Biology subjects

Han, Z.

Publications and source records attributed to Han, Z..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Hepatocellular Carcinoma Revisited from Single Cell Sequencing: Dynamic Evolution from Epithelial Dedifferentiation to Mesenchymal Remodeling

BackgroundSingle-cell RNA sequencing has provided new insights into hepatocellular carcinoma (HCC); however, a unified understanding of epithelial heterogeneity and immune evasion strategies in HCC remains lacking. MethodsWe re-analyzed publicly available single-cell datasets using conventional bioinformatics pipelines. Cell-type annotation of epithelial and T cell populations was further validated across multiple independent datasets to ensure robustness. ResultsWe systematically examined epithelial, immune, myeloid, and stromal lineages. In addition to recapitulating previously reported findings, we identified several novel observations. Notably, we uncovered a three-step dedifferentiation trajectory in epithelial cells and confirmed a bidirectional differentiation pattern within CD8{square} T cells. We also identified a subset of GZMK{square} CD4{square} T cells, whose transcriptional features resemble but are distinct from T follicular helper (Tfh) cells. Importantly, transcriptional drift within myeloid populations appeared to be closely associated with immune responsiveness. Furthermore, ligand-receptor analysis highlighted a potential cooperative role of LAMP3{square} dendritic cells and Tfh cells in promoting lymphoid follicle formation. ConclusionsIn the era of rapidly evolving single-cell sequencing technologies, we provide a framework for understanding cellular heterogeneity in HCC, which awaits further validation in future studies.

cancer biology↗

bioRxiv2026

Senescence and DNA Damage-Induced Inflammation Drive Heart Failure with Preserved Ejection Fraction in Cardiovascular Kidney Metabolic Syndrome

IntroductionHeart failure with preserved ejection fraction (HFpEF) is strongly associated with cardiometabolic comorbidities, including obesity, diabetes, hypertension, chronic kidney disease and aging, yet the mechanistic contribution of cellular senescence to HFpEF pathogenesis remains poorly defined. Methods and ResultsTo model clinically relevant HFpEF, we subjected p16-3MR mice to a novel chronic "four-hit" cardiovascular-kidney-metabolic stress regimen (10 months of a high-fat diet, low-dose streptozotocin, L-NAME, and aging). These mice developed a robust HFpEF phenotype characterized by left ventricular hypertrophy, impaired diastolic function (reduced E'/A' and elevated E/E'), preserved ejection fraction, reduced -dP/dt, exercise intolerance, pulmonary congestion, and increased cardiac CD68 macrophage infiltration. Cardiac proteomics identified 821 proteins significantly altered by four-hit stress. Selective genetic ablation of p16 senescent cells using ganciclovir ameliorated HFpEF phenotypes, reduced cardiac p16 expression and inflammation, and normalized proteomic remodeling, without affecting body weight or glycemic status. Comparative network analysis of mouse and human HFpEF cardiac proteomes revealed highly concordant upstream regulatory networks, prominently involving cell-cycle control, DNA damage responses, and inflammatory signaling. Immunohistochemical analysis of human HFpEF cardiac biopsies confirmed increased p16, {gamma}H2AX, STING, IRF3, NF-{kappa}B p65, and CD68 macrophages, mirroring the murine findings. The 4-Hit mice also developed chronic diabetic kidney disease with increased kidney inflammation, both of which were attenuated by Senolytic therapy. Mechanistically, the cGAS-STING (cyclic GMP-AMP synthase - stimulator of interferon genes) is activated in response to damaged DNA, which in turn activates the downstream immune responses, including NF-{kappa}B and interferons. Cross-species validation further demonstrated that combined metabolic stress impaired cardiac function and nephrocyte function in Drosophila. Cardiac and nephrocyte dysfunctions were independently rescued by cardiomyocyte-specific and nephrocyte-specific inhibition of the cGAS-STING pathway, respectively. In human iPSC-derived cardiomyocytes, irradiation and palmitate induced senescence, DNA damage sensing via ZBP1, and activation of the cGAS-STING-IRF3 signaling axis; ZBP1 knockdown or senolytic treatment suppressed this inflammatory axis. ConclusionsAcross mouse, human, fly, and human iPSC models, our findings identify DNA damage-driven senescence and ZBP1-cGAS-STING signaling as conserved, causal mechanisms linking cardiovascular-kidney-metabolic comorbidities to HFpEF, highlighting senescence and innate immune pathways as promising therapeutic targets.

pathology↗

bioRxiv2026

Computational fluid dynamics enables predictable scale-up of perfusion bioreactors for microvessel production

Scaling up microvessel culture systems is essential for producing vascularized clinically relevant tissues, yet current platforms offer little guidance on how to preserve flow conditions during scale-up. Here, we present a computational-experimental framework using computational fluid dynamics (CFD) to guide the design and scaling of microvessel bioreactors. Interstitial flow distributions were pre-dicted in two perfusion-based platforms-a permeable insert and a rhomboidal microfluidic chamber-across multiple scaling factors and hydrostatic pressures. CFD identified IF ranges conducive to vascu-logenesis and quantified how geometry and pressure modulate flow uniformity. Scaled-up bioreactors generated microvessel networks with consistent morphology and connectivity over a 30-fold increase in culture volume, confirming that maintaining equivalent IF ensures reproducible outcomes. The permeable insert platform maintained uniform IF across scales, while the rhomboidal chamber produced spatially varying IF resulting in heterogeneous but physiologically relevant networks. These findings establish CFD as a predictive tool for rationally scaling perfusion bioreactors, enabling microvessel production at clinically relevant scales with controllable morphology. Significance StatementScaling up microvessel bioreactors is critical for engineering large pre-vascularized tissues. However, larger scales may disrupt flow conditions that drive vessel formation. This study demonstrates that computational fluid dynamics (CFD) can predict interstitial flow and guide the rational scale-up while preserving the vasculogenic microenvironment. Experiments across 30+-fold size increase confirmed that matching inter-stitial flow results in morphologically identical microvessel networks. By linking simulation-based design with experimental validation, this work establishes CFD as design tool for scalable perfusion bioreactors for production of microvessel networks at clinically relevant scales.

bioengineering↗

bioRxiv2026

Causal evidence for a shared mechanism linking language and tool use via the putamen

Both human language and tool use--two hallmark capacities of human cognition--depend on organizing discrete elements, i.e., symbols and actions, into highly constrained structured sequences to achieve a functional goal. However, the neural mechanism linking these capacities is unclear. We combined brain lesion analysis, developmental contrast, and functional neuroimaging to test whether the basal ganglia play a causal role in their shared capacity. In 100 adults with focal brain injury, damage to the putamen disrupted both sentence processing and tool use, with impairments specifically explained by reduced goal-dependent sequence integrity for both tasks. Further comparing populations with typical and deprived early language experience (congenitally deaf adults with vs. without early sign language exposure), we found that early language acquisition was associated with improved tool-use performance and strengthened putaminal responses to such goal dependency, which mediated the relationship between sentence sequence integrity and tool behavior. Together, these results identify the putamen as a key neural substrate supporting goal-dependent sequence integrity across language and action, and show how early language experience shapes this conserved control system. One-Sentence SummaryLanguage and tool use share a putamen-based mechanism that supports goal-dependent sequence integrity, and this mechanism is strengthened by early language experience.

neuroscience↗

bioRxiv2026

Reaction-enabled, highly sensitive super-resolution imaging

Super-resolution microscopy breaking the optical diffraction limit has led to success in illuminating the complexity of biology with fluorescence--light-excited luminescence1,2. Here, we propose another approach for super-resolution imaging with electrochemiluminescence (ECL)--reaction-excited luminescence3,4. While featuring high sensitivity in molecular analytics owing to its laser-free excitation, the current reaction-driven imaging suffers from limited resolution due to low photon budget4. Efficient ECL imaging of intracellular organelles remains elusive. To meet this challenge, we develop RIED (Reaction-based super-resolution Imaging via Entropy-weighted correlation combined with Deconvolution), which builds upon two pivotal advancements: (i) unprecedented ECL intracellular organelles imaging through a 1,000-fold enhancement in ECL emission, and (ii) the super-resolution ECL imaging by the spatiotemporal acquisition and efficient utilization of highly dynamic ECL profiles. RIED allows for the first three-dimensional super-resolution ECL imaging with a spatial resolution of {bsim}97 nm in the lateral dimension and {bsim}235 nm in the axial dimension. This allows to reveal outer mitochondrial membrane topology and distinct microtubule organizations in different mitosis phases, offering a chemistry-based imaging capability for high-throughput imaging and highly sensitive interfacial imaging, which provides a new dimension into biology.

biochemistry↗

bioRxiv2026

Molecularly specific solubilization of therapeutic antibodies

Understanding the effects of formulation excipients on protein solubility is a key part of physical chemistry and pharmaceutical sciences. While excipients are routinely employed to reduce the self-association of biologic drugs, their mechanisms of action remain poorly understood and are often assumed to be broadly nonspecific. Using a high-throughput combinatorial droplet microfluidic platform, we systematically survey and quantify how common pharmaceutical excipients affect the solubility of a diverse panel of therapeutic monoclonal antibodies (mAbs). We show that, while excipients are generally solubilizing, their effects vary substantially across different mAbs, with excipient-specific solubilization scores spanning dynamic ranges of approximately 7-fold to >200-fold across the antibody panel. Histidine, arginine and sodium chloride, in particular, engage in interactions characterized by unique molecular specificity, whereas sucrose effects are largely governed by nonspecific, solvent-mediated interactions. Correlating excipient performance with dynamical mAb molecular features from solvated full-length homology models allows us to dissect and quantify the relative contributions of molecular features governing excipient-mediated solubilization. We envision this new physicochemical understanding lays the groundwork for rational excipient selection and bespoke formulation design, with direct implications for accelerating protein therapeutic development for preclinical scenarios.

biophysics↗

bioRxiv2025

A global deep-sea small protein atlas reveals a reservoir of noncanonical antimicrobial peptides

Small proteins encoded by small open reading frames (smORFs; [≤] 100 aa) represent a largely unexplored dimension of microbial diversity, especially in the deep sea. By analyzing 708 metagenomes from five major deep-sea biomes (hadal trenches, cold seeps, hydrothermal vents, abyssal plains, and seamounts), we constructed the Deep-Sea Small Protein Atlas, comprising 88.7 million smORFs with exceptional novelty and strong habitat specificity. Deep-learning predictions identified 5.47 million candidate antimicrobial peptides (c_AMPs), revealing a peptide space far larger and structurally distinct from known AMPs. Deep-sea c_AMPs are longer, enriched in nonpolar and acidic residues, and exhibit low charge and high intrinsic disorder, suggesting non-membranolytic modes of action. We synthesized 131 representative peptides, of which 87% were antimicrobial, with MICs as low as 1.25 M, broad-spectrum antibacterial and even antifungal efficacy, and minimal mammalian cytotoxicity. Transcriptomics, TEM imaging, and peptide-protein modeling showed that representative peptides preserve membrane integrity while disrupting intracellular processes such as translation and metabolism, supporting intracellular, non-lytic mechanisms. This work uncovers a vast reservoir of previously unrecognized deep-sea small proteins and structurally unconventional AMPs, providing a foundational resource for discovering next-generation peptide therapeutics.

microbiology↗

bioRxiv2025

Automatic binding of basic sensory features requires consciousness

Conscious awareness requires establishing coherent percepts. Yet, whether consciousness is necessary for initiating the integration of basic sensory features remains unclear. Competing theories implicate distinct functional regimes of consciousness in the process of feature binding and creating conscious percepts. We used a novel multi-feature oddball paradigm with intracranial stereo-electroencephalography (sEEG) recordings in awake and anesthetized states to investigate the functional boundary of consciousness. In the awake state, the auditory attributes of loudness and tone, as well as the binding of the two features, were automatically encoded without attention to the stimuli in a functionally localized sensory cortical network. In the anesthetized state, the cortical registration of single attributes was preserved, whereas the binding was abolished. Moreover, anesthesia mostly influenced later cortical processes after stimuli offset. These results reveal the borderline of exertion of consciousness between the encoding and manipulation of basic sensory features in local cortical circuits - the functional boundary of consciousness constrains the feedforward binding and recurrent process directly at local rather than global level computations.

neuroscience↗

bioRxiv2025

Integron-associated structures underlie the accumulation of antibiotic resistance genes on plasmids beyond cassette arrays

Rising multidrug-resistant (MDR) bacteria threatens global public health. While antibiotic selection preserves MDR plasmids, how mobile genetic elements (MGEs) drive the antibiotic resistance gene (ARG) accumulation to form complex plasmid architectures remain elusive. Here, we demonstrate that MDR plasmid evolution follows a hierarchical scheme, where progressive combinations of integrons, IS26, and ISCR elements drive stepwise increases in ARG load. The combination of all these three MGEs were significantly linked to the highest ARG load on plasmids. In the presence of integrons or ISCR elements, ARG numbers in plasmids are strongly and positively correlated with IS26 copy numbers. Such correlations were further validated by Escherichia coli plasmids collected from human and pig wastewater. We propose an integron-IS26-ISCR (3I) framework with four MDR plasmid evolutionary stages of increasing ARG accumulation potential. The "3I" framework refines predictions of MDR plasmid emergence and spread, providing universal genetic markers for cost-effective surveillance.

microbiology↗

bioRxiv2025

Gut Microbiota-derived Adenosine Determines the Efficacy of Electroconvulsive Therapy for Depression

Electroconvulsive therapy (ECT) is a final procedure for major depressive disorders (MDD). However, the effectiveness of ECT in treating MDD patients varies. Here we identified gut microbiota as a potential restraining factor of ECT efficacy. By using a 5-day electroconvulsive shock (ECS) in depression mouse model of chronic restraint stress (CRS), it was observed that the antidepressant effect of ECS was suppressed after antibiotics (ABX)-induced microbiota dysbiosis, which also resulted in elevated c-Fos expression of CRH neurons in paraventricular nucleus of hypothalamus (PVN) and increased serum corticosterone levels after ECS. Metabolomic analysis revealed the critical involvement of microbiota associated purine metabolism, and the supplement of gut microbiota-derived adenosine was able to recover the antidepressant effect of ECS in ABX-treated CRS mouse model. Based on the neural tracing from colon to brain and the immunofluorescence staining, it was surmised a gut-brain axis originated from Adora1-expressing cells in colon mediate this biological process. Furthermore, adenosine supplement alleviated the further deterioration of post-ECS memory loss and impairment of synaptic plasticity induced by ABX-treatment as well. Our findings suggest a potential role of microbial adenosine metabolism in ECT efficacy determination and side effect protection, highlights potential application of adenosine supplement in antidepressant therapies of those depression patients with microbiota dysbiosis.

systems biology↗

bioRxiv2025

Distinctive Functionality of Semantic Hubs: Evidence from Semantic Dementia

Semantic cognition relies on a distributed network with multiple candidate hub regions that bind multimodal conceptual information. While the anterior temporal lobe (ATL) is widely regarded as a core semantic hub, the roles of other candidate regions--such as the fusiform gyrus (FFG) and posterior middle temporal gyrus (pMTG)--remain debated, particularly regarding verbal and non-verbal semantic processing within the same sensory modality. This study examined 33 patients with semantic dementia and 20 healthy controls using a comprehensive behavioral battery (word and picture versions of the Pyramid and Palm Trees Test and a word-picture verification task) combined with multimodal neuroimaging, including voxel-based morphometry, diffusion-weighted imaging, and resting-state fMRI. Partial correlation and commonality analyses revealed that (1) the left ATL selectively underpins abstract verbal semantic processing, (2) the left FFG contributes to general semantic processing across verbal and non-verbal stimuli, (3) and the left pMTG plays a critical role in integrating verbal and non-verbal semantic information. White matter tracts linking the left ATL and FFG to the right ATL significantly predicted semantic integration performance, underscoring the importance of inter-hemispheric structural connectivity. Functional measures in contralateral regions, including amplitude of low-frequency fluctuation (ALFF) in the right FFG and degree centrality (DC) in the right pMTG, also predicted integration outcomes, suggesting compensatory network reorganization. These findings highlight functional specialization among semantic hubs and underscore the importance of multimodal, cross-hemispheric approaches for understanding the neural architecture of semantic representation.

neuroscience↗

bioRxiv2025

Captamer: A Novel Quantitative Protein Detecting Method Depending on Aptamer-activated Molecular Switches and RPA Signal Amplification

There are various protein assays for specific and quantitative detection and widely used for laboratory and clinic purposes, but current methods still have limitations. Immunoassays based on antibodies, like ELISA, suffer from slow response and a long antibody-screening period, while physical or electrochemical methods are generally restricted by high cost or the stringent requirement of equipment or operating skills. In this study, we developed an in vitro sensitive protein quantification method: Captamer. The Captamer system comprises a molecular switch derived from aptamer sequence and an exponential fluorescence signal amplification pathway based on recombinase polymerase amplification (RPA). We demonstrated the Captamer for SARS-CoV-2 nucleocapsid protein detection and obtained results from samples within 30 min, displaying a wide detection window from 0.2 pg/mL to 200 pg/mL with high specificity. Furthermore, we tested the Captamer for Tau441 protein (a potential Alzheimers disease biomarker) and thrombin (a classic aptamer-protein interaction model), showing the limit of detection as low as 1 ng/mL and 0.02pg/mL respectively, which suggested the capacity of Captamer to be applied to various aptamer-protein pairs. Compared with the most commonly used and recently reported protein quantification methods, Captamer stands out for its high sensitivity, short response time, low cost, and simplicity, indicating its great potential to be widely used in protein quantification. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=131 SRC="FIGDIR/small/686180v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1e38ffaorg.highwire.dtl.DTLVardef@1019e72org.highwire.dtl.DTLVardef@1498b68org.highwire.dtl.DTLVardef@15f5ea2_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

AAV11 mediates efficient retrograde trans-neuronal transduction of astrocytes

Understanding the mechanisms by which astrocytes regulate neural circuits is crucial for elucidating the mechanisms underlying cognitive and behavioral abnormalities in psychiatric disorders and for exploring potential therapeutic or intervention strategies. Viral tracers are powerful vehicles for comprehending the complex relationship between neurons and astrocytes. Despite adeno-associated virus 1 (AAV1) based anterograde trans-neuronal tools have been successfully applied for identifying astrocytes connected with presynaptic neurons, analogous retrograde trans-neuronal tools for labeling astrocytes connected to postsynaptic neurons remain under development. Here, we first demonstrate that GfaABC1D promoter embedding AAV11 can transfer retrogradely from axons of postsynaptic neurons to astrocytes. Furthermore, we established an AAV11-based dual-viral recombination strategy for labeling astrocytes connected to specific postsynaptic neurons. Finally, by employing targeted neuronal ablation technology to ablate neurons in a specific brain region, we observed that injection of AAV11 into the downstream brain region of this targeted area exhibited minimal labeling of astrocytes functionally associated with the ablated neurons. This finding indicates that AAV11 holds utility for deciphering pathological alterations in disease-related astrocyte-neuron connectivity networks. This work fills a key gap in tools used for studying astrocyte-neuron connectivity networks.

neuroscience↗

bioRxiv2025

IGP receptors act as redox sensors to mediate broad-spectrum disease resistance induced by cellooligomers

Cys-oxidation is a well-established post-translational regulator of intracellular protein function, yet its role in extracellular receptor-mediated signaling remains poorly understood. Here, we investigate the LRR-Malectin receptor-like kinase IGP1, a key receptor for plant cell wall damage-associated molecular patterns (DAMPs). We demonstrate that IGP1 directly recognizes cellooligomers with a degree of polymerization [≥] 3 via a conserved binding groove in its LRR domain, not the malectin domain as anticipated. Strikingly, a pair of cysteines within the malectin domain functions as a redox sensor, undergoing hydrogen peroxide-induced oxidation that sterically reduces ligand binding affinity and attenuates immune signaling. Phylogenetic analyses reveal that IGP originated after the terrestrialization of plants, and is an evolutionarily conserved redox sensor in land plants. Functional studies in Arabidopsis (Arabidopsis thaliana), wheat (Triticum aestivum), and soybean (Glycine max) confirm that the IGP-cellooligomer module confers broad-spectrum disease resistance. Our work uncovers a unique mechanism where ligand perception and redox sensing are integrated into a single receptor to regulate DAMP-triggered immunity.

plant biology↗

bioRxiv2025

METTL3 Uncouples Chromatin Accessibility from Transcription during Retinal Development

METTL3 is a key regulator of RNA metabolism, yet its genomic and epitranscriptomic roles in tissue development are largely unexplored. Using embryonic stem cell-derived 3D retinal organoids to model retinal progenitor cell (RPC) differentiation, we integrated transcriptome-wide m6A profiling (GLORI), protein-DNA (ChIP-seq and CUT&RUN) and chromatin accessibility (ATAC-seq) mapping, and targeted m6A engineering (dCas13b-FTO) to dissect METTL3 function. Loss of METTL3 nuclear m6A activity disrupted Rx+ retinal anlage formation in vitro, with dCas13b-FTO epitranscriptome engineering revealing that m6A at the Six3 3UTR governs its stability. Surprisingly, while METTL3 loss altered histone modifications and chromatin accessibility, its direct chromatin targets showed little transcriptional correlation. A degron-based METTL3 degradation strategy, paired with protein-RNA interaction profiling, exposed rapid regulatory shifts in RPCs, revealing a METTL3-Ythdf1 protein-RNA axis. Our multi-omics approach establishes METTL3-dependent m6A as a critical epitranscriptomic layer in retinal development, unveiling a genomic paradigm in which chromatin accessibility diverges from transcriptional output.

developmental biology↗

bioRxiv2025

Lifestyle and transcriptional signatures associated with ethnicity/race-related variations in the functional connectome

Understanding the variation of functional architecture across individuals and populations is fundamental to advancing our knowledge of human health and behaviour. Yet, while functional organization differences related to ethnicity/race are consistently reported, their underlying mechanisms remain poorly understood. Here, we apply precision individualized functional mapping to systematically investigate ethnicity/race-related differences in the brains intrinsic organization and their associations with lifestyle and transcriptional signatures. We show that variations in network topography and functional connectivity across ethnic/racial groups follow a hierarchical sensorimotor- association axis and are constrained by brain morphology. Importantly, we identify lifestyle factors-- particularly education and substance use--that significantly mediate these associations between ethnicity/race and functional connectivity. Leveraging human brain gene expression data, we further demonstrate that cortical transcriptional patterns are spatially aligned with ethnicity/race-related variability in functional connectivity. Gene ontology analyses of associated genes reveal significant enrichment in biological processes such as synaptic signalling and neuronal system development. Together, these findings uncover a multi-layered framework linking ethnicity/race-related differences in brain function to structural constraints, lifestyle influences, and molecular signatures, and advance a more comprehensive and equitable understanding of human brain diversity.

neuroscience↗

bioRxiv2025

High-throughput 3D super-resolution ultrasound imaging

Capturing fast hemodynamics in deep organs is essential for understanding microvascular regulation of organ responses to physiological demands and pathological stress. However, non-invasive three-dimensional (3D) imaging of these microscale processes remains challenging due to trade-offs between spatial resolution, imaging speed, and penetration depth. Here, we present fluctuation-based high-order super-resolution acoustic microscope (FLAME), a tracking-free 3D ultrasound imaging technology capable of fast microvascular angiography and flow measurement. Using as few as 30 volumes, FLAME improves 3D ultrasound resolution by 8-fold ([~]50 m) and shortens data acquisition time by over two orders of magnitude, from tens of seconds to tens of milliseconds, compared with conventional tracking-based super-resolution approaches1-6. This high-throughput capability supports high-fidelity imaging of tissue functions under flexible experimental settings. FLAME achieves an unprecedented 3D super-resolution frame rate of [~]40 Hz, capturing transient hemodynamic responses to various physiological and pathological stimuli in different mouse organs, from the microvascular level to the whole-body scale. With open-sourced implementation, FLAME provides an accessible platform for real-time, in-depth hemodynamic monitoring across diverse biomedical applications and clinical translation.

bioengineering↗

bioRxiv2025

Lipid Bilayer Membranes with Asymmetrically Distributed LPC and DAG

The complex chemical and biophysical characteristics of biomembranes are influenced by the asymmetric distribution of specific lipids. In vitro, the introduction of lysophosphatidylcholine (LPC) into one leaflet of lipid bilayers is frequently utilized to regulate membrane protein activity. In vivo, the conversion of phosphatidylinositol 4,5-bisphosphate (PIP2) to diacylglycerol (DAG) in one leaflet can also modulate membrane protein activities. However, the effects of such variations in lipid composition, lipid quantity, and particularly the asymmetry of lipid distribution on the properties and morphology of biomembranes remain to be fully elucidated. Through molecular dynamics simulations, we demonstrate that the asymmetric distribution of LPC and the asymmetric conversion of PIP2 induce asymmetric alterations in membrane structures and lipid dynamics. Such alterations can generate an imbalance in the lateral pressure distribution between the two leaflets, potentially leading to membrane curvature. The extent of membrane curvature is also influenced by the length and degree of unsaturation of the lipid acyl tail chain. Our findings underscore the critical role of lipid asymmetry in shaping biomembrane structure and dynamics, providing new insights into the regulation of membrane proteins and cellular functions mediated by these specific lipids.

biophysics↗