Biology subjects

Gao, Y.

Publications and source records attributed to Gao, Y..

At least 217 records · Page 12Linked to original sources

bioRxiv2024

Changes in urinary proteome of rats before and after noise exposure

This study established an acute noise exposure model in which 10 rats were exposed to a 119 dB noise environment for 9 hours daily over a period of 7 consecutive days. Proteomic analysis was performed on urine samples collected from the rats. A comparison of protein expression profiles before and after noise exposure identified 219 differentially expressed proteins, 30 of which are known to be associated with hearing loss. Notably, Gelsolin plays a critical role in regulating the growth and stability of the mechanosensory hair bundles in mammalian cochlear outer hair cells. Deficiency of Lysosome-associated membrane glycoprotein 1 has been reported to cause vacuolization and structural alterations in lysosomal membrane proteins in cochlear marginal cells, leading to hearing loss in mice. Similarly, SLIT and NTRK-like family member 6 deficiency is linked to delayed synaptogenesis and auditory dysfunction in mice. These findings indicate that high-decibel noise exposure induces significant changes in urinary protein expression, many of which are associated with auditory damage as previously reported.

molecular biology↗

bioRxiv2024

Optimization of metagenomic detection method for human breast milk microbiome

This study aims to optimize the metagenomic detection methodology of the human breast milk microbiome and analyze its composition. Twenty-two milk samples were collected from the left and right sides of lactating women during re-examinations at the Haidian Maternal and Child Health Hospital, Beijing. Microbial cell wall disruption parameters were optimized, and a nucleic acid extraction method was developed to construct a microbial DNA/RNA library. Metagenomic next-generation sequencing (mNGS) sequencing was performed, and microbial composition was analyzed using the k- mer Lowest Common Ancestor (LCA) method with a self-generated database constructed via Kraken2 software. Data showed Q20 > 95% and Q30 > 90%, with an average total data volume of 5,567 {+/-} 376.6 Mb and non-human sequence data of 445.1 {+/-} 63.75 Mb, significantly enhancing sequencing efficiency. The microbiome included 21 phyla, 234 genera, and 487 species, with Firmicutes and Proteobacteria as dominant phyla. Predominant genera included Staphylococcus and Streptococcus, and major species were Staphylococcus aureus, Streptococcus bradystis, and Staphylococcus epidermidis. Species levels exhibited significant variations among different individuals. Microbial profiles of left- and right-sided milk samples were consistent at the phylum, genus, and species levels. In addition to common bacteria, diverse viral, eukaryotic, and archaeal sequences were detected. This study refined metagenomic detection methods for human breast milk microbiota. Specific flora colonization occurred in healthy breast milk, with the left and right sides exhibiting both correlations and distinct flora environments. ImportanceBreast milk is a vital source of nutrition and immunity for infants, with its microbial composition playing a critical role in shaping the neonatal gut microbiome and supporting early development. However, technical challenges in detecting microorganisms in milks complex, lipid-rich environment have limited understanding of the diversity and function of these microbial communities. This study developed an optimized metagenomic sequencing method to analyze the microbial communities in breast milk from healthy mothers, identifying a wide array of bacteria, viruses, eukaryotes, and archaea. Key bacterial genera such as Staphylococcus and Streptococcus were predominant, with specific flora exhibiting inter-individual variability. Additionally, the study revealed distinct yet correlated microbial environments in the milk from the left and right breasts. These findings advance the understanding of breast milk microbiota and provide a foundation for exploring its implications for maternal and infant health.

microbiology↗

bioRxiv2024

The evolution of irreversible cell differentiation under cell death effect

Cell differentiation is an important characteristic of multicellular organisms which produce new-typed cells to engage in diverse life functions. Irreversible differentiation, as an important differentiation, describes cells differentiated by determined trajectories to form specialized cell types. It has been found that differentiated cell types often show different death rates. Yet, it is still unclear what role cell death plays in shaping the formation of irreversible cell differentiation. Here, we establish a theoretical model to investigate the impact of cell death on the evolution of irreversible cell differentiation in multicellular organisms. Irreversible differentiation refers to the loss of a cell types differentiation potential, and it is constructed by the sequences of differentiation probabilities of a cell type across cell divisions. We show that irreversible differentiation is more likely to occur when cell death rates between cell types are linear. Meanwhile, differences in death rates between cell types affect the emergence conditions of irreversible differentiation, whereas no significant impacts on that from equal cell death rates. Additionally, we found that cell death impacts the cell number and cell composition of a mature organism. These findings provide insights into understanding the role of cell death in the formation of cells irreversible differentiation.

evolutionary biology↗

bioRxiv2024

Cavin1 binding nanobodies reveal structural flexibility and regulated interactions of the N-terminal coiled-coil domain

Caveolae are abundant plasma membrane structures that regulate signalling, membrane homeostasis, and mechanoprotection. Their formation is driven by caveolins and cavins and their coordinated interactions with lipids. We have developed nanobodies against the trimeric HR1 coiled-coil domain of Cavin1. We identify specific nanobodies that do not perturb Cavin1 membrane binding and localise to caveolae when expressed in cells. The crystal structure of a nanobody HR1 complex reveals a symmetric 3:3 architecture as validated by mutagenesis. In this structure, the C-terminal half of the HR1 domain is disordered suggesting the nanobody has stabilised an open conformation previously identified as important for membrane interactions. A phosphomimic mutation in a Thr-Ser pair proximal to this region reveals selective regulation of Cavin2/Cavin3 association. These studies provide new insights into Cavin domains required for assembly of multiprotein caveolar assemblies and describe new nanobody tools for structural and functional studies of caveolae. SUMMARY STATEMENTNanobodies are reported that can label the Cavin1 protein and caveola structures in cells.

cell biology↗

bioRxiv2024

Changes in urinary proteins of unaffected individuals with a family history of frontotemporal dementia

Frontotemporal dementia (FTD) is a common type of neurodegenerative dementia and the primary cause of dementia in individuals under 65 years old. Current studies typically consider family members carrying relevant gene mutations as genetic risk populations, while individuals with a family history of FTD but without known mutations are sometimes included as healthy controls in research, with their potential pathophysiological changes not being fully addressed. This study performed urinary proteomics analysis on individuals with a family history of FTD but without known mutations and healthy controls to investigate whether there are differential urinary proteins and biological pathways in FTD family members who remain undiagnosed with FTD or common mutations under existing diagnostic methods. The results showed 428 significantly differentially expressed proteins (P<0.01; FC[≥]2.0 or [≤]0.5) between the two groups, among which multiple proteins have been reported to be involved in FTD or nervous system functions, particularly Progranulin (PGRN), recognized as an effective biomarker for FTD. The 146 enriched biological pathways (P<0.01) of differentially expressed proteins included multiple pathways directly related to neurons and the nervous system, such as glial cells. The differences in urinary proteins between individuals with a family history of FTD without known mutations and healthy controls indicate that urinary proteomics holds unique potential in exploring unknown pathogenic factors of FTD, providing a new perspective for deepening disease understanding and optimizing prevention and treatment strategies.

biochemistry↗

bioRxiv2024

Urinary Proteome Characterization of Stroke-Prone Spontaneously Hypertensive Rats

BackgroundHypertension is a multifactorial, complex disease related to genetic and environmental factors and has become the most serious public health problem. This study aimed to explore the changes of hypertension based on urinary proteome. MethodsThe stroke-prone spontaneously hypertensive rats (SHRSPs) model was used to examined urinary proteome changes during hypertension development. Urine proteome at months 1, 4, 8, 10, 12, and 14 was profiled using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Considered the degree of disease progression may differ, each rat was compared before and after hypertension developed to screen for differential proteins. ResultsThe differential proteins in each rat can be enriched into some important biological processes and pathways associated with hypertension, such as regulation of systemic arterial blood pressure by renin-angiotensin, renin-angiotensin signaling, response to glucocorticoid and glucocorticoid receptor signaling, calcium transport I, aldosterone adipocyte signaling pathway, apelin adipocyte signaling pathway and oxidative stress response. The biological processes and pathways enriched at the same time point in the progression of hypertension differed significantly among different rat individuals. ConclusionsThis study showed that the changes of hypertension can be reflected in urine proteins. The urine proteomics has the potential to be used to study the mechanisms of hypertension, discovery new drug targets, and provide personalized antihypertensive treatment strategies.

molecular biology↗

bioRxiv2024

Quantifying Key Parameters of Environmental Transmission and Age-Specific Susceptibility for Mycobacterium avium subspecies paratuberculosis (MAP)

Paratuberculosis is a chronic disease in cows and other ruminants, caused by Mycobacterium avium subspecies paratuberculosis (MAP). We developed an age-specific dose-response model and two environmental transmission models (Model A and B) to estimate key parameters based on previously published experiments for MAP in dairy cows. In the dose-response model, the age-specific susceptibility decrease rate parameter was estimated at 0.0629{square}wk-1, suggesting that a previously used parameter of 0.1{square}wk-1 may have underestimated the infection risks with increasing age. For the transmission models, Model A represents infectivity differences among transiently infectious (I tr), low shedding (Il), high shedding (Ih) individuals by varying transmission rate parameters ([Formula]) with a standardized constant shedding rate parameter of 2.10{square}wk-1, whereas Model B captures these differences by varying shedding rate parameters ([Formula]) with one transmission rate parameter of 0.0299{square}wk-1. Although both models have identical best estimates and AIC values, Model B exhibited wider 95% confidence intervals (95% CI). In both models, the MAP decay rate parameter was estimated at 0.150{square}wk-1, corresponding to a half-life of MAP of approximately 4.61 weeks, which aligns well with previously published values. To better interpret these parameters and understand how different biological assumptions about infectivity influence predicted exposure, we performed scenario analyses examining environmental contamination over time, along with infection probabilities over exposure timing, exposure duration, and the recipients age at exposure. All 95% CI are provided in the main text.

systems biology↗

bioRxiv2024

SARS-CoV-2 JN.1 reveals attenuated pathogenicity and airborne transmission

JN.1 is a subvariant of SARS-CoV-2 Omicron BA.2.86 lineage that was predominant worldwide in early 2024, of which the in vivo characteristics are largely unknown. Our results demonstrated that the replication of JN.1 was more efficient than that of the parental BA.2 in Vero cells, which demonstrated low dependence on TMPRSS2. Compared to Omicron variants BA.2 and XBB EG.5.1, JN.1 replicated less efficiently in hACE2 mouse lungs of which the intranasal infection was not lethal to hACE2 mice and led to weaker immune dysregulation. On a more sensitive, aged hACE2 hamster model, JN.1 led to a lower mortality rate and no weight loss, corresponding well with the low preference in lower airways. Lower amounts of viruses in nasal washes and exhaled aerosols were detected in JN.1 infected wildtype hamsters than EG.5.1, and consistently, JN.1 also exhibited largely reduced airborne transmission. Moreover, the poor transmission was also clearly demonstrated even by using hamsters expressing hACE2 receptors in the whole airway. Thus both pathogenicity and airborne transmission of JN.1 were demonstrated to be largely attenuated. ImportanceCurrently, SARS-CoV-2 JN.1 and its subvariants have fully replaced the previous dominant XBB lineage around the world. Although the strong immune evasion of JN.1 has been distinctly revealed, its in vivo pathogenicity and airborne transmission remained unclear. By using multiple Omicron-sensitive rodent models, our findings demonstrated that the pathogenicity of JN.1 was largely attenuated. The weak airborne transmission of JN.1 in wildtype and hACE2 hamsters was consistent with the reported relative lower transmissibility in human, and the using of airway-expressing hACE2 hamsters ulteriorly eliminates the potential bias in viral transmission studies induced by receptor divergence between animal models and human. These findings uncover the in vivo virological characteristics of SARS-CoV-2 novel lineage, providing insights for communicable disease control.

microbiology↗

bioRxiv2024

Substrate utilization and cross-feeding synergistically determine microbiome resistance to pathogen invasion

Understanding how microbiomes resist pathogen invasion remains a key challenge in natural ecosystems. Here, we combined genome-scale metabolic models with synthetic community experiments to unravel the mechanisms driving pathogen suppression. We developed curated genome-scale models for each strain, incorporating 48 common resource utilization profiles to fully capture their metabolic capacities. Trophic interactions inferred from models accurately predicted pathogen invasion outcomes, achieving an F1 score of 96% across 620 invasion tests involving diverse microbial communities and nutrient environments. Importantly, considering both substrate and metabolite features provided a more holistic understanding of pathogen suppression. In particular, cross-feeding metabolites within the native community emerged as crucial yet often overlooked predictors of community resistance, disproportionally favoring native species over invaders. This study lays the foundation for designing disease-resistant microbiomes, with broad implications for mitigating pathogen exposure in diverse environments.

ecology↗

bioRxiv2024

Spatiotemporal transcriptomic analyses reveal molecular gradient patterning during development and the tonotopic organization along cochlear axis

While cochlear tonotopic organization is essential for sound frequency discrimination, the spatiotemporal molecular programs shaping this architecture remain unresolved. Here, we integrate spatiotemporal transcriptomics (E17.5-P8-adult) with single-cell RNA-seq to construct a single-cell-resolution atlas of mouse cochlear development. As marked by differential gradient expression genes, distinct spatially and molecularly defined hair cell (HC) subtypes along the apical-basal axis were identified: such as the apical Myo7a+++/Calb1+++ outer hair cell (OHC) subtype, the basal Myo7a+/Calb1{square} OHC subtype, the apical vGlut3+++/Calb2+ inner hair cell (IHC) subtype, and the basal vGlut3+/Calb2+++ IHC subtype. In addition, the spatial data also demonstrate the developmental reversal of Myo7a/Calb2Nefh gradient patterns in HCs and spiral ganglion neurons (SGNs), revealing dynamic plasticity and complexity in frequency coding during development. Spatial analyses further demonstrate regional heterogeneity in cell communication intensity between HCs and SGNs, and also reveal core signaling hubs coordinating tonotopic organization, such as Fgf10-Fgfr2 pathway in the basal region and Ptn-Sdc pathway in the apical region HC or SGNs at P8 stage. Our study provides an open-access spatial database and reveals the morphological and molecular foundations underlying cochlear tonotopic organization, linking molecular and developmental mechanisms to auditory pathophysiology.

developmental biology↗

bioRxiv2024

Dietary control of peripheral adipose storage capacity through membrane lipid remodelling

Complex genetic and dietary cues contribute to the development of obesity, but how these are integrated on a molecular level is incompletely understood. Here, we show that PPAR{gamma} supports hypertrophic expansion of adipose tissue via transcriptional control of LPCAT3, a membrane-bound O-acyltransferase that enriches diet-derived omega-6 (n-6) polyunsaturated fatty acids (PUFAs) in the phospholipidome. In high-fat diet-fed mice, lowering membrane n-6 PUFA levels by adipocyte-specific Lpcat3 knockout (Lpcat3AKO) or by dietary lipid manipulation leads to dysfunctional triglyceride (TG) storage, ectopic fat deposition and insulin resistance. Aberrant lipolysis of stored TGs in Lpcat3AKO adipose tissues instigates a non-canonical adaptive response that engages a futile lipid cycle to increase energy expenditure and limit further body weight gain. Mechanistically, we find that adipocyte LPCAT3 activity promotes TG storage by selectively enriching n-6 arachidonoyl-phosphatidylethanolamine at the ER-lipid droplet interface, which in turn favours the budding of large droplets that exhibit greater resistance to ATGL-dependent hydrolysis. Thus, our study highlights the PPAR{gamma}-LPCAT3 pathway as a molecular link between dietary n-6 PUFA intake, adipose expandability and systemic energy balance.

physiology↗

bioRxiv2024

Anti-PTHrP blockade limits CD8+ T-cell exhaustion in anti-cancer immunotherapy

Cancer is a major global health concern, with immune suppression hindering treatment. Immunotherapy, specifically immune checkpoint blockage on T cells, has revolutionized cancer treatment. T-cell exhaustion is an abnormal activation state that develops when continuous exposure to antigens, like cancer. In this context, recent evidence suggests that parathyroid hormone-related protein (PTHrP) plays a previously underappreciated role in fostering an immunosuppressive tumor microenvironment. Further, blocking PTHrP activity reduces primary tumor growth, prevents metastasis, and prolongs survival in mice with various cancers. Here, we confirm that administration of anti-PTHrP monoclonal antibodies can reduce the growth of B16-PDL1 melanoma tumors and that although the therapy did not alter the presence of CD4+ and CD8+ TILs, we noted that all stages of T-cell exhaustion were reduced. Further, the expression of cytolytic proteins PERFORIN and GZMB also increased. By contrast, anti-PTHrP therapy increased the relative presence of pre-pro B cells with a decline in mature B cells in the bone marrow. Overall, our data indicates that anti-PTHrP therapy acts by reducing T-cell exhaustion and by affecting B-cell development. These provide further mechanistic evidence to support the application of anti-PTHrP blockade as an alternate therapeutic approach to boost anti-tumor immunity.

immunology↗

bioRxiv2024

Inclusivity in fNIRS Studies: Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement

Functional Near-Infrared Spectroscopy (fNIRS) holds transformative potential for research and clinical applications in neuroscience due to its non-invasive nature and adaptability to real-world settings. However, despite its promise, fNIRS signal quality is sensitive to individual differences in biophysical factors such as hair and skin characteristics, which can significantly impact the absorption and scattering of near-infrared light. If not properly addressed, these factors risk biasing fNIRS research by disproportionately affecting signal quality across diverse populations. Our results quantify the impact of various hair properties, skin pigmentation as well as head size, sex and age on signal quality, providing quantitative guidance for future hardware advances and methodological standards to help overcome these critical barriers to inclusivity in fNIRS studies. We provide actionable guidelines for fNIRS researchers, including a suggested metadata table and recommendations for cap and optode configurations, hair management techniques, and strategies to optimize data collection across varied participants. This research paves the way for the development of more inclusive fNIRS technologies, fostering broader applicability and improved interpretability of neuroimaging data in diverse populations.

neuroscience↗

bioRxiv2024

The E3 ligase NEDD4L prevents colorectal cancer liver metastasis via degradation of PRMT5 to inhibit the AKT/mTOR signaling pathway

Colorectal cancer is the second most common cause of cancer mortality worldwide, and liver metastasis is the major cause of death in patients with colorectal cancer. Dysfunctional E3 ligase activity has recently been shown to be associated with colorectal cancer. However, the key E3 ligase affecting colorectal cancer liver metastasis remains unknown. Therefore, we used an shRNA library targeting 156 E3 ubiquitin ligases to perform an in vivo loss-of-function screen of a human colorectal cancer cell line in a mouse model of colorectal cancer liver metastasis. The screen revealed that NEDD4L knockdown promoted colorectal cancer liver metastasis. Moreover, overexpression of NEDD4L prevented colorectal cancer liver metastasis. Mechanistic studies revealed that NEDD4L bound to the PPNAY motif in PRMT5 and ubiquitinated PRMT5 to promote its degradation. PRMT5 degradation attenuated the methylation of an arginine residue in AKT1 to inhibit the AKT/mTOR signaling pathway, consequently decreasing colorectal cancer cell proliferation. We are the first to show that PRMT5 is a substrate protein of the E3 ligase NEDD4L and reveals not only the metastasis-inhibiting function of NEDD4L but also a novel mechanism by which NEDD4L suppresses colorectal cancer liver metastasis. These findings may provide a new preventive strategy for liver metastasis.

cancer biology↗

bioRxiv2024

Continuous cell type diversification throughout the embryonic and postnatal mouse visual cortex development

The mammalian cortex is composed of a highly diverse set of cell types and develops through a series of temporally regulated events that build out the cell type and circuit foundation for cortical function. The mechanisms underlying the development of different cell types remain elusive. Single-cell transcriptomics provides the capacity to systematically study cell types across the entire temporal range of cortical development. Here, we present a comprehensive and high-resolution transcriptomic and epigenomic cell type atlas of the developing mouse visual cortex. The atlas was built from a single-cell RNA-sequencing dataset of 568,674 high-quality single-cell transcriptomes and a single-nucleus Multiome dataset of 194,545 high-quality nuclei providing both transcriptomic and chromatin accessibility profiles, densely sampled throughout the embryonic and postnatal developmental stages from E11.5 to P56. We computationally reconstructed a transcriptomic developmental trajectory map of all excitatory, inhibitory, and non-neuronal cell types in the visual cortex, identifying branching points marking the emergence of new cell types at specific developmental ages and defining molecular signatures of cellular diversification. In addition to neurogenesis, gliogenesis and early postmitotic maturation in the embryonic stage which gives rise to all the cell classes and nearly all subclasses, we find that increasingly refined cell types emerge throughout the postnatal differentiation process, including the late emergence of many cell types during the eye-opening stage (P11-P14) and the onset of critical period (P21), suggesting continuous cell type diversification at different stages of cortical development. Throughout development, we find cooperative dynamic changes in gene expression and chromatin accessibility in specific cell types, identifying both chromatin peaks potentially regulating the expression of specific genes and transcription factors potentially regulating specific peaks. Furthermore, a single gene can be regulated by multiple peaks associated with different cell types and/or different developmental stages. Collectively, our study provides the most detailed dynamic molecular map directly associated with individual cell types and specific developmental events that reveals the molecular logic underlying the continuous refinement of cell type identities in the developing visual cortex.

neuroscience↗

bioRxiv2024

Rfx3 controls outer hair cell differentiation, maintenance, and hair bundle formation by regulating the expression of Insm1, Ikzf2, and Triobp genes

The RFX family of transcription factors plays crucial roles in the regulation of ciliogenesis and organ development. Mutations of RFX transcription factors lead to various genetic diseases, including ciliopathies and hearing loss, although the underlying mechanisms remain unclear. This study comprehensively analyzed the expression patterns of RFX family members during different inner ear developmental stages. Rfx3 and Rfx7 were identified as the dominantly expressed members in cochlear hair cells, exhibiting alternative splicing variants and dynamic subcellular localization at different stages. Integration of single-cell transcriptomics, ChIP-seq, and ATAC-seq data indicates that Rfx3 functions as either a transcriptional activator or repressor, binding to numerous genes related to ciliogenesis, hair bundle structures, and planar cell polarity. Rfx3 regulates the spatiotemporal expression of hair bundle gene Triobp in hair cells by binding to and modulating its intronic enhancer. Additionally, Rfx3 binds to hair cell differentiation and fate determination genes Tbx2, Insm1, and Ikzf2. The results demonstrate that Rfx3 and Rfx7 are dominantly expressed in outer hair cells, with their subcellular localization shifting to cytoplasm at later developmental stages. This suggests a previously unknown function of Rfx3 and Rfx7 beyond transcriptional regulation, highlighting their complex roles in hair cell differentiation and maintenance.

developmental biology↗

bioRxiv2024

Building a literature knowledge base towards transparent biomedical AI

As artificial intelligence (AI) continues to advance and scale up in biomedical research, concerns about AIs trustworthiness and transparency have grown. There is a critical need to systematically bring accurate and relevant biomedical knowledge into AI applications for transparency and provenance. Knowledge graphs have emerged as a powerful tool that integrates heterogeneous knowledge by explicitly describing biomedical knowledge as entities and relationships between entities. However, PubMed, the largest and most comprehensive repository of biomedical knowledge, exists primarily as unstructured text and is under utilized for advanced machine learning tasks. To address the challenge, we developed LiteralGraph, a computational framework to extract biomedical terms and relationships from PubMed literature into a unified knowledge graph. Using this framework, we established the Genomic Literature Knowledge Base (GLKB), which consolidates 14,634,427 biomedical relationships between 3,276,336 biomedical terms from over 33 million PubMed abstracts and nine well-established biomedical repositories. The database is coupled with RESTful APIs and a user-friendly web interface that makes it accessible to researchers for various usages. We demonstrated the broad utility of GLKB towards transparent AI in three distinct application scenarios. In the LLM grounding scenario, we developed a Retrieval Augmented Generation (RAG) agent to reduce LLM hallucination in biomedical question answering. In the hypothesis generation scenario, we elucidated the potential functions of RFX6 in type 2 diabetes (T2D) using the vast evidence from PubMed articles. In the machine learning scenario, we utilized GLKB to provide semantic knowledge in predictive tasks and scientific fact-checking.

bioinformatics↗

bioRxiv2024

Unsaturated lipids as key control points for caveola formation and disassembly

Caveolae are specialized plasma membrane domains with a unique lipid composition. Recent work has implicated lipid peroxidation in triggering caveola disassembly, releasing caveolar proteins to regulate the cellular response to oxidative stress. Here we investigated the role of specific lipid species in caveola formation and response to oxidative stress. Systematic screening of lipid enzymes identified ACSL4, a critical enzyme in the synthesis of polyunsaturated fatty acid-containing lipids, and enzymes involved in the biosynthesis of pro-ferroptotic ether lipids, as key regulators of caveola formation. Omega-6 fatty acids promoted efficient caveola formation, while their oxidation or displacement by omega-3 or monounsaturated fatty acids disrupted this process. Moreover, we found that omega-6 fatty acid-containing membrane lipids were required for oxidative stress-induced caveola disassembly. These findings unveil a new model for caveola formation, highlighting specific unsaturated lipids as essential caveolar components and key control points for caveola disassembly in response to an oxidizing environment.

cell biology↗