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Biology subjects

Zhao, Q.

Publications and source records attributed to Zhao, Q..

At least 55 records · Page 3Linked to original sources

Engineering chimeric DNA polymerases for DNA movable type storage

DNA-based information storage offers a promising alternative to conventional media due to its high density, long-term stability, and low energy requirements. However, its application remains hindered by synthesis costs, limited sequence length and poor scalability. DNA polymerase is a critical enzymatic tool in the DNA storage systems by enabling high-fidelity data writing and targeted sequence amplification. In this study, we engineered chimeric DNA polymerases by fusing the high-fidelity 9{degrees}N DNA polymerase with double-stranded DNA binding proteins derived from thermophilic archaea. These fusions significantly enhanced processivity, thermal stability, and salt tolerance by stabilizing enzyme-template interactions, mimicking sliding clamps while preserving catalytic efficiency. Leveraging these properties, we demonstrated precise file retrieval from a mixed oligonucleotide pool using orthogonal barcode primers. Compared with wild-type 9{degrees}N, the chimeric polymerases, particularly PLS, exhibited reduced substitution error rates and improved read accuracy. We then applied these enzymes to a DNA movable type storage system, where prefabricated DNA modules were assembled into encoding blocks. Using engineered polymerases, these blocks were recombined to enable flexible data rewriting without de novo DNA synthesis. Moreover, a multi-enzyme assembly strategy enabled the construction of kilobase-scale DNA sequences encoding a classical Chinese poem, achieving complete data recovery. All assembled fragments remained stable in E. coli over 100 generations, exhibiting the potential for in vivo storage. Collectively, our findings demonstrated the role of engineered DNA polymerases for DNA-based information storage. Moreover, this system reduced synthesis demands, supported scalable rewriting, and ensured long-term preservation, offering a practical route to sustainable, high-fidelity DNA data storage.

synthetic biology↗

Histopathology and spatial transcriptomics jointly map myofiber-specific pathological programs in mTORC1-driven myopathy

Skeletal muscle is a structurally organized and functionally diverse organ composed of heterogeneous myofiber types and supporting non-myocyte populations that act in concert to generate force, regulate metabolism, and maintain systemic homeostasis. Myopathies occur in many different diseases, but the mechanisms that drive these muscle pathologies are still largely unknown, partly because conventional approaches cannot link histopathological features to molecular states at single-fiber resolution. To address this challenge, we brought histopathology and spatial transcriptomics together by applying high-resolution Seq-Scope technology to a rodent model of mTORC1 hyperactivation, which produces diverse pathological alterations within individual myofibers. Cross-sections from extensor digitorum longus (EDL) and soleus (SOL), two muscles with distinct fiber-type compositions, were profiled to determine how transcriptome changes are linked to histopathological outcomes. Our analyses reveal that mTORC1 hyperactivation elicits distinct, fiber-type-dependent pathological programs. Type I and IIa fibers, abundant in SOL but scarce in EDL, were largely resistant to mTORC1-induced pathology, exhibiting only minimal morphological alterations and no fiber type-specific responses beyond those commonly observed throughout the tissue. In contrast, type IIx fibers, shared between both muscles, diverged into opposing fates: in SOL, they underwent abnormal enlargement driven by sustained growth signaling, cytoskeletal remodeling, and impaired proteostasis with defective autophagy; whereas in EDL, they developed basophilia characterized by lipid-supported respiration fueling excessive ribonucleotide synthesis and RNA accumulation. Within the same muscle, type IIb fibers displayed striking heterogeneity with discrete transcriptional states encompassing canonical stress responses, oxidative metabolic activation, and developmental reprogramming. In parallel, non-myocytic populations, including activated macrophages and fibroblasts, accumulated preferentially in SOL, forming a fibrotic microenvironment supporting inflammation, tissue remodeling and hypertrophy. Taken together, these findings reveal that sustained mTORC1 signaling disrupts muscle homeostasis through distinct metabolic and structural routes, directly linking histopathological phenotypes to their molecular states at single-fiber resolution.

pathology↗

Unraveling single-molecule reactions via multiplexed in-situ DNA sequencing

DNA sequence regulates complex reactions and protein-DNA interactions, yet sequence effects remain poorly understood due to the lack of direct, high-throughput approaches to study sequence-dependence at the single-molecule level. Here, we introduce Single-molecule Phenotyping and In-Situ Sequencing (SPIN-Seq), a DNA-based, protein-free method that links functional and structural properties of a single DNA molecule with the sequence of that same molecule. After performing functional assays on immobilized DNA molecules, SPIN-Seq uses sequencing-by-transient-hybridization on the same surface and instrument to read sequences in each immobilized DNA molecule, directly linking phenotype and genotype. Applying SPIN-Seq, we dissected the interaction of a transcription factor with its target sequence, and revealed the sequence-dependence of RNA polymerase pausing and reaction-path branching during initial transcription. Our method provides powerful, systematic ways to understand complex molecular mechanisms and their sequence dependence.

biophysics↗

Transcriptomic insights into developmental toxicity of per- and poly-fluoroalkyl substances (PFAS) in Caenorhabditis elegans: The potential key role of xenobiotic detoxification pathway

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants known to induce developmental toxicity across multiple species, yet the molecular mechanisms are still not fully understood. This study aims to evaluate the developmental toxicity of four long-chain legacy PFAS (PFOA, PFOS, PFNA, PFDA) and one short-chain alternative (PFBA) at environmentally relevant concentrations (1-5 M) using the model organism Caenorhabditis elegans, with a focus on elucidating the underlying molecular mechanisms. Phenotypic analysis indicated that PFDA and PFOS significantly delayed development of worms, and reduced the number of fertilized eggs in the uterus. RNA-seq and subsequent bioinformatic analysis revealed strong impacts of PFDA and PFOS on physiological age. A core set of xenobiotic detoxification genes (e.g., cyp-13A4, cyp-13A6, and cyp-13A7), which were found to be primarily regulated by nuclear hormone receptors (NHR-102, NHR-85, NHR-28), showed consistent up-regulation upon PFAS exposure. Gene co-expression network analysis (WGCNA) further linked this detoxification gene signature to developmental impairment. Cross-species comparison using public databases identified several evolutionarily conserved detoxification genes that are associated with PFAS-induced developmental toxicity, among which CYP3A4 and its orthologs appear to be emerging biomarkers of PFAS exposure. Our findings demonstrate that activation of conserved xenobiotic detoxification pathways is a central transcriptomic signature of PFAS exposure, providing mechanistic insights into the structure-dependent developmental toxicity of this kind of pervasive pollutant. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=97 SRC="FIGDIR/small/689658v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@c50b2borg.highwire.dtl.DTLVardef@605b6dorg.highwire.dtl.DTLVardef@125fa8org.highwire.dtl.DTLVardef@464d34_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract C_FIG

pharmacology and toxicology↗

An AI-driven approach for nanobody affinity maturation

B7-H3 (CD276), an immunoregulatory checkpoint molecule overexpressed in numerous cancers, is a promising therapeutic target. Nanobodies possess unique advantages for targeting B7-H3, such as small size, high stability, and the ability to bind cryptic epitopes. However, the rational affinity maturation of these nanobodies is challenging, especially in the absence of detailed structural data on antigen-antibody interactions. Here, we present a computational strategy that leverages artificial intelligence (AI) and molecular modeling, including homology modeling, molecular docking, and free-energy calculations--to systematically predict affinity-enhancing mutations for humanized anti-B7-H3 nanobodies. This AI-driven framework provides a powerful and cost-effective pipeline for accelerating the development of high-affinity nanobody therapeutics prior to experimental validation.

immunology↗

PyrMol: A Knowledge-Structured Pyramid Graph Framework forGeneralizable Molecular Property Prediction

Expert pharmaceutical chemists interpret molecular structures through a sophisticated cognitive hierarchy, transitioning from local functional moieties to spatial pharmacophores and, ultimately, to macroscopic pharmacological and physicochemical profiles. However, conventional Graph Neural Networks frequently overlook this high-level chemical intuition by treating molecules as single-scale atomic topology. To bridge this gap between human expertise and computational inference, we propose PyrMol, a knowledge-structured pyramid representation learning framework. By constructing heterogeneous hierarchical graphs, PyrMol orchestrates information flow across atomic, subgraph, and molecular levels. Crucially, the subgraph level systematically integrates three complementary expert views comprising functional groups, pharmacophores, and retrosynthetic fragments. To harmonize these explicit domain priors with implicit computational semantics, we introduce an adaptive Multi-source Knowledge Enhancement and Fusion module that dynamically balances their complementarity and redundancy. A Hierarchical Contrastive Learning strategy further ensures cross-scale semantic consistency. Empirical evaluations across ten benchmark datasets demonstrate that PyrMol outperforms 11 state-of-the-art baselines. Furthermore, its "plug-and-play" versatility provides a framework-agnostic performance boost for existing GNN architectures. PyrMol thus establishes a principled data-knowledge dual-driven paradigm for AI-aided Drug Discovery, effectively leveraging domain knowledge to catalyze advances in molecular property prediction.

bioinformatics↗

Pan-cancer analysis reveals that tumor microbiomes generate specific epitopes through transcriptional reprogramming

The therapeutic promise of tumor microbial peptides faces a critical safety paradox: tumors and peritumor tissues harbor compositionally similar microbiomes, yet safe immunotherapy demands tumor-specific targeting. We performed comprehensive transcriptomic analysis of microbial communities from 1,868 tumor and peritumor samples across 11 cancer types. Although 88.5% of microbial species are present in both tissue types, tumor and peritumor tissues exhibit profound transcriptional divergence: only 34.1% of microbial genes are expressed in both tissue types, and merely 18.2% of predicted HLA-binding peptides overlap. This transcriptional divergence represents microbial transcriptional reprogramming (MTR) in tumor tissues, through which microbes activate distinct genomic regions while adapting to tumor microenvironmental pressures, thereby generating tumor-specific peptide repertoires. Using Microbial Transcriptional Reprogramming Index (MiTRI) to quantify MTR, we found that higher MiTRI values correlate with expanded immunogenic peptide repertoires. Mass spectrometry-based immunopeptidomics confirmed that 25% of naturally presented microbial peptides originate from MTR regions. Crucially, in microsatellite-stable colorectal cancer, neo-adjuvant therapy responders exhibited significantly higher MiTRI values. T cell receptors (TCRs) recognized MTR-derived epitopes at 2.10-fold higher rates than genome-wide epitopes, accounting for 79.1% of clonally expanded TCRs. These findings establish MTR as the principle that ensures the tumor-specificity and safety of micorbiome-directed immunotherapy.

cancer biology↗

Lysine-R2HGylation identified as a post-translational modification in R2HG-elevated cancers

R-2-Hydroxyglutarate (R2HG), an oncometabolite predominantly produced by mutated isocitrate dehydrogenase 1/2 (IDH1/2) in various cancers, is known to drive cancer progression through noncovalent inhibition of -ketoglutarate (KG)-dependent enzymes. In this work, we propose an alternative mechanism wherein R2HG contributes to cancer development via covalent modification of biologically critical lysines, a process termed lysine-R2HGylation (KR2HG). We designed and synthesized R2HG-mimicking probes, demonstrating their effectiveness in facilitating KR2HG target profiling and site mapping. We identified KR2HG as a previously unrecognized post-translational modification, confirmed its C5-linkage on GSTP1(K209), and demonstrated that SIRT5 functions as a deacylase for GSTP1-KR2HG in vitro. Furthermore, we found that R2HG slightly but significantly inhibits the enzymatic activity of GSTP1 through KR2HG and dramatically suppresses monocyte differentiation via this catalytically important lysine modification. Our findings provide an alternative perspective on the role of R2HG in leukemia progression and offer a practical tool for the clinical investigation of R2HG-elevated cancers.

molecular biology↗

metaAPA: a tool for integration of PolyA site predictions from single-cell and spatial transcriptomics

MotivationSingle-cell 3-tagging sequencing, such as that provided by 10x Genomics, can be utilized to study alternative polyadenylation (APA). APA can affect RNA function, stability, and subcellular localization, thereby influencing development and disease processes. Currently, computational tools based on various algorithms, such as Sierra, polyApipe, and SCAPE, have been developed to infer polyA site positions from scRNA-seq data. However, these methods exhibit significant differences in the number of predicted sites and positional inconsistencies in the sites identified for the same gene, leading to divergent conclusions when analyzing the same data with different tools. ResultsWe designed two strategies to integrate the outputs of alternative APA tools, enabling users to select appropriate polyA site sets based on their specific needs. Our method can be used to extract high confidence sites, supported by all methods, as well as putative sites supported by a subset of methods. We find that methods with high sensitivity for detecting APA sites can be usefully augmented by methods with higher positional accuracy but lower sensitivity. We show that our method obtains the expected number of high-confidence sites and that these sites exhibit the expected biological sequence characteristics. Availability and Implementationhttps://github.com/ManchesterBioinference/metaAPA Contactqian.zhao@manchester.ac.uk; magnus.rattray@manchester.ac.uk

bioinformatics↗

A mobile circular DNA element drives memory-related processes in mice

Extrachromosomal circular DNAs (ecDNAs) are double stranded, closed loop DNA molecules that act independently of the genome. Here we report the discovery of a brain-enriched ecDNA, ecCldn34d, that regulates the transcriptional state of plasticity-related genes and is temporally associated with the stability of fear memories. ecDNA therefore represents a novel class of mobile DNA elements that are involved in experience-dependent neuroadaptation.

neuroscience↗

Local translation of circular RNAs is required for synaptic activity and memory

Circular RNAs (circRNAs) are enriched in synapses and implicated in cognitive processes, and recent studies have shown that circRNAs can encode micropeptides, which suggests that there may be novel synaptic proteoforms in the brain that await discovery. Here we report widespread learning-induced local circRNA translation in the prefrontal cortex of male C57BL/6 mice. More than 1500 synapse-enriched circRNAs contain active IRES elements, with 842 interacting with the ribosome and 241 exhibiting direct evidence of activity-induced translation. We discovered a synapse-enriched micropeptide (P1) that is derived from a single exon circRNA, the mRNA host of which encodes an enzyme associated with protein repair. Although P1 is only a third of the size of the full-length protein, it is locally expressed, enzymatically active, and interacts with plasticity-related proteins, including CaMKII. In addition to direct effects on synaptic activity, targeted P1 knockdown impairs whereas its overexpression enhances fear extinction memory. These findings shed new light on the dark proteome in the brain and reveal local circRNA translation as a novel mechanism of plasticity and memory.

neuroscience↗

Chronic Electronic Cigarette Exposure Promotes Atherosclerosis and Chondrogenic Modulation of Smooth Muscle Cells

BackgroundElectronic cigarette (E-cig) use has reached epidemic proportions worldwide, yet its cardiovascular consequences remain poorly defined. While several lines of evidences in human epidemiological and animal studies suggest chronic aerosol exposure accelerates atherosclerosis; the cellular and molecular mechanisms underlying this pathological remain unknown. MethodsWe exposed hyperlipidemic mice to chronic e-cigarette aerosol inhalation and characterized the plaque cellular landscape by coupling SMC lineage tracing with single-cell transcriptomic/epigenomic profiling and histologic phenotyping. We subsequently leveraged human coronary artery smooth muscle cells (HCASMCs) to validate in vivo discovery and identified E-cig specific pathological signaling pathways relevant to human vascular disease risk. ResultsChronic E-cig aerosol exposure accelerated atherosclerosis, increasing both SMC phenotypic modulation and plaque macrophage burden in a lipid-independent manner. Transcriptomically, SMCs are particularly more sensitive to E-cig than other vascular cell types. E-cig exposure reprogrammed SMCs toward a pro-calcifying, chondrogenic phenotype, thereby enhancing vascular ossification in vivo and in HCASMCs in vitro. Mechanistically, E-cig mediated SMC fate alteration occurs through activation of a glutamatergic/NMDAR signaling program, that increased NMDAR-dependent Ca2+ influx in a GRIN2A dependent manner. Notably, inhibition of GRIN2A mediated signaling reversed E-cig-induced pathological shifts in SMC phenotype. ConclusionsSMC chondrogenic reprogramming and subsequent vascular calcification are central to the detrimental cardiovascular consequences of E-cig exposure. Our findings implicate a GRIN2A-dependent glutamatergic/NMDAR signaling axis in SMC as a primary driver of this calcifying remodeling program. These findings define a SMC-specific vulnerability to E-cig aerosols and establish the GRIN2A/NMDAR pathway as potential therapeutic targets for mitigating E-cig-associated cardiovascular disease.

genomics↗

Immune cell de novo steroidogenesis regulates inflammation resolution and recovery in acute lung injury

Effective resolution of inflammation following acute lung infection or injury is critical for restoring immune and tissue homeostasis to ensure functional recovery. Prolonged or unresolved inflammation can impair lung repair, promote fibrosis, and contribute to pulmonary dysfunction. While systemic steroid signalling is known to modulate general immune responses, the specific role of immune cell-mediated steroidogenesis in regulating lung inflammation and repair remains unknown. Here, we show that immune cell de novo steroidogenesis is essential for resolving inflammation and promoting recovery in a murine model of acute lung injury. During the resolution phase, steroid-synthesizing immune cells, predominantly basophils, are enriched in the lung. Mice with immune cell-specific ablation of de novo steroidogenesis exhibit exacerbated lung injury, impaired resolution of inflammation, and defective tissue repair. These findings reveal a previously unrecognized immunoregulatory function of immune cell-derived steroids and identify immune cell steroidogenesis as a potential therapeutic target for promoting resolution and recovery in inflammatory lung diseases.

immunology↗

Zolpidem restores sleep and slows Alzheimer's progression in a mouse model

STRUCTURED ABSTRACTO_ST_ABSINTRODUCTIONC_ST_ABSDeficits in Non-Rapid Eye Movement (NREM) sleep facilitate Alzheimers disease (AD) progression. Enhancing GABAergic signaling can restore sleep. Unbiased computational analysis identified zolpidem as high-affinity GABA receptor modulator facilitating chloride transport that could slow AD. METHODSZolpidems effects on sleep and Alzheimers progression were evaluated in young APP/PS1 mice. Sleep was monitored with EEG/EMG telemetry. Widefield imaging with voltage-sensitive dyes was used to track sleep-dependent brain rhythms. Multiphoton microscopy allowed assessments of amyloid plaque load and basal neuronal calcium levels. Behavioral assays were used to measure memory and cognitive function. RESULTSZolpidem restored NREM sleep and rescued sleep-dependent brain rhythm, slow oscillation. Zolpidem administration reduced cortical amyloid plaque burden, mitigated neuronal calcium overload, and enhanced sleep-dependent memory consolidation without adverse effects on locomotion. DISCUSSIONZolpidem effectively slowed Alzheimers progression in young APP/PS1 mice. This supports zolpidems therapeutic promise as an intervention strategy at early stages of AD.

neuroscience↗

Visual Regularities Underlie Hierarchical Object Representations in the Human Brain and Self-supervised DNN

NeuroAI develops the interplay of neuroscience and artificial intelligence, especially on visual processing. Human visual system organizes objects based on a representational hierarchy. However, it remains unclear whether this hierarchy arises from visual or semantic information. One hypothesis posits that the visual system is structured around statistical regularities of visual information. Here, we test this hypothesis using the THINGS datasets and pure-visual deep neural networks (DNN). We constructed a low-dimensional object space based on multiple abstract object properties, reflecting statistical patterns of visual regularities. By applying voxelwise encoding models, we identified clusters in the higher visual cortex based on their property tuning, and they were found to support specific object categories. These clusters serve as the middle level to reveal a property-cluster-object hierarchical organization. Subsequently, we investigated whether this hierarchical structure could be captured by a self-supervised DNN. Through activity similarity analysis, we mapped the brain clusters onto the DNN and independently found that the DNNs clusters exhibited distinct property tuning and influenced the classification accuracy of corresponding object categories, mirroring the effects observed in the human brain. Our results demonstrate similar hierarchical structures in the human brain and self-supervised DNN, suggesting that the visual regularities shape neural architecture of visual system. This study highlights the great potential of neural computational model in neuroscience study. Index Terms Visual Processing, Abstract Property, Hierarchical Representation, Self-supervised Visual DNN

neuroscience↗

SARS-CoV-2 NSP14 inhibitor exhibits potent antiviral activity and reverses NSP14-driven host modulation

The emergence of SARS-CoV-2 variants and drug-resistant mutants highlights the urgent need for novel antiviral therapeutics. SARS-CoV-2 NSP14, an N7-guanosine methyltransferase, plays a critical role in viral RNA capping, enabling viral replication and immune evasion. While NSP14 has emerged as a promising drug target, its role in host-virus crosstalk and the cellular consequences of NSP14 inhibition remain poorly understood. Here, we present the identification and characterization of C10, a highly potent and selective first-in-class non-nucleoside inhibitor of the NSP14 S-adenosylmethionine (SAM)-binding pocket. C10 demonstrates robust antiviral activity against SARS-CoV-2, including its variants, with EC50 values ranging from 64.03 to 301.9 nM, comparable to the FDA-approved drug remdesivir in our cell-based assays. C10 also exhibits broad-spectrum activity against other betacoronaviruses and inhibits SARS-CoV-2 at the replication stage. C10 suppresses viral translation and exhibits immunostimulatory effect. Additionally, C10 specifically reversed NSP14-mediated alterations in host transcriptome. The antiviral efficacy of C10 was further validated in a transgenic mouse model of SARS-CoV-2 infection. Our findings highlight C10 as a promising candidate for the development of effective treatments against SARS-CoV-2 and its emerging variants. This study also uncovers a novel mechanism of NSP14 in SARS-CoV-2 pathogenesis and its therapeutic potential, providing insights that may extend to other viral capping methyltransferases.

microbiology↗

C9orf72/SMCR8 complex maintains microglial homeostasis via RAB8A-ESCRT-mediated lysosomal repair

Microglia are critical regulators of neuroinflammation and neurodegeneration. Haploinsufficiency of C9orf72, the most common genetic cause of ALS and FTD, has been mainly linked to autophagy-lysosomal pathway defects, but its precise role in microglial lysosomal function remains unclear. Here we identify the C9orf72/SMCR8 complex as a key regulator of microglial homeostasis through lysosomal repair. Loss of C9orf72 and SMCR8 in mice causes age-dependent neuroinflammation and microgliosis, with microglia adopting a disease-associated state. In aged CNS tissue, microglia display lysosomal damage, marked by galectin-3 upregulation and its accumulation on lysosomes. To model this process, we applied the lysosomotropic agent LLOMe to microglia, which recapitulated lysosomal damage and revealed defective recruitment of phosphorylated RAB8A and the ESCRT machinery in C9orf72/SMCR8-deficient cells. Notably, mutant microglia accumulate GTP-bound RAB8A, which becomes aberrantly hyperphosphorylated and mislocalized to non-lysosomal vesicles. We further show that the GAP activity of the C9orf72/SMCR8 complex is essential for lysosomal repair. These findings uncover a previously unrecognized role for the C9orf72/SMCR8 complex in coordinating RAB8A-ESCRT-mediated lysosomal repair, thereby safeguarding microglial homeostasis and limiting neuroinflammation.

cell biology↗

Design of an ultrabright biosensor for dynamic imaging of kinase activity in cells

Protein kinases regulate almost every major signaling pathway. Visualizing spatiotemporal dynamics of kinase activity is thus essential to understand cell signaling. Here we report a de novo-designed activity reporter of kinase, dubbed NOVARK, which contains a single polypeptide chain with multiple modular motifs that act as specific kinase substrates and reporters. NOVARK undergoes phosphorylation-induced higher order-assembly, which are detectable as ultrabright GFP droplets with a greater dynamic range than existing Forster resonance energy transfer-based kinase reporters. We designed versions of NOVARK that rapidly and reversibly report intracellular activity of protein kinase A, C, and ERK following stimulation/inhibition by upstream GPCR agonists. Our work provides a generalizable platform that enables the design of ultrabright biosensors for illuminating dynamic architecture of kinase signaling.

bioengineering↗