Biology subjects

Jung, S.

Publications and source records attributed to Jung, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

PERK retains a predominantly monomeric state under ER stress conditions

The unfolded protein response (UPR) is a central adaptive mechanism that safeguards protein homeostasis in the endoplasmic reticulum (ER). In the heart, UPR signaling contributes to cellular remodeling and survival across a range of pathological contexts, including ischemia, pressure overload, and cardiometabolic stress. Among the three canonical UPR branches, the PKR-like ER kinase (PERK) pathway plays a critical role in modulating translational control and redox balance during stress adaptation. Despite its functional importance, the molecular dynamics of PERK activation and assembly remain incompletely understood. Here, we investigate the oligomerization behavior of PERK in living cells using advanced fluorescence microscopy. We identify a concentration-dependent mechanism of PERK self-association, as well as a distinct population of oligomeric PERK whose assembly state remains stable upon ER stress induction. These findings challenge the traditional view of stress-induced oligomerization as a prerequisite for PERK activation and suggest the existence of non-canonical modes of PERK assembly with potential regulatory significance.

cell biology↗

bioRxiv2025

Lipid droplets promote the aberrant liquid-liquid phase separation of alpha-synuclein leading to impaired energy homeostasis

Alpha-synuclein (Syn) inclusions, termed Lewy bodies, are the characteristic neuropathological feature of Parkinsons disease. Growing evidence points towards a role of aberrant liquid-liquid phase separation in the dysregulation of Syn and sequence of events that lead to the formation of Lewy bodies. However, the triggers leading to aberrant phase separation are unknown, as is the relevance of this phenomenon to the neurodegeneration process. In this study, we showed that Syn spontaneously phase separates into condensates in the presence of lipid droplets. These lipid droplet-rich condensates represent a toxic species of Syn that prevents the turnover of the entrapped lipid droplets; they are also toxic to neighbouring mitochondria which are depolarized and undergo increased mitophagy. These findings underscore the increasing importance of lipid droplets in the pathogenesis of neurodegenerative diseases, and Parkinsons disease in particular. The lipid droplets are significantly enriched within the neuromelanin in midbrain dopaminergic neurons in the substantia nigra and could therefore uniquely facilitate the early Syn-associated neurodegeneration of this region in PD. Our findings reveal a novel pathway implicated in the dysregulation of Syn that connects aberrant liquid-liquid phase separation, lipid droplets and mitochondrial toxicity.

neuroscience↗

bioRxiv2025

XomicsDB: a database of paired multi-omics datasets for systems biology

Life science research is primarily driven by data integration on the basis of theoretical development. Broad applications of multiomics (xomics) data calls for efficient integration of xomics data to infer cellular operation and regulation. To that end, it is urgently needed good-quality xomics data should be curated and shared for the community. Here we present XomicsDB, a database curating paired xomics datasets at both bulk and single-cell levels in model organisms. It contains 183 datasets from 13 model organisms, with a total of seven xomics data types. Users can download these datasets individually or in a batch from the ftp server provided. Users can also upload their paired xomics datasets for sharing. Incoporation of xomics data intom GSMs are demonstrated in model organisms Escherichia coli and human. Future efforts will be on collecting more single-cell xomics data and curating non-model oragnisms. The XomicsDB can be found at: http://xomicsdb.com.

systems biology↗

bioRxiv2025

Single-sequence deep learning delivers crystal-quality models of covalent K-Ras G12 hotspot complexes

Structure-based design of covalent drugs has achieved tremendous success by understanding and leveraging the three-dimensional interactions between small-molecule drug candidates and their protein targets. However, this approach traditionally relies on high-resolution co-complex structures obtained by X-ray crystallography, NMR, or cryo-EM, methods that are time-consuming and resource-intensive. Here we show that Chai-1, a publicly available structure prediction tool that accepts user-defined ligands, is able to accurately predict covalent K-Ras(G12C) complexes without using a multiple sequence alignment (MSA). Chai-1 yields pocket-aligned RMSDs <2 [A] for chemically diverse K-Ras(G12C) inhibitors, ranging from ARS-853 to BBO-8520. In addition to the conventional acrylamide-based covalent K-Ras(G12C) inhibitors, Chai-1 with a covalent-bond restraint successfully reproduced the binding poses of covalent K-Ras(G12D) and K-Ras(G12S) inhibitors, while showing limitations in capturing chemical details such as accounting for leaving-groups, bond properties, and stereochemistry. Chai-1 also provides [~]40-fold higher throughput than state-of-the-art AlphaFold3 while maintaining comparable pose accuracy. Together, these findings establish Chai-1 as an accessible and computationally efficient tool for covalent protein-ligand co-complex structure prediction, with its covalent-restraint mode offering a unique solution to accelerate covalent drug discovery, especially for challenging targets beyond cysteine. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/676163v2_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@bcbad5org.highwire.dtl.DTLVardef@8e2baborg.highwire.dtl.DTLVardef@1d507a2org.highwire.dtl.DTLVardef@e851ef_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

Intestinal catabolism of dietary fructose promotes obesity and insulin resistance via ileal lacteal remodeling

High-fructose corn syrup (HFCS) consumption is a risk factor for obesity and metabolic syndrome, yet the underlying mechanisms are incompletely understood. Catabolism of dietary fructose primarily occurs in the small intestine and liver, with fructose breakdown in the liver being pathological, while small intestinal fructose clearance protects the liver. Here, we unexpectedly found that inhibition of fructose catabolism specifically in the small intestine mitigates fructose-induced obesity and insulin resistance. Mechanistically, blocking intestinal fructose catabolism reduces dietary fat absorption, which is associated with a decrease in the surface area of the ileal lacteals and alterations in gut microbiome. Fecal transplantation experiments revealed that such a microbiome stimulates the intestine-resident macrophages, promoting lacteal growth and boosting dietary fat absorption. Given the preclinical and clinical studies reporting the effect of fructose catabolism suppression on mitigating diet-induced obesity, our data suggest that such effects are partly mediated by intestinal lacteal remodeling. Significance StatementHere, we uncover a previously unappreciated link between intestinal fructose catabolism and ileal lacteal remodeling, suggesting the mechanisms by which fructose intake promotes obesity. Using mice lacking the fructose-processing enzyme specifically in the intestine, we show that blocking intestinal fructose metabolism protects against diet-induced obesity by reducing fat absorption. Changes in gut microbiome and immune cell interactions drive this effect.

physiology↗

bioRxiv2025

A2AR-mediated inhibition of B cell maturation: a novel mechanism of immune suppression in cancer

High levels of extracellular adenosine, highly abundant in the tumor microenvironment, promote immune suppression mainly through the A2AR expressed by tumor-infiltrating immune cells. Here we show that plasma cells are the most negatively affected by adenosine among the immune cells present in the tumor microenvironment. Furthermore, both tonsillar and tumor-associated B cells, including germinal center (GC)-like B cells, plasma cells and plasma blasts (PCs and PBs, respectively, and collectively referred to as antibody-secreting cells (ASCs), express high levels of A2AR. Given the importance of tumor-infiltrating B and PCs in antitumor responses, we investigated how adenosine impairs their numbers and function. Triggering of A2AR inhibited B cell maturation into ASCs and immunoglobulin production in vitro, and impaired upregulation of PC genes upon stimulation. These effects were restored by inupadenant (EOS100850), a potent and highly selective small molecule A2AR antagonist. Spatial transcriptomics analysis of tumor biopsies from patients treated with inupadenant revealed that ASCs specifically increased in tertiary lymphoid structures. Altogether, these data demonstrate that A2AR plays a key role in adenosine-mediated inhibition of B cell maturation toward ASCs through a B cell-intrinsic mechanism, and that this effect is fully reverted by inupadenant.

immunology↗

bioRxiv2025

Defined human tri-lineage brain microtissues

Microglia are the immune cells of the central nervous system and are thought to be key players in both physiological and disease conditions. Several microglial features are poorly conserved between mice and human, such as the function of the neurodegeneration-associated immune receptor Trem2. Induced pluripotent stem cell (iPSC)-derived microglia offer a powerful opportunity to generate and study human microglia. However, human iPSC-derived microglia often exhibit activated phenotypes in vitro, and assessing their impact on other brain cell types remains challenging due to limitations in current co-culture systems. Here, we developed fully defined brain microtissues, composed of human iPSC-derived neurons, astrocytes, and microglia, co-cultured in 2D or 3D formats. Our microtissues are stable and self-sufficient over time, requiring no exogenous cytokines or growth factors. All three cell types exhibit morphologies characteristic of their in vivo environment and show functional properties. Co-cultured microglia develop more homeostatic phenotypes compared to microglia exposed to exogenous cytokines. Hence, these tri-cultures provide a unique approach to investigate cell-cell interactions between brain cell types. We found that astrocytes and not neurons are sufficient for microglial survival and maturation, and that astrocyte-derived M-CSF is essential for microglial survival. Single-cell and single-nucleus RNA sequencing analyses nominated a network of reciprocal communication between cell types. Brain microtissues faithfully recapitulated pathogenic -synuclein seeding and aggregation, suggesting their usefulness as human cell models to study not only normal but also pathological cell biological processes.

neuroscience↗

bioRxiv2025

Development of Rosaceae Crop-Specific Nanopore Models for Community Use Through the Genome Database for Rosaceae

Oxford Nanopore Technologies (ONT) sequencing platforms have enabled scientists to generate sequence reads of 20 kilobase or more, which has facilitated the assembly of complete genomes. Nanopore sequencing involves recording the change in electrical signals as the DNA molecule transverses the pore. Converting this signal information into bases - a process called basecalling - is challenging and require the implementation of machine learning. The models developed for ONT basecallers have continually improved. However, the mean quality of the reads generated fall below a Phred score of 20 (99% accuracy), the target quality for high-quality genome assembly, when used on challenging plant samples. These low-quality base calls limit the ability to conduct de novo genome assembly, accurate phasing of haplotypes, and long-read genotyping. To overcome these shortcomings, we fine-tuned ONTs high accuracy basecalling model using Bonito, an AI-based deep learning basecaller, to develop crop-specific models for five important species in the Rosaceae family. These species include highly valuable tree crops such as apple, peach, pear, plum, and sweet cherry. Through the development of an automated training pipeline, we were able to achieve [~]14% higher mean and median basecall quality, and a [~]20% increase in total reads with Phred scores >15. These results were achieved without significantly affecting the read length N50s and total reads called. As a result, these new crop-specific models will enable members of the Rosaceae genomics community to produce higher quality ONT sequencing data. Furthermore, we are releasing our automated pipeline to facilitate others to train their own organism or crop-specific models.

genomics↗

bioRxiv2025

Improved genome assembly of double haploid Prunus persica siblings Lovell 2D and Lovell 5D and the peach NLRome

Prunus persica (peach) has long served as a model fruit tree for studying phenological events. It has a relatively small genome and exhibits tremendous plasticity in climate tolerances due to the high variation of chill requirements, bloom times, and fruit ripening times. The peach variety Lovell 2D was used to generate one of the first high-quality genome assemblies for a tree species, using Sanger sequencing of genetic-map ordered BAC clones. A key to the high quality of this early assembly was the use of a doubled haploid variety, which eliminates the challenges posed by mixed haplotypes. Here, we re-sequenced and assembled the Lovell 2D genome along with a doubled haploid sibling Lovell 5D using 3rd generation technologies. The resulting genomes were significantly more contiguous than the current Lovell 2D reference genome (ver2.0 updated in 2017) and are closer to the estimated total genome size for peach (265Mb). In addition, new gene, transposable element (TE), and Nucleotide-binding domain and Leucine-rich repeat receptor (NLR) annotations were performed to enhance the integrity and utility of the genome. These updated peach doubled-haploid reference assemblies will provide the research community with an improved reference genome for genomics-guided studies and breeding efforts.

genomics↗

bioRxiv2025

Differential Sensitivity of Impedance Plethysmography andPhotoplethysmography Sensors to Temperature-Induced PeripheralVasoconstriction

Impedance plethysmography (IPG) and photoplethysmography (PPG) are non-invasive techniques for measuring blood volume changes. This study investigated the differential responses of IPG and PPG to temperature-mediated vasoconstriction induced by localized cooling. Twenty-one participants underwent control and treatment conditions, with real or fake ice cubes applied to the forearm. PPG signal amplitude significantly decreased with cooling (p < 0.001), indicating sensitivity to capillary blood flow changes. In contrast, IPG signal amplitude remained stable, suggesting it primarily reflects blood flow in larger/deeper vessels. Blood pressure remained stable, while heart rate decreased. These findings suggest IPG is less sensitive to capillary-level changes than PPG and may be more suitable for monitoring deeper blood flow. This study provides insights into the distinct sensitivities of IPG and PPG, with implications for wearable device development and cardiovascular monitoring.

physiology↗

bioRxiv2025

Expression and Characterization of SARS-CoV-2 Spike Protein in Thermothelomyces heterothallica C1

The COVID-19 pandemic demonstrated a pressing need for rapid, adaptive, and scalable manufacturing of vaccines and reagents. With the transition into an endemic disease and rising threats of other emerging pandemics, production of these biologicals requires a stable and sustainable supply chain and accessible distribution methods. In this study, we demonstrate the strength of an engineered filamentous fungal platform, Thermothelomyces heterothallica C1, for high volumetric productivity of the full-length spike glycoprotein. Spike protein produced in this system is highly thermostable and immunization of mice with spike made in C1 or mammalian platforms resulted in a similar humoral response. Additionally, it was shown that the native N-glycan profile can be redecorated with complex sialylated structures, if necessary, resulting in a more human-like glycan profile, without impacting binding characteristics as shown experimentally and in simulations. Through extensive physicochemical analysis, the C1 produced spike performs similarly to spike proteins produced in other commercially available systems. The data presented is evidence that C1 can be a strong platform for production of complex glycosylated recombinant proteins such as subunit antigen vaccines.

bioengineering↗

bioRxiv2025

Synergistic Antitumor Activity of SUMO1 degrader and Oxaliplatin through G6PD Inhibition in Colorectal Cancer

Colorectal cancer (CRC) stands as one of the primary causes of death despite advancements in targeted therapies and chemotherapeutic methods. The oxaliplatin-based chemotherapy, such as the FOLFOX, remains limited by its toxic side effects and the development of drug resistance. The current studies demonstrate redox homeostasis as an important therapeutic target in cancer cells through the discovery of glucose-6-phosphate dehydrogenase (G6PD) as their major controller of oxidative stress and survival. In this study, we investigated the therapeutic potential of HB007 in combination with FOLFOX in CRC. Treatment with HB007 decreased the enzyme activity of G6PD and generated high ROS concentrations, which subsequently induced intrinsic apoptosis. When combined with FOLFOX, which also induces ROS and inhibits G6PD activity, HB007 showed synergistic cytotoxicity in vitro, in colon patient-derived 3D organoids, and in vivo patient-derived xenograft model, including FOLFOX-resistant tumors. The combination treatment mechanistically targeted G6PD activity, disrupted redox balance, and activated apoptosis without affecting G6PD protein level. These findings suggest that G6PD inhibition by HB007 enhances the efficacy of FOLFOX, suggesting a strategy to overcome chemoresistance and improve therapy in advanced CRC.

cancer biology↗

bioRxiv2025

Multiscale Spatial Mapping of Microbial Communities for Biotherapeutic Development

Live biotherapeutic products (LBPs) are emerging as powerful tools to modulate the microbiome using well-defined microbial communities. Yet, designing, manufacturing, and delivering LBPs remains challenging, in part due to a lack of technologies capable of analyzing LBPs as complete, spatially organized consortia. Conventional sequencing-based methods lack sensitivity and specificity and do not provide critical spatial information. To address this, we present high-phylogenetic-resolution spatial mapping platform (HiPR-Map), a state-of-the-art spectral imaging technology that enables precise enumeration and spatial localization of microbial cells at species-level within complex communities. Through these advantages, HiPR-Map provides unique insights for LBP discovery and development. Applying HiPR-Map to an LBP designed to complement immune checkpoint therapy, we profiled over 1.8 million microbial cells engrafted in the murine gut. Our analysis revealed distinctive microbial spatial organization, underscoring the power of imaging-based microbiome profiling to optimize LBP design and characterization. This work highlights the transformative potential of spatial microbiome analysis for next-generation LBP development.

microbiology↗

bioRxiv2025

Rapid catecholamine trafficking regulates neutrophil functions and neutrophil-platelet interactions

Neutrophils are key effector cells of the innate immune system that respond to small signaling molecules regulating immune responses. For a long time, similarities between neuronal and immune cells have been discussed. Here, we show that human neutrophils rapidly take up, package and use catecholamine neurotransmitters such as dopamine or epinephrine via the machinery known from neurons. Uptake and release of catecholamines as well as trafficking and packaging into MPO/VMAT2-positive primary vesicles is visualized with false fluorescent neurotransmitters. We also directly image the fast (> 10 s) and transient release of catecholamines from neutrophils with near infrared fluorescent nanosensors. Serotonin or activated platelets trigger calcium (Ca2+) signaling and consequently exocytosis of catecholamines. They reduce NET-formation but increase platelet aggregation. Thus, we establish similarities between neurons and neutrophils and identify a paracrine neutrophil-platelet feedback loop relevant for inflammatory and coagulatory conditions.

immunology↗

bioRxiv2024

Soybean Cyst Nematode-Resistant Protein AATRhg1 Affects Amino Acid Homeostasis and Betalain Accumulation

Amino acid transporters play crucial roles in plant nitrogen metabolism but also defense responses. AATRhg1, an apparent amino acid transporter encoded by Glyma.18g022400 (Rhg1-GmAAT) at the soybean Rhg1 locus, contributes to resistance to soybean cyst nematode (SCN), although the in planta function of AATRhg1 remains elusive. In this study we discovered that overexpression of Rhg1-GmAAT in soybean roots enhances the betalain pigment synthesis driven by a RUBY transgene cassette, potentially through its transporter activity affecting tyrosine level and amino acid homeostasis. Silencing Rhg1-GmAAT also moderately increased betalain accumulation while co-overexpression of Rhg1-GmAAT and GmRBOHG (encoding an AATRhg1-interacting NADPH oxidase) blocked the betalain phenotype, indicating a complex role of AATRhg1 in regulating cellular metabolism. Soybean AATRhg1 did not show a betalain accumulation phenotype when co-overexpressed with RUBY in Nicotiana benthamiana leaves, suggesting that soybean AATRhg1 functions differently in N. benthamiana. In soybean, the expression of AATRhg1 proteins mutated at conserved residues D122A or Y268L mitigated or enhanced the betalain phenotypes, respectively, suggesting that these residues are important for AATRhg1 function. This study advances our understanding of AATRhg1 while presenting a novel strategy for enhancing betalain biosynthesis by modulating transport and homeostasis of amino acids.

plant biology↗

bioRxiv2024

Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming

Boolean networks provide robust explainable and predictive models of cellular dynamics, especially for cellular differentiation and fate decision processes. Yet, the construction of such models is extremely challenging, as it requires integrating prior knowledge with experimental observation of transcriptome, potentially relating thousands of genes. We present a general methodology, implemented in the software tool BoNesis, for the qualitative modeling of gene regulation behind the observed state changes from transcriptome data and prior knowledge of the gene regulatory network. BoNesis allows computing ensembles of Boolean networks, where each of them is able to reproduce the modeled differentiation process. We illustrate the scalability and versatility of BoNesis with two applications: the modeling of hematopoiesis from single-cell RNA-Seq data, and modeling the differentiation of bone marrow stromal cells into adipocytes and osteoblasts from bulk RNA-seq time series data. For this later case, we took advantage of ensemble modeling to predict combinations of reprogramming factors for trans-differentiation that are robust to model uncertainties due to variations in experimental replicates and choice of binarization method. Moreover, we performed an in silico assessment of the fidelity and efficiency of the reprogramming, and conducted preliminary experimental validation.

systems biology↗

bioRxiv2024

IDH-mutant gliomas arise from glial progenitor cells harboring the initial driver mutation

Discovering the cell-of-origin harboring the initial driver mutation provides a fundamental basis for understanding tumor evolution and development of new treatments. For isocitrate dehydrogenase (IDH)-mutant gliomas - the most common malignant primary brain tumors in adults under 50 - the cell-of-origin remains poorly understood. Here, using patient brain tissues and genome-edited mice, we identified glial progenitor cells (GPCs), including oligodendrocyte progenitor cells (OPCs), as the glioma-originating cell type harboring the IDH mutation as the initial driver mutation. We conducted comprehensive deep sequencing, including droplet digital PCR and deep panel and amplicon sequencing to 128 tissues from 62 patients (29 IDH-mutant gliomas and 33 IDH-negative controls) comprising tumors, normal cortex or normal subventricular zone (SVZ), and blood. Surprisingly, low-level IDH mutation was found in the normal cortex away from the tumor in 38.5% (10 of 26) of IDH-mutant glioma patients, whereas no IDH mutation was detected in the normal SVZ. Furthermore, by analyzing cell-type-specific mutations, the direction of clonal evolution, the single-cell transcriptome from patient brains and novel mouse model of IDH-mutant glioma arising from mutation-carrying OPCs, we determined that GPCs, including OPCs, harboring the initial driver mutation are responsible for the development and evolution of IDH-mutant gliomas. In summary, our results demonstrate that GPCs containing the IDH mutation are the cells-of-origin harboring the initial driver mutation in IDH-mutant gliomas.

cancer biology↗

bioRxiv2024

Upper bill bending as an adaptation for nectar feeding in hummingbirds

Observations of maxillary (upper bill) bending in hummingbirds have been considered an optical illusion, yet a recent description of out-of-phase opening and closing between their bill base and tip suggests a genuine capacity for bill bending. We investigate bill kinematics during nectar feeding in six species of hummingbirds. We employed geometric morphometrics to identify bending zones and combined these data with measurements of bill flexural rigidity from microCT scans to better understand the flexing mechanism. We found that the mandible remains in place throughout the licking cycle, while the maxilla undergoes significant shape deformation, such that the distal portion of the upper bill bends upwards. We propose that bill bending is a key component of the drinking mechanism in hummingbirds, allowing the coordination of bill function (distal wringing and basal expansion) and tongue function (raking/squeegeeing) during intraoral transport. We present a fluid analysis that reveals a combination of pressure-driven (Poiseuille) and boundary-driven (Couette) flows, which have previously been thought to represent alternative drinking mechanisms. Bill bending allows for separation of the bill tips while maintaining a tightly closed middle section of the bill, enabling nectar exploitation in long and narrow flowers that can exclude less efficient pollinators.

evolutionary biology↗