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Xu, R.

Publications and source records attributed to Xu, R..

At least 73 records · Page 4Linked to original sources

Distinct Bomanins at the Drosophila 55C locus function in resistance and resilience to infections

Host defense against many Gram-positive bacteria and fungal pathogens is mainly provided by the Toll-dependent systemic immune response in Drosophila. While antimicrobial peptides active against these categories of pathogens contribute only modestly to protection, Bomanin peptides are major effectors of the Toll pathway. Remarkably, flies deleted for the 55C locus that contains 10 Bomanin genes are as sensitive as Toll pathway mutant flies to these infections. Yet, the exact functions of single Bomanins in resistance or resilience to infections remain poorly characterized. Here, we have extensively studied the role of these Bomanin genes. BomT1 functions in resistance to Enterococcus faecalis while playing a role in resilience against Metarhizium robertsii infection, like BomS2. BomT1 and BomT2 prevent the dissemination of Candida albicans throughout the host, even though they are not sufficient to confer protection to immunodeficient flies against this pathogen in survival experiments. Furthermore, BomT1 and BomBc1 mutants are sensitive to an Aspergillus fumigatus ribotoxin. We conclude that 55C Bomanins have defined albeit sometimes overlapping roles in the different facets of host defense against infections.

immunology↗

Oncogene Silencing via ecDNA Micronucleation

Extrachromosomal DNA (ecDNA) contributes to cancer genome instability by enabling high-copy oncogene amplification, intratumoural heterogeneity and rapid genetic change. Micronuclei (MN) are frequently observed in chromosomally unstable cancers, yet their origins and relevance in ecDNA-driven tumours remain incompletely understood. Here, we investigate the relationship between ecDNA segregation errors and MN formation. We find that ecDNA frequently localizes to MN and represents a prominent source of MN content in ecDNA-positive cancer cells. Mitotic clustering of oncogene-bearing ecDNAs is associated with asymmetric inheritance and mis-segregation into MN. Transfer of oncogenes from ecDNA into MN is accompanied by reduced transcriptional output. Single-MN sequencing shows that individual MN are enriched for ecDNA to a degree that exceeds expectations from stochastic mis-segregation and that in MN oncogenes originating from multiple distinct ecDNAs coalesce. Using live-cell imaging, we observe that cells inheriting ecDNA-positive MN show limited proliferative capacity and an increased likelihood of cell death. In neuroblastoma patients with MYCN-amplified ecDNA, higher frequencies of ecDNA-positive MN at diagnosis are associated with improved event-free and overall survival. Together, these findings link ecDNA mis-segregation to MN formation and reduced cellular fitness, suggesting that ecDNA-positive MN may reflect a state of impaired oncogenic ecDNA function with potential relevance for clinical outcome.

cancer biology↗

Andrographolide prevents necroptosis by suppressing generation of reactive oxygen species

Andrographolide (Andro), a natural product extracted from the Chinese traditional medicine herb Andrographis paniculata, has been applied for the treatment of diverse inflammatory diseases. However, its effects on necroptosis, a lytic form of cell death implicated in various inflammatory diseases, remain uncharacterized. In the current research, we investigate whether Andro and its derivatives can suppress necroptosis. The results demonstrate that Andro notably inhibits the necroptosis in in vitro cellular models induced by either lipopolysaccharide (LPS) plus IDN-6556 or a combination of TNF-, LCL-161 (Smac mimetic) and IDN-6556. In these cellular models, Andro exhibits inhibitory effects on the phosphorylation of receptor-interacting protein kinase 1 (RIPK1), RIPK3, and mixed lineage kinase domain-like protein (MLKL), as well as on the formation of necrosomes. Specifically, Andro reduces intracellular reactive oxygen species (ROS) and mitochondrial superoxide (mtROS), preserves mitochondrial membrane potential during necroptotic induction, and activates the antioxidant transcription factor nuclear factor E2-related factor 2 (Nrf2). Upon the necroptotic stimulation, some mitochondrial proteins such as Bcl-2 and Bak oligomerize and colocalize with RIPK1, RIPK3, and phosphorylated MLKL (p-MLKL) in necrosomes. However, such a process of necrosome formation can be prevented by Andro. In contrast, derivatives including dehydroandrographolide, neoandrographolide, 14-deoxy-11,12-didehydroandrographolide, and 14-deoxyandrographolide show no anti-necroptotic effects and fail to upregulate Nrf2. Collectively, our findings demonstrate that Andro specifically inhibits the RIPK1/RIPK3/MLKL signaling axis to suppress necroptosis, highlighting its therapeutic potential against necroptosis-related disorders.

pharmacology and toxicology↗

BABA: Naturalistic fMRI and MEG recordings during viewing of a reality TV show

Prior neuroimaging datasets using naturalistic listening paradigms have predominantly focused on single-talker scenarios. While these studies have been invaluable for advancing our understanding of speech and language processing in the brain, they do not capture the complexities of real-world multi-talker environments. Here, we introduce the "Le Petit Prince (LPP) Multi-talker Dataset", a high-quality, naturalistic neuroimaging dataset featuring 40 minutes of electroencephalogram (EEG) and 7T functional magnetic resonance imaging (fMRI) recordings from 26 native Mandarin Chinese speakers as they listened to both single-talker and multi-talker speech streams. Validation analyses conducted on both EEG and fMRI data demonstrate the datasets high quality and robustness. Additionally, the dataset includes detailed transcriptions and prosodic and linguistic annotations of the speech stimuli, enabling fine-grained analyses of neural responses to specific linguistic and acoustic features. The LPP Multi-talker Dataset is well-suited for addressing a wide range of research questions in cognitive neuroscience, including selective attention, auditory stream segregation, and working memory processes in naturalistic listening contexts.

neuroscience↗

Sidero-Mining: Systematic Extraction of Siderophore Biosynthetic Information Using Large Language Models

Siderophores are central mediators of microbial iron acquisition, competition, and ecological adaptation, yet their biosynthetic diversity remains difficult to resolve across species because existing sequence-based BGC comparison is strongly constrained by phylogenetic background. Here we combine large-language-model-assisted literature mining, functional-space comparison, and genome-scale analysis to resolve the global organization of siderophore biosynthesis across bacteria. We first built SideroBank, a manually curated cross-species benchmark of siderophore biosynthetic gene clusters (BGCs), and used it to show that many identical products recur across distant taxa whereas the corresponding BGCs often fail to cluster in sequence space. We then developed BGC Block Aligner, which compares BGCs as ordered systems of functionally meaningful blocks and thereby converts comparison from sequence space to functional space. Applied to 97,432 bacterial genomes, this framework produced the Siderophore Atlas, revealing that siderophore synthesis is a remarkably pervasive trait encoded by over 60% of the analyzed genomes, with certain clusters being the most widely disseminated secondary metabolites across the bacterial domain. This global landscape suggests that the adoption of specific biosynthetic strategies is predominantly driven by ecological lifestyle rather than strict phylogenetic relatedness. Furthermore, a stark macro-evolutionary dichotomy was observed between the continuous structural diversification of NRPS pathways and the standardized, HGT-driven dissemination of NIS systems, linking functional-space genomics to the global ecology and evolution of siderophore biosynthesis..

bioinformatics↗

Early-life infection with Cryptosporidium parvum induces inflammatory responses to dietary antigens

To examine the effect of early-life infection with Cryptosporidium parvum on the development of oral tolerance, we developed a low-dose infection model in neonatal mice. C. parvum infection in neonatal mice results in immunopathology in the colon. IL-1{beta} released during C. parvum infection blocked the formation of colonic goblet cell associated antigen passages, which normally serve as a conduit for antigen uptake and development of peripheral regulatory T cells (pTregs), responsible for long-term oral tolerance. Following infection with C. parvum, adoptively transferred OT-II cells, which respond to ovalbumin (ova), developed reduced frequency of Foxp3+Ror{gamma}t+ cells in mesenteric lymph nodes with an expansion of TH1-like Tregs in the colon. The altered pTreg profile was accompanied by a strong TH1 immune response and robust IgG2c antibody responses to orally administered ova. Our findings suggest that intestinal inflammation and altered pTreg development leads to loss of oral tolerance during early life infection with C. parvum.

microbiology↗

METTL3 Aggravates Intimal Hyperplasia by Facilitating the m6A-YTHDC1-dependent SGK1 Gene Transcription

BackgroundVascular smooth muscle cell (VSMC) migration and proliferation substantially contribute to neointimal hyperplasia related to in-stent restenosis. N6-methyladenosine (m6A) catalyzed by the methyltransferase-like 3 (METTL3)-involved methyltransferase complex is the most abundant RNA epigenetic modification in eukaryotes, but the role of m6A RNA methylation in VSMC migration and proliferation as well as neointima formation remains highly controversial. MethodsPrimary human and rat VSMCs were utilized for in vitro experiments. VSMC-specific METTL3 knockout mice (Mettl3flox/floxMyh11-CreERT2) were generated to explore wire injury in carotid arteries in vivo. Methylated RNA immunoprecipitation sequencing (MeRIP-Seq) was performed to screen for target genes by METTL3-catalyzed m6A RNA methylation. Methylation site mapping, MeRIP-quantitative PCR (MeRIP-qPCR), chromatin immunoprecipitation-qPCR (ChIP-qPCR) and reporter gene assays were applied to explore how METTL3 modulates its target gene expression. ResultsMETTL3 was consistently upregulated in the neointima from mice subjected to carotid wire injury and patients undergoing carotid endarterectomy. VSMC-specific METTL3 deficiency significantly attenuated neointima formation in carotid arteries following wire injury in mice. Accordingly, METTL3 ablation markedly repressed VSMC proliferation both in vitro and in vivo. Mechanistically, METTL3 directly catalyzed m6A methylation on serum/glucocorticoid regulated kinase 1 (SGK1) mRNA and subsequently facilitated its transcription, which relies on the established association between the SGK1 transcript and SGK1 promoter DNA by recruiting the m6A reader YTHDC1. Conversely, SGK1 overexpression abolished METTL3 deficiency-mediated suppression of VSMC proliferation and postinjury neointima formation. ConclusionsMETTL3-catalyzed m6A RNA methylation promoted VSMC proliferation and aggravated postinjury neointima formation by facilitating YTHDC1-dependent SGK1 gene transcription. Targeting the METTL3-YTHDC1-SGK1 axis to modulate VSMC proliferation may be a potential strategy for in-stent restenosis therapy.

molecular biology↗

Functional fingerprinting for the developing brain using deep metric learning: an ABCD study

Brain fingerprinting is a promising approach for characterizing the uniqueness of individual brain functioning using functional magnetic resonance imaging (fMRI) data. Here, we propose a novel deep learning framework, the metric-BoIT, for brain fingerprinting and demonstrate its effectiveness in capturing individual variability among early adolescents undergoing dramatic brain changes. Utilizing resting-state fMRI data from the Adolescent Brain Cognitive Development (ABCD) dataset, we identified brain functional fingerprints that achieved remarkable individual identification accuracy, reaching 97.6% within a single session and maintaining 86.6% accuracy over a four-year developmental period. Annotation analysis revealed that higher-order association regions, particularly those within the default-mode network, contributed most significantly to these distinctive brain fingerprints (t = 5.618, p < 0.001). Moreover, these brain fingerprints were relevant to cognitive functions, as evidenced by significant correlations with fluid intelligence (F = 1.282, p = 0.027) and crystallized intelligence (F = 1.405, p < 0.001). The extracted brain fingerprints were additionally associated with genetics, showing that individuals with strong genomic relationships exhibited more similar brain fingerprint patterns (t = -12.330, p < 0.001). Together, our study not only presents an innovative approach to brain functional fingerprinting but also provides valuable insights into the individual variability underlying adolescent neurodevelopment.

neuroscience↗

Natural monoclonal autoantibodies against HERV-K102 Envelope-TM from SLE patients selectively eliminate autoreactive immune cells and cancer cells

In sharp contrast to immune dysfunction in cancer, autoimmune diseases such as systemic lupus erythematosus (SLE) exhibit excessive immune reactions characterized by high titers of autoantibodies to HERV-K102-envelope (HERV-K102-Env) neoantigens, which are frequently found in cancer patients but seldom elicit a strong immune response. Here we aim to address whether anti-HERV-K102-Env autoantibodies in SLE can effectively eliminate autoreactive immune cells and cancer cells expressing HERV-K102-Env neoantigens. We established world-first fully human autoantibody phage display library with 3.67x108 cfu using peripheral blood mononuclear cells (PBMCs) from SLE patients. Through high-throughput screening, we identified nineteen monoclonal autoantibodies (mAbs) targeting the conserved HERV-K102 Env-TM subunit. The EC50 values of these autoantibodies binding to the HERV-K102 Env-TM subunit ranged from 0.002436 g/ml to 1.798 g/ml. Remarkably, eleven of these mAbs not only recognized the HERV-K102 Env-TM glycoprotein on the cell surface but also effectively eliminated autoreactive B, T, and natural killer (NK) cells in SLE, as well as cancer cells. Our findings provide a conceptually new immunotherapy target HERV-K102 Env-TM subunit and open the era of using natural human autoantibodies to treat autoimmune disease and cancers. Several of these monoclonal autoantibodies show promise as potential diagnostic and therapeutic agents, paving the way for innovative approaches to treating SLE and various malignancies.

immunology↗

Divergent effects of cytomegalovirus and rheumatoid arthritis on senescent CD4+ T cells

CD4+ T cell senescence has been linked to repeated antigen stimulation. However, how different types of chronic antigenic exposures impact T cell differentiation and function remains incompletely understood. Using rheumatoid arthritis (RA) and cytomegalovirus (CMV) as models for persistent stimulation in autoimmunity and chronic viral infection, we performed high-dimensional mass cytometry analyses to examine their effects on CD4+ T cell differentiation. We found that CMV seropositive adults have a significant population of highly differentiated CD27-CD28-CD4+ T cells that exhibited common features of senescence, including CD57 and cytotoxic granule expression. In contrast, CD27-CD28-CD4+ T cells were rare in RA patients and Epstein-Barr virus (EBV) or Herpes simplex virus (HSV) seropositive individuals. The few that were present exhibited a predominantly non-cytotoxic profile, with higher expression of TCF1, CD127, and Ki67. Among CMV seropositive individuals, RA was associated with reduced degranulation of cytotoxic granules and lower cytokine production by senescent CD4+ T cells. We did not find an association with age, sex, clinical characteristics, or medication usage by univariate linear regression analyses. However, in vitro tofacitinib treatment reduced T cell functional activity, suggesting contributions from both the disease and RA treatment. These data uncovered distinct influences from CMV and RA, and their combined impact on senescent CD4+ T cell differentiation and function.

immunology↗

Tokenvizz: GraphRAG-Inspired Tokenization Tool for Genomic Data Discovery and Visualization

SummaryOne of the primary challenges in biomedical research is the interpretation of complex genomic relationships and the prediction of functional interactions across the genome. Tokenvizz is a novel tool for genomic analysis that enhances data discovery and visualization by combining GraphRAG-inspired tokenization with graph-based modeling. In Tokenvizz, genomic sequences are represented as graphs, where sequence k-mers (tokens) serve as nodes and attention scores as edge weights, enabling researchers to visually interpret complex, non-linear relationships within DNA sequences. Through a web-based visualization interface, researchers can interactively explore these genomic relationships and extract biologically meaningful insights about regulatory patterns and functional elements. Applied to promoter-enhancer interaction prediction tasks, Tokenvizz outperformed traditional sequential models while providing interpretable insights into genomic features, demonstrating the advantage of graph-based representations for biological discovery. Availability and ImplementationTokenvizz, along with its user guide, is freely accessible on GitHub at: https://github.com/ceragoguztuzun/tokenvizz. ACM Reference FormatCera[g] O[g]uztuzun, Zhenxiang Gao, and Rong Xu. 2024. Tokenvizz: GraphRAG Inspired Tokenization Tool for Genomic Data Discovery and Visualization. In Proceedings of (Bioinformatics). ACM, New York, NY, USA, 7 pages. https://doi.org/XXXXXXX.XXXXXXX

bioinformatics↗

Single-Cell Analysis of Gene Regulatory Networks in the Mammary Glands of P4HA1-knockout mice

Prolyl hydroxylation, catalyzed by collagen prolyl-4 hydroxylase (P4H), is a crucial post-translational modification involved in collagen biosynthesis. P4HA1, an isoform of P4H, plays a prominent role in stabilizing hypoxia-inducible factor-1 (HIF-1). P4HA1 is frequently upregulated in highly aggressive triple-negative breast cancer and has been implicated in tumor progression, metastasis, and chemoresistance. In this study, we investigated the role of P4HA1 in mouse mammary glands by analyzing gene regulatory networks (GRNs) in basal epithelial cells across two mouse groups: control (5Ht) and P4HA1-knockout (6Ho) mice. Specifically, we employed a single-cell network inference approach, integrating single-cell RNA sequencing with the SCENIC pipeline, and incorporated multiple validation strategies to construct gene regulatory networks (GRNs) specific to basal epithelial cells from each mouse group. Despite the inherent challenges of single-cell data, our approach identified robust and reproducible GRN patterns across both mouse groups. Based on these patterns, we identified subclusters of basal epithelial cells with similar regulatory profiles across the two mouse groups and a unique subcluster in the control mice with a distinct regulatory pattern absent in the P4HA1-deficient 6Ho mice. This unique subcluster exhibited concurrent activation and potential crosstalks between stem cell development and inflammatory response pathways, underscoring the crucial role of P4HA1 in regulating these biological processes linked to cancer progression. We validated these findings through multiple approaches, including experimental validation. Given that the loss of P4HA1 disrupts the interplay between stem cells and inflammation, our results suggest that targeting P4HA1 may offer a promising therapeutic strategy for breast cancer treatment. Author SummaryIn this study, we aimed to understand how the P4HA1 gene affects the development and functions of mammary gland cells in mice using a single-cell network approach. P4HA1 plays an important role in collagen production, which is essential for maintaining the structure of normal tissues; however, it also helps stabilize the hypoxia-inducible factor-1 (HIF-1) protein that responds to low oxygen levels, a condition often found in various cancers. We generated and analyzed single-cell RNA sequencing data to understand the regulatory roles of P4HA1 in two groups of mice: one with a single functional allele of P4HA1 and the other with the P4HA1 gene knocked out. We constructed gene regulatory networks for basal epithelial cells in both groups using the SCENIC pipeline. Due to the inherent complexity and noise within single-cell data, we employed multiple validation strategies to ensure that the identified regulatory patterns in the networks across both mouse groups were robust and reproducible. In particular, we found that the P4HA1 gene plays a crucial role in pathways related to stem cell development and inflammation, which are essential for both tissue growth and repair, as well as cancer progression. One unique subcluster of basal epithelial cells found only in control mice with P4HA1 showed simultaneous activation of stem cell and inflammatory processes, suggesting that this gene plays a significant role in regulating the communication between these vital cellular processes. Our work provides new insights into how P4HA1 might serve as a therapeutic target to slow down or prevent the progression of aggressive cancers, such as triple-negative breast cancer, where treatment options are currently limited, leading to a high mortality rate.

bioinformatics↗

Positive impact of Type-A and -C response regulator genes on growth and panicle architecture in rice

Cytokinin signal transduction occurs through a "two-component system." Type-A and -C response regulators (RRs) are groups of proteins of similar structures constituting significant components of cytokinin signal transduction. In rice, 13 (Type-A) and two (Type-C) RRs have been identified to date; however, their functions remain partially known. In this study, we examined the expression patterns of Type-A and Type-C RRs in rice using RNA-Seq and confirmed their functions by constructing mutants of the 15 genes with CRISPR/Cas9. Almost all Type-A RRs played positive roles in the development of secondary branches and secondary spikelets, particularly RR2 and RR4. Notably, rr1 rr2 and rr8 rr12 rr13 higher-order mutants displayed small panicle sizes and decreased plant height. Additionally, both Type-C RRs played positive roles in regulating heading date. RNA-seq revealed several genes with significantly altered expression in the rr2 and rr4 mutants, with almost half of the differentially expressed genes (DEGs) overlapping between the two mutants. Many of the DEGs were associated with the cytokinin and abscisic acid pathways. Our findings provide new insights into the functions of Type-A and -C RRs in rice growth and may serve as a foundation for future studies focusing on cytokinin signaling.

plant biology↗

Alzheimer's Disease Patient Brain Extracts Induce Multiple Pathologies in Vascularized Neuroimmune Organoids for Disease Modeling and Drug Discovery

Alzheimers Disease (AD) is the most common cause of dementia afflicting 55 million individuals worldwide, with limited treatment available. Current AD models mainly focus on familial AD (fAD), which is due to genetic mutations. However, models for studying sporadic AD (sAD), which represents over 95% of AD cases without specific genetic mutations, are severely limited. Moreover, the fundamental species differences between humans and animals might significantly contribute to clinical failures for AD therapeutics that have shown success in animal models, highlighting the urgency to develop more translational human models for studying AD, particularly sAD. In this study, we developed a complex human pluripotent stem cell (hPSC)-based vascularized neuroimmune organoid model, which contains multiple cell types affected in human AD brains, including human neurons, microglia, astrocytes, and blood vessels. Importantly, we demonstrated that brain extracts from individuals with sAD can effectively induce multiple AD pathologies in organoids four weeks post-exposure, including amyloid beta (A{beta}) plaques-like aggregates, tau tangles-like aggregates, neuroinflammation, elevated microglial synaptic pruning, synapse/neuronal loss, and impaired neural network. Furthermore, after treatment with Lecanemab, an FDA-approved drug targeting A{beta}, AD brain extract exposed organoids showed a significant reduction of amyloid burden. Thus, the neuroimmune organoid model provides a unique opportunity to study AD, particularly sAD under a pathophysiological relevant three-dimensional (3D) human cell environment. It also holds great promise to facilitate AD drug development, particularly for immunotherapies.

neuroscience↗

Selection, Design and Immunogenicity Studies of ASFV Antigens for Subunit mRNA Cocktail Vaccines with Specific Immune Response Profiles

Development of safe and effective subunit vaccines for controlling African Swine Fever Virus (ASFV) infection has been hampered by a lack of protective viral antigens, complex virion structures, and multiple mechanisms of infection. Here, we selected ASFV antigens based on their localization on the virion, known functions, and homologies to the subunits of the protective vaccinia virus vaccine. We also engineered viral capsid proteins for inducing optimal antibody responses and designed T cell-directed antigen for inducing broad and robust cellular immunity. The selected antigens in lipid nanoparticle-mRNA formulations were evaluated for immunogenicity in both mice and pigs with concordant results. Different antigens induced divergent immune response profiles, including the levels of IgG and T cell responses and effector functions of anti-sera. We further developed a computational approach to combine antigens into cocktails for inducing specific immune response profiles and validated candidate cocktail vaccines in mice. Our results provide a basis for further evaluating candidate subunit mRNA vaccines in challenge studies. TeaserNovel strategies to develop subunit vaccines for ASFV and other complex large DNA viruses.

immunology↗

Recursive Cleaning for Large-scale Protein Data via Multimodal Learning

AO_SCPLOWBSTRACTC_SCPLOWReliable datasets and high-performance models work together to drive significant advancements in protein representation learning in the era of Artificial Intelligence. The size of protein models and datasets has grown exponentially in recent years. However, the quality of protein knowledge and model training has suffered from the lack of accurate and efficient data annotation and cleaning methods. To address this challenge, we introduce ProtAC, which corrects large Protein datasets with a scalable Automatic Cleaning framework that leverages both sequence and functional information through multimodal learning. To fulfill data cleaning, we propose the Sequence-Annotation Matching (SAM) module in the model, which filters the functional annotations that are more suitable for the corresponding sequences. Our approach is a cyclic process consisting of three stages: first pretraining the model on a large noisy dataset, then finetuning the model on a small manually annotated dataset, and finally cleaning the noisy dataset using the finetuned model. Through multiple rounds of "train-finetune-clean" cycles, we observe progressive improvement in protein function prediction and sequenceannotation matching. As a result, we achieve (1) a state-of-the-art (SOTA) model that outperforms competitors with fewer than 100M parameters, evaluated on multiple function-related downstream tasks, and (2) a cleaned UniRef50 dataset containing [~]50M proteins with well-annotated functions. Performing extensive biological analysis on a cleaned protein dataset, we demonstrate that our model is able to understand the relationships between different functional annotations in proteins and that proposed functional annotation revisions are reasonable.

bioengineering↗

Membrane Expression Enhances Folding, Multimeric Structure Formation, and Immunogenicity of Viral Capsid Proteins

Viral capsid proteins are widely explored for subunit vaccine development but are often hampered by their complexity of production and low immunogenicity. Here, we report a simple approach to overcome these challenges by combining mRNA vaccine technology with protein engineering. Using African swine fever virus (ASFV) capsid proteins P72 and penton as models, we engineered them into membrane-bound and secreted forms, and compared their immunogenicity to the native intracellular form in mice and pigs through mRNA vaccination. The membrane-bound and secreted P72 and penton folded into their native multimeric structure independent of viral chaperone, therefore preserving their conformational epitopes. The membrane-bound P72 and penton also elicited significantly stronger antibody and T cell responses than their secreted or intracellular counterparts. Our study provides a simple approach to enhance folding, multimeric structure formation, and immunogenicity of viral capsid proteins for ASFV subunit vaccine development and immunogenicity of intracellular proteins in general.

immunology↗

IGF2BP3 Promotes Autophagy-Mediated TNBC Metastasis via M6A-Dependent, Cap-Independent c-Met Translation

Tumor metastasis involves a series of complex processes and is a major challenge in clinical treatment. The cooperation of epigenetic modifications and metabolic adaptations endows tumor cells with dynamic adaptations for survival in variable environments, which is crucial for tumor metastasis and worth exploring in depth. In this study, we found IGF2BP3 could link epigenetic modification and metabolic adaptation in promoting autophagy-mediated triple-negative breast cancer (TNBC) metastasis. As a TNBC specifically high expressed N6-methyladenosine (m6A) binding protein, IGF2BP3 could bind to the m6A motif of c-Met mRNA, regulating autophagy-mediated epithelial-to-mesenchymal transition (EMT) progress by c-Met/PI3K/AKT/mTOR pathway. Moreover, through the recruitment of eIF4G2 as a collaborator, IGF2BP3 induced the changes in c-Met protein expression not by affecting mRNA stability, but by facilitating its mRNA translation initiation in an m6A-dependent and cap-independent manner. In conclusion, our study extended the role of IGF2BP3 in autophagy mediated TNBC metastasis, found IGF2BP3 could bind to the m6A motif on the 5', 3'-UTR of c-Met mRNA to facilitate its translation in a cap-independent manner.

cancer biology↗