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Zhu, Y.

Publications and source records attributed to Zhu, Y..

At least 181 records · Page 10Linked to original sources

Characterization of Phytoplankton-Excreted Metabolites Mediating Carbon Flux through the Surface Ocean

The marine labile dissolved organic carbon (DOC) pool is a dynamic reservoir of thousands of molecules that cycles approximately one-quarter of Earths primary production within days to weeks. After excretion by phytoplankton and other microbes, metabolites are rapidly consumed, resulting in low standing concentrations (picomolar to low nanomolar). Despite the decades-long search for labile DOC sources and molecular identities, marine phytoplankton exometabolomes are not well characterized, largely due to difficulties in measuring small polar molecules in saline water. Here, we profiled the exometabolomes of six axenic phytoplankton species representing key functional groups including a diatom (Thalassiosira pseudonana CCMP1335), a picoeukaryote (Micromonas commoda RCC299), a coccolithophore (Gephyrocapsa huxleyi CCMP371), a diazotrophic cyanobacterium (Crocosphaera watsonii WH8501), and two picocyanobacteria (Prochlorococcus marinus MIT 9301 and Synechococcus WH8102). From these cultures, we quantified 56 amine- and alcohol-containing exometabolites representing 11 compound classes which in sum comprised up to 23.4% of phytoplankton-excreted DOC. We estimated that these phytoplankton-derived exometabolites could supply up to 5% of the daily carbon quota of the dominant heterotrophic bacterium SAR11 in the surface ocean. Substantial variations in exometabolite identity and concentration across phytoplankton taxa underscore taxonomic diversity as a key driver in the supply and composition of labile DOC. This taxonomic variation predicts geographic and seasonal differences in the distribution of marine dissolved metabolites that underpin the cycling of labile DOC back to CO2. Overall, our work suggests that phytoplankton exometabolites are key chemical currencies that mediate significant carbon fluxes within the oceans carbon cycle. Significance StatementPhytoplankton exometabolites are key components of the marine labile dissolved organic carbon (DOC) pool, which drives major a fraction of the oceanic carbon flux. Yet, their composition and flux are poorly constrained. Leveraging new methods, we quantified amine- and alcohol-containing exometabolites in diverse phytoplankton and found they varied taxonomically. These exometabolites accounted for up to 23.4% of excreted DOC, potentially supporting a sizable fraction of the global heterotrophic growth. Integrating our results with ecological models suggest that exometabolite composition varies geographically and seasonally in response to changing phytoplankton community structures. Our findings illuminate the long-standing "black box" of labile DOC and link taxonomic diversity to the chemical currencies underpinning the microbe-metabolite networks at the heart of the marine carbon cycle.

ecology↗

RNA polymerase II-TFIIE-TFIIH interface functions in transcription start site selection in Saccharomyces cerevisiae

During transcription initiation in Saccharomyces cerevisiae, RNA polymerase II (Pol II) and general transcription factors (GTFs) assemble upstream of transcription start sites (TSSs) to form the pre-initiation complex (PIC). In this model organism, yeast, the PIC selects TSSs through a unidirectional scanning mechanism referred to as promoter scanning. Previous studies have shown that the TFIIH subunit Tfb3 connects TFIIH to the rest of the PIC through interactions with Pol II and the GTF TFIIE. Activities within the PIC that influence TSS selection can do so by control of initiation efficiency at individual TSSs or by control of TSS scanning (either rate of scanning or scanning processivity). To understand how this critical interface withing the PIC participates in scanning, we used genetic screens to identify tfb3 and tfa1 mutants that alter initiation using initiation-linked phenotypes. We found mutations within the TFIIH-Pol II-TFIIE interface able to alter promoter scanning in either upstream or downstream directions, suggesting that changes to this interface can fine-tune scanning. Subsets of alleles were analyzed using TSS sequencing approaches, showing that tested tfb3 and tfa1 alleles shift TSS distributions across most genomic promoters. Genetic interaction and genomic analysis revealed that the Tfb3 interfaces with Rpb7 and Tfa1 separately contribute to promoter scanning, and that tfb3 alleles exhibit additive effects with scanning processivity mutants in, consistent with Tfb3-PIC interactions modulating scanning processivity. The ability of this interface to easily modulate scanning in both directions is consistent with the types of changes that might incrementally allow promoter scanning to have evolved.

molecular biology↗

High-throughput functional characterization of enhancers in totipotent-like cells

Zygotic genome activation (ZGA) marks the initial transcription event in embryogenesis, yet the cis-regulatory mechanism remains unclear. Here, utilizing massively parallel reporter assays, we functionally dissect enhancers across mouse genome in DUX-induced 2C-like cells (2CLCs). Integrated analysis with epigenomic and transcriptomic data from 2CLCs and 2-cell (2C) embryos, active enhancers in totipotent cells are depicted. Among them, a notable proportion of promoters exhibit enhancer activities, showing elevated active chromatin features and correlating with enhanced gene expression during ZGA. Furthermore, only half of the MT2_Mm exhibit enhancer activities in 2CLCs. In addition, 2CLC enhancers augment transcription in 2C embryos. Finally, deleting enhancer regions in both 2CLCs and 2C embryos highlighted their crucial role in facilitating transcription of ZGA genes. These findings advance our comprehension of the cis-regulatory mechanism governing ZGA process.

developmental biology↗

Macrophage EHD1 promotes inflammation and stabilizes sortilin to accelerate atherosclerosis

BackgroundMacrophages are key players in the pathogenesis of atherosclerosis. They trigger immune responses through their cell-surface receptors. However, how macrophages regulate those receptors in response to pro-inflammatory stimuli is not completely understood. Endocytic membrane trafficking involving receptor internalization, followed by endosomal transport and recycling of the internalized receptors, plays essential roles in balancing cell-surface receptors to meet cellular needs. Here, we explored the role of the endocytic regulator EHD1 in immune responses in macrophages and determined its contribution to atherosclerosis progression. MethodsEHD1 expression profiles in mouse and human plaques were determined by single-cell RNA sequencing (scRNA-seq) and immunofluorescence staining. Bone marrow transplantation (BMT) by transplanting bone marrow cells from Ehd1-/- or littermate wild-type mice to irradiated Ldlr-/- mice was performed to determine the effect of EHD1 deletion on atherosclerosis progression. In vitro mechanistic studies including inflammation signaling and endocytosis assays were performed in bone marrow-derived macrophages. ResultsEHD1 expression in macrophages is enhanced as atherosclerosis progresses in both mice and humans. Histological analysis of aortic root sections from BMT mice showed that EHD1 deletion reduces lesion size. ScRNA-seq of aortic CD45+ cells demonstrated that EHD1 deletion attenuates pro-inflammatory responses and cell-cell interactions. Mechanistic studies revealed that EHD1 accelerates the endocytic recycling of TNFR2 and activates NF-kB, leading to increased expression of inflammatory cytokines. Moreover, EHD1 interacts with retromer and stabilizes sortilin, a retrograde cargo of retromer and a risk factor for atherosclerosis. ConclusionsEHD1 promotes inflammation by enhancing TNFR2-NF-kB signaling and stabilizing sortilin, leading to accelerated atherosclerosis. Our study reveals novel roles for EHD1-mediated membrane trafficking in macrophage function and paves the way to innovative therapeutic strategies that aim to address dysregulated membrane trafficking in atherosclerosis.

cell biology↗

TMEM100 attenuates NF-κB activation via disrupting the PRDX1-GNAI2 complex to alleviate acute lung injury

Acute lung injury (ALI) is a severe and diffuse inflammatory disorder of interstitial lung. Emerging evidence suggests that TMEM100 is closely associated with lung development and function. However, its role in ALI remains unclear. In this study, we observed a significant downregulation of TMEM100 expression in both mouse lung tissues with ALI and lipopolysaccharide (LPS)-induced pulmonary vascular endothelial cells (PVECs). Overexpression of TMEM100 markedly attenuates LPS-induced lung injury and inflammation, while also restoring the imbalance between proliferation and apoptosis in PVECs. Mechanistically, TMEM100 interacts with both PRDX1 and GNAI2, disrupting the PRDX1-GNAI2 complex and thereby inhibiting LPS-induced NF-{kappa}B activation, which contributes to its anti-inflammatory effects. These findings highlight the protective role of TMEM100 in endotoxin-induced ALI and provide a theoretical basis for understanding its biological functions and potential applications in ALI gene therapy.

immunology↗

Structure-guided design of native-like HIV Env Single Chain Trimers for enhanced stability, immunogenicity, and versatile vaccine delivery

Stabilizing the HIV envelope (Env) trimer in its native prefusion conformation is key to eliciting broadly neutralizing antibodies (bnAbs). We present a generalizable single-chain trimer-(SCT) design platform that enables the production of stable, native-like Env trimers across diverse HIV strains. Using a structure-guided approach, we developed CAP256.SU-SCT9, based on a CAP256.SU Env shown to induce V2-apex bnAbs in humans and rhesus macaques. CAP256.SU-SCT9 trimer exhibited native-like structure, bnAb-specific antigenicity, authentic glycosylation, and compatibility with nucleic acid and nanoparticle delivery. We extended this design strategy to a panel of HIV Envs representing global diversity, and immunogens known to initiate bnAb responses in humans. Structural analyses confirmed that SCTs consistently maintained prefusion-closed conformations, favorable glycan profiles, strong binding to trimer-specific bnAbs, and low reactivity with non-neutralizing antibodies. These findings establish SCT as a versatile platform for HIV trimer immunogen design, with potential to support next-generation vaccines aimed at eliciting protective bnAb responses.

immunology↗

Germline-targeting HIV immunogen induces cross-neutralizing antibodies in outbred macaques

Germline-targeting-(GT) is a promising strategy to activate rare broadly neutralizing antibody (bnAb)-producing B cells against HIV, but induction of such responses in outbred animals has not been achieved. Using antibody-guided structure-based design, we engineered a germline-targeting trimer immunogen Q23-APEX-GT2 that primes diverse V2-apex bnAb precursors. Q23-APEX-GT2 efficiently activated V2-apex-specific B cells in humanized knock-in mice and consistently elicited immunofocused antibody responses in rhesus macaques, priming multiple long CDRH3-loop bnAb-B cell lineages. Monoclonal antibodies from immunized macaques exhibited broad heterologous HIV trimer binding and cross-neutralization. Atomic-level structural studies confirmed precise epitope targeting and revealed CDRH3-paratope configurations that mirrored those of human V2-apex bnAbs. This study provides proof-of-principle for successful priming and maturation of authentic V2-apex bnAb precursors in outbred macaques, underscoring the potential of V2-apex-targeted vaccines. HIGHLIGHTSO_LIEngineered Q23-APEX-GT2 trimer to stimulate diverse V2-apex bnAb B cell precursors C_LIO_LIQ23-APEX-GT2 primed rare V2-apex bnAb B cells in mice and outbred rhesus macaques C_LIO_LIQ23-APEX-GT2 elicited immunofocused antibody responses and diverse V2-apex B cell lineages with desirable long-CDRH3 paratope properties C_LIO_LIQ23-APEX-GT2 alone induced V2-apex antibodies with broad HIV trimer binding and modest neutralization breadth C_LIO_LIStructural analysis confirmed bnAb site targeting, mirroring human and rhesus V2-apex bnAbs C_LI

immunology↗

High-throughput Single-Cell Proteomics and Transcriptomics from the Same Cells with a Nanoliter-Scale Spin-Transfer Approach

Single-cell multiomic platforms provide a comprehensive snapshot of cellular states and cell types by offering critical insights into the spatiotemporal regulation of biomolecular networks at a systems level, thereby defining the basis of multicellularity. Here, we introduce nanoSPINS, an advanced platform that enables high-throughput profiling and integrative analysis of the transcriptome and proteome from the same single cells using RNA sequencing and isobaric labeling LC-MS-based proteomics, respectively. NanoSPINS can efficiently transfer mRNA-containing droplets across two microarrays via a centrifugation-based approach, while proteins are retained on the initial platform. Benchmarking of nanoSPINS on two cell lines demonstrates its ability to generate global proteomic and transcriptomic profiles that align well with previously established methodologies/platforms. The incorporation of isobaric TMTpro labeling into this single-cell multiomics platform significantly enhances the throughput of single-cell proteomic analyses. Through the high-throughput quantification of the proteome and transcriptome, nanoSPINS not only facilitates the identification of molecular features at both mRNA and protein level but also provides larger sample sizes for improved statistical power in clustering and differential abundance. Given the broad applicability of single-cell multiomics in biological research and clinical settings, we believe nanoSPINS represents a powerful platform for the characterization of heterogeneous cell populations.

systems biology↗

LabOS: The AI Co-Scientist That Sees and Works With Humans

Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and XR-enabled, embodied human-AI collaboration. To empower agentic AI with embodied intelligence, we built LabSuperVision, the first vision-language-model (VLM) benchmark spanning biomedical and materials science laboratories, designed to evaluate scientific perception and reasoning. This endowed LabOS with visual reasoning capabilities that surpass those of general-purpose models on laboratory-specific tasks. By connecting multi-model AI agents, smart glasses, and human-AI-robot collaboration, LabOS allows AI to see what scientists see, understand experimental context, and participate in real-time execution through immersive XR interaction and robotic autonomation. Across applications-from cancer immunotherapy target discovery to cell engineering-LabOS shows that AI can move beyond computational design to participation, turning the laboratory into an intelligent, collaborative environment where human and machine discovery evolve together.

bioengineering↗

Elevated Temperatures Representing Heatwave Conditions Shift Active Nitrifying Communities and Their Viruses in Tidal Flats and Agricultural Soils

Global heatwave intensification associated with climate change will impact the nitrogen cycle, yet its effect on specific nitrifier groups or their interactions with viruses remains unclear. Using 13CO2-DNA-based stable isotope probing (SIP) coupled with metagenomics, we show that elevated temperatures associated with heatwave conditions restructure active nitrifying communities and their viruses in Yangtze River estuary tidal flats and adjacent agricultural soils. In tidal flats, high temperatures shifted active ammonia-oxidizing archaea and bacteria (AOA and AOB), and nitrite-oxidizing bacteria (NOB) from marine to terrestrial ecotypes. In contrast, heatwave conditions stimulated terrestrial ecotypes of AOA but suppressed AOB in agricultural soils. 13C-labeled nitrifier-infecting viruses also showed temperature-driven shifts in activity, lifestyle, and auxiliary metabolic genes in concert with hosts. Notably, AOA viruses carried the plastocyanin gene, potentially augmenting host metabolism. These findings demonstrate heatwaves drive complex shifts in nitrifier communities and their interactions with viruses, impacting global nutrient cycling under climate extremes.

microbiology↗

SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening

Lead optimization plays an important role in preclinical drug discovery. While deep learning has accelerated this process, structure-based approaches that leverage 3D protein-ligand information remain underexplored. Existing models could improve predicted affinity but often yield synthetically inaccessible compounds, whereas screening-based methods limit chemical novelty by relying on fixed fragment libraries. To bridge the gap, we introduce Slogen--a Structure-based Lead Optimization algorithm unifying fragment Generation and screENing. To achieve this, Slogen integrates a transformer-based variational autoencoder, pretrained on the BindingNet v2 dataset, with an E(3)-equivariant graph neural network that models 3D protein-fragment interactions. This unified framework enables both fragment generation and similarity-based screening, simultaneously addressing synthetic tractability and structural diversity. Benchmarking study shows that Slogen matches or surpasses state-of-the-art methods while exploring broader chemical space. Case studies on the Smoothened and D1 dopamine receptors demonstrate its capacity to design high-affinity, drug-like molecules, providing a practical method for structure-guided lead optimization.

bioinformatics↗

A complex phenotypic assay of mammalian oocyte maturation identifies compounds that block meiotic progression for non-hormonal contraceptive discovery

Despite the prevalent use and efficacy of hormonal contraception, it remains unsuitable for many due to the prevalence of perceived and actual side effects. Thus, there is a need for novel contraceptives for women worldwide, especially non-hormonal options. During ovulation, oocytes undergo a maturation process by which they progress through meiosis, a specialized cell division needed to reduce chromosome content. Given that meiotic progression is essential for generating a fertilizable egg but does not affect hormone production, it represents a promising biological mechanism to target for female non-hormonal contraception. In this study, we developed a phenotypic screening platform modeled after biopharmaceutical industry practices using mouse oocytes to screen for compounds that block meiotic progression. Oocytes were matured in vitro in the presence of selected compounds from a bioactive compound library, and confirmed hits were identified as those that potently and reproducibly blocked meiotic progression. In addition, we showed that the inhibitory effect of these compounds was persistent and reversible. Thus, our oocyte drug screening pipeline provides a powerful system to identify novel drug discovery candidates for further follow up for non-hormonal contraception development.

cell biology↗

Computer Vision Methods for Spatial Transcriptomics: A Survey

Spatial transcriptomics (ST) enables the simultaneous measurement of gene expression and spatial localization within tissue sections, providing unprecedented opportunities to dissect tissue architecture and functional organization. As a relatively new omics technology, bioinformatics has driven much of the innovation in ST. However, within these frameworks, "spatial" information is often reduced to locations and relationships between molecular profiles, without fully leveraging the wealth of submicron morphological detail and histological knowledge available. Advances in computer vision-based artificial intelligence (AI) are opening exciting new avenues beyond conventional bioinformatics approaches by modeling complex histological patterns and linking morphology to molecular states. More excitingly, they bring fresh perspectives to potentially address key limitations of ST, including its high cost, limited clinical applicability, and reliance on twodimensional (2D) analysis of inherently three-dimensional (3D) tissues. For instance, models that predict ST directly from histology images enable "virtual sequencing," drastically reducing costs while integrating morphological insights from pathology with molecular biomarkers, thus accelerating clinical translation. Moreover, computer vision techniques can reconstruct pixel-aligned 3D tissue models, overcoming the technical barriers of 2D acquisition and advancing 3D spatial omics analytics. In this paper, we present the first systematic survey of computer vision AI models for ST analytics, categorizing approaches across architectures, learning paradigms, tasks, and datasets, and tracing their technological evolution. We highlight key challenges and future directions, offering a panoramic perspective on vision-driven ST and its potential to transform both basic research and clinical practice. The curated collection of vision-driven spatial transcriptomics papers is available at https://github.com/hrlblab/computer_vision_spatial_omics.

bioinformatics↗

Rare centenarian SIRT6 coding variants elevate SIRT6 protein levels and resist cellular senescence

Centenarians provide valuable insights into the biological mechanisms underlying human longevity and potential gerotherapeutic targets. We previously identified two linked missense variants in SIRT6 that are enriched in Ashkenazi Jewish centenarians. To investigate their functional impact in physiologically relevant cellular contexts, we generated human embryonic stem cells carrying these variants through precise genomic knock-in and differentiated them into somatic lineages. Functional characterization revealed that the centenarian variants endogenously elevated SIRT6 protein levels through weakened interaction with vimentin, and altered SIRT6 enzymatic activities including enhanced mono-ADP-ribosyl transferase activity and reduced deacetylase activity. These variants delayed replicative and progerin-induced cellular senescence, preserving genome stability through maintenance of DNA repair pathways and suppression of transposable element derepression. Moreover, pharmacologically mimicking the centenarian variants using SIRT6 activator Fucoidan-FV partially ameliorated premature aging-associated molecular defects in progeria fibroblasts. Together, our findings demonstrate that rare centenarian variants exert multifaceted effects on SIRT6 and enhance cellular resilience, providing insights for developing geroprotective therapies informed by genetic discoveries in exceptionally long-lived individuals.

cell biology↗

NQO1 phase condensation promotes stress granule assembly to facilitate pancreatic carcinogenesis

G3BP1 promotes pancreatic ductal adenocarcinoma (PDAC) tumorigenesis driven by oncogenic KRAS mutations through liquid-liquid phase separation (LLPS)-mediated assembly of stress granules (SGs). However, the regulatory mechanisms remain elusive. We identify the antioxidant enzyme NAD(P)H quinone dehydrogenase 1 (NQO1) as a novel SG regulator that enhances SG assembly in pancreatic cancer cells independently of reactive oxygen species (ROS). Mechanistic studies reveal that NQO1 does not regulate the expression of G3BP1 or other SG-associated genes. Instead, NQO1 undergoes LLPS dependent on its RNA-binding K homology (KH) like domain. Further analysis demonstrates that residues 121-131 of NQO1 directly interact with G3BP1s RNA-binding domain (RBD), enhancing the multivalency of G3BP1 complexes to potentiate LLPS-driven SG assembly. This interaction accelerates cell proliferation, KRAS mutation-induced acinar-to-ductal metaplasia (ADM), and pancreatic carcinogenesis. Notably, the interaction between NQO1 residues 121-131 and G3BP1s RBD is essential for NQO1 phase condensation under stress condition. Integrative analysis of human PDAC transcriptomic datasets reveals a weak association between NQO1 and G3BP1 levels. Importantly, both NQO1 and G3BP1 formed biological condensates and co-localized in the lesions of human PDAC tissue sections. Our study uncovers a novel KRAS mutation-driven mechanism of pancreatic carcinogenesis through the lens of phase separation, transcending conventional gene expression regulation and offering new insights into non-canonical KRAS-NQO1-G3BP1-SG regulatory networks in PDAC initiation.

cancer biology↗

Unraveling the Molecular and Physiological Roles of Signal Peptide Peptidase A (SppA) in Flavobacterium columnare

Columnaris disease, caused by Flavobacterium columnare, represents one of the most economically devastating bacterial infections in global freshwater aquaculture. Despite its significant impact, the molecular mechanisms underlying F. columnare pathogenesis remain largely unexplored due to the challenge in targeted genomic manipulation. Signal peptide peptidase A (SppA) plays a crucial role in bacterial protein secretion by degrading residual signal peptides after protein translocation, yet its function in F. columnare physiology and virulence has not been characterized. Here, we employed a targeted gene deletion approach to investigate the role of sppA in F. columnare. The {Delta}sppA mutant exhibited pleiotropic phenotypes including increased outer membrane vesicle (OMV) production (3.8-fold higher compared to the wild type), reduced biofilm formation, and loss of gliding motility. Transcriptomic analysis of the {Delta}sppA mutant revealed significant upregulation of genes involved in membrane stress response and efflux pump system, including algU, osmC and the genes in the MacAB-TolC efflux system, compared to the wild-type state. Importantly, the artificial infection experiment demonstrated the mutants significantly attenuated virulence in freshwater Medaka (Oryzias latipes), with a 20% higher survival rate of fish compared to the wild type. Our findings reveal that SppA is essential for maintaining membrane homeostasis in F. columnare and serves as one of the virulence factors during columnaris infection. These results provide important insights into the biological function of the sppA gene in F. columnare and highlight the complex relationship between bacterial protein secretion, membrane integrity, and pathogenesis. ImportanceF. columnare causes significant economic loss in freshwater aquaculture. Understanding the molecular mechanisms underlying F. columnare pathogenesis is crucial for developing new ways for disease control. Our findings reveal that SppA is essential for gliding motility, adhesion, biofilm formation and maintaining membrane homeostasis in F. columnare, which serves as one of the virulence factors during columnaris infection. In addition, outer membrane vesicles (OMVs) and MacA/MacB/TolC tripartite efflux pump served as a compensatory mechanism for enhanced peptide metabolites secretion to manage the accumulation of misfolded proteins resulting from the sppA deficiency. These results provide important insights into the biological function of the sppA gene in F. columnare and highlight the complex relationship between bacterial protein secretion, membrane integrity, and pathogenesis.

genetics↗

Programmable Aptamer-Embedded Circular RNAs for Targeted Antigen-Presenting Cells Immunotherapy

The targeted delivery of mRNA to specific cell types in vivo remains a major unmet need in mRNA-based therapeutics. Conventional strategies rely on nanocarriers engineered with various modifications. However, these exogenous materials could cause adverse reactions, and their complex manufacturing processes often hinder clinical application. By leveraging the innate programmability of RNA sequences, we herein report a carrier-free, scalable, and programmable aptamer-embedded circular RNAs (Apt-circRNAs) design that confers targeting capability through the strategic incorporation of different aptamers at varying densities, while retaining circular RNA stability and protein production capability. Experimental results show that antigen-loaded Apt-circRNAs enable targeted delivery to antigen-presenting cells (APCs), drive endogenous antigen expression, activate antigen-specific T cells, and elicit potent immune responses that mediate clearance of both early-and late-stage tumors in mouse models. In humanized models of colorectal cancer, the combination of Apt-circRNA and PD-1 blockade produced synergistic antitumor effects and significantly reshaped the tumor microenvironment. In a first-in-human (FIH) clinical trial, Apt-circRNA vaccine encoding KRAS G12D/G12V neoantigens exhibited a favorable safety profile and induced robust immune activation, T cell mobilization, and neoantigen-specific immune responses. With this study, we have established a new paradigm in carrier-free, APC-targeted RNA vaccine design, offering a safe and effective platform for next-generation cancer immunotherapy.

bioengineering↗

Aphid-derived cross-kingdom RNA dynamics underpin maize resistance

Aphids are major pests of maize (Zea mays), yet the molecular mechanisms underlying their interactions with host plants remain poorly understood. Here, we identified and functionally characterized long non-coding RNAs (lncRNAs) from the aphid-specific Ya gene family in the cereal-specialist aphids Rhopalosiphum maidis and R. padi. We showed that Ya genes formed lineage-specific clusters and were transcriptionally active across both species. Multiple Ya transcripts secreted into maize tissues exhibited remarkable stability compared with rapidly degraded aphid mRNAs and migrated systemically, as visualized in planta using an RNA switch-controlled RNA-triggered fluorescence system. RNA interference of Ya genes significantly reduced aphid fecundity, while ectopic expression of Ya lncRNAs in maize enhanced aphid colonization. Importantly, maize genotypes differing in aphid resistance selectively influenced the persistence of aphid mRNAs but not Ya lncRNAs, indicating a decoupled fate of distinct aphid RNA classes in planta. These findings establish Ya lncRNAs as cross-kingdom effectors critical for aphid virulence, and suggest new molecular markers for breeding aphid-resistant maize.

plant biology↗