Biology subjects

Liu, W.

Publications and source records attributed to Liu, W..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Avs2 drives non-canonical tetrameric assembly of trypsin-like domain for anti-phage defense

Bacteria have evolved diverse anti-phage defense systems, with the antiviral STAND family (Avs) representing one of the most diverse and widespread, encompassing at least 90 distinct families, yet only Avs3, Avs4, Avs5 and Avs7 have been well characterized. Here, we elucidated the molecular mechanism of Avs2-trypsin-MBL system, where phage terminase recognition by Avs2 triggers coupled activation of the protease and nuclease activities of trypsin-MBL. Cryo-EM structure of Avs2-trypsin-terminase and biochemical analysis reveal that the binding of terminase ATPase domain triggers the assembly of Avs2 into tetramer, with two unique ATP molecules bridging ATPase active-site recognition by TPR domain. This tetramerization drives the fused trypsin into an active C4-symmetric assembly, an architecture distinct from the conventional non-defense trypsin. Our study unravels the activation mechanism of Avs2-trypsin-MBL system, expanding our understanding on commonality and diversity of widespread Avs-mediated anti-phage immunity, alongside the structural and functional adaption of trypsin.

microbiology↗

bioRxiv2026

AFP-R: An Open Resource Dedicated to Antifreeze Proteins

Antifreeze proteins (AFPs), lower the freezing point via thermal hysteresis activity and/or ice recrystallization inhibition, playing a crucial role in protecting organisms from freezing damage under sub-zero milieu. This property endows them with promising applications in biomedicine and agriculture, ranging from tissue-organ cryopreservation to the development of frost-resistant crops. However, the lack of comprehensive resources dedicated for AFPs hinders further progress in elucidating their functional mechanisms and advancing their applications. Here, we report AFP-R, an online resource comprising AFP-DB and AFP-Predictor. AFP-DB is a comprehensive database with manually curated proteins bearing experimentally validated antifreeze activity derived from published literature, whereas AFP-Predictor is a sequence-based machine-learning model to identify AFPs. AFP-DB stores diverse AFP-related information, including sequences, structures, post-translational modifications, taxonomy and annotations of antifreeze-activity experimental assays. It now holds 186 entries, 607 sub-entries, and 1444 experimental records. AFP-Predictor, an AFP-identification algorithm built on protein language model ESM2 (Evolutionary Scale Modeling2), is trained on data in AFP-DB and outperforms several existing models. This work offers a valuable resource for systematically dissecting the mechanisms underlying AFP antifreeze activity and will facilitate their broader applications.

bioinformatics↗

bioRxiv2026

Intracranial Validation of Magnetoencephalography Across Oscillatory Frequency and Depth

Non-invasive, whole-brain neuroimaging methods such as functional magnetic resonance imaging, electroencephalography (EEG), and magnetoencephalography (MEG) are essential tools for studying the basis of human cognition in health and disease. MEG offers the opportunity to study neural activity at its intrinsic timescale, by recording the magnetic fields generated by electrical currents within the brain from outside the skull. Moreover, recently developed optically pumped magnetometers (OPMs) allow these recordings to take place in new settings, for example during naturalistic behaviour and in previously inaccessible populations. These breakthroughs have led to a shift in the neuroimaging landscape, with a global increase in the adoption of MEG. Crucially, however, the extent to which MEG recordings can measure different features of neural activity remains unclear. To address this issue, we leveraged a unique and rare dataset of concurrent MEG and intracranial EEG recordings from a cohort of epileptic patients. We found that group-level inferences of spontaneous oscillatory dynamics made with source-localised MEG, i.e. estimates of power and bursts, accurately reflected the underlying neural activity. As expected, the agreement was strongest for lower-frequency activity (delta, theta, and alpha) and superficial sources, and weakest in the gamma range. Crucially, however, MEG was also sensitive to deep structures: it captured oscillatory power and burst dynamics in the hippocampus, most robustly in the theta band. These findings demonstrate that MEG is sensitive to physiologically meaningful activity in cortical and subcortical regions and establish a foundation for the interpretation of future MEG studies across a wide range of research domains.

neuroscience↗

bioRxiv2026

Whole-genome duplication drives biosynthetic gene cluster fragmentation and regulatory rewiring of monoterpene indole alkaloid metabolism in Strychnos

Whole-genome duplications (WGDs) reshape plant genomes by generating redundancy, after which lineage-specific architectures emerge through fractionation, gene loss and rearrangement. How specialized metabolic pathways remain functionally integrated after such large-scale restructuring remains poorly understood. This problem is especially relevant for biosynthetic gene clusters (BGCs), which physically organize specialized-metabolism genes yet can be disrupted by post-duplication rearrangement. Here, we present the first chromosome-level genomes for Loganiaceae, including near telomere-to-telomere assemblies of Strychnos ignatii and S. pubescens, together with a draft genome of the extinct species S. ridleyi. Following a lineage-specific WGD, the two extant Strychnos species evolved contrasting genome-evolutionary trajectories and metabolite profiles: S. ignatii shows expansion of monoterpenoid- and monoterpene indole alkaloid (MIA)-associated gene families and strychnine-type MIA dominance, whereas S. pubescens exhibits elevated transposable element activity associated with DNA-binding with one finger (DOF)-linked regulatory rewiring and broader sesquiterpenoid- and triterpenoid-rich chemistry. Crucially, both species retain active strychnine biosynthesis despite fragmentation of a deeply conserved alkaloid BGC in MIA-producing Gentianales, revealing how pathway function can persist after disruption of ancestral BGC architecture. Comparative metabolomic and transcriptomic pathway analyses indicate norfluorocurarine oxidase (NO) as a major divergence point associated with strychnine accumulation. Promoter analyses, yeast one-hybrid assays, and electrophoretic mobility shift assays support a model in which S. ignatii retains the canonical jasmonate-responsive MYB, MYC2/bHLH, and AP2/ERF cis-regulatory module at NO, whereas the orthologous S. pubescens promoter shows reduced capacity to recruit these activators and instead exhibits a DOF-associated architecture. Together, our results show that WGD can decouple physical cluster architecture from pathway function, allowing specialized metabolic pathways to remain active while divergent chemical phenotypes evolve through lineage-specific combinations of coding-space expansion and transposable-element-associated cis-regulatory rewiring.

evolutionary biology↗

bioRxiv2026

Port of Protein-Protein Interactomes: An experiment-based protein-protein interactome database for rice

Protein-protein interactions (PPIs) play a crucial role in enabling proteins to carry out their functions within various biological processes (Hui et al., 2003). Since the introduction of the yeast two-hybrid (Y2H) method for PPI detection in 1989 (Fields and Song, 1989), the identification of PPIs has become a significant focus in modern biological research. PPI goes beyond examining individual proteins, allowing researchers to establish a comprehensive network that regulates biological processes. Rice, as a key model organism in plant biological studies, has been at the forefront of PPI research. In 2008, prominent rice scientists in China called for concerted efforts to define a comprehensive protein-protein interaction network experimentally, which aimed to facilitate the prediction of the functional mechanisms operating throughout a plants lifecycle (Zhang et al., 2008). With efforts for 2 decades, the experimentally identified rice PPIs have reached over ten thousand. Several public databases have been established to systematically collate and store PPIs, including STRING (Szklarczyk et al., 2019), BioGRID (Oughtred et al., 2020), IntAct (del Toro et al., 2022), PRIN (Gu et al., 2011), RicePPINet (Liu et al., 2017) and RiceNet v2 (Lee et al., 2015). However, most PPI datasets in rice stem from computational predictions, while experiment-based rice PPI datasets are fragmented due to the lack of systematic profiling at the rice PPIome level, which largely hinders information sharing in the rice research community. To bridge this gap, we constructed the Port of Protein-Protein Interactomes (POPPIN; https://riceome.hzau.edu.cn/poppin/), an integrated database dedicated to sharing experimentally verified PPIs and functional clues in rice. Empowered by high-throughput PPIome profiling technologies and text mining assisted by a large language model (Huang et al., 2025; Liu et al., 2025), POPPIN currently has deposited over 150,451 pieces of rice PPI-related information. Additionally, POPPIN provides detailed protein information, including GO annotations, subcellular localizations, domains, trait ontology (TO) information, and hyperlinks to external biological databases. Through offering a user-friendly web interface for search and dynamic network visualization, POPPIN serves as the first large-scale, experiment-based database for searchable PPIs in rice, and has the potential to be extended to other species under this structural framework.

systems biology↗

bioRxiv2026

Cytokinesis Arrest-induced Binucleation of Macrophages ProducesHighly Efficient Efferocytes

Efferocytosis, the phagocytic clearance of dying cells and debris, supports tissue homeostasis, immune tolerance, and inflammation resolution, whereas its failure contributes to autoimmunity, atherosclerosis, aging, and impaired tissue repair. Although many molecular regulators of efferocytosis have been defined, less is known about whether macrophages can be reprogrammed into a distinct cellular state with intrinsically enhanced efferocytosis capacity. Guided by a CRISPR screen, we found that Pdcd6ip loss induces cytokinesis arrest and binucleation, creating macrophages with superior efferocytic function. Binucleated Pdcd6ip-/- bone marrow-derived macrophages demonstrate a coordinately enhanced multi-corpse capture and processing, and resolution response, and acquired a distinct transcriptomic signature. In vivo, Pdcd6ip deletion enhanced splenic macrophage efferocytosis, reduced autoimmune responses after repeated apoptotic cell challenge, and promoted plaque stability without metabolic or hematologic changes. PDCD6IP perturbation similarly increased binucleation and engulfment in human macrophage-like cells. Thus, incomplete cytokinesis represents an unrecognized route to macrophage specialization with enhanced efferocytosis capacity.

cell biology↗

bioRxiv2026

Immunometabolic Reprogramming by Thyroid-Stimulating Antibodies Drives Orbital Adipogenesis via Histone Lactylation in Thyroid Eye Disease

Thyroid eye disease (TED) is conventionally viewed as an autoimmune inflammatory disorder. However, the metabolic determinants driving orbital tissue remodeling remain largely undefined. Here, we uncover a paradigm-shifting mechanism whereby thyroid-stimulating antibodies (TSAbs) instigate profound metabolic reprogramming in orbital fibroblasts (OFs), driving a switch toward glycolysis and markedly elevating lactate production via the CREB/LDHA axis. Critically, we demonstrate that this TSAbs-induced metabolic perturbation is not a mere byproduct but the principal driver of pathology. Mechanistically, lactate functions as a signaling metabolite that directly potentiates adipogenesis via histone lactylation-dependent transcriptional activation of the master adipogenic regulators PPAR{gamma} and C/EBP. Collectively, our findings underscore metabolic reprogramming as a central pathogenic mechanism in TED, whereby autoimmune cues drive disease progression through metabolic-epigenetic crosstalk. This work substantiates the paradigm of TED as an immune- metabolic disorder.

immunology↗

bioRxiv2026

Proteome-wide QTL mapping enables gene-protein-phenotype metabolic network construction in a genetically diverse MASLD mouse model

The limited treatment options available for the estimated 38% of adults worldwide affected by Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) are largely due to an incomplete understanding of the complex molecular networks underlying disease pathogenesis. To dissect the genetic architecture and proteomic regulation underlying MASLD, we generated a genetically diverse mouse cohort through a four-way cross of founder strains with varying susceptibility to liver disease, producing 444 F2 mice with a spectrum of phenotypes and genotypes. Utilizing deep proteomic profiling of the livers of this population, we identified quantitative trait loci (QTL) for 2,652 proteins, spanning over 4,000 unique genomic loci, and distinguished cis- and trans-acting regulatory mechanisms. Integrating proteomic, genomic, and phenotypic data reveals key regulatory loci and candidate proteins influencing disease progression, creating a mineable proteogenomic resource for MASLD research. We utilize this resource to identify the E3 ubiquitin ligase Ubr1 as a candidate central regulator connecting proteostasis and lipid metabolism, with genetic polymorphisms that may alter its abundance and predispose to metabolic dysfunction. This study demonstrates how high-throughput, deep proteome profiling integrated with QTL mapping can reveal complex gene-protein networks governing MASLD susceptibility and progression, offering novel insights for biomarker discovery and therapeutic targeting.

systems biology↗

bioRxiv2026

Astrocytes instructively regulate neuronal translation

Neuronal protein synthesis is essential for synaptic plasticity and long-term memory, yet whether its regulation is shaped by other cell types remains poorly understood. Here, we show that astrocyte-secreted proteins regulate global neuronal translation depending on astrocytic state. Astrocyte-conditioned medium (ACM) increased neuronal translation under basal conditions, an effect enhanced by astrocyte stimulation with the activity-dependent factor BDNF, whereas ACM from neurotoxic reactive astrocytes, a state linked to neuroinflammation and Alzheimers disease, suppressed neuronal translation. Across these conditions, neuronal mTORC1 activity consistently tracked with translational output, whereas the integrated stress response (ISR) acted through distinct, state-specific mechanisms that did not always track with neuronal translation. Furthermore, we identified astrocyte-secreted apolipoprotein E (APOE) and its associated cargo as a negative regulator of neuronal translation that contributed to the decreased translation induced by neurotoxic reactive astrocytes. We also found that astrocyte-secreted signals required neuronal endocytosis to influence translation and drove synaptic remodeling dependent on glutamatergic signaling and neuronal mTORC1 activity. Together, these findings identify astrocytes as active, instructive regulators of neuronal translation and synaptic structure, with implications for understanding how astrocyte dysfunction may disrupt the translational mechanisms underlying impairments in synaptic plasticity and long-term memory in neurodegenerative disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/741020v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@74ecborg.highwire.dtl.DTLVardef@1c620a0org.highwire.dtl.DTLVardef@881b8corg.highwire.dtl.DTLVardef@1c8b7e4_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2026

Imaging-Based Age- and Sex-specific Cardiovascular and Skeletal Phenotypes in Fbn1C1041G/+ Mice

Marfan syndrome is a multisystem connective tissue disorder with age-dependent and sex-dependent phenotypic variability. This study characterized early cardiovascular, valvular, transmitral flow, and skeletal changes in Fbn1C1041G/+ mice. Male and female wild-type and Fbn1C1041G/+ mice were examined from 4 to 20 weeks of age. Transthoracic echocardiography was used to measure aortic root and ascending aortic diameters, anterior mitral leaflet length, and mitral inflow Doppler parameters. Lateral X-ray imaging was used to quantify kyphosis angle. Fbn1C1041G/+ mice of both sexes developed progressive aortic dilation, with earlier and broader aortic root involvement in males and delayed annular dilation in females. Anterior mitral leaflet elongation was detected from 8 weeks in males and at 20 weeks in females. In contrast, reduced E-wave velocity and E/A ratio were present from 4 weeks in both sexes, without changes in A-wave velocity. Kyphosis was detectable earlier in females than in males. These findings show that early Fbn1-related phenotypes follow organ-specific and sex-dependent temporal patterns, supporting age-resolved and sex-stratified assessment in preclinical Marfan syndrome studies.

pathology↗

bioRxiv2026

Unearthing a fungal giant: Dianjunaceae fam. nov., a novel Paleocene lineage of Xylariales harbouring Dianjunus rex gen. et sp. nov.

During mycological surveys in Yunnan Province, China, specimens of a fungus producing massive, upright stromata up to 50 cm high and individually 2.2 Kg in weight were sampled. Through an integrative taxonomic approach combining detailed morphology, multilocus phylogeny (ITS, LSU, RPB2, TUB2), and phylogenomic analyses, this fungus is proposed as the new species Dianjunus rex gen. et sp. nov., the type of the new family Dianjunaceae (Xylariales). Phylogenetic analyses robustly place Dianjunaceae as a distinct sister clade to Graphostromataceae. Divergence time estimation dates the origin of this family to the early Paleocene ([~]65 Mya), coinciding with the post-K-Pg extinction period, when an estimated 75% of all plant and animal species went extinct, and a significant ecological reorganization of life on earth happened. The stromata of D. rex represent the largest fructifications documented within the Ascomycota, significantly expanding the known morphological range of the Xylariales. The study provides a comprehensive description, including a nodulisporium-like anamorph with periconiella-like branching patterns, and discusses the taxons phylogenetic placement, and distinctive morphology. This discovery highlights the unexplored fungal diversity in East Asian forests.

microbiology↗

bioRxiv2026

Genetically informed single-cell and spatial mapping of metabolic programs in human health and disease

Defining cell-type-specific endogenous metabolic features, the spatial distribution of cell-level metabolic states and cellular responses to exogenous metabolites is very important for understanding disease mechanisms. However, existing transcriptome-based metabolic models primarily infer intracellular reaction or pathway-level activities, and therefore cannot directly assess associations between individual metabolite levels and cellular states, particularly for metabolites that act extracellularly as signalling molecules rather than entering cells as metabolic substrates. To overcome this problem, we introduce the gmMAP (Genetically informed metabolite trait mapping across single-cell and spatial tissues), a framework that integrates metabolite GWAS summary statistics with single-cell and spatial transcriptomes to map metabolic programmes at cellular and spatial resolution. Notably, the gmMAP enables the prediction of endogenous metabolic process activation while also revealing intrinsic associations between exogenous metabolites and diverse cellular functional states. To further capture the connectivity of cellular metabolic networks, we incorporated a constraint-based metabolic flux model to evaluate global metabolic activity. To evaluate the accuracy and generalizability of gmMAP, we applied the framework across representative biological contexts spanning human development, physiological homeostasis, inflammation and cancer. In human kidney development, the gmMAP captured dynamic metabolic programmes, which was validated using paired transcriptomic and metabolomic reference datasets, supporting its reliability in metabolite identification and metabolic-flow inference. At the organ level, the gmMAP reconstructed spatial metabolite distribution patterns across 17 mouse organs under homeostatic and autoimmune inflammatory conditions, and further extension of gmMAP to 24 normal human tissues generated a multi-scale metabolic atlas at both organ and cellular resolutions. In disease settings, gmMAP revealed metabolic reprogramming across 29 pan-cancer cell populations, and identified potential links between exogenous metabolites and inflammation-associated stromal metabolic remodelling in ulcerative colitis. Together, gmMAP can consistently connect genetically informed metabolite traits with cell states, spatial tissue organization and disease pathology.

genomics↗

bioRxiv2026

A rare pre-existing progenitor-like Primed SMC compartment is the dominant inferred source of SMC-derived cellularity in vascular injury and atherosclerosis

The cellular origin of smooth muscle cell (SMC)-derived populations in vascular lesions remains unresolved. Here we show, using single-cell transcriptomic analyses spanning carotid ligation injury, Myh11-CreERT{superscript 2}-traced aortic homeostasis, and LDLR- and ApoE-deficient atherosclerosis, that a rare progenitor-like "Primed" SMC compartment pre-exists at baseline in all models and in the healthy human aorta. Relative to contractile SMCs, Primed SMCs attenuate sarcomeric and contractile programmes while inducing matricellular, progenitor-niche and chondrogenic-poised developmental programmes, resolving into conserved niche/progenitor (Cd34, Fst, Tnfrsf11b) and matricellular (Vcam1, Thbs1, Timp1) cores overlaid by vessel-specific signatures, on a retained SMC identity. Multiple orthogonal computational lineage-inference approaches indicate that this compartment expands predominantly through autonomous self-renewal and is the dominant inferred source of cycling and lesion fibrochondrocyte populations, while contractile SMCs are consistently depleted as a feeder source. These findings reframe lesional SMC cellularity as expansion of a pre-existing Primed compartment rather than widespread phenotypic switching of contractile SMCs.

Cell Biology↗

bioRxiv2026

Ergothioneine, alone or combined with vitamin K2, vitamin D3 and magnesium L-threonate, attenuates bone turnover, inflammatory and oxidative disturbances in ovariectomized mice

PurposeEstrogen deficiency drives bone loss through a complex interplay of endocrine, oxidative, inflammatory, and bone-remodeling disturbances. Ergothioneine (EGT) is a diet-derived thiol/thione antioxidant, yet its effects on the estrogen-deficient skeleton remain unknown. This study evaluated whether EGT-alone or combined with vitamin K2, vitamin D3, and magnesium L-threonate-attenuates the skeletal and systemic consequences of ovariectomy (OVX) in mice. MethodsForty-eight female C57BL/6J mice underwent either sham surgery or OVX. For 12 weeks, the mice received a daily oral gavage of one of the following: vehicle, alendronate (1.53 mg/kg), EGT (30 mg/kg/day), EGT with vitamin K2 (40 {micro}g/kg/day) and vitamin D3 (500 IU/kg/day), or EGT with vitamin K2, magnesium L-threonate (350 mg/kg/day), and vitamin D3 (n = 5-6 per group). Outcomes evaluated included the uterine index, tibial micro-computed tomography (micro-CT), distal-femoral histology, serum bone turnover markers (CTX-I, PINP, osteocalcin), sex hormones, TNF-, IL-6, SOD, and MDA. ResultsOVX significantly lowered the uterine index and induced tibial trabecular deterioration. This was accompanied by increased CTX-I, TNF-, IL-6, and MDA, alongside decreased PINP, osteocalcin, and SOD (all P < 0.01 vs. sham). Alendronate successfully restored tibial micro-CT bone-volume fraction (BV/TV) and trabecular number (P < 0.01 vs. OVX). While the EGT-based regimens did not significantly restore tibial micro-CT BV/TV, trabecular thickness, or trabecular number (all P > 0.05 vs. OVX), they significantly increased the trabecular area in distal-femoral histology (14.2-15.0% across regimens vs. 7.6% in OVX; P < 0.05). Furthermore, EGT treatments lowered CTX-I, TNF-, IL-6, and MDA, increased SOD, and partially restored PINP and osteocalcin (P < 0.05-0.01 vs. OVX). Apparent increases in serum estradiol were assay-dependent and are considered exploratory. ConclusionEGT-based nutritional regimens improved the systemic oxidative, inflammatory, and bone-turnover environments associated with estrogen-deficient bone loss and successfully preserved the distal-femoral trabecular area. However, tibial three-dimensional microarchitecture was not restored on micro-CT. Given that histological and micro-CT endpoints were evaluated at different skeletal sites, structural interpretations should be made with caution. These findings support the further evaluation of EGT as a dietary adjunct, warranting subsequent mechanistic and dose-optimization studies.

pharmacology and toxicology↗

bioRxiv2026

Development of Deep-Learning Models that Predict Quantitative Protein-Ligand Interac-tions in Glycobiology as a part of a Capstone Course

Glycans coat the surface of all cells, and every glycan is recognised by specific glycan-binding proteins (GBPs). There are no general tools that can accurately estimate the binding strength between glycan and GBP from the amino acid sequence of the GBP and the molecular structure of the glycan, represented as SMILES string. We describe models for predicting such binding strengths developed as a part of a Capstone Course at the University of Alberta. The models are trained on a dataset that combines BindingDB, a published database of small-molecule protein interactions, and data from glycan arrays measured by Consortium of Functional Glycomics (CFG). In this hybrid dataset of protein-ligand interactions the ligands are both glycans from CFG and small molecules from BindingDB; similarly, proteins include GBP and proteins from BindingDB. Three models are presented (i) ProMax which fuses ESM-2, MolFormer, and MolCLR features; (ii) APEX which constrains learning to a predetermined form, a physical model of binding; (iii) UltraMax adds inter-atomic distances for the ligands. To address the datasets severe long-tail distribution, the models employ tail-aware losses for rare high-binding instances. Trained and evaluated on approximately one million protein-ligand pairs using hold-out splits for unseen molecules, the three models provide a unified framework for quantitative glycan-protein binding prediction. We observed that learning glycan-protein binding is harder than the similar task of learning small-molecule-protein interactions. Simple mirror-inversion tests led us to postulate that insufficient use of chiral features is an important source of difficulty in learning these interactions.

bioinformatics↗

bioRxiv2026

Aging promotes inflammation and steatosis in alcohol-associated liver disease in mice

Background and AimsAs the older population (aged 65 years and older) continues to expand and more people drink alcohol, aging has been linked to the development of alcohol-associated liver disease (ALD) and to worse disease outcomes. The aim of this study was to explore the mechanisms by which advanced age and alcohol exacerbate alcohol-induced liver injury. MethodsTwo-to-three-month-old and twenty-to-twenty-two-month-old male C57BL/6N mice were subjected to chronic-on-binge alcohol feeding (the Gao-binge model). Serum alanine aminotransferase, aspartate aminotransferase, and triglyceride content were determined using biochemical assays. The levels of lipogenesis, fatty acid-metabolizing proteins, inflammatory markers, mitochondrial and autophagy-related proteins, and senescence-associated proteins were determined by immunoblotting, immunohistochemistry, and real-time quantitative polymerase chain reaction (RT-qPCR). Liver tissues were also subjected to RNA sequencing and metabolomics analyses. Proteomics analysis was performed on serum samples. Tail-vein adenovirus-TFEB was injected to overexpress hepatic TFEB in 22-month-old C57BL/6N male mice, followed by Gao-binge alcohol feeding. ResultsHepatic triglyceride content was significantly increased in aged, alcohol-fed mice, whereas serum ALT and AST levels remained relatively similar between alcohol-fed young and aged mice. Gao-binge alcohol increased the hepatic levels of diacylglycerol and acyl-carnitine species in both aged and young livers. RNA sequencing, proteomic analysis, and serum cytokine array analysis showed that inflammatory cytokines, including Ccr2, Cxcl1, and CCL6, and pro-inflammatory antibody fragments were increased in aged, alcohol-fed mice. Increased gene and protein expression of the senescent markers p21 and p27, along with increased senescent-associated (SA) {beta}-galactosidase activity in ethanol-fed aged mice compared to young mice. Gene and protein expression of TFEB was downregulated in ethanol-fed young and aged animals, along with decreased levels of lysosomal ATPases and hepatic dipeptide content. Overexpression of TFEB in the livers of aged, Gao-binge-fed mice was associated with reduced Ly6G-positive cells, reduced protein levels of the innate immune mediators cGAS, IRF-7, IRF3, and NLRP3, and reduced caspase-1 activity as well as serum ALT levels. ConclusionsOur findings indicate that advanced age perpetuates the detrimental effects of excessive alcohol consumption on various homeostatic processes and promotes steatosis and inflammation in the liver. Modulations in hepatic TFEB could be effective in mitigating pro-inflammatory signaling that occurs due to the synergistic effect of both heavy alcohol consumption and advanced age.

Molecular Biology↗

bioRxiv2026

A Stress-Adaptive Lipid Kinase Axis Defines Metabolic Vulnerabilities in Neuroendocrine Prostate Cancer

Neuroendocrine prostate cancer (NEPC) persists in a profoundly hypoxic microenvironment, yet the mechanisms enabling tumor adaptation to this metabolically challenging niche remain undefined. Here, we identify the lipid kinase PIKfyve as overexpressed in NEPC, functioning as a central node in a stress-lipid kinase axis that drives adaptation to persistent endoplasmic reticulum (ER) stress. Mechanistically, NEPC requires PIKfyve-mediated lysosomal degradation and lipid recycling to maintain metabolic homeostasis under hypoxia. PIKfyve inhibition disrupts lysosomal function, leading to ER stress accumulation and activation of a compensatory, sterol regulatory element-binding protein (SREBP)-dependent de novo lipogenesis program essential for NEPC survival. This stress-lipid axis creates a synthetic vulnerability between PIKfyve and fatty acid synthase (FASN), where dual inhibition synergistically amplifies ER stress, triggers the terminal unfolded protein response, and induces tumor cell death. These findings reveal a metabolic adaptation in NEPC and provide preclinical evidence that co-targeting PIKfyve and FASN can overcome hypoxia-associated stress adaptation.

cancer biology↗

bioRxiv2026

Ubiquitin Chloromethylketone Probe Enables Activity-based, Selective Protein Profiling of E2 Ubiquitin Conjugating Enzymes

Ubiquitin (Ub) conjugating enzymes (E2s) are central to Ub signaling, yet their systematic activity-based profiling remains challenging due to the weak nucleophilicity and elevated pKa of their catalytic cysteines. Existing Ub probes primarily target deubiquitinases (DUBs) and the only reported E2-targeting probe requires E1-dependent activation to capture limited E2s. To profile E2s broadly, here Ub chloromethylketone (UbCMK) is reported as a standalone activity-based probe. Density functional theory calculations identified CMK as a highly electrophilic warhead with a low activation barrier for reaction with weakly nucleophilic thiolates. UbCMK was synthesized via activated cysteine-based protein ligation and irreversibly labeled multiple E2s and cysteine DUBs. Activity-based protein profiling and quantitative proteomics in HEK293T cell lysates revealed broad enrichment of E2 enzymes, including many previously inaccessible to other probes. UbCMK furthermore enables activity-dependent quantification of endogenous E2 mobilization across oxidative, proteotoxic, inflammatory, metabolic, lipid oxidative, and genotoxic stress conditions. In addition, UbCMK engages both E1s and DUBs as well, indicating its broad utility as a probe. Collectively, these results establish UbCMK as a powerful chemical tool that expands activity-based protein profiling coverage across the Ub-proteasome system and enables functional interrogation of E2 enzymes under physiological and pathological conditions.

biochemistry↗