Biology subjects

Du, X.

Publications and source records attributed to Du, X..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Collective multicellular patterns arising from cadherin-linked cytoskeletal domains

I.In multicellular systems, adhesion complexes, such as those composed of E-cadherin and associated catenins, mechanically couple neighboring cells by directly linking their actin-based cytoskeletal assemblies. However, the mechanics of how forces are transmitted across these adhesions remains largely unstudied. Here, we introduce a biophysical model that explicitly couples adhesion complex dynamics to intracellular mechanics across cell boundaries. A cadherin dimer plus associated catenins connecting two cells is represented as a spring whose ends experience drag with respect to the moving actin cytoskeleton. The cytoskeleton is modeled as a contractile gel driven by myosin activity in its bulk and forces from adhesion on its boundaries. Our model captures this bidirectional coupling via a coarse-grained continuum framework and reveals a range of observed cell- and tissue-scale behaviors. These include global cell polarization of the multicellular collective, other polarization patterns and oscillatory dynamics, spontaneously formed actin rings within cells, and supracellular stress chains. Many of these features arise from modeling the direct mechanical coupling between cytoskeleton and adhesion. This model can be extended to other adhesion-cytoskeleton feedback systems and used to advance our understanding of multicellular tissue dynamics, particularly during development.

biophysics↗

bioRxiv2025

wspA mutation mediated Pseudomonas aeruginosa rugose small colony variant and its hyper-biofilm

Pseudomonas aeruginosa is a major multidrug-resistant pathogen whose biofilm formation complicates treatment. P. aeruginosa rugose small colony variants (RSCVs), characterized by enhanced biofilm production and resistance, pose significant clinical challenges. However, the formation mechanisms remain unclear in clinical strains. Paired clinical P. aeruginosa isolates AR8023-1 (wild-type) and AR8023-2 (RSCV) were collected from urine samples of a neurosurgery inpatient chronologically. The genome comparison was performed using Breseq, and plasmid complementation was performed to construct complemented strain (AR8023-2RifR::wspAAR8023-1). Then, all the aforementioned strains were examined RSCV phenotype, biofilm formation, and motility, and gene expression differences induced by the wspA mutation were analyzed via transcriptome sequencing, followed by quantification of c-di-GMP. In addition, we assessed antimicrobial susceptibility of the strains under both planktonic and biofilm conditions. The results showed that both AR8023-1 and AR8023-2 were identified as ST3420. AR8023-1 exhibited typical smooth morphology, while AR8023-2 displayed a RSCV phenotype. A single SNP difference was identified between the two strains, characterized by a deletion of glutamine at position 289 (CAG triplet deletion) in the wspA gene of strain AR8023-2. The complement isolates restored wild-type morphology, motility, and biofilm formation. Transcriptomics revealed a significant upregulation of c-di-GMP metabolic genes in RSCVs (P < 0.001), indicating that the WspA{Delta}289Q mutation activates diguanylate cyclase (DGC) activity, thereby elevating c-di-GMP synthesis. Intracellular c-di-GMP levels were significantly higher in RSCVs than those in WT and complement isolates, respectively (P < 0.001). Consequently, biofilm susceptibility testing demonstrated the {beta}-lactams MBIC of RSCVs was [≥]8-512-fold higher than those of WT and complement isolates. This study identifies a clinical WspA{Delta}289Q mutation that elevates c-di-GMP, driving RSCV formation and biofilm-mediated resistance. IMPORTANCEP. aeruginosa is a leading multidrug-resistant pathogen whose biofilm formation capability greatly complicates treatment outcomes. This study identifies a novel clinical mutation in the wspA gene (WspA{Delta}289Q) that drives the emergence of rugose small colony variants (RSCVs), a phenotype linked to heightened biofilm production and antimicrobial resistance. We demonstrate that this mutation upregulates cyclic di-GMP synthesis, leading to increased biofilm formation and markedly reduced susceptibility to {beta}-lactam antibiotics under biofilm conditions. These results provide important insights into the genetic basis of RSCV development in clinical settings and highlight the role of c-di-GMP signaling in biofilm-associated resistance. Our findings underscore the need to target c-di-GMP pathways as a potential strategy for combating persistent P. aeruginosa infections.

microbiology↗

bioRxiv2025

CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues

Centrosome abnormalities (CA) are a hallmark of epithelial cancers, yet their spatial complexity and phenotypic heterogeneity remain poorly resolved due to limitations in conventional image analysis. We present CenSegNet (Centrosome Segmentation Network), a modular deep learning framework for high-resolution, context-aware segmentation of centrosomes and epithelial architecture across diverse tissue types. Integrating a dual-branch architecture with uncertainty-guided refinement, CenSegNet achieves state-of-the-art performance and generalisability across both immunofluorescence and immunohistochemistry modalities, outperforming existing models in accuracy and morphological fidelity. Applied to tissue microarrays (TMAs) containing 911 breast cancer sample cores from 127 patients, CenSegNet enables the first large-scale, spatially resolved quantification of numerical and structural CA at single-cell resolution. These CA subtypes are mechanistically uncoupled, exhibiting distinct spatial distributions, age-dependent dynamics, and associations with histological tumour grade, hormone receptor status, genomic alterations, and nodal involvement. Structural CA levels are additionally associated with overall survival, supporting the clinical relevance of spatially resolved CA patterns. Discordant CA profiles at tumour margins are linked to local aggressiveness and stromal remodelling. To support broad adoption and reproducibility, CenSegNet is released as an open-source Python library. Together, our findings establish CenSegNet as a scalable, generalisable platform for spatially resolved centrosome phenotyping in intact tissues, enabling systematic dissection of the biology of this organelle and its dysregulation in cancer and other epithelial diseases.

cell biology↗

bioRxiv2025

Reduced efficacy of an anti-toxin vaccine from senescence-driven attenuation of toxin virulence

It remains unclear why vaccines targeting prominent microbial virulence factors often fail in clinical trials. Because microbial virulence depends on interaction with the host immune system, we investigated how changes in host immune function alter vaccine efficacy. Using a vaccine against Staphylococcus aureus alpha toxin (Hla), which targets host metalloprotease ADAM10 on myeloid cells, we show that Hla virulence is reduced in aged mice due to diminished ADAM10 activity and impaired myeloid cell function. Depletion of myeloid cells with cyclophosphamide in young mice similarly reduced toxin virulence. Immunization against Hla conferred strong protection against Staphylococcus aureus infection in young but not aged mice. These findings indicate that pathogenic functions of microbial factors characterized in immunocompetent young animals may not predict virulence or vaccine efficacy in immunocompromised hosts. These findings underscore the need to account for host immune status in the development and evaluation of vaccines targeting microbial virulence factors.

microbiology↗

bioRxiv2025

Mitochondrial Response to Psychological Stress and Its Medial Prefrontal Biomarker Correlates

BackgroundStress response obligates increased mitochondrial activities to meet stress-induced high energy requirement. This stress-mitochondrial response process involves glucocorticoid but also multiple alternative pathways that are top-down regulated by the medial prefrontal cortex (mPFC). These pathways are important for many neuropsychiatric conditions that are sensitive to stress. However, the field lacks a reliable, clinically accessible stress-mitochondrial response paradigm to study the process in humans. MethodWe used an established psychological stress challenge combined with assaying salivary cell-free mitochondrial DNA (cf-mtDNA), thought to reflect heightened mitochondrial changes or disruptions, in 35 healthy individuals (21 males). We also explored if these stress-induced cf-mtDNA marker elevations were associated brain metabolites as measured by magnetic resonance spectroscopy (MRS), as well as high-resolution brain imaging based cortical thickness focusing on the mPFC. ResultsWe found that salivary cf-mtDNA was significant elevated immediately after the stress challenge (p=2.0x10-7) and gradually declined after. Exploratory causal analysis showed that this cf-mtDNA response was not primarily driven by cortisol response. Instead, individuals with higher baseline dACC lactate+ levels, thought to in part reflect mitochondrial dysfunctions, was significantly associated with the cf-mtDNA response (r=0.80, p<0.001). Higher mtDNA response was also significantly associated with thinner dorsomedial prefrontal cortex (r=-0.52, p=0.01). Age had a U-shape effect such that cf-mtDNA response trended lower in earlier adulthood but higher in older people, explaining 33.8% of the ct-mtDNA response variance (p=0.003). ConclusionThis stress challenge-salivary cf-mtDNA assay paradigm may offer a new, non-invasive approach to evaluate the stress-mitochondrial pathway functioning in aging, psychopharmacology, and neuropsychiatric conditions where psychological stress plays a role.

neuroscience↗

bioRxiv2025

Blood and Neuronal Extracellular Vesicle Mitochondrial Disruptions in Schizophrenia

The high energy demand of the human brain obligates robust mitochondrial energy metabolism, while mitochondrial dysfunctions have been linked to neuropsychiatric disorders including schizophrenia spectrum disorders (SSD). However, in vivo assessments that can directly inform brain mitochondrial functioning and its etiopathophysiological path to SSD remain difficult to obtain. We hypothesized that system and brain mitochondrial dysfunctions in SSD may be indexed by elevated cell-free mitochondrial DNA (cf-mtDNA) levels in the blood and in neuronal extracellular vesicles (nEVs). We also explored if these mtDNA marker elevations were associated brain metabolites as measured by magnetic resonance spectroscopy (MRS). We examined blood cf-mtDNA in 58 SSD patients and 33 healthy controls, followed by assessing nEV mtDNA and metabolite levels using MRS in a subgroup of patients and controls. We found that people with SSD had significantly elevated cf-mtDNA levels in both the blood (p=0.0002) and neuronal EVs (p=0.003) compared to controls. These mtDNA abnormalities can be linked back to brain lactate+ levels such that higher blood and nEV mtDNA levels were significantly associated with higher lactate+ levels measured at the anterior cingulate cortex (r=0.53, 0.53; p=0.008, 0.03, respectively) in SSD patients. Furthermore, higher developmental stress and trauma were significantly associated with higher cf-mtDNA levels in both the blood and neuronal EVs in SSD patients (r=0.29, 0.49; p=0.01, 0.03, respectively). In conclusion, if replicated and fully developed, blood and neuronal EV-based cell free mtDNA may provide a clinically accessible biomarker to more directly evaluate the mitochondrial hypothesis and the abnormal bioenergetics pathways in schizophrenia.

neuroscience↗

bioRxiv2025

Vascularized Bioengineered Kidney Using Decellularized Scaffold Recellularized with human Placenta-Derived Angiogenic stem Cells and Kidney Organoids

A bioengineered kidney using a decellularized kidney scaffold (DKS) offers a promising solution to the kidney shortage. However, the transplantation of bioengineered kidneys using DKS recellularized with human endothelial, renal cells or others has not yet successfully achieved the vascular and renal reconstruction in vivo. In this study, we identified another type of stem cells, designated as human placenta-derived angiogenic stem cells (hPASCs), which serve as seeding cells for the vascularization of DKS. These hPASCs encompass angiogenic subpopulations, exhibit both stem cell properties and the capacity for vascular differentiation. Human fetal kidney organoids (KIO) were established as a source of renal parenchymal cells, comprising renal, immune, and vascular cell populations. We developed a vascularized bioengineered kidney by recellularizing DKS with hPASCs and KIO using a circulation perfusion culture system. The hPASCs bioengineered kidney demonstrated enhanced angiogenesis and reconstructed renal architecture in vivo, by transplantation into rat models of renal subcapsular and partial nephrectomy. Furthermore, immunofluorescence and single-cell analyses revealed that the hPASCs revascularized bioengineered kidney regenerated both vascular and renal parenchymal cells within the host. This study offers another strategy for kidney bioengineering and regeneration.

bioengineering↗

bioRxiv2025

Using Artificial Intelligence to Assess Cross-Species Transmission Potential of Influenza A Virus

Influenza A viruses (IAVs) pose pandemic threats through cross-species transmission, yet predicting their adaptive evolution remains challenging. We introduced Influenza A virus Adaptability to host X (FluAdaX), a deep learning framework that integrates a moving average-equipped gated attention mechanism using full-genome sequences. FluAdaX demonstrated robust host classification performance across endemic IAV strains, and outperformed traditional models in detecting avian-to-human transmission. Spillover score and adaptability score were introduced to evaluate host shift risk, which prioritized variants with elevated human adaptation potential, such as H7N9, H9N2 avian IAVs, and H1N1 swine IAVs. Besides HA and NA genes, PB2 and NS genes were found critical for zoonosis. Potential molecular markers associated with avian/human tropism were identified across PB2 and NS genes using XGBoost. FluAdaX provided a dynamic framework to decode IAV host adaptation, enabling real-time risk assessment of cross-species transmission of emerging IAV variants.

bioinformatics↗

bioRxiv2025

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy Response

Predicting drug efficacy across diverse patient contexts remains a major challenge in oncology, as models trained on cancer cell lines often fail to capture patient-specific biology. Emerging biological foundation models and patient-derived technologies offer a promising solution. Here, we present UniCure, the first pre-trained foundation model integrating both omics and chemical foundation models (UCE and Uni-mol) to predict transcriptomic responses to drugs across diverse cellular and tissue contexts, enabling personalized cancer therapy and drug prioritization at the individual level. Rather than encoder/decoder used in traditional models, UniCure utilizes parameter-efficient fine-tuning (PEFT) techniques for optimizing the training process, a novel FlexPert module for modeling flexible drug-cell interactions, and a Maximum Mean Discrepancy (MMD) loss for learning unpaired data. Trained on over 1.8 million perturbation RNA-seq profiles over 22,000 compounds, 166 cell types, and 24 tissues, UniCure achieves high accuracy in predicting both dose-dependent responses and drug combination effects, demonstrating strong generalization across bulk and single-cell transcriptomic data. In particular, fine-tuning on our patient-derived tumor-like clusters and real-world data of 800 profiles enables UniCure to generate individualized therapeutic predictions on patients tissue samples. In addition, UniCure enables patient stratification based on the predicted drug responses, providing a new way for subtyping patients. UniCures drug prioritization was validated across over 1000 patients from pan-cancer cohorts and supported by experiments of candidate therapeutics. By enabling the potential to screen millions of compounds per patient at scale, UniCure represents a biologically grounded tool that could advance personalized precision oncology and accelerate drug discovery.

bioinformatics↗

bioRxiv2025

An Adaptive Visuomotor Transformation Reservoir Embedded in the Vertebrate Brain

Adaptive visuomotor transformation requires sensorimotor circuits to generate accurate, robust, and flexible outputs, but its underlying cellular mechanism remains poorly understood. Leveraging a zebrafish mesoscopic connectome, we built a biologically constrained spiking neural network of the optic tectum (OT), a conserved vertebrate center for visuomotor transformation, and drove the model with real retinal inputs. Integrating in silico and biological interrogations, we revealed that the OT functions as a biologically structured reservoir complemented by serotonergic systems to implement adaptive visuomotor transformation. Within the tectal reservoir, inhibitory interneurons with layer-matched axonal arborizations suppress task-unrelated pathways to ensure visuomotor accuracy, while excitatory interneurons with deep-layer terminating axons reinforce task-related pathways to enhance noise robustness. Furthermore, visually responsive OT-projecting serotonergic subsystems reweight competing pathways to confer visuomotor flexibility. Thus, our findings delineate how specific interneuron-type-embodied push-pull-like mechanisms coordinate with serotonergic neuromodulation to drive adaptive visuomotor transformation, offering a mechanistic framework for neural computational architectures.

neuroscience↗

bioRxiv2025

Central nervous system atlas of larval zebrafish constructed using the morphology of single excitatory and inhibitory neurons

Single-neuron morphology mapping is fundamental for deciphering brain architecture and function, yet in vertebrates it remains limited in spatial coverage and cell-type information. Here we present a nervous system-wide single-neuron morphology atlas of larval zebrafish with annotated excitatory/inhibitory identity and dendrite-axon polarity. The atlas comprises >20,000 reconstructed neurons from >13,400 animals, spanning the central and peripheral nervous system and representing [~]24.5% of the total excitatory and inhibitory neurons in the brain, all integrated into a common physical space with neuroanatomical parcellations. We define >500 excitatory and inhibitory neuronal morphotypes and construct putative inter-cell-type and interregional connectomes. Projection and morphotype analyses reveal distinct laterality and directionality biases and modular innervation patterns in excitatory and inhibitory neurons, while network analyses uncover fundamental connectivity motifs, hubs, and sensorimotor pathways. Accessible through custom-built interactive platform ZExplorer, this atlas provides a foundational resource for multimodal data integration, circuit analysis, computational modeling, and hypothesis-driven research.

neuroscience↗

bioRxiv2025

Constructing a consensus serum metabolome

Blood analysis is the most common in biomedical applications and a reference metabolome will be critical for effective annotation and for guiding scientific investigations. However, compiling such a reference is hindered by many technical challenges, despite the availability of large amount of metabolomics data today. Based on a new set of data structures and tools, we have assembled a consensus serum metabolome (CSM) from over 100,000 mass spectrometry acquisitions of more than 200 million spectra. This provides a comprehensive survey of human blood chemistry, revealing the frequency dependent nature of metabolome and exposome. Major gaps are found between CSM and the current databases. The CSM enables community-level data alignment and significantly improves annotation quality of LC-MS metabolomics. HighlightsO_LIA reference of human biochemistry linked to observation frequency C_LIO_LIMajor gaps revealed in current databases and experimental methods C_LIO_LIEnabling cross-laboratory, cross-platform data alignment C_LIO_LIAccelerated and cumulative metabolite annotation C_LI

biochemistry↗

bioRxiv2025

A novel enterococcus phage endolysin Lys22 with a wide host range against mixed biofilm of Enterococcus faecalis, Staphylococcus aureus and Acinetobacter baumannii

The global surge in multidrug-resistant (MDR) bacterial pathogens has created an urgent imperative for innovative antimicrobial strategies. Enterococcus faecalis, Staphylococcus aureus, and Acinetobacter baumannii demonstrate remarkable antibiotic resistance and dominate hospital-acquired infections. These bacteria often form biofilms, a complex community structure that shields them from immune system phagocytosis, resists antibiotic penetration, and enhances their survival in harsh environments. In clinical cases, these bacteria often form mixed biofilms and lead to treatment failures. Phages and their derivatives have emerged as promising candidates in the fight against drug-resistant bacteria. Lys22, an endolysin derived from an enterococcus phage, has been cloned and demonstrated to possess a broad host range, effectively targeting E. faecalis, various Staphylococcus species, and A. baumannii. When applied to the biofilms formed by these bacteria, Lys22 was found to significantly inhibit both simple and complex biofilms in vitro. Virulent genes, including agrA, sarA, and icaA in S. aureus; asa1, cylA, and hyl in E. faecalis; and OmpA and lpsB in A. baumannii were also downregulated by Lys22. Notably, Lys22 also exhibited a robust protective effect against dual or triple infections involving E. faecalis, S. aureus, and A. baumannii in a zebrafish eggs model, highlighting its potential as a therapeutic agent in combatting multi-bacterial infections.

microbiology↗

bioRxiv2025

Genome-wide analysis reveals the genetic basis of key agronomic traits and modern wheat breeding in Henan Province

Despite the continuous improvement of wheat cultivars in Henan Province, the largest Chinese wheat-producing area, there have been no reports of studies on their breeding advances in the past decades. This study aims to elucidate their genetic basis and breeding advances. A total of 351 landraces and 265 cultivars in Henan Province were employed in selective sweep studies and genome-wide association studies. All the wheat accessions were planted in five locations in Henan Province in 2016-2017, 2017-2018 and 2018-2019. Candidate genes were identified through differential expression, GO annotation, gene homology, and haplotype analyses. Breeding advances were summarized based on four breeding periods (1950s, 1960s-1970s, 1980s-1990s, and post-2000s) of all 265 cultivars. The results demonstrated that 263 known genes with selection signals were found to be associated with important traits. Around the detected quantitative trait loci, 51 genes had been previously reported, while 252 genes were identified as candidate genes. Of the 303 genes and loci identified, 80 genes and 50 loci contributed to the improvement of 12 traits like plant height, and 12 key candidate genes was verified by qRT-PCR, while superior haplotypes of 24 genes explained cultivar climate adaptation. The superior haplotypes of 164 genes are available for future breeding. Transmission of superior haplotypes in four varietal pedigrees revealed pyramiding of superior haplotypes in elite cultivars. The analysis of post-2000 cultivars suggests a broader range of germplasm resources should be considered in parental selection than only recent accessions. This study provides a genetic basis and guide for wheat improvement.

genetics↗

bioRxiv2025

Calcium channel-coupled transcription factors facilitate direct nuclear signaling

VGCCs play crucial roles within the CNS, in maintaining cell excitability, enabling activity- dependent neuronal development, and forming long-term memory by regulating Ca2+ influx. The intracellular carboxyl-terminal domains of VGCC 1 subunits help regulate VGCC function. Emerging evidence suggests that some VGCC C-termini have functions independent of channel gating and exist as stable proteins. Here, we demonstrate that all VGCC gene family members express bicistronic mRNA transcripts that produce functionally distinct C-terminal proteins (CTPs) in tandem with full-length VGCC 1 subunits. Two of these CTPs, 1CCT and 1ACT, cycle to and from the nucleus in a Ca2+- and calmodulin-dependent fashion. 1CCT, 1ACT, and 1HCT regulate chromatin accessibility and/or bind directly to genes, regulating gene networks involved in neuronal differentiation and synaptic function in a Ca2+-dependent manner. This study elucidates a conserved process of coordinated protein expression within the VGCC family, coupling the channel function with VGCC C-terminal transcription factors.

neuroscience↗

bioRxiv2025

CDP-DAG synthases regulate plant growth and broad-spectrum disease resistance

Phosphatidic acid (PA) functions as a cell membrane component and signaling molecule in plants. PA metabolism has multiple routes, in one of which PA is converted into cytidine diphosphate diacylglycerol (CDP-DAG) by CDP-DAG synthases (CDSs). CDS genes are highly conserved in plants. Here, we found that knock-down of the CDS gene enhanced the resistance of Arabidopsis thaliana to multiple pathogens, with a growth penalty. When Arabidopsis leaves were treated with chitin or flg22, reactive oxygen species (ROS) production in cds mutants was significantly higher than that in the wild-type (WT). Similarly, phosphorylation of mitogen-activated protein kinases (MAPKs) in the cds1cds2 double mutant was significantly increased compared to the WT. By integrating lipidomics, transcriptomics, and metabolomics data, PA accumulation was observed in mutants cds1cds2, activating the jasmonic acid (JA) and salicylic acid (SA) signaling pathway, and increasing transcript levels of plant defense-related genes. Significant accumulation of the downstream metabolites including serotonin and 5-methoxyindole was also found, which plays important roles in plant immunity. In conclusion, our study indicated the role of CDSs in broad-spectrum disease resistance in Arabidopsis and that CDSs are involved in plant metabolic regulation.

plant biology↗

bioRxiv2025

Avoidance of fratricide and improved efficacy of CD33-MSLN CAR-iNK cells in treating acute myeloid leukemia

Acute myeloid leukemia (AML) patients are often older, which brings challenges of endurance and persistent efficacy of autologous CAR-T cell therapies. Allogenic CAR-NK cell therapies may offer reduced toxicities and enhanced anti-leukemic potential against AML. In this study, we designed a novel CD33-mesothelin loop CAR (Loop CAR) and evaluated its anti-tumor efficacy in human umbilical cord blood-derived NK (UCB-NK) cells and human pluripotent stem cell-derived NK (hPSC-iNK) cells. The Loop CAR exhibited superior cytotoxicity against dual-antigen-positive tumor cell lines and primary AML cells. To further avoid fratricide caused by endogenous CD33 expression in NK cells, we established a hPSC-derived cell line via knockout of CD33 gene (CD33KO) and engineered Loop CAR. Rather than enforced expression of exogenous CD16, we generated abundant mature CD33KO-Loop CAR-iNK cells highly expressing endogenous CD16 via an organoid induction approach. This innovative strategy effectively mitigated NK cell fratricide and significantly enhanced CD33 and mesothelin-mediated specific cytotoxicity. Moreover, the CD33KO-Loop CAR-iNK cells demonstrated superior tumor-killing activity in AML xenograft mice and significantly prolonged survival. hPSC-derived CD33KO-Loop CAR-iNK cells possess unique advantages and translational potential for treating AML.

cancer biology↗

bioRxiv2025

Maternal motivation overcomes innate fear via prefrontal switching dynamics

Parental care is altruistic. In natural environments, parents are often faced with challenging environmental conditions, such as severe weather, complex terrain and predatory threats, and therefore need to overcome the fear of adverse conditions to protect and raise the offspring. Although a few studies have reported risk-taking maternal behaviors1-3, it is unknown how maternal motivation and environmental threats are represented and integrated in neural circuits to resolve the conflict and dynamically drive behaviors. Here we report a novel risk-taking maternal behavior paradigm in a semi-naturalistic context, in which a female mouse has to overcome fear and jump off an elevated platform to retrieve pups outside a nest on the ground. We show that while fear of heights reduces the motivation to jump, the presence of pups dramatically facilitates overcoming such fear. A medial prefrontal-periaqueductal gray (mPFC-PAG) pathway is specifically required for the effect of pups on overcoming fear of height, and this circuit integrates conflicting cues about pup and height and encodes motivation to drive risk-taking jumping behaviors. In contrast to cued, fast and predictable reaction timing in typical structured tasks4,5, behaviors in our paradigm are highly spontaneous, characterized by stochastic transitions between low-motivation and high-motivation states. Our data reveal that such spontaneity is shaped by the switching ramping dynamics of neural activity in the motivation-encoding dimension, rather than continuous ramping dynamics. Pup and height cues modulate the switching ramping dynamics to influence, but not immediately evoke behaviors. Together, we propose that the prefrontal-brainstem pathway plays vital roles in encoding altruistic motivation to overcome innate fear, and the switching ramping dynamics might represent a general mechanism that gives rise to spontaneous behaviors in naturalistic and conflicting conditions.

neuroscience↗