Biology subjects

Cho, J.-H.

Publications and source records attributed to Cho, J.-H..

16 recordsLinked to original sources

bioRxiv2026

Network analysis of correlated conformational dynamics across the evolution of influenza A virus NS1

Protein evolution requires sequence changes to alter molecular properties without disrupting the dynamic organization necessary for function. How residue-level networks of correlated motions accommodate such mutations remains poorly understood. Here, we investigate the evolution of correlated conformational dynamics in nonstructural protein 1 (NS1) variants of influenza A viruses that emerged between 1918 and 2004. From molecular dynamics (MD) simulations we built residue networks in which edge weights reflect generalized correlations of conformational motion. The network of correlated dynamics is characterized using centrality analysis. Overall network properties are well-conserved across NS1 variants, indicating evolutionary robustness of the dynamical network. Residues ranked highly across multiple centrality measures form a predominantly hydrophobic cluster in the protein core. These residues exhibited low conformational entropy and high sequence conservation, consistent with rigid, coordinated motions. In contrast, residues exhibiting large differences in betweenness and closeness centrality ranks occupied flexible, solvent-exposed regions surrounding the core network. These residues also showed lower evolutionary conservation. These findings reveal a core-periphery structure in which a rigid hydrophobic network enables long-range dynamic connectivity while more adaptable peripheral regions accommodate evolutionary sequence variation. This architecture provides a mechanistic framework for long-range epistatic interactions without compromising the underlying structural framework.

biophysics↗

bioRxiv2026

PETase Kubu enables near-complete enzymatic depolymerization of commercial PLA/PBAT blend mulch film

Agricultural mulch films improve crop productivity, but post-use recovery and recycling remain difficult because the films are thin, fragmented, dispersed across fields, and contaminated. Commercial PLA/PBAT blends are increasingly used as biodegradable mulch film materials, yet these films exhibit slow or incomplete degradation under environmental conditions. Here, we show that Kubu, a thermostable PETase from Kutzneria buriramensis, rapidly depolymerizes commercial PLA/PBAT mulch film without pretreatment at 60 {degrees}C, achieving 95% mass loss within 96 h and releasing terephthalate, adipate, and lactate, detected by LC-MS/MS and HPLC, as the major monomeric products of both PBAT and PLA components. GPC and SEM revealed extensive degradation at the polymer-water interface. DiffDock docking against Kubu, IsPETase, and TfCut indicates that the canonical W/F(Y) cleft of the PETase/Cutinase fold accommodates aliphatic and aromatic ester bonds with comparable geometry, suggesting that substrate promiscuity is an inherent property of the cleft architecture. Kubus distinctive contribution combines this permissive cleft with catalytic activity sufficient for near-complete blend depolymerization within 24 h. Integration with a socioeconomic analysis shows that complete enzymatic depolymerization could avoid social costs up to $4,087 per ton of mulch film. These findings establish a single-enzyme approach to end-of-life management of heterogeneous polyester blends.

bioengineering↗

bioRxiv2026

A Multicopper Oxidase from Paenibacillus polyethylenelyticus JNU01 Oxidizes Polyethylene

Polyethylene (PE) is a widely used plastic that persists in the environment and resists breakdown via microbial degradation. In this work, we discovered a new bacterium, Paenibacillus polyethylenelyticus JNU01, that grows on a PE-like wax (PELW, 4 kDa) as its sole carbon source, causing chemical modifications to the substrate and releasing small-molecule products. Genomic and transcriptomic analyses identified a multicopper oxidase (PpMmcO) as a key enzyme candidate for this observed activity. PpMmcO caused surface oxidation, increased hydrophilicity, and the release of oxygenated products such as ketones, alkanes, and alkenoic acids. Scanning electron microscopy confirmed surface damage on both PELW and post-use greenhouse PE films. Weight loss analysis showed mass losses of 5.2% for the PELW powder and 1.6% for the greenhouse PE film after treatment with wild-type PpMmcO. We propose a radical-mediated pathway catalyzed by PpMmcO. These findings identify a new bacterium and enzyme capable of initiating PE oxidation and provide insight into biological processes that may act on polyethylene.

microbiology↗

bioRxiv2025

Molecular mechanism by which SARS-CoV-2 Orf9b suppresses the Tom70-Hsp90 interaction to evade innate immunity

The Tom70-Hsp90 interaction is critical for activating MAVS-mediated interferon (IFN) production. Upon RNA virus infection, cytosolic Hsp90 recruits key innate immune signaling proteins to MAVS on mitochondria through its interaction with Tom70. To evade this innate immune response, the SARS-CoV-2 protein Orf9b binds to Tom70, thereby disrupting the Tom70-Hsp90 interaction and suppressing IFN production. Despite its importance, the molecular mechanism underlying Orf9b-mediated inhibition of IFN signaling remains unclear. Here, using an integrative approach combining cryo-electron microscopy, 19F NMR spectroscopy, and isothermal titration calorimetry (ITC), we show that Orf9b inhibits Hsp90 binding to Tom70 through a bipartite mechanism. The helix and intrinsically disordered tail of Orf9b sterically block the access of two distinct structural units of Hsp90 to Tom70. We also find that Orf9b-mediated allosteric conformational changes in Tom70 do not contribute to the inhibition of the Hsp90 binding. Comprehensive structural, thermodynamic, and kinetic analyses further reveal that Orf9b primarily slows the association kinetics between Hsp90 and Tom70. Collectively, our results provide a high-resolution mechanistic framework for understanding Orf9b-mediated suppression of the host innate immune response.

biophysics↗

bioRxiv2025

Overcoming effects of heterogeneous binding on BLI analysis

Binding characteristics, such as kon, koff, and KD, are critical for mechanistic study of biomolecular interactions and drug design. Biolayer interferometry (BLI) has become popular due to its simplicity and sensitivity. Despite its widespread use, BLI data analysis is susceptible to various non-ideal features in sensorgrams. One commonly observed issue is a persistent signal drift after the binding process reaches an expected steady state. The basis of this phenomenon, often referred to as heterogeneous binding, remains poorly understood. In this study, we find that analyte aggregation on the biosensor, particularly induced by ligand-analyte complexes, can contribute to heterogeneous binding. We also find that heterogeneous binding affects not only the association phase but also the dissociation process, leading to erroneous binding characteristics. We propose an approach to mitigate the adverse impacts of heterogeneous binding on the BLI analysis. Since accurate binding characterization is fundamental for many biophysical analyses, addressing this issue is crucial.

biophysics↗

bioRxiv2025

Protein Synthesis Blockade Prevents Fear Memory Reactivation via Inhibition of Engram Synapse Strengthening

Memory relies on ensembles of engram cells in the brain. While previous studies have established the existence of these cells, the relationship between cellular and synaptic activity remains unclear. To address this, we applied the dual e-GRASP technique in mice to examine synaptic connectivity between the ventral CA1 and the basal amygdala during memory formation. We found that contextual fear conditioning increased engram-to-engram synapse (engram synapse) density and induced structural potentiation, underscoring their importance in associative memory. Additionally, we investigated the role of protein synthesis in memory formation by inducing retrograde amnesia using anisomycin, a protein synthesis inhibitor. Mice injected with anisomycin once (1xANI) showed impaired natural recall but still displayed fear responses upon optogenetic reactivation of engram cells. In contrast, mice that received four anisomycin injections over six hours (4xANI) showed significantly impaired natural recall and failed to exhibit fear responses upon optogenetic reactivation. This behavioural phenotype was correlated with synaptic changes: 1xANI mice exhibited no significant reduction in engram synapse density but had significantly smaller spine sizes, whereas 4xANI mice showed both a significant reduction in engram synapse density and spine size. Our results indicate that protein synthesis inhibition significantly reduces engram synapse density and spine size, changes that correlate with reductions in fear memory during both natural recall and artificial reactivation.

neuroscience↗

bioRxiv2024

Extracellular vesicles regulate metastable phenotypes of lymphangioleiomyomatosis cells via shuttling ATP synthesis to pseudopodia and activation of integrin adhesion complexes.

Pulmonary lymphangioleiomyomatosis (LAM) is metastatic sarcoma but mechanisms regulating LAM metastasis are unknown. Extracellular vesicle (EV) regulate cancer metastasis but their roles in LAM have not yet been investigated. Here, we report that EV biogenesis is increased in LAM and LAM EV cargo is enriched with lung tropic integrins, metalloproteinases, and cancer stem cell markers. LAM-EV increase LAM cell migration and invasion via the ITG6/{beta}1-c-Src-FAK-AKT axis. Metastable (hybrid) phenotypes of LAM metastasizing cells, pivotal for metastasis, are regulated by EV from primary tumor or metastasizing LAM cells via shuttling ATP synthesis to cell pseudopodia or activation of integrin adhesion complex, respectively. In mouse models of LAM, LAM-EV increase lung metastatic burden through mechanisms involving lung extracellular matrix remodeling. Collectively, these data provide evidence for the role of EV in promoting LAM lung metastasis and identify novel EV-dependent mechanisms regulating metastable phenotypes of tumor cells. Clinical impact of research is that it establishes LAM pathway as novel target for LAM therapy.

cancer biology↗

bioRxiv2023

Homeostatic Dysregulation of Systemic CD8+ T Cell Compartment in Lung Cancer Patients

Cancer adapts various resistance mechanisms to counteract CD8+ T cell attacks. While this suppression of antigen-specific CD8+ T cells is common within the tumor microenvironment, little is known about how tumors affect CD8+ T cells systemically. Here we show a new link between tumor-associated homeostatic dysregulation and uncontrolled differentiation of peripheral blood CD8+ T cells. These CD8+ T cells exhibited progressive alterations indicative of diminished quiescence, increased spontaneous activation, and more-differentiated proliferation-incompetent effector cells. This phenomenon was not limited to tumor-reactive cells but broadly applicable to non-specific cells, correlating with poor clinical responses to immune checkpoint inhibitor therapy. These findings provide a new mechanism by which cancer impairs CD8+ T cells by dysregulating the homeostasis of systemic CD8+ T cell populations. One-Sentence SummaryCancer-associated homeostatic dysregulation accelerates uncontrolled differentiation of systemic CD8+ T cells.

immunology↗

bioRxiv2023

Metabolic reprogramming of cancer cells by JMJD6-mediated pre-mRNA splicing is associated with therapeutic response to splicing inhibitor

Dysregulated pre-mRNA splicing and metabolism are two hallmarks of MYC-driven cancers. Pharmacological inhibition of both processes has been extensively investigated as potential therapeutic avenues in preclinical and clinical studies. However, how pre-mRNA splicing and metabolism are orchestrated in response to oncogenic stress and therapies is poorly understood. Here, we demonstrate that Jumonji Domain Containing 6, Arginine Demethylase and Lysine Hydroxylase, JMJD6, acts as a hub connecting splicing and metabolism in MYC-driven neuroblastoma. JMJD6 cooperates with MYC in cellular transformation by physically interacting with RNA binding proteins involved in pre-mRNA splicing and protein homeostasis. Notably, JMJD6 controls the alternative splicing of two isoforms of glutaminase (GLS), namely kidney-type glutaminase (KGA) and glutaminase C (GAC), which are rate-limiting enzymes of glutaminolysis in the central carbon metabolism in neuroblastoma. Further, we show that JMJD6 is correlated with the anti-cancer activity of indisulam, a "molecular glue" that degrades splicing factor RBM39, which complexes with JMJD6. The indisulam-mediated cancer cell killing is at least partly dependent on the glutamine-related metabolic pathway mediated by JMJD6. Our findings reveal a cancer-promoting metabolic program is associated with alternative pre-mRNA splicing through JMJD6, providing a rationale to target JMJD6 as a therapeutic avenue for treating MYC-driven cancers.

cancer biology↗

bioRxiv2023

Hypothalamic neuronal activation in primates drives naturalistic goal-directed eating behavior

Eating addiction is the primary cause of modern obesity. Although the causal role of the lateral hypothalamic area (LHA) for eating is demonstrated in rodents, there is no evidence in primates regarding naturalistic eating behaviors. We investigated the role of LHA GABAergic (LHAGABA) neurons in eating by chemogenetics in three macaques. LHAGABA neuron activation significantly increased naturalistic goal-directed behaviors and food motivation, which was specific for palatable food. PET and MRS validated the chemogenetic activation. Rs-fMRI result revealed that functional connectivity (FC) between the LHA and frontal areas was increased, while the FC between the frontal cortices was decreased after the LHAGABA neuron activation. Thus, our study elucidates the role of LHAGABA neurons in eating and obesity therapeutics for primates and humans.

neuroscience↗

bioRxiv2023

Mature microRNA-binding protein QKI promotes microRNA-mediated gene silencing

Although Argonaute (AGO) proteins have been the focus of microRNA (miRNA) studies, we observed AGO-free mature miRNAs directly interacting with RNA-binding proteins, implying the sophisticated nature of fine-tuning gene regulation by miRNAs. To investigate microRNA-binding proteins (miRBPs) globally, we analyzed PAR-CLIP data sets to identify RBP quaking (QKI) as a novel miRBP for let-7b. Potential existence of AGO-free miRNAs were further verified in genetically engineered AGO-depleted human and mouse cells. We have shown that QKI serves as an auxiliary factor empowering AGO2/let-7b-mediated gene silencing. Depletion of QKI decreases interaction of AGO2 with let-7b and target mRNA, consequently controlling target mRNA decay. QKI, however, also suppresses the dissociation of let-7b from AGO2, and slows assembly of AGO2/miRNA/target mRNA complexes at the single-molecule level. We also revealed that QKI suppresses cMYC expression at post-transcriptional level, and decreases proliferation and migration of HeLa cells, demonstrating that QKI is a tumor suppressor gene by in part augmenting let-7b activity. Our data show that QKI is a new type of RBP implicated in the versatile regulation of miRNA-mediated gene silencing.

biochemistry↗

bioRxiv2022

The energy landscape reshaped by strain-specific mutations underlies the long-range epistasis in NS1 evolution of influenza A virus

The mechanisms underlying how individual mutations affect the protein energy landscape are crucial for understanding how proteins evolve. However, predicting mutational effects remains challenging because of epistasis--the nonadditive interactions between mutations. Here, we investigate the biophysical mechanism of strain-specific epistasis in the nonstructural protein 1 (NS1) of the influenza A virus (IAV). To understand the molecular basis of epistasis, we conducted comprehensive analyses of four NS1s of IAV strains that emerged between 1918 and 2004. We find that strain-specific mutations of NS1s are near-neutral with respect to the association with the p85{beta} subunit of PI3K. However, the individual residues on the p85{beta}-binding interface show long-range epistatic interactions with strain-specific mutations. We reveal that strain-specific mutations reshaped the energy landscape of NS1, leading to long-range epistasis. Our findings offer a high-resolution mechanism of how near-neutral mutations silently alter the biophysical energy landscapes, resulting in diverse background effects during molecular evolution.

biophysics↗

bioRxiv2020

Molecular mapping of qBK1Z, a major QTL for bakanae disease resistance in rice

Bakanae disease is a fungal disease of rice (Oryza sativa L.) caused by the pathogen Gibberella fujikuroi (also known as Fusarium fujikuroi). Recently the disease incidence has increased in several Asian countries and continues to spread throughout the world. No rice varieties have been developed yet to be completely resistant to this disease. With increasing need to identify various genetic resources to impart resistance to local elite varieties, this study was carried out to identify novel quantitative trait loci (QTLs) from an indica variety Zenith. We performed a QTL mapping using 180 F2:9 recombinant inbred lines (RILs) derived from a cross between the resistant variety, Zenith, and the susceptible variety, Ilpum. A primary QTL study using the genotypes and phenotypes of the RILs indicated that the locus qBK1z conferring bakanae disease resistance from the Zenith was located in a 2.8 Mb region bordered by the two SSR markers, RM1331 and RM3530 on chromosome 1. The log of odds (LOD) score of qBK1z was 13.43, accounting for 30.9% of the total phenotypic variation. A finer localization of qBK1z was delimited at an approximate 730 kb interval in the physical map between Chr01_1435908 (1.43 Mbp) and RM10116 (2.16 Mbp). The development of a rice variety with a higher level of resistance against bakanae disease is a major challenge in many rice growing countries. Introducing qBK1z or pyramiding with other previously identified QTLs could provide effective genetic control of bakanae disease in rice.

plant biology↗

bioRxiv2019

Low handgrip strength is closely associated with anemia among adults: A cross-sectional study using Korea National Health and Nutrition Examination Survey (KNHANES)

BackgroundAnemia occurs because of insufficient hemoglobin, which provides oxygen to the body. Because of its close relationship with various illnesses, it must always be investigated clinically. Previous studies have demonstrated an association between hemoglobin concentration and handgrip strength. Thus, we aimed to analyze the association between handgrip strength and anemia in Korean adults to determine whether the handgrip strength test can be used as a tool to identify anemia.\n\nMethodsThe research subjects data were extracted from the 6th and 7th Korean National Health and Nutrition Examination Survey, between January 2013 and December 2017. Overall, data of 16,637 adults (weighted n= 9,734,598) were analyzed. Differences in sociodemographic factors (sex, age, education, income, and employment), lifestyle factors (alcohol consumption, smoking, and physical activity), and illness and health factors (body mass index, vitamin intake, iron intake, comorbid illnesses, and handgrip strength) by existence of anemia were analyzed using a chi square test. Binary logistic regression was performed to identify factors of anemia. Subgroup analysis, stratified by sex and age, was performed.\n\nResultsAmong Korean adults aged [≥] 19 years, 745,296 (7.7%) had anemia. Higher odds ratio (OR) of anemia occurred in the weak handgrip strength group compared to the strong handgrip strength group (OR=1.92, 95% CI: 1.58-2.33). The subgroup analysis showed a higher OR for anemia in the weak handgrip strength group than in the strong handgrip strength group, regardless of sex or age. However, the results showed that this association was greater for males (OR=2.13, 95% CI: 1.35-3.34) and for those aged [≥]65 years (OR=1.92, 95% CI: 1.42-2.58).\n\nConclusionThis study showed a strong association between handgrip strength and anemia, which was particularly strong for males and those aged [≥]65 years. Therefore, it is anticipated that handgrip strength can be used in anemia screening tests as a useful tool.

epidemiology↗

bioRxiv2017

Distinct neuronal activity patterns induce different gene expression programs

Brief and sustained neuronal activity patterns can have opposite effects on synaptic strength that both require activity-regulated gene (ARG) expression. However, whether distinct patterns of activity induce different sets of ARGs is unknown. In genome-scale experiments, we reveal that a neurons activity-pattern history can be predicted from the ARGs it expresses. Surprisingly, brief activity selectively induces a small subset of the ARG program that that corresponds precisely to the first of three temporal waves of genes induced by sustained activity. These first-wave genes are distinguished by an open chromatin state, proximity to rapidly activated enhancers, and a requirement for MAPK/ERK signaling for their induction. MAPK/ERK mediates rapid RNA polymerase recruitment to promoters, as well as enhancer RNA induction but not histone acetylation at enhancers. Thus, the same mechanisms that establish the multi-wave temporal structure of ARG induction also enable different sets of genes to be induced by distinct activity patterns.

neuroscience↗

bioRxiv2016

Metabolome Identification by Systematic Stable Isotope Labeling Experiments and False Discovery Analysis with a Target-Decoy Strategy

We introduce a formula-based strategy and algorithm (JUMPm) for global metabolite identification and false discovery analysis in untargeted mass spectrometry-based metabolomics. JUMPm determines the chemical formulas of metabolites from unlabeled and stable-isotope labeled metabolome data, and derives the most likely metabolite identity by searching structure databases. JUMPm also estimates the false discovery rate (FDR) with a target-decoy strategy based on the octet rule of chemistry. With systematic stable isotope labeling of yeast, we identified 2,085 chemical formulas (10% FDR), 892 of which were assigned with metabolite structures. We evaluated JUMPm with a library of synthetic standards, and found that 96% of the formulas were correctly identified. We extended the method to mammalian cells with direct isotope labeling and by heavy yeast spike-in. This strategy and algorithm provide a powerful a practical solution for global identification of metabolites with a critical measure of confidence.

biochemistry↗