Biology subjects

Chung, H. J.

Publications and source records attributed to Chung, H. J..

9 recordsLinked to original sources

bioRxiv2025

Enhancing the protein fitness of interferon-lambda through computational design and glyco-engineering for prophylactic nasal drugs against respiratory viruses

Interferon-{lambda} (IFN-{lambda}), a type III interferon that selectively targets epithelial cells, holds strong potential as an intranasal antiviral due to its ability to suppress respiratory virus replication without inducing systemic inflammation. However, clinical translation of human IFN-{lambda}3 (hIFN-{lambda}3) is hindered by limited thermostability, protease susceptibility, and rapid mucosal clearance. In this study, instability-prone elements in hIFN-{lambda}3 are eliminated through artificial intelligence (AI)-based backbone remodeling and targeted surface hydrophobic patch engineering. A protease-sensitive loop is replaced with a de novo -helix, which shields neighboring hydrophobic patches and forms a new hydrophobic core, yielding an engineered variant (hIFN-{lambda}3-DE1) with enhanced thermostability (Tm >90{degrees}C), protease resistance, and preserved antiviral activity and structural integrity even after extended heat stress (two weeks at 50{degrees}C). Further glyco-engineering introduces an N-linked glycan at a site distant from receptor-binding interfaces, improving solubility, production yield, and diffusion through synthetic nasal mucus. Intranasal administration of the resulting variant (G-hIFN-{lambda}3-DE1) enables effective mucosal penetration and provides robust prophylactic protection against influenza A virus infection in an in vivo mouse model. These findings highlight a robust and versatile strategy that combines AI-driven structural design with glyco-engineering to develop scalable, bioavailable, and functionally enhanced nasal biologics for respiratory virus prophylaxis.

biochemistry↗

bioRxiv2024

Nanoscale organization is changed in native, surface AMPARs by mouse brain region and tauopathy

The distribution of synaptic and extra-synaptic AMPA receptors (AMPARs) on neuronal plasma membranes is correlated with learning and memory. Although AMPAR organization has been extensively studied in neuronal cultures, its native cell-surface distribution in intact adult brain tissue across distinct brain regions and in neurodegenerative pathology remains poorly understood. Here, we combine a selective small-molecule labeling strategy with two-color 3D super-resolution dSTORM imaging to map native surface AMPAR organization at the nanoscale in 30 micron thick mouse brain slices. We find that wild-type mice exhibit marked regional differences in AMPAR organization, with the CA1 hippocampus containing a substantially larger extrasynaptic AMPAR pool than the nearby motor and somatosensory cortex. In the PS19 tauopathy mouse model, at an age preceding overt neurodegeneration, AMPAR organization is selectively disrupted in the hippocampus but largely preserved in the cortex. Specifically, we observe depletion of the extrasynaptic receptor pool together with reduced synaptic nanodomain organization, revealing early molecular-scale synaptic remodeling associated with tau pathology. These findings provide direct structural insight into region- and disease-dependent AMPAR organization in intact adult brain tissue and establish a broadly applicable framework for nanoscale investigation of synaptic receptor architecture in health and neurological disease.

neuroscience↗

bioRxiv2024

Automatic dendritic spine segmentation in widefield fluorescence images reveal synaptic nanostructures distribution with super-resolution imaging

Relating dendritic spine morphology to synaptic organization in brain tissue is essential for understanding excitatory synaptic transmission and plasticity. Single-molecule localization microscopy (SMLM) offers the spatial precision needed to study the synaptic protein distribution at the nanoscale. However, the widefield setup required for SMLM produces diffraction-limited images with poor contrast and resolution in thick brain slices (> 30 m), making accurate segmentation of dendritic spines challenging. To overcome this challenge, we developed an automated 3D segmentation approach tailored to this condition by combining two existing machine-learning models. We integrated this strategy with SMLM-based localization of synaptic proteins to map post-synaptic protein PSD-95 within spines at nanoscale resolution. This framework, named ISEPLA (Integrated Spine Extraction and Protein Localization Analysis), revealed a hierarchical organization of synaptic proteins: spines contain multiple nanomodules, each composed of smaller nanodomains. Larger spines contain more nanomodules, and larger nanomodules comprise more nanodomains. Therefore, our method enables precise morphological and molecular analysis under physiologically relevant imaging conditions, providing new insights into the synaptic organization in spines.

neuroscience↗

bioRxiv2023

`Mind in Vitro' platforms: Versatile, scalable, robust and open solutions to interfacing with living neurons

Motivated by the unexplored potential of in vitro neural systems for computing, and by the corresponding need of versatile, scalable interfaces for multimodal interaction, we present an accurate, modular, fully customizable and portable recording/stimulation solution that can be easily fabricated, robustly operated, and broadly disseminated. A reconfigurable platform that works across multiple industry standards enables a complete signal chain, from neural substrates sampled through high-density Micro-Electrode Arrays (MEAs) to data acquisition, downstream analysis and cloud storage. Built-in modularity supports the seamless integration of electrical/optical stimulation and fluidic interfaces. Custom MEA fabrication leverages maskless photolithography, favoring the rapid prototyping of a variety of configurations and spatial topologies. Through a native analysis and management software suite, the utility and robustness of our system is demonstrated across neural cultures and applications, including embryonic stem cell-derived and primary neurons, organotypic brain slices, 3D engineered tissue mimics, concurrent calcium imaging and long-term recording. Overall, our technology, termed Mind in Vitro to underscore the computing inspiration, provides an end-to-end solution that can be widely deployed due to its affordable (>10X cost-reduction) and open-source nature, catering to the expanding needs of both conventional and unconventional electrophysiology.

neuroscience↗

bioRxiv2021

PIP2-dependent coupling of voltage sensor and pore domains in Kv7.2

Phosphatidylinositol-4,5-bisphosphate (PIP2) is a signaling lipid which regulates voltage-gated Kv7/KCNQ potassium channels. Altered PIP2 sensitivity of neuronal Kv7.2 channel is involved in KCNQ2 epileptic encephalopathy. However, the molecular action of PIP2 on Kv7.2 gating remains largely elusive. Here, we use molecular dynamics simulations and electrophysiology to characterize PIP2 binding sites in a human Kv7.2 channel. In the closed state, PIP2 localizes to the periphery of the voltage-sensing domain (VSD). In the open state, PIP2 binds to 4 distinct interfaces formed by the cytoplasmic ends of the VSD, the gate, intracellular helices A and B and their linkers. PIP2 binding induces bilayer-interacting conformation of helices A and B and the correlated motion of the VSD and the pore domain, whereas charge-neutralizing mutations block this coupling and reduce PIP2 sensitivity of Kv7.2 channels by disrupting PIP2 binding. These findings reveal the allosteric role of PIP2 in Kv7.2 channel activation.

biophysics↗

bioRxiv2020

AN EPILEPSY-CAUSING MUTATION LEADS TO CO-TRANSLATIONAL MISFOLDING

Protein folding to the native state is particularly relevant in human diseases where inherited mutations lead to structural instability, aggregation and degradation. In general, the amino acid sequence carries all the necessary information for the native conformation, but the vectorial nature of translation can determine the folding outcome. Calmodulin (CaM) recognizes the properly folded Calcium Responsive Domain (CRD) of Kv7.2 channels. Within the IQ motif (helix A), the W344R mutation found in epileptic patients has negligible consequences for the structure of the complex as monitored by multiple in vitro binding assays and molecular dynamic computations. In silico studies revealed two orientations of the side chain, which are differentially populated by WT and W344R variants. Binding to CaM is impaired when the mutated protein is produced in cellulo but not in vitro, suggesting that this mutation impedes proper folding during translation within the cell by forcing the nascent chain to follow a folding route that leads to a non-native configuration, and thereby generating non-functional ion channels that fail to traffic to proper neuronal compartments.

biophysics↗

bioRxiv2019

Three-dimensional label-free observation of individual bacteria upon antibiotic treatment using optical diffraction tomography

Measuring alterations in bacteria upon antibiotic application is important for basic studies in microbiology, drug discovery, and clinical diagnosis, and disease treatment. However, imaging and 3D time-lapse response analysis of individual bacteria upon antibiotic application remain largely unexplored mainly due to limitations in imaging techniques. Here, we present a method to systematically investigate the alterations in individual bacteria in 3D and quantitatively analyze the effects of antibiotics. Using optical diffraction tomography, in-situ responses of Escherichia coli and Bacillus subtilis to various concentrations of ampicillin were investigated in a label-free and quantitative manner. The presented method reconstructs the dynamic changes in the 3D refractive-index distributions of living bacteria in response to antibiotics at sub-micrometer spatial resolution.

microbiology↗

bioRxiv2019

Rapid and label-free identification of individual bacterial pathogens exploiting three-dimensional quantitative phase imaging and deep learning

The healthcare industry is in dire need for rapid microbial identification techniques. Microbial infection is a major healthcare issue with significant prevalence and mortality, which can be treated effectively during the early stages using appropriate antibiotics. However, determining the appropriate antibiotics for the treatment of the early stages of infection remains a challenge, mainly due to the lack of rapid microbial identification techniques. Conventional culture-based identification and matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy are the gold standard methods, but the sample amplification process is extremely time-consuming. Here, we propose an identification framework that can be used to measure minute quantities of microbes by incorporating artificial neural networks with three-dimensional quantitative phase imaging. We aimed to accurately identify the species of bacterial bloodstream infection pathogens based on a single colony-forming unit of the bacteria. The successful distinction between a total of 19 species, with the accuracy of 99.9% when ten bacteria were measured, suggests that our framework can serve as an effective advisory tool for clinicians during the initial antibiotic prescription. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/596486v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@786668org.highwire.dtl.DTLVardef@8b4eb4org.highwire.dtl.DTLVardef@1dc2452org.highwire.dtl.DTLVardef@1d4888c_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2018

Real-time monitoring of bacterial growth and fast antimicrobial susceptibility tests exploiting multiple light scattering

AbstractAntimicrobial susceptibility test (AST) is widely used to provide the minimum inhibitory concentration of bacteria, and crucial to provide appropriate uses of antibiotics and to address the issue of drug-resistance bacteria. However, ASTs require the time-consuming incubation about 16-20 h for the visual determination of the growth of bacterial colonies, which has been a major obstacle to on-site applications of ASTs. In this study, we propose a rapid and non-invasive method based on laser speckles to evaluate the bacterial growth movements in real time, thus reducing the time for the agar dilution method. With a simple configuration compatible with conventional agar plates, the analysis of laser speckle from samples enables the early detection of the presence of growth as well as its detailed history of the colony-forming movement on agar plates. Using the samples prepared through the same procedure as the agar dilution method, we obtained the AST results at least 4-8 hours earlier than the conventional method without compromising the accuracy. This technique does not require for the use of exogenous agents, but works for most bacteria regardless of their species. Furthermore, the distinctive responses of several species to microbial agents were revealed through the present technique supporting a comprehensive analysis of the effect of the antibiotics. The findings suggest that this new method could be a useful tool for rapid, simple, and low-cost ASTs in addition to providing the historical information of the bacterial growth on agar plates.

microbiology↗