Biology subjects

Xiong, Z.

Publications and source records attributed to Xiong, Z..

At least 19 recordsLinked to original sources

bioRxiv2026

Vascularized Organoids Emerge from a Heart-Foregut-like Intermediate Recapitulating Early Human Development

During early cardiogenesis, the heart regions lie in close contact with foregut endoderm, which supplies essential nutrients and signaling cues to orchestrate primitive heart tube assembly. Here, we show that self-organized heart/foregut like-structures emerge from human pluripotent stem cells (hPSCs). The initial heart/foregut-like structures, termed the Seed, are encased by surrounding supportive cells termed Soil, which provide a matrix microenvironment; the Seed progressively develops into chambered human cardiac organoids (hCOs) containing cardiomyocytes (CMs), epicardial cells, cardiac fibroblasts, and endothelial cells. Optimization of the induction system further enhanced hCO maturation and vascularization. Therefore, this Soil-Seed system provides a model to dissect human early heart/foregut self-organization.

developmental biology↗

bioRxiv2026

Genome assemblies and annotations of the poneroid ants Platythyrea mocquerysi (Ponerinae) and Stigmatomma oregonense (Amblyoponinae)

We present draft genome assemblies for two poneroid ant species with distinctive life history traits: Platythyrea mocquerysi Emery, 1899 (Ponerinae) and Stigmatomma oregonense Wheeler, 1915 (Amblyoponinae). Platythyrea mocquerysi is a Malagasy ant in which larvae produce secretions from a ventral tubercle that are consumed by adults, representing an unusual form of larva-to-adult trophallaxis. Stigmatomma oregonense, a North American "dracula ant," feeds non-lethally on larval haemolymph. Using PacBio HiFi long-read sequencing, we assembled the P. mocquerysi genome (187 Mb, 307 scaffolds, N50 = 5.26 Mb, BUSCO 99.2% complete) and the S. oregonense genome (262 Mb, 1,189 scaffolds, N50 = 0.84 Mb, BUSCO 98.3% complete). These genomes encode 10,860 and 12,354 protein-coding genes, respectively. Repeat content is higher in S. oregonense than in P. mocquerysi, 54.3% against a lower bound of 15.7%. Most of the difference is in unclassified repeats, which we show to be diverged transposable elements. Comparative analysis with two additional poneroid genomes from closely related species reveals that genome size variation across poneroid ants is largely explained by transposable element dynamics, with notable expansions in several gene families including carboxylesterases, serine proteases, and lipid metabolism genes in Amblyoponinae. These genomes provide essential resources for investigating the molecular basis of unconventional brood management strategies in ants.

genomics↗

bioRxiv2026

A Hymenoptera-restricted gene mediating ant castes co-opts deeply conserved machinery to control organ size

Lineage-specific genes are widespread and have been implicated as phenotypic innovation inducers, but how they acquire complex developmental functions remains poorly understood. Ant queens and workers develop dramatically different organ sizes from identical genomes under juvenile hormone (JH) control, yet the molecular effectors translating JH signalling into caste-specific organ growth remain unknown. Here we identify torch, a Hymenoptera-restricted gene, as the most consistently gyne-biased and JH-responsive gene across 68 ant species. Knockdown of torch in virgin queens of Monomorium pharaonis produces a worker-like, multi-organ growth-restricted phenotype. Mechanistically, torch harbours an E-box-like motif activated by the JH receptor Gce-Tai and acts as a GA-repeat-binding transcription factor that regulates Hippo signalling, the deeply conserved organ-size control pathway in animals. Expressing torch heterologously in mice and a growth-restricted Drosophila background shows that the gene retained its general growth-promoting activity across more than 700 million years of animal evolution in lineages that lack the gene, establishing that its function is mediated through conserved rather than ant-specific machinery. A lineage-specific gene can therefore acquire complex morphogenetic function by co-opting ancient organ-size circuitry, providing a general route by which novel genes can drive phenotypic innovation.

evolutionary biology↗

bioRxiv2026

Spatial synaptic regularization stabilizes learning across biological and artificial neural networks

How the spatial organization of synapses contributes to stable learning remains a fundamental question in neuroscience. Using the H01 electron microscopy connectome of human temporal cortex, we found that dendritic spines clustered morphologically, whereas synaptic weights followed a center-elevated, surround-suppressed arrangement along dendrites. A regularized Hebbian model formalized this spatial signature, showing that strong synapses lower the probability that neighboring synapses reach high-weight states. Translating this principle into Spatial Synaptic Regularization (SSR) reduced forgetting and stabilized learning across diverse artificial networks and tasks, including continual visual learning, large language-model knowledge editing, and parameter-efficient adaptation of vision-language models, by preserving high-rank, low-overlap representations. These findings identify spatial synaptic organization as an unrecognized dimension for stabilizing learning and show that structural connectomics can yield actionable AI methods.

neuroscience↗

bioRxiv2026

Mapping fibrotic microenvironments: single-cell and spatial profiling of Schistosoma mansoni-induced tissue fibrosis

Schistosoma-induced tissue fibrosis, driven by immune response to trapped schistosome eggs, is the principal cause of pathology and schistosomiasis-related morbidity. While praziquantel effectively clears adult parasites, no therapies exist to target eggs or egg-induced tissue fibrosis. Here, we utilise single-cell spatial transcriptomics to define the high-resolution molecular architecture of the fibrotic niche in Schistosoma mansoni-infected mice at 8 weeks post-infection. Our data reveal that the host executes divergent, organ-specific biological programs: constructing a rigid, concentric fibrotic granuloma for permanent egg sequestration in the liver while building a flexible, discontinuous collagen architecture in the intestine to facilitate egg transit. Spatially resolved cell-cell interaction analysis, unprecedented in schistosome-induced fibrosis, identifies the strongest cellular interactions between macrophages and collagen-producing cells, with TGF-{beta}-dominant ligand-receptor pairs in the hepatic niche and integrin-centered pairs in the intestine. Despite this architectural divergence, we detected a core signature of five ligand-receptor pairs shared across both tissues, suggesting shared signalling interactions that could be leveraged for pan-tissue therapeutics for treating schistosome-induced fibrosis. Together, these findings provide the first high-resolution spatial atlas of schistosomiasis-associated fibrosis and provide a foundational framework for discovering novel drug targets capable of reversing established tissue damage, addressing a critical clinical gap where current therapies fail.

molecular biology↗

bioRxiv2026

Loss of Propionyl-CoA Carboxylase Reprograms Hepatic Metabolism by Suppressing Mitochondrial Pyruvate Carboxylation and Fatty Acid Oxidation

Propionic acidemia (PA) is an inborn error of metabolism caused by propionyl-CoA carboxylase (PCC) deficiency due to mutations in either PCCA or PCCB. Without proper management, the disease is associated with high mortality. Even with dietary restriction, patients often develop complications later in life, and the underlying pathological mechanisms remain poorly understood. The liver is the primary organ responsible for propionyl-CoA metabolism, yet the metabolic alterations induced by PCC deficiency in the liver have not been systematically investigated. In this study, we used a hepatocyte model of PA-- PCCAnull-HepG2 cells--to comprehensively examine metabolic alterations using stable isotope-based metabolic flux analysis. The PCCA knockout recapitulated key metabolic features of PA in HepG2 cells. Furthermore, PCCA deficiency reduced mitochondrial fatty acid oxidation while increasing glucose oxidation through pyruvate dehydrogenase. In contrast, pyruvate anaplerosis via pyruvate carboxylase was markedly reduced in PCCA knockout cells. This reduction in anaplerotic flux impaired the capacity for gluconeogenesis and lipid synthesis, consistent with observations from in vivo studies in Pcca-/- (A138T) mice. Additionally, branched-chain keto acid catabolism was reduced in PCCA knockout HepG2 cells. Threonine showed minimal metabolic contribution in this model, further supporting the role of propionate as a major source of propionyl-CoA production. Collectively, these findings highlight the metabolic vulnerabilities associated with PCC deficiency and underscore the increased risk of prolonged fasting in patients with PA, particularly those with severe disease.

genetics↗

bioRxiv2026

Natural and breeding selection converge on overlapping haplotypes with divergent directions and outcomes in wheat

Understanding how natural and breeding selection interact to shape crop genomes is essential for improving resilience under climate change. Here, we applied a k-mer-based, alignment-free haplotype assignment approach to whole-genome resequencing data from 827 wheat landraces representing seven geographic groups and 208 modern cultivars. We identified haplotypes associated with local adaptation that were enriched in specific agroecological regions, many of which were derived from wild-relative introgressions. Comparative analyses revealed that natural and breeding selection largely targeted overlapping haplotype sets, but often drove them in opposite directions. Notably, haplotypes conferring adaptive advantages were frequently associated with negative regulation of agronomic traits, explaining their reduced prevalence among breeding-selected haplotypes. These results reveal the genomic basis of trade-offs between environmental adaptation and productivity and offer a framework for exploiting adaptive diversity in wheat improvement.

plant biology↗

bioRxiv2026

lncRNAs contribute to caste differentiation as a regulatory layer in ants

Caste differentiation in ants represents one of the major evolutionary transitions and provides a unique model for studying developmental mechanisms underlying division of labor. Genetically identical individuals follow divergent epigenetically-regulated developmental trajectories that give rise to morphologically distinct phenotypes and specialized roles. While long non-coding RNAs (lncRNAs) are emerging as key epigenetic regulators across diverse biological systems, their specific contributions to caste development in social insects remain largely unexplored. Here, we conducted comprehensive transcriptomic analyses across major developmental stages of two evolutionarily and ecologically distinct ants Monomorium pharaonis and Acromyrmex echinatior, identifying over 10,000 lncRNAs. We demonstrated that lncRNAs exhibit dynamic, caste-specific expression patterns throughout development. We also identified a subset of lncRNAs displaying canalized expression patterns, characterized by progressively increasing caste bias and decreasing within-caste variation as development proceeds. Co-expression analyses revealed that canalized lncRNAs are functionally linked to canalized protein-coding genes, which are crucial regulators for caste differentiation. These canalized lncRNAs show striking tissue-specific enrichment consistent with canalized protein-coding genes. Functional validation through RNA interference revealed that canalized lncRNAs directly regulate caste-specific traits. Furthermore, juvenile hormone treatment capable of redirecting worker lncRNA expression profiles toward gyne-like patterns, with similar expression changes and tissue specificity to JH-responsive protein-coding genes, linking lncRNA regulation to established hormonal pathways controlling caste fate. Our findings establish lncRNAs as active architects of caste differentiation in social insects, demonstrating that these rapidly-evolving regulatory molecules contribute to the evolution and maintenance of social phenotypes through tissue-specific regulation of caste-associated developmental programs.

developmental biology↗

bioRxiv2025

Myeloid HDAC7 drives liver inflammation and systemic glucose dysregulation during diet-induced obesity

ObjectivesHistone deacetylase 7 (HDAC7), a classical HDAC family member, promotes LPS-inducible glycolysis and inflammatory mediator production in macrophages, innate immune cells that contribute to pathology in metabolic diseases. Here, we investigated myeloid HDAC7 functions in obesity-driven metabolic disease. MethodsWe used gain- and loss-of-function genetic approaches in mice to investigate myeloid HDAC7 functions in hepatic inflammation and metabolic disease, as well as associations with hepatic gene signatures characteristic of advanced chronic liver disease (CLD). ResultsTransgenic expression of Hdac7 in myeloid cells increased liver inflammation and liver mRNA levels of Ccl2 and Il1b, key inflammatory mediators linked to CLD. Liver glycogen levels were also decreased, another feature of CLD. Transgenic expression of Hdac7 in myeloid cells mimicked the hepatic inflammatory phenotype that was observed in mice fed a high fat, high cholesterol, and high sucrose (HFHCHS) diet, an obesity model that mimics some features of metabolic dysfunction-associated steatotic liver disease. In myeloid Hdac7 transgenic mice fed a HFHCHS diet, relative weight gain was increased, fasted glucose levels were elevated and glucose tolerance was dysregulated by comparison to control mice. Conversely, fasted blood glucose levels were reduced and glucose tolerance was improved in myeloid Hdac7-deleted mice on a HFHCHS diet. HDAC7 mRNA levels were also elevated in the livers of people with advanced CLD and spatial transcriptomics revealed that myeloid HDAC7 directs hepatic gene signatures characteristic of advanced CLD. ConclusionsMyeloid HDAC7 contributes to hepatic inflammation and systemic glucose dysregulation in a mouse model of obesity and liver inflammation.

immunology↗

bioRxiv2025

Rapid ecosystem collapse and biofilter formation following seabed methane leakage

Globally, vast amounts of methane are trapped within subseafloor gas hydrates. Recent evidence suggests that climate- and human-induced perturbations can destabilize gas hydrates and trigger methane release, yet the response of deep-sea ecosystems to these changes remains poorly understood. Here we show multi-year in situ monitoring of seabed ecosystem following methane leakage induced by hydrate exploration activities. Within just two years, benthic microbial and eukaryotic diversity in the affected areas declined significantly, while microbial and macrofaunal abundance increased. Integrated geochemical and omics analyses reveal the rapid successional shift of seabed ecosystem to a novel chemosynthetic system. Aerobic methanotrophs (Methyloprofundus) co-established with unexpectedly fast growing anaerobic methanotrophic archaea (ANME-3), accompanied by a rapid recruitment of opportunistic polychaetes that bioirrigated the seabed to >50 cm depths. The active animal-microbe interactions sustained exceptionally high rates of methane oxidation that utilized diverse electron acceptors. We demonstrate that methane hydrate destabilization can trigger rapid collapse of native seabed ecosystem while driving the formation of an effective methane biofilter consuming this potent greenhouse gas much faster than previously estimated. Understanding seabed ecosystem response and feedback is critical for predicting benthic methane cycling under ongoing global change and for developing sustainable strategies for methane hydrate resource management.

ecology↗

bioRxiv2025

Graphene nanoedge electronics for monolithic and chronic recording of local microcircuits at neuronal density

High-density single-unit recording among closely spaced neurons over long durations is crucial for understanding the cellular-level functional architecture of the brain. Existing brain probes, however, either laterally sample neurons far more sparsely than neuronal density in the same cortical layer or suffer from long-term instability due to electrode modification, preventing precise neuron-to-neuron interrogation in local microcircuits. Here, we report a monolithic graphene-edge probe (NeuroEdge) that achieves single-unit recording at neuronal density (16 electrodes within 100 {micro}m diameter). We fabricate NeuroEdge using self-assembled reduced graphene oxide nanoflakes to form an electrochemically active tip consisting of exposed graphene nanoedges and electrolyte-filling nanotunnels, achieving an ultralow specific impedance of 20 M{Omega} {micro}m2. In vivo experiments over 5 months demonstrate recording at a high signal-to-noise ratio (>20 dB) and reliable interrogation of neighboring neurons. We also show that NeuroEdge can record from a single auditory cortical layer and reveal heterogeneities in the acoustic frequency response and dynamic connectivity among neighboring neurons. NeuroEdge provides a tool for precisely interrogating local microcircuits at the density of neurons in the brain.

bioengineering↗

bioRxiv2025

Genetic Ablation and Multi-Omics Profiling Reveal CEP55 as a Key Driver of Tumorigenesis in Diverse Cancer Models

BackgroundCEP55 is a centrosomal protein with emerging oncogenic roles. It is overexpressed in many cancers, where it drives genomic instability, phenocopies PTEN loss and hyperactivates the PI3K/AKT pathway, thereby promoting aggressive and therapy-resistant tumors. MethodsWe developed an inducible Cep55 knockout (KO) mouse model as well as generated primary, immortalized (SV40), and transformed (E1A/Ras) mouse embryonic fibroblasts (MEFs) for functional and proteomic assays. Tumorigenesis was studied using E1A/Ras MEF transplantation and a Pten-deficient genetically engineered mouse model (GEMM). Multi-omics apparatus including proteomics, and spatial transcriptomics, histopathology, immunobloting and functional assays were employed to elucidate underlying mechanisms. Findings were cross-validated using human cancer datasets. ResultsCep55 ablation remodeled the extracellular matrix (ECM), disrupted integrin and oncogenic signaling, reduced AKT/ERK activation, and induced stress pathways. Cep55 knockouts (KO) cells showed impaired proliferation, migration, invasion, and adhesion. In vivo, unlike the embryonic lethality observed in constitutive KOs, the inducible Cep55 deletion was well-tolerated in adult mice. Strikingly, tumors derived from Cep55-null EIA/RAS-transformed MEFs exhibited delayed onset and progression. In the genetically engineered cancer-prone mouse model, Cep55 deletion on a Pten-deficient background led to a greater than seven-fold increase in median survival. Spatial transcriptomics on cancerous tissues revealed that CEP55 regulates ECM remodeling, integrin expression, trafficking, and cell adhesion, supporting its critical role in tumor progression to metastasis. ConclusionCEP55 is dispensable for adult homeostasis but essential for tumorigenesis, especially with PTEN loss. Its deletion suppresses transformation, delays tumor growth, and prolongs survival, supporting CEP55 as a therapeutic target in PTEN-deficient cancers. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/685219v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@3d81e8org.highwire.dtl.DTLVardef@1bd5a7org.highwire.dtl.DTLVardef@167ecf3org.highwire.dtl.DTLVardef@1f57b95_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

Lipid Metabolism Remodeling in Human Cardiomyocyte Differentiation and Maturation

During cardiac development, metabolic remodeling is characterized by a transition from glycolysis-dependent energy production to reliance on fatty acid oxidation. Lipids function as essential energy substrates and structural components throughout cardiac formation and maturation. However, the dynamic changes in endogenous lipid species during human cardiac development remain incompletely elucidated. In this study, we delineated distinct lipidomic profiles of human embryonic stem cells (ESCs), mesoderm (MES), cardiac progenitors (CPCs), immature cardiomyocytes (CMs), and mature CMs derived from ESCs using high-performance liquid chromatography (HPLC). Notably, ceramide concentrations peaked at the CPC stage, suggesting a pivotal role in mediating the MES-to-CPCs transition. Concurrently, lipid metabolites including GM3, phosphatidylcholine (PC), lysophosphatidylcholine (LPC), and lysophosphatidic acid (LPA) were significantly upregulated in mature CMs. Integrative transcriptomic and chromatin accessibility analyses further refined the landscape of lipid remodeling during CM differentiation. Functional assays demonstrated that LPA enhances the stability of the beating rhythm in CPCs, while both PC and LPA facilitate CM maturation. Collectively, our findings establish a comprehensive and dynamic lipidomic atlas of human cardiogenesis, providing a novel framework to advance the understanding of lipid-mediated regulatory mechanisms in human heart development.

developmental biology↗

bioRxiv2025

Human Organoids Reveal PTEN-driven Mesendoderm Specification via Retinoic Acid Signaling Suppression

During early embryogenesis, epiblast cells ingress through the primitive streak (PS) and commit to a mesendoderm (MES) fate, giving rise to both mesodermal and endodermal lineages. Despite advancements in human organoid technology for modeling pre-implantation blastocyst stage, robust systems that accurately recapitulate MES specification and PS formation during the post-implantation stage remain limited. Here, we show that human induced pluripotent stem cells can be used to generate three-dimensional MES organoids that faithfully mimic in vivo human MES specification, particularly from the anterior PS. We demonstrate that MES organoid formation is dependent on PTEN expression and that loss of PTEN severely impairs the formation of mesoderm and definitive endoderm derivatives arising from MES organoids. To elucidate the molecular mechanisms underlying these defects, we conducted an integrative multi-omics analysis, including transcriptome, chromatin accessibility profiling, metabolism, and phosphoproteomics, on wild-type and PTEN-/-MES cells. These analyses revealed that PTEN suppresses retinoic acid (RA) signaling during MES lineage commitment. Furthermore, we identified the RA-degrading enzyme CYP26A1 as a downstream effector of PTEN. Notably, while excessive RA induced by PTEN ablation is detrimental to MES cell generation, physiological levels of RA are necessary. Collectively, our human MES organoids offer a valuable model for dissecting early human development, and our findings identify PTEN as a key regulator of MES fate commitment through inhibition of RA signaling.

developmental biology↗

bioRxiv2025

New Evidence of Altered Gut Microbiota in Autism Spectrum Disorders through Metagenomic Analysis

Cumulative evidence suggests alterations of gut microbiota in children with Autism Spectrum Disorder (ASD). However, due to highly diverse research approaches, the distinctive microbial patterns and underlying mechanisms driving ASD etiology remain elusive. Here, we constructed the metagenomic dataset of gut microbiota derived from Chinese children with ASD, incorporating a longitudinal study to explore the pivotal role of gut microbiota in the pathogenesis of ASD. At the bacterial species level, we identified a notable increase in the relative abundance of Clostridium scindens, which exhibited a positive correlation with the cholate degradation pathway and showing a decline concurrent with improved behavior in ASD children. Within the fungal community, we observed significant dysbiosis in twenty-six species, underlining their robust discriminatory potential between ASD and neurotypical subjects. Metabolic pathways related to mitochondrial dysfunction were enriched in ASD, alongside peptidoglycan, glutamate, and nucleotide pathways, suggesting potential interactions between the gut and brain through the innate immune system and vagus nerve in ASD. Our findings underscore the significance of the fungal community and mitochondrial dysfunction in ASD etiology, while also shedding light on how perturbed metabolic functions of gut microbiota collectively contribute to the pathogenesis of ASD.

microbiology↗

bioRxiv2025

Pyrimethamine inhibits mutant NRF2 as a molecular glue

Esophageal squamous cell carcinoma (ESCC) is a deadly disease and one of the most aggressive cancers of the gastrointestinal tract. As a master transcription factor regulating the stress response, nuclear factor erythroid 2-related factor 2 (NRF2) is often mutated, loses negative regulation by Kelch-like ECH-associated protein 1 (KEAP1), becomes hyperactive, and thus causes chemo-radioresistance and poor survival in human ESCC. Our previous research identified pyrimethamine (PYR) as an NRF2 inhibitor and demonstrated that inhibition of dihydrofolate reductase (DHFR) is the major mechanism of its action. Based on these findings, PYR has advanced into a Phase I window-of-opportunity clinical trial. In this study, using isogenic ESCC cell lines, we aimed to investigate the phenotypic consequences of NRF2 activation in ESCC cells and further elucidate the mechanism of action of PYR. While overexpression of wild-type NRF2 (NRF2WT) promoted squamous differentiation and suppressed proliferation, expression of mutant NRF2 (NRF2Mut) produced mixed effects on differentiation markers and promoted proliferation. NRF2 activation reduced sensitivity to chemotherapy and radiation, whereas PYR treatment restored chemosensitivity and radiosensitivity in NRF2Mut ESCC cells. Co-immunoprecipitation and proximity ligation assays revealed that PYR selectively enhanced the interaction between NRF2W24C and KEAP1, but not between NRF2WT and KEAP1. Isothermal titration calorimetry (ITC) confirmed the direct binding of PYR to KEAP1 and surface plasmon resonance (SPR) showed that PYR modestly facilitated the interaction between a DLGW24C peptide and the Kelch fragment. Molecular docking suggested that PYR bound to a pocket within the Kelch domain near Arg415. In summary, NRF2 activation promotes cell proliferation and therapy resistance in ESCC in a context-dependent manner. PYR functions as a modest molecular glue that selectively restores KEAP1 binding to NRF2W24C, providing a potential therapeutic strategy for NRF2Mut ESCC.

cancer biology↗

bioRxiv2025

Genetic Insights of Image-Based Traits: Analysis Pipeline for AI-based Phenotyping, Combined-GWAS, and Federated Learning with Application to the Human Face

Biological images capture rich morphological information and understanding their genetic basis is crucial for elucidating underlying molecular mechanisms, relevant in biomedical, evolutionary, and forensic research and applications. However, progress in understanding the genetic basis of image-based complex traits is hindered by key limitations in the current methodology, regarding both, the degree of which the large image complexity is captured with the phenotyping methods and how the analysis methods deal with the underlying large genetic complexity. Here, we present a robust, scalable, privacy-preserving computer pipeline for analysing image-based complex traits and unveiling their genetic basis by integrating (i) AI-based phenotyping for large-scale extraction of image-based traits across cohorts in a federated learning framework, without sharing individual images; (ii) Combined-GWAS (C-GWAS) for identifying genetic variants underlying the numerous AI-derived image-based traits; and (iii) Explainable AI (XAI)-based image visualization of the identified genetic association effects. In its first application to the example of the human face, we analysed 3D facial images and genomic data from two European cohorts (N=7,309), extracted 200 AI-derived facial traits, identified 43 significantly face associated genetic loci, including 12 novel ones, and replicated 70% of them in an independent European dataset (N=8,246). XAI-based visualization of the identified genetic effects shows the involvement of many of these loci in different parts of the face. Our study provides a privacy-aware and extensible pipeline for investigating the genetic basis of image-based complex traits implemented in a computationally efficient python package available at GitLab and its first application yielded new insights into the genetic architecture of facial shape variation.

genetics↗

bioRxiv2025

Determine Protein Interaction Affinity without Purification Reveals a Two-enzyme Co-recognition of SUMOylation Substrate using Quantitative FRET (qFRET) Technology

Protein-protein interaction is the most fundamental process in life, and the quantification and manipulation of protein interaction activation or inhibition are critical for a comprehensive understanding of physiological processes and the development of new medicines that modulate protein-protein interactions. Due to its essential roles in physiology and pathology, many methodologies and technologies have been developed to determine the interaction events and parameters of interaction affinity. However, due to the nature of these methodologies, interactive partner needs to be purified, and large quantities of proteins are needed. This significantly limits quantitatively understanding of protein interaction and its application in therapeutics development. Recently, a quantitative FRET(qFRET) method was developed to determine purified protein-protein interaction affinity for purified proteins in vitro. Here, for the first time, we report the development of a high-throughput approach to determining the protein interaction affinity between two un-purified proteins using a quantitative FRET assay(qFRET). Two proteins, SUMO E2 conjugating enzyme, Ubc9, and RanGap1c, were first employed for the methodology development. We then determined the interaction affinities of Ubc9 and PIAS1 with influenza A virus NS1 protein without purifying two interactive partners. We found that both enzymes have high affinities to interaction affinity to the NS1, and this provides a kinetics explanation for the SUMOylation two-enzyme co-recognition mechanism to achieve high substrate specificity in vivo. The protein interaction affinity determination without purification provides several advantages over the current methods, including high accuracy, no tedious protein purification process, and high-throughput assay. The novel approach, so-called High-throughput determination of protein interaction affinity, KD, without purification using quantitative FRET assay, and scientific discoveries, representing a significant advancement in technology and scientific discovery, holds great potential for large-scale protein-protein interaction affinity determinations in vitro and in vivo. TeaserA novel qFRET technology for protein interaction affinity determination without protein purification for two-enzyme recognition.

bioengineering↗