracing

Spatial transcriptomics reveals tissue organization but lacks in vivo lineage-tracing methods applicable to humans. We introduce SpaceTracer, a computational framework that accurately detects somatic single-nucleotide variants (SNVs) directly from spatial transcriptomics data. By leveraging naturally occurring somatic SNVs, SpaceTracer reconstructs cellular phylogenies within native tissue architecture, enabling the mapping of lineage spread, migration, lineage-coupled expression changes and lineage-aware local interactions. Applied to human cutaneous squamous cell carcinoma, it traced tumor initiation and progressions, uncovered widespread pre-invasive migration of dedifferentiated epithelial cells and characterized mutant B cells migrating from tertiary lymphoid structures (TLS) into the tumor boundary. The framework also reconstructed developmental lineages across multiple tissues and identified tissue-resident mutant immune cells. SpaceTracer thus provides a perturbation-free platform for high-resolution spatiotemporal lineage tracing, offering a transformative tool for elucidating complex biological systems--especially tumor-immune ecosystems--with direct implications for advancing cancer immunotherapy.

bioinformatics↗

bioRxiv2026

TREM2 agonist antibody rebuilds the resident synovial macrophage lining barrier in rheumatoid arthritis

Rheumatoid arthritis (RA) can be viewed as a disease of barrier failure, in which CX3CR1+/TREM2+ synovial tissue-resident macrophages that form the lining barrier over cartilage and bone become fragmented and disorganized. However, how to therapeutically rebuild this barrier--and how macrophage states transition during repair--remain unclear. We engineered TR-Ab19, a mouse-selective agonistic antibody against TREM2, as a precision tool to initiate and interrogate barrier repair in vivo. TR-Ab19 engages TREM2-linked downstream signaling and redirects synovial macrophages from Clec4d+ inflammatory/proliferative programs toward TREM2+CX3CR1+Aqp1+ barrier-like states, thereby rebuilding the lining barrier. Across collagen-induced arthritis (CIA) and serum-transfer arthritis (STA) models, TR-Ab19 reduces synovitis, preserves cartilage and bone microarchitecture, limits osteoclastogenesis, and attenuates systemic cytokines and B-cell abnormalities. Single-cell RNA-seq with trajectory and cell-cell communication analyses reveal a TREM2-dependent shift toward a barrier-dominant macrophage ecosystem. Together, these findings establish antibody-mediated reprogramming of resident synovial macrophages as a barrier-centered strategy for RA and provide a framework for instructing macrophage niches in chronic inflammation.

bioengineering↗

bioRxiv2026

GmEBS7a-E2 complex dissociation hyperactivates ERAD to impair plant immunity against Phytophthora pathogens

Endoplasmic reticulum-associated degradation (ERAD) pathways are crucial for maintaining plant development and stress responses. While ERAD has been extensively studied for its role in regulating responses to abiotic stress, its specific manipulation by eukaryotic pathogens stress remains unclear. Here, we reported that soybean GmEBS7a, a plant-specific ERAD component, is targeted and stabilized by a transmembrane domain-containing effector Avh131 from Phytophthora sojae. GmEBS7a enhances plant disease susceptibility by increasing ERAD efficiency and ER stress sensitivity. Mechanistically, Avh131 competitively disrupts the interaction with GmEBS7a and the ubiquitin-conjugating enzyme GmUBC32, reducing ubiquitination of GmEBS7a and subsequent inhibition of its degradation. These findings demonstrate that excessive ERAD triggered by stabilized GmEBS7a and its partnering E3 ligase impairs the plants response to biotic stress. Our study uncovers a fine-tuning of the ER protein-folding capacity to promote infection, thereby expanding our understanding of ER-centered immunity during plant-pathogen interactions.

immunology↗

bioRxiv2026

Behavioral state-dependent norepinephrine dynamics in the primary somatosensory and prefrontal cortices during tactile detection tasks

Animals must integrate sensory information, ignore behaviorally irrelevant stimuli, and respond to behaviorally relevant stimuli to find food, find mates, avoid predators, and ultimately survive. In mammals, these goal-directed behaviors require the coordinated activity of many brain regions, including sensory and prefrontal cortices and neuromodulatory brainstem nuclei like the locus coeruleus (LC), which is the brains primary source of norepinephrine (NE). NE release resulting from LC activity and arousal indexed by pupil size exert strong influences on goal-directed behavior. We explored the relationships between pupil size, cortical noradrenergic dynamics, and behavior in a tactile signal detection task. We monitored pupil dynamics and fluorescent GRABNE signals in somatosensory and medial prefrontal cortices simultaneously during task execution and found that pupil size and synchronization of GRABNE signals at baseline were strong predictors of whether animals chose to respond. Baseline and post-reward cortical GRABNE levels varied strongly with pupil-linked arousal. We also employed a generalized linear model - hidden Markov model (GLM-HMM) framework to identify distinct, stable behavioral states throughout the task that characterize task performance. We found distinct psychometric curves, task-related pupil dynamics, and cortical NE dynamics across these behavioral states. Significance StatementBehavioral state strongly shapes goal-directed behavior, which in turn depends on the coordinated activity of distributed brain regions, including the sensory and prefrontal cortices. By simultaneously measuring pupil size and cortical noradrenergic dynamics, and by identifying psychophysically distinct behavioral states during a tactile detection task, this study establishes links between pupil-linked arousal, norepinephrine signaling in somatosensory and prefrontal cortices, and trial outcomes. These findings provide new insight into how the locus coeruleus - norepinephrine system regulates perception and decision-making.

neuroscience↗

bioRxiv2026

Oncolytic Adenovirus Armed with cGAS Activates STING Pathway and Enhances Antitumor Immunity in Lung Cancer with Superior Combined Efficacy of PD-L1 Therapy

The extensive expression of STING in patients with non - small cell lung cancer (NSCLC) is closely associated with overall survival and other factors. Activation of the STING pathway can suppress NSCLC. However, the clinical translation of STING agonists remains hindered by challenges such as off-target effects, metabolic instability, and suboptimal pharmacokinetics. In this study, we engineered two oncolytic adenoviruses (OAds), OAd-HcGAS and OAd-McGAS, expressing human or murine cGAS, respectively, using an Ad5/3 chimeric adenovirus platform under regulation by the hTERT promoter to evaluatewhether OVs carrying the cGAS gene are capable of specifically activating the STING pathway within tumors and enhancing the anti - tumor efficacy of OVs both in vitro and in vivo.In vitro, OAd-HcGAS exhibited robust replication and potent cytolytic activity in tumor cells. It activated the STING-TBK1-IRF3 signaling axis, triggering a strong type I interferon (IFN-I) and pro-inflammatory cytokine response without compromising viral replication. In a murine Lewis lung carcinoma allograft model, intratumoral (i.t.) administration of OAd-McGAS led to substantial cGAS expression and consequential activation of the STING pathway. Moreover, the combination with anti-PD-L1 therapy resulted in tumor regression in over half of the cases. Notably, this armed oncolytic virus strategy enhanced the activation and infiltration of multiple immune cell populations. Collectively, these findings establish cGAS-expressing oncolytic adenoviruses as a novel and effective therapeutic strategy for lung cancer treatment. Graphical AbstractViral replication & Transgene expression & Cancer treatment

immunology↗

bioRxiv2026

A dual-factor complex governs archaeal ribosome hibernation by sensing energy status

Efficient coupling of cellular energy status to ribosome regulation is fundamental for cellular survival. Here, we identify the Archaeal Ribosome regulatory Complex (ARC)--a previously uncharacterized dual-factor complex comprising ARC-P and ARC-A. Cryo-EM reveals that ARC anchors to the small ribosomal subunit, establishing a stringent blockade of the tRNA and mRNA paths via an electrostatic wedge mechanism. This hibernation state is modulated by energy status: the complex remains stably associated under low-energy conditions, whereas ATP binding triggers rapid mobilization. Genetic analyses demonstrate that ARC acts as a translational brake essential for preserving ribosomal structural integrity, with ARC-A serving as the primary inhibitory factor. Notably, while the loss of ARC accelerates growth, it impairs recovery in proportion to stress severity. Phylogenomic analysis identifies ARC as an evolutionarily novel and widely distributed dual-factor system, revealing a conserved regulatory strategy for metabolic-translational coupling across diverse archaea. Our findings define a fundamental strategy where modular complexes integrate metabolic sensing with mechanical sequestration to balance growth and persistence.

biochemistry↗

bioRxiv2026

Targeting PI3Kβ-dependent cancer with a novel small molecule inhibitor, GT220

PI3K{beta} is a critical oncogenic driver in cancers harboring PTEN loss or PIK3CB alterations, yet effective and selective PI3K{beta}-targeted therapies remain elusive. Here, we report the development and preclinical characterization of GT220, a highly selective and potent small-molecule PI3K{beta} inhibitor developed through integrated artificial-intelligence-driven design with medicinal chemistry and pharmacologic optimization. GT220 exhibits exceptional biochemical selectivity for PI3K{beta}, binding with sub-nanomolar affinity and with minimal activity against other class I PI3K isoforms or the broader protein kinome. In cellular models, GT220 potently suppresses AKT phosphorylation and selectively inhibits viability of PTEN-deficient cancer cells, while sparing PTEN/PIK3CB wild-type and PI3K-dependent cells. In vivo, GT220 achieves a favorable tumor exposure with sustained PI3K{beta} pathway inhibition and demonstrates robust antitumor efficacy and good tolerability in PTEN-deficient breast cancer xenograft models. In contrast, GT220 shows no antitumor activity or pathway inhibition in PTEN-wild-type or PI3K-dependent tumors, underscoring its context-dependent mechanism of action. Collectively, these findings establish GT220 as a promising next-generation PI3K{beta} inhibitor and provide a strong preclinical rationale for precision targeting of PI3K{beta}-dependent cancers.

cancer biology↗

bioRxiv2026

Spatial transcriptomics reveals organizational properties of mouse spinal cord and alterations in neuropathic pain

The spinal cord integrates diverse somatosensory inputs and executes motor outputs through anatomically and functionally distinct circuits. Here, we employed spatially resolved single-cell transcriptomic profiling of the adult mouse spinal cord to gain insights into the organizational logic of the spinal cord. Our results reveal distinct spatial and laminar distributions of neuronal subtypes, including axial level and sex-specific differences. Many neuronal subtypes exhibit close spatial proximity, implicating regionally specific patterns of connectivity and circuit functions. Additionally, neuronal subtypes within the dorsal horn exhibit a wide range of predicted cell-cell communication motifs, as assessed by the spatial distribution of neuropeptide-and other ligand-receptor pairs. Finally, we identified several neuronal subtypes with altered transcriptomic and predicted cell-cell communications in a model of neuropathic pain. This spatially resolved cellular and molecular map of the spinal cord will facilitate the decoding of circuit mechanisms underlying somatosensory and motor functions in health and disease.

neuroscience↗

bioRxiv2026

Glucokinase links metabolism and lineage plasticity in neuroendocrine prostate cancer via interaction with AKT1

Cancer cells frequently rewire their metabolism to sustain growth and survival under stress. Despite the critical role of metabolic adaptation in tumorigenesis, how specific metabolic enzymes regulate lineage plasticity remains unclear. Here, through FDG-PET imaging and transcriptomic analyses, we reveal markedly elevated glucose uptake in neuroendocrine prostate cancer (NEPC) and identify glucokinase (GCK) as a MYCN-induced metabolic enzyme. Beyond its metabolic role, GCK is indispensable for maintaining the neuroendocrine lineage of prostate cancer cells by establishing a functional circuit with AKT1 through reciprocal regulation--AKT1 binds and phosphorylates GCK at S373, whereas GCK phosphorylates AKT1 at S473. Pharmacological disruption of this AKT1-GCK axis suppresses tumor growth in NEPC mouse models and patient-derived xenografts. Altogether, our findings uncover both the metabolic and noncanonical kinase functions of GCK and establish the AKT1-GCK axis as a key link between metabolic reprogramming and neuroendocrine lineage transition in prostate cancer.

cancer biology↗