bioRxiv Science⌕ Search

Biology subjects

Zhao, L.

Publications and source records attributed to Zhao, L..

At least 37 records · Page 2Linked to original sources

Ecological trajectories and microbial network reorganization across caries-associated oral niches

Dental caries is a biofilm-mediated disease associated with ecological changes in the oral microbiome. How microbial community organization differs among healthy plaque, caries-associated plaque, and carious dentin remains incompletely defined. We used 16S rRNA gene sequencing to profile paired supragingival plaque and carious dentin samples from patients with caries, together with supragingival plaque from healthy controls. Caries-associated plaque showed higher diversity than healthy plaque, whereas diversity was lower in carious dentin. Ecological ordering placed the three sample types along a health-plaque-dentin continuum. Association-network analysis showed distinct network structures in caries-associated plaque and carious dentin, with the dentin network displaying greater density and lower modularity. By integrating differential-abundance and network centrality results, we identified taxa associated with the dentin niche. A sparse logistic regression model using three genera distinguished plaque from dentin in patient-grouped cross-validation (AUROC, 0.780; AUPRC, 0.718). These cross-sectional findings describe niche-associated microbiome organization in dental caries and provide candidate features for future validation in independent, clinically relevant cohorts.

microbiology↗

Individual-tree phenology reveals climate-dependent responses to urban thermal heterogeneity across U.S. cities

Rapid urbanization is altering the seasonal life cycles, or phenology, of urban trees. Diverse species composition and heterogeneous urban thermal environments can generate pronounced phenological variation within cities, yet such fine-scale seasonality remains poorly understood. This limits the ability to anticipate localized ecosystem services and disservices, including canopy cooling and pollen exposure. Here, we analyzed individual-tree phenology and their response to temperature across 76 cities in the contiguous United States by integrating municipal street-tree inventories, PlanetScope satellite time series, and 1-km near-surface urban air-temperature data. We quantified intra-city and cross-city phenological variation, estimated species-level associations between phenology and fine-scale urban temperature, and tested whether these associations vary with regional climatic context. Intra-city phenological variation rivaled cross-city variation for 33.3% of species in spring and 53.7% in fall. Temperature-phenology associations were widespread: warmer local urban environments were associated with earlier spring onset in 51.5% of cases and delayed fall senescence in 66.5%, with approximately two-thirds of these responses cascading to longer growing seasons. These associations varied with regional climate, generally showing stronger spring advancement and fall delay in cooler and wetter cities, but weaker or reversed responses in hotter or drier cities. Together, these results suggest that urban tree phenology is shaped by interactions among fine-scale urban temperature, species identity, and regional climate. Accounting for this heterogeneity can improve predictions of urban forest function and inform climate-resilient species selection and management. Plain Language SummaryStreet trees within the same city do not all leaf out in spring or lose their leaves in fall at the same time. This seasonal timing, called phenology, affects services such as shade and cooling, as well as disservices such as pollen exposure. We studied individual tree phenology and their temperature response in 76 U.S. cities using street-tree records, satellite observations, and local air-temperature data. We asked how much phenology varies within cities, how it responds to neighborhood-scale temperature differences, and whether these responses depend on regional climate. Variation within a city was often as large as variation among cities, especially in fall. Trees in warmer parts of cities generally leafed out earlier and lost their leaves later, often extending the growing season. However, these responses were stronger in cooler and wetter cities and weaker or sometimes reversed in hotter or drier cities. These findings show that urban tree seasonality depends on local temperature, species identity, and regional climate, which should be considered when selecting and managing trees for future cities. Key PointsO_LISubstantial within-city phenological variation is not captured by city-level averages. C_LIO_LIFine-scale temperature shaped phenology and growing-season length, but responses varied across species, cities, and phases. C_LIO_LITemperature sensitivity depended on regional climate, weakening or reversing in hotter or drier cities. C_LI

ecology↗

Pharmacological up-regulation of CALM1 restore endothelial cells in intracranial aneurysm pathogenesis

Subarachnoid hemorrhage (SAH) resulted from intracranial aneurysm (IA) rupture is an especially severe form of stroke. Endothelial dysfunction represents the initiating event of IA pathogenesis. Understanding the role of endothelial cells (ECs) underlying formation of IAs is helpful to seek for pharmaceutical treatment strategy. Based on single-cell RNA sequencing, proteomics, and metabolic analysis, we discovered a change in cell population in IA samples, majorly in ECs and macrophages (MPs). Abnormal ECs exhibit senescence and death in IA samples, which is absent in the control arterial samples. Cross-analysis of multi-omics revealed that CALM1, a calcium detector involved in mechanotransduction, is downregulated in the abnormal ECs. CALM1 knockdown leads to senescence and inhibits the proliferation and maturation of ECs under turbulent flow. Through high-throughput virtual screening, this work identified compound ZC04329651 as a potent CALM1 activator in maintaining the stability of endothelial cell junctions and attenuating cellular senescence. Thus, our findings showed compound ZC04329651 up-regulate the expression of CALM1 to restore ECs, which maybe a promising pharmacological treatment strategy for IAs.

cell biology↗

Recombinant sialylated ApoE2 suppresses ApoE4 and sex-specifically strengthens brain metabolism and cognition in ApoE4 mice

Human APOE4 is the strongest genetic risk factor for late-onset Alzheimers disease (AD), whereas the relatively rare APOE2 confers exceptional protection. This study examines whether recombinant ApoE2 protein can therapeutically leverage this genetic advantage to strengthen aging brains at risk for AD. We produced recombinant human ApoE2 (rhApoE2) using the FreeStyle 293-F system, yielding rhApoE2 with extensive sialylation that closely resembles its natural form in the human brain. In ApoE4-knockin mouse primary neurons, exposure to rhApoE2 induced significant increases in hexokinase 2 expression and decreases in endogenous ApoE4 protein levels. rhApoE2 also protected ApoE4 neurons from oligomeric amyloid-{beta} toxicity and oxidative stress. We further developed a cadherin-derived peptide (ADTC5) that transiently increases paracellular porosity of the blood-brain barrier, enabling safe, non-invasive delivery of rhApoE2 into the mouse brain. When co-administered with ADTC5, weekly intravenous doses of rhApoE2 for 4-8 weeks in middle-aged and aged ApoE4 mice enhanced synaptosomal glycolytic and exocytotic activities, promoted cortical lipid metabolic dynamics and DHA utilization, and improved learning and memory, with sex differences observed in some outcomes. These findings offer preliminary evidence supporting the therapeutic potential of human brain-like rhApoE2 sialoprotein, which enhances metabolic robustness and cognitive strength in aging ApoE4 brains, possibly modulated by sex.

neuroscience↗

Clusterin regulates microglial inflammation and cognitive function independent of amyloid pathology in Alzheimer's disease

Clusterin (CLU) is a major genetic risk factor for late-onset Alzheimers disease (AD), yet the mechanism underlying this risk remains unclear. This study investigated the role of CLU in regulating microglial inflammation, amyloid pathology, and cognitive function in CLU-deficient and AD models. CLU synthesis and secretion in microglia were highly dynamic, with minimal expression at rest but markedly increased expression upon pro-inflammatory stimulation. CLU deficiency amplified microglial activation and inflammatory responses, whereas introducing recombinant CLU protein reduced microglial inflammation. In a human mutant APP knock-in AD mouse model, loss of CLU impaired learning and memory despite a reduced amyloid burden. snRNA-seq analysis further revealed that CLU loss disrupted the balance between excitatory and inhibitory neurons. These findings provide novel insights indicating that CLU likely functions as a negative feedback regulator of microglial activation and inflammation, thereby promoting microglial resolution and neuronal homeostasis, and consequently, cognitive outcomes independent of amyloid pathology.

neuroscience↗

An injury-responsive bHLH is required for regenerative responses following mechanical injury in adult Schistosoma mansoni

Adult schistosomes can survive for decades in the hostile niche of the host vasculature, yet the mechanisms that support tissue repair and resilience remain poorly understood. Here, we show that both mechanical and chemical injury trigger robust proliferative responses in adult parasites and display distinct spatial patterns. We identify a bHLH transcription factor that responds specifically to mechanical injury and is required for injury-induced stem cell proliferation and parenchymal cell renewal. Downstream, we find a WD40 repeat-containing protein that acts within a subset of stem cells to mediate this regenerative program. Together these findings detail an injury-responsive regenerative program in schistosomes that supports both their longevity and resilience in vivo.

developmental biology↗

Home is Where the Heterogeneity Is: Housing Facility-level Differences in the Gut Microbiome and Metabolic Phenotype Confound Arsenic Effects on Glucose Homeostasis in Male Mice

Inorganic arsenic (iAs) exposure is linked to impaired glucose homeostasis and type 2 diabetes, yet the magnitude and direction of reported effects vary substantially across studies and populations. The gut microbiome is both a target and a mediator of arsenic toxicity, suggesting that pre-exposure community composition may modulate the development of metabolic dysfunction. To test this, we conducted parallel 50 ppm iAs drinking-water exposures in male C57BL/6J mice at two animal facilities. Results were compared across facilities for metabolic phenotypes, hepatic arsenic levels, targeted and untargeted metabolomics, and shotgun metagenomics. Hepatic arsenic confirmed comparable exposure at both sites; however, the housing facility explained more variance than the iAs treatment group across every data layer. Baseline microbial communities and metabolic phenotypes at each institution differed, and this difference propagated into the iAs treatment effect. Critically, iAs exposure impaired glucose clearance at one site while trending toward improvement at the other. Facility explained 19 to 26% of variance in microbiome, bile acid, polar, and untargeted metabolite ordinations, while iAs treatment did not reach significance. A random forest classifier identified the facility with 96% cross-validated accuracy from 22 microbial species, whereas treatment classification did not exceed 67% accuracy. Functional metagenomic analyses revealed nearly 11,733 (63%) of genes were differentially abundant between facilities compared 139 with iAs treatment. Our results indicate that identical genetics and exposure may produce differential metabolic outcomes on different microbial backgrounds. Characterizing the baseline microbiome and metabolome is therefore critical both for identifying which individuals are most susceptible to the metabolic effects of arsenic exposure and for potentially reducing the risk of exposure through modulation of the gut microbiome.

microbiology↗

MetaClaw: an auditable AI agent for end-to-end, multi-directional metagenomic and multi-omics analysis

End-to-end omics analysis requires more than selecting tools: a usable agent must bind data correctly, execute long workflows without blocking, preserve provenance and recover the biological conclusions that motivate an analysis. Existing LLM-driven bioinformatics agents automate parts of this process, but their operational dependencies and conclusion-level validity are often unclear. Here we present MetaClaw, an auditable agent that maps a user request to a registered workflow, executes standardized upstream processing on FlowHub, and runs study-specific downstream analyses in network-isolated OpenClaw containers. A YAML registry and an explicit plan-submit-poll-finalise lifecycle record file bindings, parameters, scripts, environments and outputs in per-job bundles. Across the full cohorts of four published studies (769 metagenomic profiles), MetaClaw recovered 4/4 sorghum marker groups, 3/3 RRMS features, 4/5 canonical CRC markers among the top 20 classifier features and 5/5 permafrost marker groups. In 45 model-by-prompt runs, upstream completion was consistent whereas downstream validity depended on the backend and instruction detail; three decoy-tested endpoints showed no significant differences. In 48 ablation sessions, removing the registry, planning loop or manifest caused distinct losses, with registry removal increasing time, tool calls and token cost. MetaClaw therefore connects standardized upstream execution, local analytical flexibility and conclusion-level validation in a rerunnable framework for metagenomic and microbiome multi-omics analysis.

bioinformatics↗

Structural basis of nick translation in human DNA replication

Nick translation during Okazaki fragment maturation requires iterative coordination of DNA polymerase delta (Pol {delta}), which displaces the downstream primer, and flap endonuclease FEN1, which cleaves the resulting flap, on the sliding clamp PCNA. The structural basis of this coordination is unknown. We present cryo-EM structures of human Pol {delta}-PCNA, Pol {delta}-PCNA-FEN1 and FEN1-PCNA on flap DNA, capturing four states of the nick translation cycle. Pol {delta} strand displacement emerges from structural elements intrinsic to the B-family fold rather than dedicated separation machinery, with a conserved palm loop acting as separation wedge and PCNA engagement required for melting of the downstream duplex. In the Pol {delta}-PCNA-FEN1 toolbelt, FEN1 is pre-positioned opposite Pol {delta} on PCNA to receive the substrate. Nucleotide removal triggers DNA handoff while both enzymes remain clamp-bound, followed by Pol {delta} dissociation. A post-handoff structure reveals stable DNA retention by FEN1-PCNA after flap cleavage, explaining the slow nick translation kinetics and the obligate role of Ligase 1 in sealing.

biophysics↗

Influence of Primary Coordination Sphere on Anion Rebound Selectivity in Nonheme Fe Enzyme-Catalyzed C(sp3)-H Functionalization: A Comparative Experimental and Computational Study of EgtB and ACCO

Developing enzymatic mechanisms for C-F bond formation remains a long-standing challenge. Here, we repurposed the biosynthetic nonheme Fe enzyme EgtB, which features a three-histidine facial triad, to catalyze C(sp3)-H fluorination reactions. Directed evolution of EgtB afforded two new-to-nature fluorine atom transferases with opposite enantiopreference, EgtBCHF1 and EgtBCHF2, with up to 28-fold improved total activity. In contrast to our previously evolved nonheme Fe fluorine atom transfer biocatalyst ACCOCHF, which contains a two-histidine-one-carboxylate facial triad, the evolved EgtBCHF variants displayed unexpected hydroxylation activity. 18O-labeling experiments showed that the hydroxy group originated from water rather than residual O2. Computational studies suggested that the three-histidine-supported Fe(III) center exhibits enhanced Lewis acidity compared to the two-histidine-one-carboxylate system, allowing deprotonation of Fe(III)-bound water to form a Fe(III)-OH species to catalyze radical hydroxylation. Primary coordination-sphere mutagenesis in EgtB and ACCO further supported the critical role of Fe coordination chemistry in controlling radical rebound reactivity and selectivity. Computational studies revealed that Fe coordination chemistry strongly influences both fluorine atom abstraction and radical rebound, with the intrinsic C-X (X = F, OH, and N3) bond forming radical rebound preference following the order N3 > OH > F. Furthermore, multivariate linear regression analysis revealed that fluorine atom abstraction is primarily governed by the intrinsic Fe-F bond strength, whereas fluorine rebound is predominantly controlled by the electronic structure of the Fe(III) intermediate. Together, these findings provide mechanistic insights into nonheme Fe enzymology and reprogramming toward selective radical rebound reactions, including challenging C-H fluorination. Table of Contents (TOC) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/737789v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@143b503org.highwire.dtl.DTLVardef@2102aaorg.highwire.dtl.DTLVardef@135e7fdorg.highwire.dtl.DTLVardef@11b68a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

OCellus: A Language-Model Framework for Single-Cell, Spatial, and Perturbation Biology with Natural-Language Reasoning

Computational modeling of cellular behavior--the virtual cell--has emerged as a stated grand challenge at the intersection of artificial intelligence and biology, yet existing foundation models remain specialized: single-cell models process dissociated transcriptomes only, spatial models require dedicated spatial-aware architectures, and perturbation predictors depend on manually curated knowledge bases that cap generalization. Here we introduce OCellus, a single nine-billion-parameter language model (Qwen3.5-9B) fine-tuned on twenty-two biological tasks that simultaneously addresses all three limitations through three coordinated technical contributions on a shared backbone. First, EvenClock encodes two-dimensional spatial coordinates as eighteen clockface sectors of text, enabling spatial reasoning on a vanilla language model without architectural modification; on ten spatial transcriptomics tasks OCellus attains 77 percent spatial-neighborhood accuracy, 96 percent spatial-cellchat accuracy, and 0.70 proportion-cosine similarity on spatial deconvolution, all without any spatial-aware architectural components. Second, per-gene language-model embeddings replace the Gene Ontology annotations that GEARS depends on, achieving Pearson correlation 0.945 on the Replogle 2022 perturbation benchmark versus 0.84 for GEARS across 457 completely unseen knockout genes. Third, OCellus-Agent provides a Planner-Router-Verifier natural-language interface that achieves 75 percent pipeline accuracy on eighty multi-task queries. Removing language-model embeddings collapses perturbation Pearson to 0.06, confirming that learned functional representations--not graph topology--drive the gain. As a cell-type encoder, OCellus ranks first among fourteen foundation models in linear-probe accuracy at 95.1 percent across four benchmark datasets, and reaches 72.6 percent average across twenty-two evaluated biological tasks--a 57-percentage-point absolute gain over the strongest baseline configuration. As a language model, OCellus uniquely generates natural-language explanations of its predictions, a capability absent from all competing methods. Code, pre-trained model weights, the graph-neural-network module, and the agent system will be made available upon publication.

bioinformatics↗

Chromosome-level genome assembly of Calotes wangi with dynamic colour variation

The Wangs garden lizard, Calotes wangi, is a widely distributed agamid species in Southern China and Northern Vietnam and exhibits pronounced colour variation and rapid body colour change. Despite increasing interest in the genomic basis of colour variation, chromosome-level genomic resources remain limited in agamid lizards. Here, we generated a chromosome-level reference genome of C. wangi using PacBio HiFi sequencing and Hi-C scaffolding. The final genome assembly was approximately 1.66 Gb in size and comprised 6 macrochromosomes and 11 microchromosomes, with a contig N50 of 110.09 Mb and 98.9% complete BUSCO genes. A total of 20,442 protein-coding genes were annotated. Comparative genomic analyses identified 297 significantly expanded gene families, with enriched functions associated with steroid metabolism, chromatin regulation, and epigenetic processes. This high-quality genome assembly provides an important genomic resource for future studies of colour variation, phenotypic plasticity, and evolutionary diversification in agamid lizards.

evolutionary biology↗

AI-enabled Spatial Profiling of Circulating Tumor-Immune Ecosystems Predicts Patient Outcomes Across Cancers

Circulating tumor cells (CTCs) and immune cells form dynamic multicellular ecosystems in blood, but their spatial organization and clinical relevance have not been systematically characterized. We developed the Cell and Cluster Identification Program (CCIP), an artificial intelligence-based framework that analyzes routine multiplex immunofluorescence blood scans to segment cells, identify CTCs and five immune lineages with high accuracy, and quantify multicellular clusters and tumor-immune interactions. Applying CCIP to 2,693 blood scans from 1,399 patients, we profiled over 60 million cells (>7 million multi-cell clusters) and linked imaging-derived features to patient outcomes. Correlated with circulating-tumor DNA mutation burdens, a 14-feature image model predicted overall survival in breast cancer, outperformed clinicopathologic variables and CTC enumeration, and generalized to prostate cancer. Prognostic imaging signatures were also associated with therapy response-related progression-free survival as well as with single-cell RNA sequencing-derived immune suppression states, connecting circulating tumor-immune architecture with systemic immune dysfunction.

cancer biology↗

Hepatitis B virus protein X promotes hepatocyte plasticity and survival in a differentiated human liver organoid system

Background & AimsHepatitis B virus (HBV) drives hepatocellular carcinoma in part through the activity of its X protein (HBx), yet the mechanisms by which HBx alters hepatocyte function remain incompletely understood. Progress has been limited by the lack of relevant human models that support controlled HBx expression in mature hepatocytes. Here, we use an improved hepatocyte-like organoid (HLO) platform that supports enhanced hepatocyte maturation to investigate HBx function in a differentiated hepatocyte context. MethodsAdult stem cell-derived HLOs were differentiated using an optimized protocol to generate hepatocyte-like cells with enhanced maturation and transcriptional similarity to primary liver tissue. HBx function was interrogated using both cognate promoter-driven expression and doxycycline-inducible systems across multiple donor-derived organoid lines. Transcriptomic, pathway, and single-cell imaging analyses were performed to assess the impact of HBx expression on hepatocytes. ResultsHBx expression consistently suppressed apoptosis-associated transcripts and reduced expression of core hepatocyte identity genes, including CYP3A4. Pathway analysis revealed downregulation of liver-specific functions, including metabolism, detoxification, complement, and coagulation. At the single-cell level, higher HBx expression was associated with reduced caspase 3/7 activation following apoptotic challenge and decreased hepatocyte marker expression. Functionally, HBx expression increased resistance to apoptosis and enhanced the ability of differentiated hepatocyte-like cells to revert to a proliferative, less differentiated state. ConclusionsHBx expression in differentiated human liver organoids reduces apoptosis and impairs hepatocyte identity, consistently across donors and expression systems. These findings support a model in which HBx promotes a survival-permissive less differentiated state that may contribute to early HBV-driven tumorigenesis. This HLO platform provides a relevant system to dissect HBV-host interactions and reveals a mechanism by which HBV may prime the liver for malignant transformation. Impact and implicationsUnderstanding how HBV promotes hepatocellular carcinoma remains a critical challenge, partly due to the lack of physiologically relevant human derived model systems to study HBx function. Using a differentiated adult human liver organoid system, we show that HBx simultaneously suppresses apoptosis and disrupts hepatocyte identity, providing a mechanistic framework for how HBV may prime hepatocytes for malignant transformation. These findings are particularly relevant for researchers studying HBV pathogenesis and liver cancer, as well as for clinicians aiming to better understand early disease progression. While further validation in more complex multicellular systems is needed, this platform can support the identification of HBx-targeted therapeutic strategies and guide the development of improved adult human derived models for virus-host interaction studies.

cell biology↗

Transcriptional Markers of Organic Substrate Utilization in a Marine Bacterium

Marine dissolved organic carbon is a chemically complex substrate pool that fuels heterotrophic bacteria, yet it remains difficult to determine which compounds are used by specific microbes. Bacterial transcriptomes offer a potential biosensor of substrate availability, but the reliability of this approach in chemically mixed substrates remains uncertain. Here, we evaluated the reliability of this transcriptional sensor approach using the model marine bacterium Ruegeria pomeroyi DSS-3 grown on either glucose or a defined mixture containing glycerol, benzoate, succinate, leucine, dimethylsulfoniopropionate, and trimethylamine N-oxide. Genome-wide transcription differed strongly between treatments, with the mixed-substrate treatment enriched in genes associated with C1 metabolism, sulfur oxidation, benzoate degradation, and motility. Across substrates, the most diagnostic transcriptional responses occurred at pathway entry points and first committed reactions, including glucose transport and Entner-Doudoroff metabolism, trimethylamine N-oxide transport and catabolism, and early steps of aerobic benzoate oxidation. In contrast, downstream metabolic genes were less substrate-specific, likely because multiple pathways converged on shared central metabolic intermediates. Transporter transcription was also less consistently diagnostic than expected, although substrate-binding subunits often showed the strongest responses within transporter complexes. Comparisons with previous single-substrate studies indicated that some transcriptional markers, particularly benzoate oxidation genes, remained detectable in the substrate mixture, whereas glycerol and succinate responses were weakened or lost. These findings show that transcriptomics can provide useful insight into bacterial substrate use, but interpretation is most robust when focused on experimentally validated transporters and early pathway genes, and when evaluated in the context of pathway connectivity, cellular physiology, and substrate mixture complexity. IMPORTANCEMicrobes help control how carbon moves through the ocean, but it is often difficult to determine which organic compounds individual bacteria are using. This study tested whether gene expression in the marine bacterium Ruegeria pomeroyi can be used to identify the types of carbon compounds available in its environment. We found that some genes, especially those involved in initial steps of substrate use, provided clear signals of which compounds were present. However, these signals became harder to interpret when the bacterium was exposed to a mixture of compounds rather than a single substrate. We also found that some gene responses reflected broader physiological or behavioral changes rather than direct use of a specific compound. These results show both the promise and limits of using bacterial gene expression as a biosensor of marine carbon chemistry, and they help identify the kinds of genes most useful for interpreting complex environmental transcriptomic data.

microbiology↗

Identification and molecular characterization of a novel TYLCV isolate breaking bred-resistance to threaten tomato cultivar

Tomato yellow leaf curl virus (TYLCV) is a devastating viral pathogen threatening agricultural crops globally. In this study, we identified a novel TYLCV isolate (TYLCV-YN6244), which caused viral epidemic in resistant tomato cultivars at Yuanmo county, Yunnan Province of China. We determined the complete genome of TYLCV-YN6244 and found it encoded six viral proteins characteristic of Geminivirus. We identified its V2 protein as a potent viral suppressor of RNA silencing (VSR), and generated infectious clone of wildtype TYLCV-YN6244, or V2-defective TYLCV-YN6244 (TYLCV-YN6244-{Delta}V2) in which V2 was deleted. Both of infectious clones were capable of systemically infecting tobacco and tomato. However, TYLCV-YN6244 but not TYLCV-YN6244-{Delta}V2 could cause disease symptoms in wildtype tobacco or tomato plants, and viral accumulation was drastically reduced in plants infected with TYLCV-YN6244-{Delta}V2 compared to TYLCV-YN6244 while the efficiency of virus-derived small interfering RNAs (vsiRNAs) biogenesis was conversely increased in plants infected with TYLCV-YN6244-{Delta}V2. Surprisingly, small RNA profiling indicated that 21nt and 22nt rather than 24nt vsiRNAs were predominantly produced in tomato plants infected with either TYLCV-YN6244 or TYLCV-YN6244-{Delta}V2. Furthermore, transcriptome analyses revealed that TYLCV-YN6244 or TYLCV-YN6244-{Delta}V2 infection differentially modulated metabolism and defense-related pathways in tomato, probably underlying distinct viral pathogenicity and disease symptoms induced in plants. Overall, our research not only identified a novel pathogenic TYLCV isolate but also characterized molecular biology and host response in tomato with infectious clones firstly developed, with implications in untangling virus-host interaction for developing novel resistance in crop tomato.

Plant Biology↗

A U1-U3 snRNA-snoRNA interaction couples SF3B1 mutation to chromatin-state rewiring and genome instability

Mutations in spliceosome factors such as SF3B1 are recurrent across human diseases, including myelodysplastic syndromes and leukemia1-4, yet splicing defects alone do not fully explain the widespread chromatin alterations and genome instability in mutant cells5. Here, by comprehensively mapping snRNA-directed RNA-RNA interactions, we identify two previously unrecognized interaction motifs in U1 snRNA beyond canonical 5' splice-site pairing6,7. These motifs enable U1 RNA to i) bind intronic and other chromatin-associated RNA (caRNA) regions outside of splice sites, and ii) base pair specifically with snoRNA. We uncover a U1-U3 snRNA-snoRNA interaction that recruits the H3K36 methyltransferase SETD2 to caRNA, promoting gene-body H3K36me3 and antagonizing H3K27me3 to modulate chromatin accessibility. The snRNA-snoRNA interface is essential for this previously unrecognized layer of chromatin and transcriptional regulation mediated through SETD2. SF3B1 mutation enhances U1-U3 binding and increases the association of the U1-U3 complex with caRNA, driving chromatin-accessibility remolding, R-loop formation, DNA damage, and copy-number abnormalities that promote tumorigenesis. A U1-specific 2'-O-methoxyethyl antisense oligonucleotide that selectively blocks U1-U3 pairing suppresses these genomic abnormalities, reduces leukemic infiltration, and prolongs survival in xenograft and patient-derived models, establishing pathological snRNA-snoRNA rewiring as a critical driver of SF3B1-mutant leukemogenesis.

cell biology↗

Reduced Myocardial Serine Synthesis Impairs Functional, Metabolic, and Redox Adaptations to Cardiac Stress

BackgroundImpaired myocardial metabolism is a defining feature of heart failure, but many defective pathways and mechanisms remain to be identified. Prior studies find phosphoglycerate kinase and its synthesized product 3-phospho-glycerate required for the serine synthetic pathway (SSP) are reduced in human HFpEF myocardium. As serine is also provided exogenously, the impact of SSP reduction is uncertain. Here, we tested if and how SSP decline coupled to phosphoglycerate dehydrogenase (PHGDH) impacts cardiomyocyte (CM) and whole heart metabolic remodeling and stress responses. MethodsStudies were performed in isolated CMs and mice with CM-selective knock-down of PHGDH. Using pharmacological inhibition or genetic silencing of PHGDH, we tested their impact on CM one-carbon metabolism pathways, cell hypertrophic responses, mitochondrial respiration, and in vivo functional, structural, and metabolic adaptations to pressure-overload stress. ResultsIn CMs, PHGDH inhibition caused dose-dependent serine depletion linearly coupled with cytotoxicity, accompanied by NAD/NADH and GSH/GSSG imbalance, reduced ATP, and disruption of one-carbon and nucleotide metabolites. Stable-isotope tracing revealed distinct metabolic fates of glucose-derived (SSP) versus exogenous serine. Exogenous serine did not rescue PHGDH-deficient CMs, whereas combined ribose and an anti-oxidant (DTT) attenuated injury and reduced nucleotide pools. PHGDH suppression reduced amino acid abundance, impaired nascent protein synthesis, and blunted endothelin-1-induced hypertrophic and mitochondrial respiration. In vivo, cardiomyocyte-specific PHGDH heterozygous mice (PHGDH+/-) had no basal phenotype, but amplified chamber dilation, dysfunction, fibrosis, and mortality 4 weeks after transverse aortic constriction (TAC). Corresponding increases in amino acids, one-carbon metabolites, nucleotides, and TCA-cycle intermediates in wild-type TAC hearts were significantly blunted in PHGDH+/- hearts. ConclusionsCardiomyocyte SSP is a critical regulator of redox balance, one-carbon metabolism, purine synthesis, amino acid homeostasis, and growth-related pathways required for cardiac adaptation to pressure overload. It is non-redundant with exogenous serine by providing distinct influences on key metabolic pathways and is a potential therapeutic target.

molecular biology↗