Biology subjects

Wu, X.

Publications and source records attributed to Wu, X..

At least 181 records · Page 10Linked to original sources

bioRxiv2025

Human meibomian gland organoids to study epithelial homeostasis and dysfunction

Meibomian glands (MGs) are holocrine glands that secrete lipids to maintain the homeostasis of ocular surface, and their dysfunction leads to dry eye disease. Herein, we established long-term 3D organoid culture for murine and human MGs, which retained the cell lineages and lipid-producing ability. The organoids mimicked the drug treatment responses and generated functional MGs after orthotopic transplantation. Inspired by organoid cultures, we found FGF10 eye drops could rescue all-trans retinoic acid-induced MG dysfunction in mice. Besides, nicotinamide uniquely hampered the human MG organoid expansion by inhibiting FGF10 signaling. Single-cell atlas and lipidome not only aligned the delineated cell types and featured lipids between human MGs and organoids, but highlighting MAPK signaling inhibition enhanced acinar cell differentiation and functional maturation of MG organoids. In summary, this study established an organoid platform to explore epithelial homeostasis and dysfunction of MGs, facilitating drug development and regenerative medicine for dry eye disease.

cell biology↗

bioRxiv2025

H3K4me1 directs H3K36me2 and H3K36me3 deposition in land plants

Monomethylation of histone H3 lysine 4 (H3K4me1) marks enhancers in mammals. However, the function of H3K4me1 in plants remains largely unclear. Here, we analyzed the genome-wide distribution of H3K4me1 in diverse species across evolution, revealing a distinctive H3K4me1 distribution pattern in land plants. To explore the function of H3K4me1 in plants, we identified an H3K4me1-specific reader protein, Early heading date 3 (Ehd3), and solved the structure of Ehd3 in complex with the H3K4me1 peptide, revealing a unique binding module differing from the previously reported PHD finger proteins. We further identified an Ehd3-binding protein, SET domain group 724 (SDG724), and the deletion of either Ehd3 or SDG724 caused similar defects in plant phenotype and changes in transcriptome and epigenome profiles. Both Ehd3 and SDG724 are enriched at chromatin regions marked by H3K4me1 but not H3K4me2 or H3K4me3. Ehd3 activates the H3K36 methyltransferase SDG724, and H3K36me2/me3 are colocalized with H3K4me1 in the genomes of land plants. Collectively, our results reveal that H3K4me1 directs the establishment of H3K36me2 and H3K36me3 in land plants.

molecular biology↗

bioRxiv2025

Biological characteristics of rabbit KLF12 and its regulation of proliferation and apoptosis of ovarian granulosa cells

Granulosa cells (GCs), as the largest somatic cell group in follicles, provide nutrients and microenvironment for oocyte growth and maturation. GC proliferation and apoptosis are influenced by several genes, with the Kruppel Like Factor 12 (KLF12) gene contributing to the modulation of several cellular activities. Nevertheless, the precise modulatory function of this gene within the context of ovarian GCs remains unelucidated. We cloned the KLF12 gene of New Zealand female rabbits, and evaluated its expression and localization in the ovaries of female rabbits of different ages by quantitative real-time PCR (qRT-PCR) and fluorescence in situ hybridization (FISH). In order to determine the role of KLF12 in ovarian GCs, we used qRT-PCR, WB, CCK-8 and Annexin V-FITC/PI to detect the effect of KLF12 on GCs proliferation and apoptosis. The coding sequence of KLF12 gene of New Zealand female rabbit was predicted and cloned for the first time in this study. The coding region was 1209 bp, encoding 402 amino acids. KLF12 overexpression has a negative effect on the proliferation and cell cycle progression of rabbit GCs. KLF12 knockdown partially rescues GCs proliferation, accelerates GCs cycle progression, and promotes Estradiol (E2) and Progesterone (P) secretion. In addition, KLF12 was also proved to be a key regulator of PI3K/Akt signaling pathway in GCs. In conclusion, the study provides evidence that KLF12 plays a pivotal role in the maturation and proliferation of ovarian GCs in female rabbits. This work establishes a conceptual foundation for investigating deeper into the possible regulatory mechanisms underlying follicular development and growth. Author summaryGCs are essential for oocyte growth, not only providing necessary nutritional support for oocyte growth and maturation, but also constructing a key microenvironment. In this study, the biological function of KLF12 gene was systematically elucidated in rabbit for the first time. It was found that KLF12 inhibited follicular development by negatively regulating GCs proliferation and cell cycle. Combined with its effect on E2 and P secretion, the important regulatory role of KLF12 in follicular maturation and hormone balance was revealed. These innovative findings not only deepen the understanding of the regulatory network of ovarian development, but also provide a new theoretical basis for the basic research of reproductive biology. More importantly, it provides a potential molecular target for the development of new technologies to improve the reproductive efficiency of livestock. It also provides a valuable reference model for the study of the mechanism of human reproductive dysfunction related diseases.

genetics↗

bioRxiv2025

A lineage-specific heat-induced feedback loop controls HrcA to promote chlamydial fitness under stress

Bacterial stress responses rely on transcriptional regulation by sigma factors and repressors. In Chlamydia, which lacks a dedicated heat shock sigma factor, repressor HrcA limits chaperone gene expression under non-stressed conditions. While HrcA function may be enhanced by the chaperone GroESL in a positive feedback loop, here we identify a heat-induced negative feedback loop mediated by HagF, a protein unique to Chlamydiota and conserved across Chlamydia species. We show that HrcA represses hagF, but heat shock induces hagF expression, leading to HagF accumulation and binding to HrcA. Structural modeling and pulldown assays indicate that HagF blocks HrcA dimerization, impairing DNA binding. This relieves repression of the hrcA-grpE-dnaK operon and promotes secondary differentiation in the developmental cycle, enabling infectious elementary bodies to form under heat stress. Our findings reveal dual feedback regulation that tunes chaperone gene expression and illustrate how transcriptional repression can be modulated in a minimal-genome pathogen.

microbiology↗

bioRxiv2025

Genetically Programmable Adhesive Protein Hydrogels for Sealing Perforating Corneal Trauma

The cornea, situated at the forefront of the eyeball, is often subjected to varying degrees of mechanical laceration injuries due to various traumatic incidents. Timely and precise suturing of corneal wounds to prevent the leakage of intraocular contents is a significant clinical challenge. Although some studies have attempted to use hydrogels to accurately cover corneal injuries, most of these hydrogels are only suitable for adhering to focal stromal defects that do not involve the corneal stroma. Here, a fully protein-based hydrogel, based on SpyTag-SpyCatcher chemistry, was investigated for repairing corneal perforating injury models in rats and rabbits. The hydrogel formation relies on covalent bonding between SpyTag (A) and SpyCatcher (B) under physiologically mild conditions, eliminating requirements for organic solvents, elevated temperatures, or photoactivation Notably, integration of recombinant mussel foot protein 3 (Mfp3) endowed the hydrogels with exceptional water-resistant adhesiveness, while maintaining their original mechanical properties and biocompatibility. This study demonstrates the great potential of Mfp hydrogels in the timely and precise repair of corneal perforating injuries in complex physicochemical environments. TeaserBioinspired protein hydrogel rapidly seals corneal perforations, minimizing scarring and inflammation without sutures in animal models.

bioengineering↗

bioRxiv2025

Insights from modern & historical genomes of Neorhizobium vitis, a new pathogen causing neoplastic growths on grapevine.

Grapevine crown gall is a globally significant disease typically attributed to Agrobacterium species carrying tumour-inducing (Ti) plasmids. In this study, we identify Neorhizobium vitis as a previously unrecognised crown gall-associated pathogen. Four modern isolates from symptomatic grapevines in South Australia and four historical strains collected in New South Wales in 1989 induced weak but consistent neoplastic growths on sunflower hypocotyls and carrot discs. Long-read genome sequencing revealed that all strains lack canonical Ti plasmids and the oncogenes iaaM and ipt, which are essential for classical auxin- and cytokinin-mediated tumorigenesis. Phylogenomic analyses reassigned all strains to the Neorhizobium clade, correcting the original classification of historical isolates as Agrobacterium vitis. The persistence of tumorigenic activity despite the absence of known virulence genes suggests the involvement of alternative, yet uncharacterized pathogenic mechanisms. These findings revise the non-pathogenic status of Neorhizobium, establish N. vitis as a novel tumorigenic lineage, and underscore the value of re-evaluating legacy isolates with modern genomic tools.

plant biology↗

bioRxiv2025

Rapid adaptation and extinction across climates in synchronized outdoor evolution experiments of Arabidopsis thaliana

Climate change is threatening species with extinction, and rapid evolutionary adaptation may be their only option for population rescue over short ecological timescales. However, direct observations of rapid genetic adaptation and population dynamics across climates are rare across species. To fill this gap, we conducted a replicated, globally synchronized evolution experiment with the plant Arabidopsis thaliana for 5 years in over 30 outdoor experimental gardens with distinct climates across Europe, the Levant, and North America. We performed whole-genome sequencing on [~]70,000 surviving reproductive individuals and directly observed rapid and repeatable adaptation across climates. Allele frequency changes over time were parallel in experimental evolution replicates within the same climates, while they diverged across contrasting climates--with some allele frequency shifts best explained by strong selection between -46% to +60%. Screening the genome for signals of rapid climate adaptation identified a polygenic architecture with both known and novel adaptive genetic variants connected to important ecological phenotypes including environmental stress responses, CAM5 and HEAT SHOCK FACTORs, and germination and spring flowering timing, CYTOCHROME P450s and TSF. We found evolutionary adaptation trends were often predictable, but variable across environments. In warm climates, high evolutionary predictability was associated with population survival up to 5 years, while erratic trends were an early warning for population extinction. Together, these results show rapid climate adaptation may be possible, but understanding its limits across species will be key for biodiversity forecasting.

evolutionary biology↗

bioRxiv2025

Alternating 2D and 3D Culture Reduces Cell Size and Extends the Lifespan of Placenta-Derived MSCs

Mesenchymal stem cells (MSCs) offer significant therapeutic potential, but traditional 2D culture on rigid substrates results in progressive cell enlargement and senescence, reducing proliferative capacity and therapeutic potency. This poses a major challenge for widespread clinical application. We explored a novel strategy for placenta-derived MSCs combining 2D expansion with 3D spheroid culture to address these limitations. Our research shows that culturing MSCs as 3D spheroids significantly reduces individual cell size and size distribution compared to 2D culture. Spheroid formation is feasible in chemically defined media with minimal cell death, and is enhanced by extracellular matrix protein supplementation. Although MSCs do not proliferate in 3D suspension, an alternating 2D/3D culture protocol, transitioning cells between 2D flasks and 3D spheroids after each passage, effectively slows MSC enlargement and senescence over long periods. This alternating method also preserves MSC immunomodulatory function, unlike continuous 2D culture which leads to its loss. For scalability, we developed an RGD-functionalized alginate hydrogel tube (AlgTube) system that mimics this alternating environment, supporting both adherent growth and chemically triggered spheroid formation. This alternating 2D/3D culture strategy and the scalable AlgTube platform provide a foundation for developing next-generation MSC manufacturing technologies to meet future clinical demands.

bioengineering↗

bioRxiv2025

In vivo CRISPR screening identifies NF1/RASA1/TP53 co-mutations and downstream MEK signaling as a common key mechanism of sinonasal tumorigenesis

Genomic alterations driving tumorigenesis in sinonasal malignancies remain largely unexplored. Here, we perform an in vivo loss-of-function screen using a pooled custom single-guide library delivered to the sinonasal cavity by adeno-associated virus vector to identify cancer driver genes across diverse sinonasal malignancies. This approach yielded sinonasal malignancies with diverse histologies, including sinonasal squamous cell carcinoma, adenocarcinoma, poorly differentiated sinonasal carcinoma, and sinonasal neuroendocrine tumors characteristic of olfactory neuroblastoma. Surprisingly, rather than observing distinct sgRNA profiles across sinonasal tumor subtypes, common recurrent mutations were identified in Nf1 (79%), Rasa1 (74%), and Trp53 (68%) across malignancies with distinct histologies. Utilizing an orthogonal approach, we confirmed that Nf1/Trp53 were required for sinonasal tumorigenesis. Given that loss-of-function in NF1 and RASA1 may lead to increased Ras activity and downstream MEK signaling, we tested small molecule targeting of the RAS-MAPK pathway in sinonasal malignancies. Indeed, both tumor cell lines derived from our loss-of-function approach as well as from human sinonasal malignancies displayed significant sensitivity to MEK inhibition in standard in vitro culture and organoid models. These findings demonstrate that loss of NF1 and RASA1-mediated Ras-GAP activity leads to Ras activation and downstream MEK signaling which is a potential common target throughout major sinonasal tumor subtypes.

cancer biology↗

bioRxiv2025

A Reductive Uric Acid Degradation Pathway in Anaerobic Bacteria

Uric acid is a key intermediate in purine degradation across diverse organisms, while its accumulation in humans leads to inflammation and gout disease. Aerobic organisms degrade uric acid via a well-known "oxidative pathway" involving dearomatization of the purine core catalyzed by uric acid oxidases or dehydrogenases. The ability to degrade uric acid is also widespread in anaerobic bacteria, including gut bacteria, although the mechanisms are incompletely understood. Here, we report the biochemical characterization of a recently identified uric acid degradation gene cluster from Escherichia coli, and show that it encodes a "reductive pathway" for uric acid degradation. In this pathway, uric acid is first reduced to isoxanthine (2,8-dioxopurine) by a xanthine dehydrogenase homolog (XdhD), followed by dearomatization of the purine core catalyzed by a flavin-dependent reductase (YgfK). Stepwise cleavage of the pyrimidine and imidazole rings forms 2,3-diureidopropionate, and stepwise cleavage of the 2- and 3-ureido groups then forms 2,3-diaminopropionate, which is cleaved by a pyridoxal 5-phosphate-dependent lyase (YgeX) to pyruvate and ammonia. Detection of isoxanthine in clinical serum samples suggests it is a physiologically relevant circulating metabolite. A probiotic E coli Nissle strain was engineered for constitutive overexpression of the gene cluster, and oral administration in a uricase-knockout hyperuricemic mouse model significantly reduced the serum uric acid level and alleviated associated kidney injury, suggesting a potential route towards uricolytic probiotics.

biochemistry↗

bioRxiv2025

Elucidating the Mechanism by Which HIV-1 Nucleocapsid Mutations Confer Resistance to Integrase Strand Transfer Inhibitors

Persons with HIV (PWH) receiving integrase (IN) strand transfer inhibitors (INSTIs) have been reported to experience virologic failure (VF) in the absence of resistance mutations in IN. We previously reported that mutations in the viral nucleocapsid (NC) are selected in the presence of the INSTI dolutegravir (DTG) and confer levels of INSTI resistance comparable to those conferred by clinically relevant IN mutations. Here we show that these NC mutations accelerate the kinetics of viral DNA integration. The shortened time frame between the completion of reverse transcription and integration correlates with reduced sensitivity to DTG, suggesting that NC mutations limit the window of opportunity for INSTIs to block viral DNA integration. We find that in primary peripheral blood mononuclear cells, HIV-1 acquires mutations in the viral envelope glycoprotein, NC, and occasionally IN during selection for INSTI resistance. Notably, the selected NC and IN mutations act in concert to reduce the susceptibility of the virus to INSTIs. These results provide insights into the mechanism by which HIV-1 escapes the inhibitory activity of INSTIs and underscore the importance of genotypic analysis outside IN in PWH experiencing VF on INSTI-containing drug regimens.

microbiology↗

bioRxiv2025

Pangenome analysis provides insights into the evolution of mango (Mangifera spp.)

Mango (Mangifera spp.) is a major tropical fruit crop of global economic importance, but advanced genomic resources are needed to support its breeding, conservation, and sustainable cultivation. In this study, a mango pangenome was constructed using high-quality, telomere-to-telomere genomes of four cultivated mango (M. indica) accessions representing distinct genetic origins, and one wild relative, M. odorata. Genome-wide analyses revealed a significant reduction in heterozygosity among elite commercial cultivars, indicating a genetic bottleneck resulting from long-term artificial selection. Core genes were enriched in fundamental biological pathways, including primary metabolism, photosynthesis, transcriptional regulation, and cellular signaling. Variable genes were primarily associated with secondary metabolite biosynthesis, reflecting local environmental adaptations. Pangenome and comparative genomic analyses identified structural variations among accessions. Additionally, 10,482 high-confidence single nucleotide polymorphisms (SNPs) were detected and utilized for population genomic analysis of 197 mango accessions, delineating four genetically distinct groups. Southeast Asian accessions exhibited unique genetic diversity and divergence from Caribbean, Indian, and U.S. groups. Comparative analyses revealed differentiation in specialized metabolic pathways, particularly alkaloid and diterpenoid biosynthesis, likely reflecting adaptive responses to the complex ecological interactions and high biodiversity of Southeast Asian tropical rainforests. Genomic analysis of the MiRWP gene, associated with apomixis, provided comprehensive insights into this important mango trait, demonstrating the potential of the pangenome for future mango breeding efforts. The genomic resources generated in this study establish a critical foundation for advancing mango genetic research, facilitating trait improvement, and informing conservation strategies.

genomics↗

bioRxiv2025

Flexible fitting to infer atomistic-precision models of large-amplitude conformational dynamics in biomolecules from high-speed atomic force microscopy imaging

High-speed atomic force microscopy (HS-AFM) experiments allow direct observation of biomolecular dynamics at the single-molecule level, acquiring a large amount of topographic imaging data that visualizes changes of the molecular surface during functional activity over an extended period of time. Since images have no atomistic resolution, a major challenge has been to develop post-experimental computational methods to infer atomistic information from measurements. The recently developed NMFF-AFM flexible fitting method provides a computationally efficient approach promising to infer atomistic-precision models of conformational dynamics from resolution-limited AFM imaging data. We report the software integration of this method into the well-established BioAFMviewer platform and demonstrate first applications to experimental HS-AFM imaging data. To facilitate applications, we developed a direct workflow from raw experimental AFM data to visualization and analysis of fitting results. The presented applications to experimental data of a single protein domain, a protein complex, and a megadalton size protein filament demonstrate versatility of NMFF-AFM modelling to reproduce large-amplitude conformational motions of biomolecular dynamics from HS-AFM imaging. As a first step towards automated large-scale analysis of AFM imaging data, we furthermore demonstrate reconstruction of an atomistic molecular movie of protein dynamics, involving large-amplitude conformational transitions, from a measured HS-AFM movie sequence. Implementation of flexible fitting within the standalone user-friendly interactive BioAFMviewer software opens the opportunity for broad range applications to facilitate the understanding of resolution-limited HS-AFM measurements.

biophysics↗

bioRxiv2025

Advanced Cardiac Organoid Model for Studying Doxorubicin-Induced Cardiotoxicity

Cardiac organoids provide an in vitro platform for studying heart disease mechanisms and drug responses. However, a major limitation is the immaturity of cardiomyocytes, restricting their ability to mimic adult cardiac physiology. Additionally, the inadequacy of commonly used extracellular matrices (ECM), which fail to replicate the biochemical and mechanical properties of natural heart tissue, poses significant challenges. Consequently, structural integrity in cardiac organoids is impaired. Moreover, scalability remains an obstacle, as conventional ECM substitutes hinder mass production of organoids for high-throughput toxicology screening. To overcome these challenges, we developed an advanced model promoting fibroblast-driven ECM self-secretion, enabling physiologically relevant tissue architecture and function. Using the ECM-free, mature cardiomyocyte-integrated organoid model, we investigated the cardiotoxicity of doxorubicin, a widely used chemotherapeutic agent known to impair cardiac function. Cardiomyocytes derived from induced pluripotent stem cells were characterized for maturity by immunostaining for cTNT and MYL2 alongside gene expression analysis. Organoids treated with doxorubicin showed reduced size and increased collagen deposition. These structural changes correlated with functional impairments, including decreased contraction rate and disrupted synchronous beating. In 2D culture, exposure to doxorubicin induced fibroblast activation, promoted endothelial-to-mesenchymal transition in endothelial cells, and triggered cytotoxic effects in cardiomyocytes. This study highlights the importance of ECM remodeling in advancing cardiac organoid models and demonstrates its potential for more accurate cardiotoxicity assessment. Addressing these limitations enhances the physiological relevance of cardiac organoid systems for drug safety assessment and cardiac disease modeling.

pharmacology and toxicology↗

bioRxiv2025

Metabolic modulation of intratumoral cholesterol with gut microbiota for the treatment of colorectal cancer

Excess cholesterol is positively correlated with colorectal cancer (CRC). Current therapeutic strategies for modulating cholesterol levels in CRC are limited and often come with complications. Here, we demonstrated that microbiome shunting of intestinal cholesterol to anticancer metabolites is a safe and applicable therapeutic approach for CRC. By screening major microbial metabolic products of cholesterol, we found that 4-cholesten-3-one (4-C-3) was selectively depleted in fecal samples and tumor tissues of patients with CRC. 4-C-3 exhibits strong antitumor effects on human CRC cell lines, patient-derived organoids, and patient-derived xenograft (PDX) models. Mechanistically, 4-C-3 suppresses CRC tumorigenesis by dually targeting the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene homologue (KRAS). 4-C-3 directly binds to EGFR, blocking its signal transduction by inhibiting the binding of EGFR ligands. Additionally, 4-C-3 inhibits oncogenic KRAS variants, such as KRASG12D, by suppressing nucleotide exchange activity and effector engagement. By targeting both EGFR and KRAS, 4-C-3 reduces primary resistance to anti-EGFR therapies caused by KRAS mutations in CRC. As a proof-of-concept study, we showed that delivery of 4-C-3 by Oscillibacter ruminantium, a 4-C-3- producing commensal bacterium that is reduced in CRC patients, or a nonpathogenic Escherichia coli strain engineered to specifically convert intestinal cholesterol into 4-C-3, removed intratumoral cholesterol and led to rapid tumor regression in multiple models of CRC. These results suggest that microbial therapies for restoring intestinal cholesterol homeostasis represent a new therapeutic avenue for CRC.

cancer biology↗

bioRxiv2025

RPSLearner: A novel approach based on random projection and deep stacking learning for categorizing NSCLC

BackgroundLung cancer is the leading cause of cancer death, and non-small cell lung cancer (NSCLC) comprises the largest subtype with most cases. Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are two NSCLC subtypes that pose challenges for accurate diagnosis using conventional methods. Existing methods are histological examination and imaging which lacks definitive histologic features and requires intense time. MethodsTo address these concerns, we propose RPSLearner, which combines Random Projection (RP) for dimensionality reduction and stacking ensemble learning to accurately predict lung cancer subtypes. Specifically, multiple independent RP matrices were first generated to project the high-dimensional RNA-seq data into lower-dimensional space, whose features were subsequently concatenated. After that, we fed the fused features into a stack of diverse base classifiers and integrated the predictions from base models via a deep linear layer network. ResultsBenchmarking tests on 1,333 NSCLC patients demonstrated that RPSLearner outperformed state-of-the-art approaches for lung cancer subtype classification. Specifically, RPSLearner efficiently preserved sample-to-sample distances even after significant dimension reduction, and the meta-model in RPSLearner yielded consistently higher accuracy, F1 and AUC scores than individual base models and state-of-the-art approaches for lung cancer subtyping. Besides, the feature fusion method applied in RPSLearner shown better performance than conventional scores ensemble methods. ConclusionWe developed a novel stacking learning method called RPSLearner which combines RP and stacking learning, enabling efficient and accurate identification of NSCLC subtypes. RPSLearner is a promising lung cancer subtyping model for downstream lung cancer clinical diagnosis and personalized treatment, and the framework holds the potentiality to be extended to subtyping of other types of cancer.

bioinformatics↗

bioRxiv2025

Digital Twin Brain Predicts rTMS Effects on Brain State Dynamics in Chronic Tinnitus

Predicting repetitive transcranial magnetic stimulation (rTMS) effects on whole-brain dynamics in clinical populations is crucial for developing personalized therapies and advancing precision medicine in brain disorders. This study provides the first proof-of-concept demonstrating that the Digital Twin Brain (DTB) can forecast rTMS effects on brain state dynamics in individuals with brain disorders (chronic tinnitus). First, we identified two aberrant brain states that predominantly overlapped with the somatomotor and default mode networks, respectively. Subsequently, we developed DTB for patients and derived regional responses for each brain region, revealing distinct roles of the parieto-occipital and frontal regions. Mechanistically, we examined the biological plausibility using tinnitus-specific risk genes and investigated the multi-scale neurobiological relevance. Clinically, we found that DTB can predict rTMS effects in an independent, longitudinal dataset (all r > 0.78). Particularly, the predictive capacity exhibits a state-specific nature. Overall, this work proposes a novel DTB-based framework for predicting rTMS effects in clinical populations and provides the first empirical evidence supporting its clinical utility. This approach may be generalizable to other brain disorders and neuromodulation techniques, promoting broader advancements in brain health.

neuroscience↗

bioRxiv2025

Small-molecule perturbation profiling reveals a mechanistic link between STING signaling and lipid metabolism in macrophages and dendritic cells

The DNA sensor cGAS and the signaling adaptor STING play a key role in the innate immune response to microbial and endogenous DNA in the cytoplasm. The cGAS-STING signaling pathway has evolved to promote immune defense and organismal fitness, yet its dysregulation can lead to chronic inflammation, autoimmunity, and neurodegeneration. Upon sensing double- stranded DNA, cGAS produces a cyclic dinucleotide second messenger that binds to STING in the endoplasmic reticulum. Ligand-bound STING translocates to the Golgi and activates the protein kinase TBK1 and the transcription factor IRF3, resulting in IRF3-driven interferon (IFN) gene transcription. This cascade of molecular events is mechanistically linked to intracellular lipid membrane dynamics and protein lipidation. To explore whether STING signaling is controlled by the availability and metabolic flux of cellular lipids, we screened small-molecule compounds targeting lipid metabolic pathways for their influence on STING agonist-responsive IFN induction. These screens identified inhibitors of the fatty acid synthase FAS and lipases as potent suppressors of STING signaling. An inhibitor of the cholesterol-esterifying enzyme SOAT1 enhanced STING-dependent IFN induction in mouse cells while attenuating it in human cells. Our findings reveal a connection between STING signaling and lipid metabolism and opportunities for expanding the toolbox for treating clinical conditions that arise from aberrant STING activity.

immunology↗