Biology subjects

Gao, Z.

Publications and source records attributed to Gao, Z..

At least 91 records · Page 5Linked to original sources

bioRxiv2025

Structural Heterogeneity of Proteoform-Ligand Complexes in AMP-Activated Protein Kinase Uncovered by Integrated Top-Down Mass Spectrometry

AMP-activated protein kinase (AMPK) is a heterotrimeric complex ({beta}{gamma}) that serves as a master regulator of cellular metabolism, making it a prominent drug target for various diseases. Post-translational modifications (PTMs) and ligand binding significantly affect the activity and function of AMPK. However, the dynamic interplay of PTMs, non-covalent interactions, and higher-order structures of the kinase complex remains poorly understood. Herein, we report the structural heterogeneity of the AMPK complex arising from ligand binding and proteoforms--protein products derived from PTMs, alternative splicing, and genetic variants--using integrated native and denatured top-down mass spectrometry (TDMS). The fully intact AMPK heterotrimeric complex exhibits heterogeneity due to phosphorylation and multiple adenosine monophosphate (AMP) binding states. Native TDMS delineates the subunit composition, AMP binding stoichiometry, and higher-order structure of AMPK complex, whilst denatured TDMS comprehensively characterizes the proteoforms and localizes the phosphorylation site. This is the first study to structurally characterize AMPK proteoform-ligand complexes. Notably, by integrating native TDMS and AlphaFold, we elucidate a flexibly connected regulatory region of AMPK {beta} subunit that has been difficult to visualize with traditional structural biology tools. Our findings uncover previously unresolvable structural features of AMPK, offer new perspectives on protein kinase regulation, and establish a versatile framework for comprehensive characterization of proteoform-ligand complexes.

biochemistry↗

bioRxiv2025

Spatial transcriptomics AI agent charts hPSC-pancreas maturation in vivo

Spatial transcriptomics has revolutionized our understanding of tissue organization by simultaneously capturing gene expression and spatial localization within intact tissues. However, analyzing these increasingly complex datasets requires specialized expertise across computational biology, statistics, and biological context. To address this challenge, we introduce the Spatial Transcriptomics AI Agent (STAgent), an autonomous multimodal agentic AI that integrates multimodal large language models (LLMs) with specialized computational tools to transform weeks-long analysis tasks into minutes of automated processing. Unlike conventional machine learning approaches that are limited to narrow, predefined tasks, STAgent leverages the emergent capabilities of multimodal LLMs - such as flexible reasoning, contextual understanding, and cross-modal integration - which allow it to adapt to novel data, execute multi-step analyses, and generate biologically meaningful insights with minimal human input. STAgent enables autonomous deep research through integrated capabilities, including dynamic code generation for complex analytical workflows, visual reasoning for interpreting spatial patterns, real-time retrieval of relevant peer-reviewd scientific literature, and synthesis of comprehensive, actionable reports. We applied STAgent to investigate the in vivo maturation of human stem cell-derived pancreatic cells (SC-pancreas) transplanted into immunodeficient mice. We generated single-cell spatial transcriptomics data spanning multiple developmental timepoints. STAgent autonomously (1) identified the maturation of initially scattered endocrine cells into well-defined islet-like structures, with predominantly peripheral -cells surrounding {beta}-cell cores supported by an expanding mesenchymal network; (2) revealed strengthening endocrine-endocrine cell interactions over time and, through context-aware gene set analysis, uncovered spatially resolved biological processes driving maturation; (3) unlike traditional analytical approaches, STAgent offers mechanistic explanations of spatial patterns, contextualizing findings with relevant literatures and developing cohesive insights into human pancreatic development. This agentic approach establishes a new paradigm in spatial transcriptomics analysis by substantially lowering the expertise barrier and reducing analysis time, accelerating biological and biomedical discovery.

genomics↗

bioRxiv2025

DEC1 Regulates Human β Cell Functional Maturation and Circadian Rhythm

Stem cell-derived islet (SC-islet) organoids offer hope for cell replacement therapy in diabetes, but their immature function remains a challenge. Mature islet function requires the {beta}-cell circadian clock, yet how the clock regulates maturation is unclear. Here, we show that a circadian transcription factor specific to maturing SC-{beta} cells, DEC1, regulates insulin responsiveness to glucose. SC-islet organoids form normally from DEC1-ablated human pluripotent stem cells, but their insulin release capacity and glucose threshold fail to increase during in vitro culture and upon transplant. This deficit reflects downregulation of maturity-linked effectors of glucose utilization and insulin exocytosis, blunting glycolytic and oxidative metabolism, and is rescued by increasing metabolic flux. Moreover, DEC1 is needed to boost SC-islet maturity by synchronizing circadian glucose-responsive insulin secretion rhythms and clock machinery. Thus, DEC1 links circadian rhythms to human {beta}-cell maturation, highlighting the essential role of circadian control in generating fully functional SC-islet organoids.

developmental biology↗

bioRxiv2025

The 16p11.2 microdeletion influences how early-life microbiota perturbations affect hippocampal development and behavior throughout the lifespan

Neurodevelopmental disorders (NDDs) arise from interactions between genetic factors and environmental exposures, with infancy representing a critical period of vulnerability. This exploratory, preclinical study investigated whether the 16p11.2 microdeletion (16pDel), a NDD-associated genetic variant, exacerbates the effects of early-life therapeutic antibiotic exposure on the gut microbiome, hippocampal development, and behavior. Cefdinir, selected for its epidemiological association with NDD risk, acutely perturbed the gut microbiome, causing sustained reductions in Lachnospiraceae. These changes were followed by alterations in sociability, risk assessment, and associative learning. Notably, only cefdinir-exposed 16pDel mice exhibited altered hippocampal stem cell dynamics and gene expression, demonstrating genotype-dependent susceptibility. Increased intestinal permeability and alterations in arginine biosynthesis and glycerophospholipid metabolism implicate gut barrier dysfunction as a contributing factor. Our findings suggest that genetic composition can exacerbate neurodevelopmental consequences of early-life microbiome perturbations, identify metabolic pathways for potential interventions, and support cautious antibiotic use during infancy, especially in genetically vulnerable populations.

neuroscience↗

bioRxiv2025

Kidney cortex macrophages prevent the formation of mineral stones by reabsorbing phosphate from the urine

Resident macrophages are important in maintaining tissue homeostasis by meeting specialized physiological demands and mitigating the unique stresses each tissue endures. In the kidney, urine is formed in a process of glomerular filtration and tubular reabsorption. Supersaturation of mineral solutes such as calcium phosphate poses a persistent challenge to the kidney; if left unchecked, kidneys stones form, which will cause tubular obstruction and even kidney failure. However, cellular mechanisms of preventing kidney stone formation remain incompletely understood. In this study, we found that resident macrophages in kidney cortex distinguishably expressed phosphate transporter SLC34A1. These cells extend transtubular protrusions and were capable of reabsorbing phosphate from the urine through the SLC34A1, a function previously only attributed to tubular epithelial cells. Depletion of Slc34a1 from kidney cortex macrophages led to increased urinary phosphate excretion, disrupting body phosphorus balance. More importantly, loss of macrophage-mediated phosphate reabsorption from the urine resulted in a drastic over-deposition of calcium phosphate microcrystals in kidney tubules, particularly in the late proximal tubules of inner cortex where intratubular calcium concentration is high. This also accelerated mineral stone formation. Exposure to mineral crystals stimulated cortex macrophages to upregulate SLC34A1 expression, a response mechanistically driven by lysosomal disruption. As such, cortex macrophages employed phosphate reabsorption as a proactive strategy to prevent mineral stone formation.

immunology↗

bioRxiv2025

Glycosylphosphatidylinositol biosynthesis restricts coronavirus infection via the regulation of LY6E

Coronaviruses, including SARS-CoV-2, rely on host factors for their replication and pathogenesis, while hosts deploy defense mechanisms to counteract viral infections. Although numerous host proviral factors have been identified, the landscape of host restriction factors and their underlying mechanisms remain less explored. Here, we conducted genome-wide CRISPR knockout screens using three distinct coronaviruses--SARS-CoV-2, HCoV-OC43 (a common cold human virus from the genus Betacoronavirus) and porcine epidemic diarrhea virus (Alphacoronavirus) to identify conserved host restriction factors. We identified glycosylphosphatidylinositol (GPI) biosynthesis as the pan-coronavirus host factor that restrict viral entry by disrupting spike protein-mediated membrane fusion at both endosomal and plasma membranes. GPI biosynthesis generates GPI moieties that covalently anchor proteins (GPI-anchored proteins [GPI-APs]) to the cell membrane, playing essential roles in various cellular processes. Through focused CRISPR knockout screens targeting 193 GPI-APs, we identified LY6E as the key downstream effector mediating the antiviral activity of the GPI biosynthesis pathway. These findings reveal a novel role for GPI biosynthesis as a conserved host defense mechanism against coronaviruses and highlight LY6E as a critical antiviral effector. This study provides new insights into virus-host interactions and the development of host-directed antiviral therapies.

microbiology↗

bioRxiv2025

DAZAP2 functions as a pan-coronavirus restriction factor by inhibiting viral entry and genomic replication

The SARS-CoV-2 pandemic and the emergence of novel variants underscore the need to understand host-virus interactions and identify host factors that restrict viral infection. Here, we perform a genome-wide CRISPR knockout screen to identify host restriction factors for SARS-CoV-2, revealing DAZAP2 as a potent antiviral gene. DAZAP2, previously implicated in SARS-CoV-2 restriction, is found to inhibit viral entry by blocking virion fusion with both endolysosomal and plasma membranes. Additionally, DAZAP2 suppresses genomic RNA replication without affecting the primary translation of viral replicases. We demonstrate that DAZAP2 functions as a pan-coronavirus restriction factor across four genera of coronaviruses. Importantly, knockout of DAZAP2 enhances SARS-CoV-2 infection in mouse models and in human primary airway epithelial cells, confirming its physiological relevance. Mechanistically, antiviral activity of DAZAP2 appears to be indirect, potentially through the regulation of host gene expression, as it primarily localizes to the nucleus. Our findings provide new insights into the host defense system against coronaviruses and highlight DAZAP2 as a potential target for host-directed antiviral therapies. IMPORTANCEDuring viral infection, the host defense response is mediated by a variety of host factors through distinct mechanisms that have yet to be fully elucidated. Although DAZAP2 was previously implicated in SARS-CoV-2 restriction, its mechanisms of action and in vivo relevance remain unclear. In this study, we identify the DAZAP2 as a potent pan-coronavirus restriction factor that inhibits viral infection through dual mechanisms: blocking virion fusion with both endolysosomal and plasma membranes, and suppressing genomic RNA replication. We confirm its physiological relevance in host defense using mouse models and primary cell cultures. This study advances our understanding of host-pathogen interactions. Targeting DAZAP2 or its regulatory pathways could provide a new approach to enhance host defense against current and future coronavirus threats.

microbiology↗

bioRxiv2025

Unraveling and overcoming the ammonia toxicity in methanotrophs for sustainable biomanufacturing and methane removal

Replacement of nitrate with ammonium at large scale cultivation of methanotrophs can improve the economic feasibility of these bacteria in methane-based biomanufacturing and methane removal. However, ammonia toxicity and N2O emission impede this option. The mechanism of ammonia oxidation in methanotrophs remains elusive, limiting the effort to detoxify ammonia via genetic engineering. Using an industrially promising methanotroph as a model, we identified a porin PorA that facilitated ammonium uptake. Inactivation of PorA remarkably relieved ammonia toxicity and reduced N2O production. Meanwhile, we demonstrated that haoA, cytL and hcp contributed to ammonia detoxification and cytL was involved in the conversion of NH2OH to N2O. A mutant strain with increased ammonium-utilizing ability and decreased N2O emission was constructed. High growth rate and cell biomass were achieved in fed-batch fermentation with this strain using ammonium. These results deepen our understanding of ammonia oxidation in methanotrophs and promote their applications in biomanufacturing and methane removal. IMPORTANCEM. buryatense 5GB1C is becoming a methanotrophic model for both fundamental research and practical applications. Here, the genetic determinants of ammonia toxicity were identified and a porin gene that facilitated ammonium uptake was described for the first time, providing new understanding regarding the mechanism of nitrification in methanotrophs. Moreover, this study dramatically reduced ammonia toxicity and N2O production in this strain and enabled the use of ammonium as nitrogen source in fermentation, improving the sustainability of this strain in practical applications.

microbiology↗

bioRxiv2025

Gut microbiota phospholipids regulate intestinal gene expression and can counteract the effects of antibiotic treatment

The gut microbiome influences immune and metabolic homeostasis. Our research using non-obese diabetic (NOD) mice revealed that early-life antibiotic exposure remodels the gut microbiome affecting metabolism and accelerating type 1 diabetes (T1D) incidence, with cecal material transplant (CMT) mitigating the damage. Now examining murine intestinal lipidomic profiles, we identified 747 compounds. Comparing the lipidomic profiles of cecal contents of conventional and germ-free mice and their diets, we identified 87 microbially-produced lipids reduced by antibiotic exposure but CMT-restored. Parallel analysis of human fecal lipid profiles after azithromycin-exposure showed significant alterations with substantial overlap with mice. In vitro co-culture with mouse macrophages or small intestinal epithelial cells and human colonic epithelial cells identified phospholipids that repress inflammation through the NF{kappa}B pathway. Oral administration of these phospholipids to antibiotic-treated NOD mice reduced expression of ileal genes involved in early stages of T1D pathogenesis. These findings indicate potential therapeutic anti-inflammatory roles of microbially-produced lipids.

microbiology↗

bioRxiv2025

Identification of a novel GREMLIN1 uptake pathway in epithelial cells that requires BMP binding

Gremlin1 is a member of a cysteine-knot containing family of secreted antagonists of bone morphogenetic protein signaling. GREM1 binding to BMP targets prevents their engagement with cognate BMP receptors, attenuating BMP-dependent gene expression. Some evidence suggests that GREM1 can directly bind to receptor tyrosine kinases on the plasma membrane, further complicating our understanding of GREM1 biology. To attempt to clarify the modalities of GREM1 signaling, we show that GREM1 protein is produced and secreted by intestinal fibroblasts and endocytosed by neighbouring epithelial cells. GREM1 uptake is a slow process and occurs by both clathrin- and caveolin-mediated endocytosis. Cell membrane heparin sulfate proteoglycans are required for GREM1 binding and uptake, and once internalised, GREM1 appears to localise to the early endosomes. Addition of BMP2 enhanced GREM1 uptake into cells. Remarkably, generation of a BMP-resistant GREM1 mutant abolished GREM1 uptake both in the presence and absence of BMP2. These data suggest that GREM1 binding and uptake into cells requires BMP binding, a process that may contribute to the antagonism of BMP signaling by GREM1. SummaryIn this article, we demonstrate differential GREM1 mRNA versus protein expression in mouse intestine. We also identify a novel GREM1 endocytosis pathway whereby mammalian cells take up GREM1 protein in what appears to be a BMP-dependent mechanism.

cell biology↗

bioRxiv2025

The zinc-finger protein POGZ associates with Polycomb repressive complex 1 to regulate bone morphogenetic protein signaling during neuronal differentiation

Polycomb Repressive Complex 1 (PRC1) is a family of epigenetic regulators critical for mammalian development. Elucidating PRC1 composition and function across cell types and developmental stages is key to understanding the epigenetic regulation of cell fate determination. In this study, we discovered POGZ, a prominent Autism Spectrum Disorder (ASD) risk factor, as a novel component of PRC1.6, forming the PRC1.6-POGZ complex. Functional assays revealed that POGZ elicits transcriptional repression that is dependent on RING1B expression. Analysis of publicly available ChIP-Seq data showed that POGZ highly colocalizes with RING1B and HP1{gamma}, two PRC1.6 components, at genes involved in multiple aspects of transcriptional regulation in the embryonic mouse cortex. Although Pogz knockout (KO) does not compromise stem cell pluripotency, Pogz ablation in neuronal progenitor cells (NPCs) led to widespread transcriptomic dysregulation with failed activation of key neuronal genes. Finally, we demonstrated that PRC1.6-POGZ regulates neuronal differentiation by repressing the bone morphogenetic protein (BMP) signaling pathway. These findings reveal a mechanism by which PRC1 and POGZ coordinate transcriptional regulation during neuronal differentiation, which offers insights into how disruptions in this pathway may contribute to neurodevelopmental disorders such as ASD.

biochemistry↗

bioRxiv2025

Genome-wide Viral Nascent RNA Sequencing Unveils Polymerase Pausing Landscape at Single-nucleotide Precision

Understanding viral replication and transcription mechanisms is critical for developing effective antiviral strategies. The study of viral gene regulation in host cellular environment is an important bridge for translating mechanistic discoveries from in vitro studies to in vivo but it remains stagnated due to the absence of technological advancement. Current methods for studying viral transcription and replication have been limited to capturing only the mature viral RNAs, obscuring the dynamic intermediates and mechanistic details of these crucial processes. Here, we introduce an original technology we called "Total Elongating Nascent VIral Polymerase single-molecule Sequencing (TenVIP-seq)", which isolates and analyses newly synthesized RNA within the viral RNA-dependent RNA polymerase (RdRp) complex, enabling the discovery of mechanisms critical for both viral replication and transcription. Our first characterization of nascent RNA species for an RNA virus showed that RdRP exhibited non-random pausing with profile signatures along the eight influenza A virus (IAV) gene segments. We also revealed genome-wide pausing at known regulatory sites, such as the poly(U) tract polyadenylation site, and new putative regulatory sites at single-nucleotide resolution. Distinct pausing features between the viral genomic (vRNA) and anti-genomic (cRNA/mRNA) templates were observed, suggesting that RdRp processes transcription and replication differentially on positive and negative sense RNA. The NTP analog drug T-705 (favipiravir) intensified RdRp pauses during genome replication and transcription without introducing new pausing sites, while TRIM25 knockout in host cells infected with virus reduced RdRp pausing globally across the viral genome. Strikingly, we observed that terminal nucleotide misincorporations of nascent RNA sequencing of paused RdRP, which were previously undetectable, were as high as an average of 51.6% (vRNA) and 44.0% (cRNA/mRNA), suggesting that the mutational rate of viruses is much higher than previously thought. We demonstrated that TenVIP-seq holds potential in providing insights into the molecular mechanisms that control viral genome replication, gene expression and regulation, mutation, antiviral drug treatment, and virus-host interaction.

genetics↗

bioRxiv2025

The single amino acid change of R516K enables efficient generation of vesicular stomatitis virus-based Crimean-Congo hemorrhagic fever reporter virus

Crimean-Congo hemorrhagic fever virus (CCHFV) is a medically important tick-borne virus, causing severe hemorrhagic diseases in humans. There is no approved vaccines and therapeutics for CCHFV infection. The study of CCHFV authentic virus requires biosafety level 3 facilities, hindering the research and development of antivirals. Here we report the generation of a recombinant vesicular stomatitis virus (VSV) bearing both CCHFV glycoprotein precursor (GPC) and EGFP reporter (rVSV-CCHFV-GFP). We also find that the acquisition of an unexpected single R516K mutation in the GPC protein enables the packaging of high-titer pseudotyped particles. The replication-competent rVSV-CCHFV-GFP reporter virus resembles the entry properties of authentic virus and allows for rapid assessment of susceptible cell lines, neutralizing antibodies, and host entry factors such as heparan sulfate in fluorescence-based assays. This study provides valuable strategy for packaging of high-titer CCHFV pseudovirus, and the tool generated here can be served for the identification and evaluation of countermeasures against the cell entry of CCHFV.

microbiology↗

bioRxiv2024

Systematic Benchmarking of High-Throughput Subcellular Spatial Transcriptomics Platforms

Recent advancements in spatial transcriptomics technologies have significantly enhanced resolution and throughput, underscoring an urgent need for systematic benchmarking. To address this, we collected clinical samples from three cancer types - colon adenocarcinoma, hepatocellular carcinoma, and ovarian cancer - and generated serial tissue sections for systematic evaluation. Using these uniformly processed samples, we generated spatial transcriptomics data across five high-throughput platforms with subcellular resolution: Stereo-seq v1.3, Visium HD FFPE, Visium HD FF, CosMx 6K, and Xenium 5K. To establish ground truth datasets, we profiled proteins from adjacent tissue sections corresponding to all five platforms using CODEX and performed single-cell RNA sequencing on the same samples. Leveraging manual cell segmentation and detailed annotations, we systematically assessed each platforms performance across key metrics, including capture sensitivity, specificity, diffusion control, cell segmentation, cell annotation, spatial clustering, and transcript-protein alignment with adjacent CODEX. The uniformly generated, processed, and annotated multi-omics dataset is valuable for advancing computational method development and biological discoveries. The dataset is accessible via SPATCH, a user-friendly web server for visualization and download (http://spatch.pku-genomics.org/).

genomics↗

bioRxiv2024

EpiAgent: Foundation model for single-cell epigenomic data

Large-scale foundation models have recently opened new avenues for artificial general intelligence. Such a research paradigm has recently shown considerable promise in the analysis of single-cell sequencing data, while to date, efforts have centered on transcriptome. In contrast to gene expression, chromatin accessibility provides more decisive insights into cell states, shaping the chromatin regulatory landscapes that control transcription in distinct cell types. Yet, challenges also persist due to the abundance of features, high data sparsity, and the quasi-binary nature of these data. Here, we introduce EpiAgent, the first foundation model for single-cell epigenomic data, pretrained on a large-scale Human-scATAC-Corpus comprising approximately 5 million cells and 35 billion tokens. EpiAgent encodes chromatin accessibility patterns of cells as concise "cell sentences," and employs bidirectional attention to capture cellular heterogeneity behind regulatory networks. With comprehensive benchmarks, we demonstrate that EpiAgent excels in typical downstream tasks, including unsupervised feature extraction, supervised cell annotation, and data imputation. By incorporating external embeddings, EpiAgent facilitates the prediction of cellular responses to both out-of-sample stimulated and unseen genetic perturbations, as well as reference data integration and query data mapping. By simulating the knockout of key cis-regulatory elements, EpiAgent enables in-silico treatment for cancer analysis. We further extended zero-shot capabilities of EpiAgent, allowing direct cell type annotation on newly sequenced datasets without additional training.

bioinformatics↗

bioRxiv2024

Exploring Bioelectricity with Ace2N-mNeon during Zebrafish Embryogenesis

Bioelectricity is a fundamental biophysical phenomenon present in all cells, playing a crucial role in embryogenesis by regulating processes such as neuronal signaling, pattern formation, and cancer suppression. Precise monitoring of bioelectric signals and their dynamic changes throughout development is vital for advancing our understanding of higher organisms. However, the lack of suitable techniques for mapping bioelectric signals during early development has greatly limited our ability to interpret these mechanisms. To address this challenge, we developed an Ace2N-mNeon expression library in zebrafish, which exhibits membrane localization from 4 hours post-fertilization to at least 5 days post- fertilization and broad expression across multiple cell types throughout development. We validated the use of this library for studying bioelectric changes via voltage imaging to record signals in neurons and cardiomyocytes at different development stages. Through this approach, we found evidence of synchronized neuronal activity during early embryogenesis and observed faster voltage dynamics in cardiomyocytes as development progressed. Our results show that the Ace2N-mNeon library is a valuable tool for developmental bioelectric studies supporting advanced techniques such as voltage imaging and fluorescence lifetime imaging (FLIM). These methods enable non-invasive, dynamic monitoring of bioelectric signals across diverse cell types throughout development, significantly surpassing the capabilities of current electrophysiological techniques.

developmental biology↗

bioRxiv2024

In-depth Characterization of S-Glutathionylation in Ventricular Myosin Light Chain 1 Across Species by Top-Down Proteomics

S-glutathionylation (SSG) is increasingly recognized as a critical signaling mechanism in the heart, yet SSG modifications in cardiac sarcomeric proteins remain understudied. Here we identified SSG of the ventricular isoform of myosin light chain 1 (MLC-1v) in human, swine, and mouse cardiac tissues using top-down mass spectrometry (MS)-based proteomics. Our results enabled the accurate identification, quantification, and site-specific localization of SSG in MLC-1v across different species. Notably, the endogenous SSG of MLC-1v was observed in human and swine cardiac tissues but not in mice. Treating non-reduced cardiac tissue lysates with GSSG elevated MLC-1v SSG levels across all three species.

biochemistry↗

bioRxiv2024

Tokenvizz: GraphRAG-Inspired Tokenization Tool for Genomic Data Discovery and Visualization

SummaryOne of the primary challenges in biomedical research is the interpretation of complex genomic relationships and the prediction of functional interactions across the genome. Tokenvizz is a novel tool for genomic analysis that enhances data discovery and visualization by combining GraphRAG-inspired tokenization with graph-based modeling. In Tokenvizz, genomic sequences are represented as graphs, where sequence k-mers (tokens) serve as nodes and attention scores as edge weights, enabling researchers to visually interpret complex, non-linear relationships within DNA sequences. Through a web-based visualization interface, researchers can interactively explore these genomic relationships and extract biologically meaningful insights about regulatory patterns and functional elements. Applied to promoter-enhancer interaction prediction tasks, Tokenvizz outperformed traditional sequential models while providing interpretable insights into genomic features, demonstrating the advantage of graph-based representations for biological discovery. Availability and ImplementationTokenvizz, along with its user guide, is freely accessible on GitHub at: https://github.com/ceragoguztuzun/tokenvizz. ACM Reference FormatCera[g] O[g]uztuzun, Zhenxiang Gao, and Rong Xu. 2024. Tokenvizz: GraphRAG Inspired Tokenization Tool for Genomic Data Discovery and Visualization. In Proceedings of (Bioinformatics). ACM, New York, NY, USA, 7 pages. https://doi.org/XXXXXXX.XXXXXXX

bioinformatics↗