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Huang, J.

Publications and source records attributed to Huang, J..

At least 37 records · Page 2Linked to original sources

Variant-specific nucleocapsid mutations shape host innate immune trajectories during SARS-CoV-2 infection

The SARS-CoV-2 nucleocapsid (N) protein is one of the most highly expressed proteins during infection and plays crucial roles in the protection and packaging of viral RNA, replication, suppression of the immune response and virus assembly. The N gene and the overlapping accessory open reading frame ORF9b have continually evolved throughout the circulation of the virus, likely due to ongoing adaptation to the human host. This genetic variability influences the interplay of the N protein and its interactors. Yet, little is known about how specific mutations within the N/ORF9b locus of Variants of Concern (VOCs) shape the progression and outcome of infection. Here, we use a multi-omics approach to decipher how these genetic alterations reprogram the host cell by creating Wuhan-Hu-1-based recombinant viruses carrying an isogenic backbone with respective N mutations from the VOCs (called rNs) and comparing their effects at the transcriptome and proteome levels. We found that the mutations induce distinct transcriptional and translational alterations: rN-Alpha drives a stealth-like infection characterized by sustained translation efficiency and specific evasion of the 2'-5'-oligoadenylate synthetase (OAS) innate immune sensor, whereas rN-Delta and rN-BA.2 trigger a highly elevated inflammatory response. For rN-Delta, hyperphosphorylation of the N-protein drives cellular stress culminating in necroptotic cell death. Because these viruses differ only within the N/ORF9b locus, N sequence variation emerges as a determinant of infection outcome in its own right, warranting increased surveillance attention.

molecular biology↗

A cross-kingdom interactome predicted by AlphaFold3 reveals a DNF2-centered interface required for symbiotic accommodation

Legumes convert atmospheric nitrogen into ammonium through symbiotic bacteria housed in root nodules, yet the molecular interactions between rhizobial and host proteins inside nodules remain poorly understood. Here we employed AlphaFold3 to construct a cross-kingdom interactome between Medicago truncatula and its symbiont Sinorhizobium meliloti. Screening more than 217,000 protein pairs yielded 7,137 putative interactions, providing a valuable resource for the broader symbiosis community. Within this network, we focused on DEFECTIVE IN NITROGEN FIXATION 2 (DNF2), a host protein required for rhizobial persistence within nodules. We showed that DNF2 localizes to the peribacteroid space and associates with previously uncharacterized secreted rhizobial proteins (SRPs), suggesting it may function as a hub for host-symbiont communication. Notably, knockout of two DNF2-interacting proteins, SRP86 and SRP485, results in white, nitrogen-fixation-deficient nodules with abnormal symbiosomes and elevated expression of senescence-associated genes, closely phenocopying the dnf2 loss-of-function mutant. Together, our findings define a DNF2-SRP molecular framework underlying symbiotic accommodation, and illustrate the potential of AI-guided interactome mapping to uncover molecular mechanisms of plant-microbe interactions with relevance to sustainable agriculture.

plant biology↗

Metagenomic and metabolomic analysis of a bryozoan-associated microbial complex from the Hanjiang River, China

Background Bryozoans are ancient colonial animals that have existed for over 470 million years and are widely distributed across aquatic environments. Recently, many spherical colloids (average diameter{approx}1 meter in diameter), containing bryozoans and diverse microorganisms, were found in the Hanjiang river in China. In this study, we investigated these bryozoan-dominated microbial complexes using metagenomic sequencing, metabolomic profiling, and complementary approaches. Results The results revealed that the microbial structure dominated by bryophytes included eukaryotes such as fungi, microalgae, and small parasites etc., as well as prokaryotes such as bacteria and viruses. All members form a highly integrated consortium that collaboratively maintains community function and stability, which displayed the shape and structure of a regular microbial complex and increased in size. Additionally, the results suggested the predominately presence of Proteobacteria were particularly abundant and are known to produce bryostatins in response to bryozoan signals. Interesting, it was implied that a decrease or even a loss in virulence occurs when pathogenic microorganisms become members of the complex. This is the first study focusing on the composition and metabolites of the unusual microorganism complex. The results discovered the close and intriguing connections within the microbial communities dominated by the ancient organism bryozoan through multi-omics technologies. It showed that both eukaryotes and prokaryotes can coordinate or compete, thereby forming a stable composite structure.

zoology↗

Differential LncRNA expression profile in the plasma of preeclampsia and normal pregnancies

Background: Early detection of preeclampsia with noninvasive and reliable biomarkers is the foremost step for minimizing adverse effects during pregnancy. However, none maternal serum analyte evaluated so far is sufficiently accurate to allow recommending their routine use. Methods: Microarray was used to first identify differentially expressed LncRNA and mRNA. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to determine bio-functions and signaling pathways. Quantitative real-time polymerase chain reaction was used to validate the results of microarray. Finally, the lncRNA-mRNA co-expression network was constructed to find the interaction of genes. Result: A total of 1476 differentially expressed lncRNAs and 594 mRNAs were identified. Both RNA-seq and RT-qPCR showed the expression of T241171,T338586, uc002ywy.3 was up-regulated, and the expression of ENST00000524858, T131416, T357032, uc.335+ was down regulated in the plasma of patients with preeclampsia. Pathway analysis showed the targeted mRNAs were enriched in apoptosis, sulfur metabolism, starch and sucrose metabolism. ceRNA network found that LncRNA-uc002ywy.3 might be the upstream regulator of miRNA-4498. LncRNA-uc002ywy.3/miRNA-4498 was predicted to interplay with genes involved in programmed cell death-1and its ligand (PD-1/PD-L1) pathway by KEGG analysis. Conclusion s PD-1/PD-L1 signaling pathway may be involved in the development of preeclampsia. The dysregulated LncRNA-uc002ywy.3/miRNA-4498 shed light on a new layer involved in the regulatory network of preeclampsia.

physiology↗

Unifying physical and molecular coordinate systems across modalities in spatial biology

Establishing a unified physical and molecular coordinate system from fragmented multi-modal data is a longstanding challenge in biology. Here, we present MAPS, a modality-agnostic platform for spatial biology comprising (1) MAPS-alignment for ultrafast alignment of any modality, (2) MAPS-integration for both anchored and unanchored integration across orthogonal modalities for 3D multi-modal reconstruction, and (3) MAPS-Explorer for large-scale interactive 3D analysis. MAPS outperformed existing methods across extensive benchmarks on 34 datasets spanning 16 technology platforms and 6 modalities, while delineating fine-grained multi-modal tissue architectures across diverse biological systems in mouse and human. At cross-consortium scale, MAPS integrated 434 slices comprising 21 million cells from 18 atlases and 5 modalities to construct the most comprehensive 3D multi-modal mouse brain atlas. At individual laboratory scale, MAPS empowered routine 2D spatial assays to reconstruct continuous 3D multi-modal landscapes of human hepatocellular carcinoma, revealing the limitations of 2D spatial relationships and uncovering depth-dependent immune-state transitions.

bioinformatics↗

PalmLab: A Comprehensive Computational Platform for Systematic Annotation and Functional Interrogation of Protein Palmitoylation

Protein palmitoylation is a dynamic and reversible post-translational lipid modification with progressively recognized pathophysiological relevance in cancer and a range of human diseases. Current databases, however, predominantly catalog palmitoylation sites derived from isolated literature reports, and suffer from a conspicuous lack of systematic harmonization across publicly available mass spectrometry (MS)-based palmitoylome datasets, which severely impedes standardized annotation and cross-cohort comparative analyses. Here, we introduce PalmLab, an integrative computational platform that synergistically couples MS-based palmitoylome data curation with interactive, multi-dimensional analytical functionalities for both human and mouse proteomes. Through a unified and rigorously standardized bioinformatics pipeline, PalmLab enables systematic reanalysis of all published palmitoylome datasets, yielding a curated compendium of 15,968 human and 9,924 mouse MS-validated palmitoylated proteins, a quantitative increase that more than doubles the total entries available in existing public repositories. The platform further provides user-friendly, code-free analytical modules that support differential palmitoylation profiling, context-specific pattern visualization, protein-protein correlation network inference, mutation-palmitoylation association mapping, and sequence-based motif discovery. Collectively, PalmLab constitutes a comprehensive and openly accessible resource for systematic palmitoylome mining and functional interrogation of palmitoylation events, thereby facilitating the elucidation of palmitoylation-mediated regulatory circuits and aiding the prioritization of novel therapeutic targets in oncology. The platform is freely available at https://palmlab.intelligent-oncology.com.

bioinformatics↗

Cognitive Fitness in Ageing (COFITAGE): A Multimodal and Longitudinal Neuroimaging Dataset

Purpose: Brain aging involves interrelated changes in molecular processes, neuroinflammatory mechanisms, brain macro- and microstructure, sleep physiology, and cognition. The 50 to 70 years age range represents a critical transition period, in which these subtle alterations may precede measurable cognitive decline and the onset of clinical neurodegenerative disease. To allow systematic investigation of these early alterations and the subsequent progression in brain aging, we provide an open-access data resource from a multidisciplinary longitudinal study integrating neuroimaging, genetics, sleep, and neuropsychological phenotyping with assessments at baseline and at 2-year follow-up. Acquisition and Validation Methods: The baseline cohort comprises 101 community-dwelling participants (50-69 years old) who underwent magnetic resonance imaging (MRI) using a 3T protocol that included high-resolution structural imaging (T1- and T2-weighted), quantitative multi-parametric acquisitions with B1 mapping, and multi-shell diffusion-weighted imaging. Moreover, positron emission tomography (PET) imaging was performed using [18F]Flutemetamol or [18F]Florbetapir (amyloid-beta tracers) in all participants, with a subset also undergoing [18F]THK-5351 PET (tau-related/neuroinflammation). The dataset was complemented by extensive phenotypic data, including sleep and neuropsychological assessments, and by genotype data through genetic analysis. 66 participants underwent a 2-year cognitive follow-up, enabling longitudinal analyses of cognitive trajectories. Data acquisition and curation were performed using standardized procedures, with systematic quality control to support reliable cross-sectional and longitudinal analyses. Data Format and Usage Notes: All data are distributed in a BIDS-compliant format, and released in open-access (EBRAINS). Potential Applications: This dataset supports multimodal analyses, allowing the identification of interpretable patterns characterizing brain aging from multiple perspectives. It enables the comparison of different models to derive (semi)quantitative MRI parameters, the discovery of imaging biomarkers associated with early cognitive decline, and the monitoring or prediction of brain aging progression. In addition, it offers focused coverage of adults aged 50-70 years, which is often underrepresented in existing healthy subjects public datasets.

neuroscience↗

Spatial multi-omics analysis reveals vimentin-high macrophages-endothelial cells niche shapes CAFs heterogeneity in colorectal cancer metastasis

The spatial architecture of the tumor microenvironment (TME) is pivotal in the progression of colorectal cancer (CRC) liver metastasis. By applying high-plex spatial multi-omic mapping and neighborhood analysis to a discovery cohort of colorectal cancer primary tumor (PT) and paired liver metastases (LM), we identified a specialized vimentin-high macrophages-endothelial cells niche that orchestrates cancer-associated fibroblast (CAF) phenotypes. Mechanistically, in primary tumors, vimentin-high macrophages secrete INHBA to activate the ACVR2/TGF-{beta} axis in endothelial cells, driving CAFs toward a myCAF phenotype. Conversely, in liver metastases, these macrophages secrete CXCL9 to trigger the PI3K-Akt/NF-[kcy]B/CXCL12 cascade in endothelial cells, directing CAFs toward an iCAF state. Clinically, high niche activity predicts poor survival. Divergent endothelial signaling in primary versus metastatic lesions exposes site-specific stromal vulnerabilities for therapeutic targeting, with architectural features discernible from routine histopathology. These findings reveal a site-specific regulatory mechanism of the macrophage-endothelial niche, offering a novel and clinically significant biomarker for CRC prognosis.

cancer biology↗

An interoperable research agent network for scientific discovery

Recent advances in agentic systems have enabled the autonomous execution of research tasks across scientific domains. However, the rapid emergence of specialized scientific agents for areas such as computational pathology, microbiome research, gene editing, materials science, organic chemistry, and drug discovery has created a fragmented ecosystem of scientific capabilities. While these agents often demonstrate strong performance within their respective domains, limited interoperability makes it difficult to combine expertise across platforms and coordinate complex interdisciplinary workflows. Here we introduce GUIA (Guided-research Utilizing Intelligent Agents), an interoperable research-agent network built upon a flexible Agent-to-Agent (A2A) communication architecture. GUIA enables both in-house and third-party agents to collaborate within shared workflows, allowing scientific capabilities to accumulate through the integration of complementary expertise. We evaluated GUIA through four assessments spanning baseline benchmarking, third-party single-agent integration, third-party multi-agent integration, and cross-server agent collaboration. Furthermore, we demonstrate its practical utility through real-world applications involving therapeutic target discovery, drug discovery, and spatial proteomics analysis. Together, our results show that interoperable research-agent networks can coordinate specialized expertise across independently developed systems, providing a scalable framework for expanding scientific capabilities through collaboration.

bioinformatics↗

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

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

systems biology↗

Spatial cholesterol homeostasis gatekeeps T-cell development and activation by orchestrating signaling and fitness

Cholesterol is essential for T-cell immunity, and its spatial distribution is tightly regulated. Although cholesterol is synthesized in the endoplasmic reticulum (ER), it is predominantly transported to the plasma membrane (PM); however, the machinery mediating this anterograde transport in T cells remains unknown. Here, through a functional genetic screen, we identify oxysterol-binding protein (OSBP) as the principal mediator of ER-to-PM cholesterol transport in T cells. OSBP deficiency depletes accessible PM cholesterol while causing cholesterol accumulation in the ER, resulting in impaired T-cell receptor (TCR) signaling and disruption of ER homeostasis. Using stage-specific conditional knockout mice, we demonstrate that OSBP is required at multiple developmental checkpoints in the thymus, including {beta}-selection, positive selection, and post-selection maturation. Loss of OSBP during early thymocyte development causes a near-complete block in T-cell development, resulting in a profound absence of mature peripheral T cells. In mature T cells, activation markedly increases dependence on OSBP-mediated cholesterol transport, with its inhibition causing ER perturbation and extensive cell death. Finally, we show that disease-associated oxysterols disrupt OSBP-mediated cholesterol transport, leading to T-cell dysfunction and providing a mechanistic explanation for impaired T-cell immunity in pathological settings. Together, our findings identify OSBP as a central regulator of intracellular cholesterol transport that couples membrane cholesterol homeostasis to TCR signaling and ER integrity. These results establish the spatial distribution of cholesterol, rather than its abundance alone, as a fundamental metabolic determinant of thymocyte development and peripheral T-cell function.

immunology↗

The Maine Coon Cat Harboring the MYBPC3-A31P Mutation: A Genotype-Stratified Phenotypic Characterization of Hypertrophic Cardiomyopathy

Abstract Background: Most animal models of HCM are mouse-based, but the thin interventricular septum in mice makes it difficult to clearly distinguish pathological hypertrophy, which introduces substantial errors and constrains basic HCM research. Cats develop HCM spontaneously, and the common MYBPC3-A31P variant in cats is homologous to human mutations in both genetics and pathology, with a larger body size that makes them suitable as large-animal models. This study examines how heterozygosity or homozygosity for the p.A31P mutation (c.91G>C) in the MYBPC3 gene affects the phenotype and severity of HCM in affected cats, with the aim of establishing an ideal large-animal model for clinical risk stratification and precision diagnosis and treatment of human HCM. Methods: Forty-nine Maine Coon cats were enrolled and stratified into homozygous mutant (HOM, n=8), heterozygous mutant (HET, n=26), and wild-type (WT, n=15) groups. All cats underwent echocardiography, blood pressure measurement, physiological assessment, hematological and biochemical analyses, and cross-species sequence conservation analysis. Results: No significant differences in baseline characteristics including age and body weight were observed among groups (P>0.05). HOM cats exhibited significantly higher left ventricular outflow tract pressure gradients and greater basal septal thickness compared to WT cats (P<0.05), with HET cats showing intermediate values. Analysis of hematological and serum biochemical parameters revealed no evidence of systemic inflammation or hepatic injury. Sequence conservation analysis confirmed that the A31 residue is highly conserved across mammalian species. Conclusions: This study provides a phenotypic characterization of Maine Coon cats carrying the MYBPC3-A31P mutation, revealing marked gene-dose effects on cardiac structure and function, with homozygous individuals exhibiting more severe phenotypic features. This model serves as a large-animal translational platform that not only clarifies genotype-phenotype correlations but also supports risk stratification and precision therapeutic strategies in human HCM. Its spontaneous nature and genetic homology to human disease make it particularly valuable for bridging preclinical findings to clinical application.

genetics↗

Time-Resolved Phenotypic and Transcriptomic Responses of Primary Canine Dermal Fibroblasts to Prolonged Hypothermic Stress

Prolonged low-temperature exposure may extend the preservation window of mammalian cells but can also disrupt cellular homeostasis and ultimately compromise cell viability. This study investigated the time-dependent phenotypic and transcriptomic responses of primary canine dermal fibroblasts to sustained hypothermic stress. Passage-three fibroblasts were continuously maintained at 15 for up to 15 days, with samples collected on Days 0, 3, 6, 9, 12, and 15. Cellular morphology, metabolic activity and viability, and apoptosis were evaluated using bright-field microscopy, Cell Counting Kit-8 assays, and Annexin V-FITC/propidium iodide flow cytometry, respectively. RNA sequencing was performed to characterize dynamic transcriptional changes throughout the exposure period. Early low-temperature exposure was associated with relatively preserved cellular morphology and viability, suggesting a transient adaptive response. With increasing exposure duration, fibroblasts exhibited progressive morphological deterioration, reduced metabolic activity, loss of adhesion, and increased apoptosis. Time-series transcriptomic analysis further revealed temporally coordinated and stage-dependent gene-expression programs associated with metabolic regulation, cellular stress responses, structural homeostasis, and cell survival. Integration of phenotypic and transcriptomic data demonstrated that the response of primary canine dermal fibroblasts to 15 was dynamic rather than linear, progressing from early adaptation to cumulative dysfunction during prolonged exposure. These findings provide a framework for defining the low-temperature tolerance of primary canine dermal fibroblasts and may inform the optimization of protocols for their short- to medium-term preservation and transportation.

cell biology↗

BET BD2 inhibition facilitates SPOP-mediated degradation of chromatin-associated BRD4/BRD4-NUT, a therapeutic vulnerability in NUT carcinoma

BET bromodomain inhibitors block binding of BET family bromodomains 1 and 2 (BD1, BD2) to chromatin and have demonstrated clinical activity in NUT carcinoma (NC), a BRD-NUT fusion-driven cancer, but toxicity from BD1 inhibition has limited their effectiveness. We investigated whether selective inhibition of BRD4 bromodomain 2 (BD2) could retain antitumor activity while reducing toxicity. NC cells were uniquely sensitive to the novel BRD4-BD2 inhibitor DC-9476 and other BD2-selective inhibitors, which induced differentiation and growth arrest. A CRISPR knockout screen identified the BRD4-targeting E3 ligase SPOP as the top resistance hit. BD2 inhibition, but not BD1-selective or pan-BET inhibition, triggered SPOP-dependent proteasomal degradation of BRD4 and BRD4-NUT; SPOP loss prevented degradation and largely rescued BD2 inhibitor-induced differentiation and growth arrest. Unexpectedly, BRD4 and BRD4-NUT remained chromatin-associated during BD2 inhibition, whereas BD1 or pan-BET inhibition displaced them. Together with evidence that ectopic BRD4-NUT expression sensitizes BRD4 to degradation, these findings support a model in which BRD4-NUT megadomains create a high-density, degradation-competent SPOP substrate pool of BRD4 and BRD4-NUT upon BD2 inhibition, whereas pan-BET inhibition disperses this substrate and limits efficient degradation. In preclinical NC models, BD2-selective inhibition achieved greater tumor growth inhibition and survival benefit than pan-BET inhibition, revealing a therapeutic vulnerability.

cancer biology↗

Multi-omics characterization of extracellular vesicles derived from virus-positive Merkel cell carcinoma cells

Merkel cell carcinoma (MCC) is a highly aggressive skin cancer, with approximately 80% of cases driven by Merkel cell polyomavirus (MCPyV). Although extracellular vesicles (EVs) are increasingly recognized as mediators of intercellular communication within the tumor microenvironment, their molecular cargo in MCPyV-positive MCC has not been comprehensively characterized. Here, we performed a multi-omics characterization of EVs released by two MCPyV-positive MCC cell lines. EVs were isolated by differential ultracentrifugation and characterized by nanoparticle tracking analysis, imaging flow cytometry, cryo-electron microscopy, and immunoblotting, demonstrating a heterogeneous population of small and large EVs. Proteomic and transcriptomic analyses revealed that MCC-derived EVs possess distinct protein, mRNA, and miRNA cargo compared with their parental cells, with enrichment of molecules associated with gene expression, RNA processing, intracellular signaling, and vesicle-mediated transport. Despite differences in the molecular composition of EVs derived from WaGa and MKL-1 cells, functional enrichment analyses revealed highly similar biological pathways. To investigate whether the viral oncoprotein small T antigen (sT) contributes to EV cargo composition, EVs from inducible sT knockdown cells were analyzed. Loss of sT was associated with modest changes in the EV proteome and mRNA cargo, whereas the overall EV-associated miRNA profile remained largely unchanged. Collectively, these findings provide the first comprehensive molecular characterization of EVs released by MCPyV-positive MCC cells and establish a foundation for investigating the contribution of EV-mediated communication to MCC biology and tumor-microenvironment interactions.

molecular biology↗

The aphid effector CathB6 suppresses EDS1-dependentimmunity and rewires MORF2-GUN1-GLK signalling tosustain host cellular homeostasis in Arabidopsis

Aphids use stylet mouthparts to probe plant tissues and deliver oral secretions into host cells, modulating immunity to establish long-term phloem feeding sites in sieve elements. This feeding behaviour make aphids efficient vectors of plant pathogens. We previously showed that Myzus persicae cathepsin B (CathB) effectors promote aphid colonization, accumulate in dynamic cytoplasmic processing bodies (p-bodies), bind the key Arabidopsis thaliana immune regulator EDS1, and recruit EDS1 together with its signalling partners PAD4 and ADR1 to p-bodies. However, the extent to which CathB effectors suppress EDS1-regulated immunity remains unclear. Here, we show that CathB6-expressing Arabidopsis lines exhibit substantial transcriptomic overlap with the eds1-2 mutant, consistent with CathB6 suppression of EDS1-dependent immunity. However, CathB6 also induces broader transcriptional reprogramming beyond that explained by loss of EDS1 function. A yeast two-hybrid screen identified the transcription factors GLK1 and GLK2, as well as several MORF proteins, as CathB6 interactors. CathB6-expressing plants recapitulated GLK- and MORF-regulated transcriptional changes, suppressing GUN1-associated activity while maintaining GLK-mediated expression of photosynthesis-associated nuclear genes (PhANGs). We found that GLKs promotes CathB6 nuclear accumulation and reduces its p-body association. TurboID proximity labelling further linked CathB6 to PhANG-associated proteins, known MORF2- and GUN1-interacting factors, p-body components, and actin-tubulin/myosin machinery, the latter being consistent with the highly dynamic behaviour of CathB6-associated p-bodies. Together, these data indicate that, beyond suppressing EDS1-mediated defenses, CathB6 interferes with the MORF2-GUN1-GLK signalling pathway, modulating plant defense responses while sustaining GLK-mediated PhANG expression to maintain cellular homeostasis during aphid attack. SIGNIFICANCE STATEMENTAphids damage crops and spread plant diseases while feeding. We discovered how a protein in aphid saliva, CathB6, helps these pests establish themselves on plants. CathB6 weakens a major immune pathway and alters communication between chloroplasts and the cell nucleus. This allows the aphid to reduce plant defences while maintaining photosynthesis and normal cell function. These findings reveal a sophisticated survival strategy and may identify ways to develop crops that are more resistant to aphids.

plant biology↗

Transcriptional Mapping of Neuro-Immune Interactions during Homeostasis and HIV infection using Microglia-containing Human Cerebral Assembloids

BackgroundA significant number of people with HIV-1 still experience neurocognitive impairments (NCI), despite effective antiretroviral treatment. HIV-NCI is diverse and multifactorial, with mechanisms that cause its development and progression still not fully understood. We examined early HIV-related changes in brain stability and studied neuroimmune interactions at the single-cell level to better understand how NCI develops. MethodsTo model changes in brain homeostasis, we developed an advanced human iPSC-derived 3D cerebral assembloid model that includes microglia, by co-developing neural progenitor cells with tdTomato-tagged and CD34+ cell-derived microglial precursors. Assembloids were infected with a macrophage R5-tropic HIV-1 strain NL-AD8. Viral spread was measured using a proviral DNA assay, qPCR for HIV RNA, and 3D immunostaining for Tat protein. Single-cell transcriptomics with tdTomato lineage tracing revealed HIV-1 induced disturbances and cell-type-specific responses. The niche net algorithm was used to identify ligand-receptor interactions between microglia and the brain microenvironment during homeostasis and HIV infection. ResultsHighly ramified tdTomato+ IBA-1+ microglia were evenly distributed throughout the assembloids within 15 days of culture. Single-cell transcriptomics identified microglia, excitatory/inhibitory neurons, astrocytes, and oligodendrocyte precursors within the assembloids. Neurons in microglia-containing assembloids upregulated genes related to neurotransmission, synaptogenesis, and neuronal development compared to neurons in organoids without microglia. Niche net analysis showed microglia-derived neurotropic ligands supported neuronal and astrocytic differentiation. The R5-tropic HIV-1 specifically targeted microglia, inducing a reactive phenotype that transmitted interferon and pro-inflammatory signals to nearby cells and increased MHC-I antigen-presentation genes. Notably, neuroprotective ligands from non-glial cells and bystander microglia in the assembloids attempted to counteract HIV-related inflammation and promote neural repair. ConclusionsOur microglia-containing assembloid model replicates in vivo neurodevelopmental interactions, allowing high-resolution analysis of homeostatic and HIV-induced responses across different brain cell types. Homeostatic microglia support neuronal health, while HIV infection triggers a reactive state that spreads inflammatory signals within the brain environment. The presence of multiple glial and non-glial populations uncovered previously unknown crosstalk, including bystander microglial phenotypes and neuroprotective signaling mechanisms that counteract inflammation. These findings emphasize early HIV responses that balance injury and adaptation, offering insights for developing therapies that target microglial activation, boost neuroprotection, and address HIV reservoirs in the brain.

microbiology↗

DrtA, a novel major facilitator superfamily transporter, contributes to intrinsic tolerance to the chemotherapeutic agent mitomycin C in Acinetobacter baumannii

Human-targeted non-antibiotic drugs are increasingly recognized for their intrinsic antibacterial activity, yet Gram-negative pathogens such as Acinetobacter baumannii exhibit substantial tolerance to these compounds. This tolerance is largely attributed to restricted outer membrane permeability and the activity of multidrug efflux systems. While Resistance Nodulation Division (RND) transporters have been extensively studied, the contribution of individual Major Facilitator Superfamily (MFS) transporters to non-antibiotic drug tolerance remains poorly understood. Here, we investigated H0N29_04330, designated Drug Resistance Transporter A (DrtA), a Bcr/CflA subfamily MFS transporter, to define its substrate specificity and contribution to antibiotic and non-antibiotic drug tolerance. DrtA was highly conserved across the A. calcoaceticus-baumannii complex and exhibited broad substrate specificity when heterologously expressed in an efflux-deficient Escherichia coli background, conferring resistance to benzalkonium, ethidium bromide, phenicols, and the antineoplastic agent mitomycin C. Intriguingly, drtA expression increased E. coli susceptibility to the antifolate compounds methotrexate and aminopterin, suggesting that DrtA may recognize folate-related metabolites rather than function as a dedicated antifolate transporter. In contrast, loss of drtA in its native A. baumannii host primarily impaired tolerance to mitomycin C, highlighting a context-dependent physiological role influenced by the extensive functional redundancy among A. baumannii efflux systems. Site-directed mutagenesis further identified M18 and the membrane-embedded protonatable residue D26 as critical determinants of DrtA transport activity and substrate recognition. Together with previous characterization of CraA, our findings demonstrate that Bcr/CflA subfamily MFS transporters contribute to protection against structurally diverse human-targeted compounds and expand the functional landscape of efflux-mediated intrinsic tolerance beyond conventional antibiotic resistance.

microbiology↗