Biology subjects

Zhao, W.

Publications and source records attributed to Zhao, W..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

Connectome lateralization in autism across the first 14 years: heterogeneity related to developmental stage, hemisphere, and pathophysiology

Hemispheric lateralization is fundamental feature to neurodevelopment, yet its dynamic evolution in autism across childhood and underlying molecular mechanisms remain unknown. Thus, using a large-scale resting-state fMRI dataset (n = 1553, ages 1-14), we investigated developmental heterogeneity in connectome lateralization. At the group level, abnormalities in dynamic connectome lateralization strength (DCLS) progressed from focal patterns in early childhood ([≤] 6 years) to widespread distributions by late childhood ([≤] 14 years), independent of symptom severity. The late-stage patterns were validated using the ABIDE dataset (n=153). Late childhood also showed marked increases in inter-individual heterogeneity. These alterations were significantly associated with clinical phenotypes, transcriptomic profiles, and multiple neurotransmitter systems, with distinct patterns across childhood groups. Our findings reveal a developmentally dynamic trajectory of connectome lateralization in autism and highlight late childhood as a critical window for stage- and individual-specific interventions tailored to substantial individual heterogeneity.

neuroscience↗

bioRxiv2026

DeepSRFusion: a point cloud deep learning framework for super-resolution particle fusion

Deciphering the spatial organization of macromolecular complexes in their native context is central to structural biology. Particle fusion in single-molecule localization microscopy offers a unique capability for high-resolution structural reconstruction in situ. However, existing methods face significant challenges from large rotational perturbations and sparse labeling, resulting in compromised accuracy and substantial computational cost. We present DeepSRFusion, a self-supervised pretraining framework for three-dimensional super-resolution particle fusion. By representing single-molecule point clouds as Gaussian Mixture Models, DeepSRFusion integrates data-driven feature learning with physical imaging constraints. A two-stage optimization strategy with dynamic template updating enhances robustness, and a novel Clustering Error metric quantifies fusion quality. Nanometer-scale validation on both simulated and experimental datasets demonstrates high reconstruction fidelity and structural consistency with cryo-electron microscopy and AlphaFold3. DeepSRFusion remains effective under challenging imaging conditions, including large 3D rotations, sparse labeling, high localization uncertainty, and limited particle numbers, while achieving over 100-fold speedups compared to current methods. It resolves fine structural features with a measured spatial resolution of 1.60 {+/-} 0.10 nm, sufficient to distinguish ~10 nm spaced protein pairs and visualize tilted internal substructures within macromolecular assemblies. DeepSRFusion provides a powerful tool for high-precision structural analysis in native cellular environments.

biophysics↗

bioRxiv2026

Cell Type Architecture and Positional Gene Gradients in an Adult Animal at Subcellular Resolution

The spatial organization of cell types and gene expression underlies tissue architecture and organismal physiology. However, resolving complete cellular and molecular landscapes within a three-dimensional context remains challenging, particularly in organisms with high cellular heterogeneity and complex geometry. Here, we developed a semi-supervised workflow to reconstruct high-resolution three-dimensional spatial transcriptomic models of the planarian Schmidtea mediterranea at single-cell resolution. Planarians are basal bilaterians capable of regenerating body structures after injury. Our reconstruction maps the distribution of cell types and spatially patterned gene expression across the intact organism and identifies 119 candidate positional control genes (PCGs). These genes are expressed across muscle, neural, and epidermal populations. Functional perturbation of selected candidates, including pitx3, ptpn11, pi4ka, upf3b, and cul1, revealed roles in regeneration following injury. In addition, we identify intestinal cells as prominent components of the microenvironment surrounding adult tgs1 pluripotent stem cells (neoblasts). Together, these results demonstrate the utility of three-dimensional spatial transcriptomic reconstruction for mapping cellular architecture and positional gene regulation in complex adult organisms.

developmental biology↗

bioRxiv2026

4D Single-Cell Spatial Transcriptomics Reveals Dynamic Morphogenetic Gradients and Regenerative Domains in Planarians

Regeneration relies on precise spatiotemporal gene expression and cellular responses to establish tissue identity and body patterning. Using high-resolution Stereo-seq (715 nm) on 353 sections from 16 whole animals at 8 regeneration timepoints, we constructed a 4D spatiotemporal transcriptomic map of planarian regeneration. Our analysis captured 36 refined cell types from 3,508,004 segmented cells, enabling genome-wide transcriptional imputation of gene expression dynamics across body axes at cellular, tissue, and organismal scales. We identified dynamic positional gradients and distinct spatially distributed cell types during regeneration, including an injury-induced Anterior Regenerative Zone (ARZ). The ARZ exhibited enriched positional signals in epidermal, muscle, and neural cells and was regulated by Mediator 8, which is crucial for polarity remodeling and blastema formation. This study provides a comprehensive spatial molecular and cellular map of regenerative processes, highlighting injury-induced spatial domains and key regulatory factors in planarian regeneration. We also provide an interactive web portal, offering a valuable resource for exploring and analyzing regeneration mechanisms in a spatiotemporal context.

developmental biology↗

bioRxiv2026

Reaction-enabled, highly sensitive super-resolution imaging

Super-resolution microscopy breaking the optical diffraction limit has led to success in illuminating the complexity of biology with fluorescence--light-excited luminescence1,2. Here, we propose another approach for super-resolution imaging with electrochemiluminescence (ECL)--reaction-excited luminescence3,4. While featuring high sensitivity in molecular analytics owing to its laser-free excitation, the current reaction-driven imaging suffers from limited resolution due to low photon budget4. Efficient ECL imaging of intracellular organelles remains elusive. To meet this challenge, we develop RIED (Reaction-based super-resolution Imaging via Entropy-weighted correlation combined with Deconvolution), which builds upon two pivotal advancements: (i) unprecedented ECL intracellular organelles imaging through a 1,000-fold enhancement in ECL emission, and (ii) the super-resolution ECL imaging by the spatiotemporal acquisition and efficient utilization of highly dynamic ECL profiles. RIED allows for the first three-dimensional super-resolution ECL imaging with a spatial resolution of {bsim}97 nm in the lateral dimension and {bsim}235 nm in the axial dimension. This allows to reveal outer mitochondrial membrane topology and distinct microtubule organizations in different mitosis phases, offering a chemistry-based imaging capability for high-throughput imaging and highly sensitive interfacial imaging, which provides a new dimension into biology.

biochemistry↗

bioRxiv2026

The genetic repertoire of the deep sea: from sequence to structure and function

The deep sea as the largest and maybe most hostile environment on Earth is still underexplored especially regarding its genetic repertoire. Yet, previous work has revealed significant habitat-specific deep-sea biodiversity. Here, we present an integrated deep-sea genetic dataset comprising 502 million nonredundant genes from 2,138 samples and 2.4 million predicted structures, and used it to link specific protein structures with genetic variants associated with life in the deep sea and to assess their biotechnology potential. Combining global sequence analysis with biophysical and biochemical measurements revealed unprecedented sequence diversity, yet substantial structural conservation of proteins. Especially proteins involved in replication, recombination, and repair were identified to be under rapid evolution and with specialized properties. Among these, a structurally divergent helicase exhibited advantages in controlling nanopore sequencing speed. Thus, our work positions the deep sea as a unique evolutionary engine that generates and hosts genetic diversity and bridges genetic knowledge with biotechnology.

bioinformatics↗

bioRxiv2026

Forward genetics reveals microsporidian drug targets and recombination-based resistance

Microsporidia are a diverse group of intracellular fungal parasites that infect humans and many agriculturally important animals. Several microsporidia inhibitors have been characterized, but the targets of these inhibitors in microsporidia have not been confirmed, and the mechanisms by which microsporidia evolve resistance are unknown. Using the model organism Caenorhabditis elegans and its naturally occurring microsporidian parasite Nematocida parisii, we developed a technique to continually passage infected animals for multiple generations under increasing inhibitor concentrations. We obtained multiple independent N. parisii strains that are specifically resistant to the microsporidia inhibitors albendazole or dexrazoxane. The albendazole-resistant strains all contained either heterozygous or homozygous mutations in beta-tubulin, with several strains containing beta-tubulin variants that have been observed in other albendazole-resistant organisms. Strains containing homozygous variants are resistant to several albendazole analogs, whereas the heterozygous variant-containing strains are only resistant to albendazole. Several of the albendazole-resistant strains also contain mutations in alpha-tubulin. The dexrazoxane-resistant strains all contain heterozygous mutations in topoisomerase II and several of these mutations occur in the binding site of this inhibitor. By mapping heterozygosity of the resistant strains across the N. parisii genome, we observed loss of heterozygosity spanning the beta-tubulin locus in the albendazole-resistant strains containing homozygous beta-tubulin variants. Our study demonstrates the utility of forward genetics for identifying microsporidian drug targets. We also find that drug resistance arises through de novo heterozygous mutations that can subsequently become homozygous, likely via mitotic recombination.

microbiology↗

bioRxiv2026

Inhibition of KDM5A/B promotes antitumor innate immune responses in HHV-8/KSHV2 positive B-cell lymphomas

Summary/AbstractHistone methylation is a dynamic and reversible epigenetic modification that critically controls the progression of human diseases, including infections and cancers. Here we reported that histone lysine demethylases (KDMs) in the KDM5 family KDM5A/B play profound roles in suppressing lytic reactivation of oncogenic human herpesvirus 8 (HHV-8), i.e., Kaposis sarcoma-associated herpesvirus (KSHV), as well as antiviral/antitumor innate immune responses in KSHV-infected B-cell lymphomas. We showed that KSHV lytic replication decreases KDM5A/B protein stability by enhancing their K-48 linked polyubiquitination while KDM5A/B depletion facilitates KSHV lytic reactivation. Mechanistic studies illustrated that KDM5A/B associate with KSHV LANA protein and dampen its chromatin association at both KSHV viral lytic promoter and promoters of antitumor immune-responsive genes (IRGs). In comparisons to normal B cells, KDM5A/B expression significantly increased in B-cell lymphoma cells, including KSHV-positive primary effusion lymphoma (PEL). We demonstrated that KDM5A/B inhibition remarkably induces both KSHV lytic reactivation and innate immune responses in PEL cells, resulting in a strong viral oncolytic effect, both in vitro in cell cultures and in vivo using a PEL xenograft mouse model. Overall, our studies identified the novel functions of KDM5A/B to silence KSHV lytic replication and antiviral/antitumor innate immune responses, which can be blocked to benefit the treatment of KSHV-associated B-cell lymphomas that are usually aggressive and difficult to treat.

microbiology↗

bioRxiv2026

Biotransformation and biodefluorination of chlorinated polyfluorocarboxylic acids by Acetobacterium species

Chlorinated per- and polyfluoroalkyl substances (Cl-PFAS) represent an important subgroup in replacement chemicals for legacy PFAS, and they have been detected in various environments including water bodies, soil, as well as air particles. However, the biodegradability of these chemicals is largely unknown. A recent study reported dechlorination triggered anaerobic biodefluorination of Cl-PFCAs by activated sludge communities. In this study, we further investigated the biodefluorination of Cl-PFCAs by pure cultures. Six of ten selected Cl-PFCAs displayed significant defluorination by Acetobacterium bakii, and corresponding pathways were proposed according to transformation product analysis. Several additional Acetobacterium species were all capable of defluorinating 3,5,7,8-tetrachloro-2,2,3,4,4,5,6,6,7,8,8- undecafluorooctanoic acid (CTFE4) with >50% removal of organic fluorine. On the contrary, Clostridium homopropionicum cannot defluorinate CTFE4. Crude protein extraction experiment showed that the enzymes responsible for CTFE4 dechlorination and defluorination required anaerobic atmosphere to function. Differential gene expression was analyzed according to RNA sequencing analysis, and the results indicated vitamin B12 related enzymes may involve in CTFE4 dechlorination.

microbiology↗

bioRxiv2026

Oncolytic Adenovirus Armed with cGAS Activates STING Pathway and Enhances Antitumor Immunity in Lung Cancer with Superior Combined Efficacy of PD-L1 Therapy

The extensive expression of STING in patients with non - small cell lung cancer (NSCLC) is closely associated with overall survival and other factors. Activation of the STING pathway can suppress NSCLC. However, the clinical translation of STING agonists remains hindered by challenges such as off-target effects, metabolic instability, and suboptimal pharmacokinetics. In this study, we engineered two oncolytic adenoviruses (OAds), OAd-HcGAS and OAd-McGAS, expressing human or murine cGAS, respectively, using an Ad5/3 chimeric adenovirus platform under regulation by the hTERT promoter to evaluatewhether OVs carrying the cGAS gene are capable of specifically activating the STING pathway within tumors and enhancing the anti - tumor efficacy of OVs both in vitro and in vivo.In vitro, OAd-HcGAS exhibited robust replication and potent cytolytic activity in tumor cells. It activated the STING-TBK1-IRF3 signaling axis, triggering a strong type I interferon (IFN-I) and pro-inflammatory cytokine response without compromising viral replication. In a murine Lewis lung carcinoma allograft model, intratumoral (i.t.) administration of OAd-McGAS led to substantial cGAS expression and consequential activation of the STING pathway. Moreover, the combination with anti-PD-L1 therapy resulted in tumor regression in over half of the cases. Notably, this armed oncolytic virus strategy enhanced the activation and infiltration of multiple immune cell populations. Collectively, these findings establish cGAS-expressing oncolytic adenoviruses as a novel and effective therapeutic strategy for lung cancer treatment. Graphical AbstractViral replication & Transgene expression & Cancer treatment

immunology↗

bioRxiv2026

Alcohol Use Disorder Affects Brain Metals

BackgroundOne of the risks associated with alcohol use disorder (AUD) is dementia. While the exact pathology is unknown, there is increasing evidence that alcohol consumption may dysregulate iron homeostasis in the brain leading to increased brain iron concentrations. Unregulated iron can produce oxidative stress and cellular damage to neurons. Iron-related cellular death is a relatively new finding and is called ferroptosis. To test the hypothesis that alcohol use disorder may cause brain iron dysregulation, we measured iron in hippocampus, caudate and substantia nigra in brain tissues obtained from individuals diagnosed with (AUD) and from individuals with no apparent alcohol-related problems. MethodsWe obtained hippocampus, caudate, and substantia nigra tissues from the New South Wales Brain Tissue Resource Centre, University of Sydney. The tissues came from 20 males and 20 females, half of each diagnosed with AUD. The tissues were wet-ashed and prepared for analysis of iron, copper, and zinc by total x-ray reflectance fluorescence. ResultsIn the hippocampus, we observed AUD-related decreased iron, but nothing more. In the substantia nigra, we observed a significant increase in iron and a trend toward an in increase in copper content in females and decreased iron and zinc in males. In the caudate we saw a near doubling of iron in females and a significant increase in copper in females and males. ConclusionsThese results provide direct evidence that at least part of AUD-related pathophysiology involves the dysregulation of trace metals in the brain. These changes are more severe in females, which may relate to extended levels of exposure due to slower alcohol metabolism.

neuroscience↗

bioRxiv2025

Epigenetic Coalitions Couple Tissue Growth to Generate Periodic Colour Patterns in Birds

Periodic patterning is fundamental to biological organization. In birds, colour stripes and spots on growing embryonic surface and elongating feather filaments provide a unique system to study continuous periodic patterning in expanding domains. Agouti-signaling protein (ASIP) directly reports epigenomic activity during colour patterning. Using a neural-network-like architecture, we show that ASIPs cis-regulatory landscape functions as hidden layers, integrating morphogen feedback, chromatin topology, and tissue geometry to generate discrete colour outputs. Single-nucleus multiome and Micro-C uncover stage- and context-specific enhancer-silencer coalitions. Epidermal Wnt ligands activate ASIP while inducing Wnt inhibitors in fibroblasts, forming a negative-feedback loop coupling periodic patterning to domain expansion. Comparative cross-tissue and cross-species analyses define cis-regulatory modules comprising an epigenetic grammar; functional assays highlight retrotransposon co-option expanding ASIPs cis-regulatory repertoire, potentially contributing to colour pattern evolution. Together, these findings motivate a Turing-principle-based communication model: ASIP reflects epigenetic coalitions shifting to drive diverse, environmentally tunable colour motifs for adaptation.

developmental biology↗

bioRxiv2025

Short-chain fatty acids modulate the development and the cell surface molecule expression of dendritic cells by epigenetic regulation

BackgroundShort-chain fatty acids (SCFAs) are produced by the gut microbiota as secondary metabolites during fermentation process of dietary fibers. Although SCFAs are beneficial for immuno-related diseases because they regulate the gene expression and functions of myeloid cells, the effects of SCFAs on the development of DCs remain unclear. MethodsWe analyzed the effect of SCFAs on the expression levels of surface proteins and mRNAs, and histone modification in Flt3L-induced bone marrow-derived DCs. ResultsSCFAs, particularly butyrate, regulated the expression of surface molecules on mouse bone marrow-derived dendritic cells (DCs): increases in MHCII, CD86, CD11b, and LPAM-1 (4{beta}7) levels and the ratio of CD11c+/PDCA-1-/B220- conventional DCs (cDCs) to CD11c+/PDCA-1+/B220+ plasmacytoid DCs (pDCs). Experiments using inhibitors of histone deacetylase (HDAC) and Gi proteins, and GPR109A deficient mice indicated that butyrate regulated DCs by suppression of HDACs and not through a stimulatory effect on G protein-coupled receptors. Butyrate and the HDAC inhibitor, trichostatin A (TSA), increased the cDC/pDC ratio, surface LPAM-1 and Itga4 mRNA, while the mRNA level of Itgb7 was not affected by butyrate and was reduced by TSA. ChIP assays showed that butyrate and TSA increased histone acetylation in the Itga4 and Spi1 genes. Furthermore, the butyrate treatment increased the levels of Spi1 mRNA and PU.1 protein and decreased those of Spib/SpiB in DCs. In knockdown (KD) experiments using siRNAs, the gene expression of Itga4 was decreased by KD of Spi1 or Irf8, and cDC/pDC ratio decreased by Spi1 KD. ConclusionsButyrate controls the gene expression and development of DCs through epigenetic regulation and DC-related transcription factors.

immunology↗

bioRxiv2025

The conserved NUS-1/DHDDS complex links N-glycosylation to lipid and lysosomal homeostasis in C. elegans

N-glycosylation, driven by the cis-prenyltransferase (cis-PT) complex, a NUS1 and DHDDS heterotetramer, is vital for proteome integrity. Despite being linked to severe congenital disorders of glycosylation (CDGs), the systemic role of NUS1/DHDDS remains elusive. Here, we characterize the conserved C. elegans cis-PT complex and uncover a critical crosstalk with global lipid metabolism. cis-PT deficiency induces catastrophic ER stress, global glycoprotein defects, and developmental failure. Mechanistically, NUS-1 physically interacts with the core oligosaccharyltransferase (OST) complex, directly coupling substrate synthesis to N-glycan transfer. Loss of NUS-1 or DHDDS causes systemic lipopenia, lysosomal dysfunction, and cholesterol sequestration, resulting from impaired N-glycosylation of key regulatory glycoproteins like SCAP. Utilizing CDG-associated CRISPR models, we resolve the molecular basis for cis-PT dysfunction, identifying interface disruption and catalytic impairment as distinct disease etiologies. These findings collectively reveal a critical and previously unappreciated crosstalk between protein glycosylation and global lipid metabolism, establishing a robust system to explore CDG pathology and therapeutic strategies.

cell biology↗

bioRxiv2025

Revealing the Drivers Underlying Distinct Evolutionary Trajectories in Lung Adenocarcinoma

Elucidating the evolution of cancers allows us to understand their key events, and the order in which they occur. To chart and interpret these evolutionary trajectories, we leverage whole-genome sequencing of lung tumours, including those from the largest cohort to date of lung cancers in subjects who have never smoked. Through ordering frequent genomic alterations, we discover three distinct evolutionary paths taken by lung adenocarcinomas; two dominated by tumours from people who have never smoked (NS-LUAD), and one followed by the vast majority of those who have smoked (S-LUAD). However, one in six NS-LUAD follow the smoking-dominant trajectory. These tumours, surprisingly, have fewer somatic alterations than the other NS-LUAD, and have shorter latency. They are strongly enriched for KRAS mutations. Our results suggest that gaining KRAS mutations allows these tumours to evolve more rapidly, acquiring a set of smoking-associated key alterations, with less need for genomic instability to progress. These tumours are three times more frequent in subjects of European vs. East Asian ancestry. These findings could shape clinical management strategies for lung adenocarcinoma patients, particularly for tumours driven by smoking-like evolutionary trajectories.

cancer biology↗

bioRxiv2025

Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across Multi-Omics Data

Biological traits such as genes, metabolites, and microbial taxa interact within complex networks, yet how genomic factors shape these interactions remains poorly understood. Here, we introduce GFBioNet, a computationally efficient method for identifying factors that modulate direct associations between biological traits within network models. Our two-stage strategy first estimates a baseline network using Gaussian graphical models and then tests whether genomic factors modulate specific network edges (trait-trait relationships), enabling scalable analysis of high-dimensional multi-omics data while explicitly controlling the false discovery rate (FDR). Simulations demonstrate reliable FDR control and high statistical power across a broad range of settings. Applied to multiple datasets, GFBioNet reveals host genetic variants influencing oral microbiome relationships, gut microbial taxa modulating metabolite networks in colorectal cancer, and somatic mutations and copy-number alterations reshaping gene expression networks in lung adenocarcinoma. By expanding network analysis to evaluate modifiers of trait-trait relationships, GFBioNet offers a versatile tool for uncovering the genomic architecture of biological networks across multi-omics studies.

genomics↗

bioRxiv2025

Structural mechanisms of drebrin-mediated F-actin network modulation

Drebrin modulates F-actin networks and links them to other intracellular components, regulating crucial processes including neuritogenesis, synaptic plasticity, virus internalisation and cancer invasion. Using single-particle cryo-EM we characterise drebrins interaction with F-actin through two separate conserved actin binding domains (ABD1 and ABD2), revealing structural bases for its F-actin-modulating properties. We describe a multimodal interaction where drebrins ABD1 can adopt two conformations and a long flexible loop connecting to ABD2 allows the two ABDs to occupy multiple relative positions along F-actin. Despite harbouring two separated ABDs, we find that drebrin is not a strong direct F-actin bundler. Drebrins ABDs bind across multiple actin protomers and their subdomains and modify the longitudinal inter-protomer interface, explaining their F-actin stabilising properties. Furthermore, we show drebrins binding site on F-actin is shared with other critical actin-binding and regulatory proteins, explaining their competitive displacement.

biochemistry↗

bioRxiv2025

A programmable mRNA platform for miRNA detection via miRNA-mRNA2 triplex-mediated ribosomal frameshifting

Programmed -1 ribosomal frameshifting (-1 PRF) is a recoding mechanism utilized by viruses to expand their coding capacity and modulate the stoichiometric ratio of -1 frame and 0 frame translation products. The stability of mRNA secondary structure at the ribosomal entry site within the frameshifting stimulating elements (FSEs) determines the frameshifting efficiency. Here, we report the development of a programmable mRNA-based platform that detects specific mature microRNA (miRNA or miR) by converting their presence into a quantifiable protein output through miRNA-triggered -1 PRF. We designed a triplex-forming mRNA (TF-mRNA) platform to selectively trap target miRNAs through the formation of major-groove mRNA-miRNA-mRNA (miR-mRNA2) triplexes. Bio-layer interferometry and fluorescence binding studies confirmed that TF-mRNA forms stable complexes with cognate miRNAs with low nanomolar affinity and prolonged dissociation rate. Critically, the formation of miR-mRNA2 triplex robustly stimulated ribosomal frameshifting in a cell-free dual-luciferase translation system, acting as a miRNA-dependent molecular switch. The generality of this TF-mRNA platform has been verified for several disease-associated purine-rich miRNAs, and it is suitable for targeting a wide range of other purine-enriched miRNAs. This programmable TF-mRNA platform establishes a foundation for developing novel diagnostic tools and synthetic biology circuits that convert the presence of miRNA into a quantifiable protein output. TOC Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/690164v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1d6d9f7org.highwire.dtl.DTLVardef@8008e6org.highwire.dtl.DTLVardef@1c8344borg.highwire.dtl.DTLVardef@e153ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗