Biology subjects

Hwang, P.

Publications and source records attributed to Hwang, P..

9 recordsLinked to original sources

bioRxiv2026

Environmental Regulation and Gene-by-Environment Interaction Influence RAP1 Activity and its Impact on Gene Expression

Gene-by-environment (GxE) interactions play a major role in shaping both phenotypic and molecular variation, with important implications for human health and disease. In this study, we used the Doxycycline (Dox) regulated, tetracycline-responsive (Tet-Off) promoter system to sequentially reduce or titrate gene expression levels of the essential yeast transcription factor Repressor Activator Protein 1 (RAP1) similar to a hypomorph allele series, across three distinct environments: Yeast Peptone Dextrose (YPD) media, YPD media with Heat Shock (HS), and Yeast Peptone Acetate (YPAC) media. We then performed RNA sequencing (RNA Seq) to assess global transcriptional responses to RAP1 reduction in these different growth environments. Our analysis first focused on the independent effects of varying RAP1 expression levels within and across environments. We then explored GxE interactions, revealing a subset of genes with significant consequences of reduced levels of RAP1 and environment-specific expression patterns. Notably, many genes exhibited opposite effects of RAP1 titration on gene expression when yeast were grown in YPAC media compared to YPD media and/or HS, suggesting environment-dependent regulatory architecture. This design reveals how cells integrate internal transcriptional and regulatory changes with external environmental cues, providing a deeper view of GxE architecture. Using Weighted Gene Co-expression Network Analysis (WGCNA), we identified co-regulated gene modules, and by combining this with transcription factor motif enrichment tests, our study identified candidate regulators driving their dynamics. Our findings demonstrate that gene regulatory networks can vary dramatically depending on the environmental context an organism experiences, which can then influence the specific phenotypes produced by a particular genetic perturbation. This illustrates the complexity of genotype-environment interactions and the importance of studying gene function in multiple environments to gain a truly comprehensive understanding of a genes sometimes numerous and diverse functions.

genomics↗

bioRxiv2025

Simple 3D-Printed Stirred Bioreactor Enhances Retinal Organoid Production Via Improved Oxygenation

Retinal organoids (ROs), derived from human pluripotent stem cells (hPSCs), simulate in vivo development and retinal morphology, providing a platform to study retinal development and diseases. However, current differentiation protocols often yield inconsistent results with substantial cell line and batch variability. These protocols utilize static culture methods that rely on passive oxygen diffusion to reach the vessel bottom, where adherent hPSCs initially differentiate. Static culture is standard for adherent monolayer cells and is presumed suitable for RO differentiation. We questioned this assumption given that, during differentiation, the monolayer hPSCs become highly structured and multi-layered, first as neural rosettes and then as optic vesicles (OVs). We hypothesized that the cellular oxygen consumption rate would exceed the rate of delivery via passive diffusion, particularly to inner regions of emerging OVs. To test this hypothesis, we measured dissolved oxygen concentrations at the vessel bottom and found that within hours of media change, oxygen dropped to < 1 %, a level considered non-physiologically hypoxic, which imperils cell viability. This non-physiological hypoxia caused OV degeneration, hypoxic marker expression, and necrosis. To address this problem, we developed a novel 3D-printed stirred bioreactor (SBR) that maintains physiological oxygen levels between [~]4-6%. This approach significantly improved organoid yield, quality, and reproducibility while being easily adaptable to typical laboratory cell culture workflows. We conclude that non-physiological hypoxia, a previously unappreciated condition, is a limiting factor underlying inconsistent yield and quality in RO production. Physiological oxygenation levels can be restored by the SBR platform, resulting in greater consistency and improved production outcomes.

bioengineering↗

bioRxiv2024

Microglia modulate cerebral blood flow and neurovascular coupling through ectonucleotidase CD39

Microglia and the border-associated macrophages (BAMs) contribute to the modulation of cerebral blood flow (CBF), but the mechanisms have remained ill-defined. Here, we show that microglia regulate the CBF baseline and upsurges after whisker stimulation or intracisternal magna injection of adenosine triphosphate (ATP). Genetic or pharmacological depletion of microglia reduces the activity-dependent hyperemia but not the cerebrovascular responses to adenosine stimulation. Notably, microglia repopulation corrects these CBF reactivity deficits. The microglial-dependent regulation of CBF requires the ATP-sensing P2ry12 receptor and the ectonucleotidase CD39 that initiates the breakdown of extracellular ATP. Pharmacological inhibition or microglia-specific deletion of CD39 simulates the CBF anomalies detected in microglia-deficient mice and reduces the rise of extracellular adenosine after whisker stimulation. Together, these results suggest that the microglial CD39-initiated conversion of extracellular ATP to adenosine is an important step in neurovascular coupling and the regulation of cerebrovascular reactivity.

neuroscience↗

bioRxiv2024

Structural basis of autoantibody binding in Neuromyelitis Optica

Neuromyelitis Optica (NMO) is an autoimmune disease of the central nervous system where pathogenic autoantibodies target the human astrocyte water channel aquaporin-4 causing neurological impairment. Autoantibody binding leads to complement dependent and complement independent cytotoxicity, ultimately resulting in astrocyte death, demyelination, and neuronal loss. Aquaporin-4 assembles in astrocyte plasma membranes as symmetric tetramers or as arrays of tetramers. We report molecular structures of aquaporin-4 alone and bound to Fab fragments from patient-derived NMO autoantibodies using cryogenic electron microscopy. Each antibody binds to epitopes comprised of three extracellular loops of aquaporin-4 with contributions from multiple molecules in the assembly. The structures distinguish between antibodies that bind to the tetrameric form of aquaporin-4, and those targeting higher order orthogonal arrays of tetramers that provide more diverse bridging epitopes. One-Sentence SummaryPathogenic autoantibodies in Neuromyelitis Optica distinguish multiply presented epitopes on arrays of human aquaporin-4.

immunology↗

bioRxiv2024

CHAI: Consensus Clustering Through Similarity Matrix Integration for Cell-Type Identification

Several methods have been developed to computationally predict cell-types for single cell RNA sequencing (scRNAseq) data. As methods are developed, a common problem for investigators has been identifying the best method they should apply to their specific use-case. To address this challenge, we present CHAI (consensus Clustering tHrough similArIty matrix integratIon for single cell type identification), a wisdom of crowds approach for scRNAseq clustering. CHAI presents two competing methods which aggregate the clustering results from seven state of the art clustering methods: CHAI-AvgSim and CHAI-SNF. Both methods demonstrate improved performance on a diverse selection of benchmarking datasets, besides also outperforming a previous consensus clustering method. We demonstrate CHAIs practical use case by identifying a leader tumor cell cluster enriched with CDH3. CHAI provides a platform for multiomic integration, and we demonstrate CHAI-SNF to have improved performance when including spatial transcriptomics data. CHAI is intuitive and easily customizable; it provides a way for users to add their own clustering methods to the pipeline, or down-select just the ones they want to use for the clustering aggregation. CHAI is available as an open source R package on GitHub: https://github.com/lodimk2/chai

bioinformatics↗

bioRxiv2024

GNN codon adjacency regulates protein translation

The central dogma treats the ribosome as a molecular machine that reads one mRNA codon at a time as it adds each amino acid to its growing peptide chain. However, this and previous studies suggest that ribosomes actually perceive pairs of adjacent codons as they take three-nucleotide steps along the mRNA. We examined GNN codons which we find are surprisingly overrepresented in eukaryote protein-coding open reading frames (ORFs), especially immediately after NNU codons. Ribosome profiling experiments in yeast revealed that ribosomes with NNU at their aminoacyl (A) site have particularly elevated densities when NNU is immediately followed (3) by a GNN codon, indicating slower mRNA threading of the NNU codon from the ribosomes A to peptidyl (P) sites. Moreover, if the assessment was limited to ribosomes that have only recently arrived at the next codon, by examining 21-nucleotide ribosome footprints (21-nt RFPs), elevated densities were observed for multiple codon classes when followed by GNN. This striking translation slowdown at adjacent 5-NNN GNN codon pairs is likely mediated in part by the ribosomes CAR surface which acts as an extension of the A-site tRNA anticodon during ribosome translocation and interacts through hydrogen bonding and pi stacking with the GNN codon. The functional consequences of 5-NNN GNN codon adjacency are expected to influence the evolution of protein coding sequences. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/583757v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@d29087org.highwire.dtl.DTLVardef@e8f7dorg.highwire.dtl.DTLVardef@1ee5792org.highwire.dtl.DTLVardef@b750fb_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

molecular biology↗

bioRxiv2021

Rapid Characterization of AAV gene therapy vectors by Mass Photometry

Recombinant adeno-associated viruses (rAAV) are extensively used as gene delivery vectors in clinical studies, and several rAAV based treatments have already been approved. Significant progress has been made in rAAV manufacturing, and large-scale vector production and purification methods have been developed. However, a better and more precise capsid characterization techniques are still needed to guarantee the purity and safety of the rAAV preparations. A recently developed single-molecule technique, mass photometry (MP), measures mass distributions of biomolecules with high resolution and sensitivity. Here we explore applications of MP for the characterization of capsid fractions. We demonstrate that MP is able to resolve and quantify not only empty and full-genome containing capsid populations, but also identify the partially packaged capsid impurities. MP data accurately measures full and empty capsid ratios, and can be used to estimate the size of the encapsidated genome. MP distributions provide information on sample heterogeneity and on the presence of aggregates. Current analytical techniques used to characterize rAAV preparations are susceptible to background signals, have limited accuracy, or are time-consuming and require a large amount of material. MP can analyze sub-picomole quantities of sample, and data can be obtained and analyzed within minutes. This method provides a simple, robust, and effective tool to monitor physical attributes of rAAV vectors.

biophysics↗

bioRxiv2020

Peptide Antidotes to SARS-CoV-2 (COVID-19)

The design of an immunogenic scaffold that serves a role in treating a pathogen, and can be rapidly and predictively modeled, has remained an elusive feat. Here, we demonstrate that SARS-BLOCK synthetic peptide scaffolds act as antidotes to SARS-CoV-2 spike protein-mediated infection of human ACE2-expressing cells. Critically, SARS-BLOCK peptides are able to potently and competitively inhibit SARS-CoV-2 S1 spike protein receptor binding domain (RBD) binding to ACE2, the main cellular entry pathway for SARS-CoV-2, while also binding to neutralizing antibodies against SARS-CoV-2. In order to create this potential therapeutic antidote-vaccine, we designed, simulated, synthesized, modeled epitopes, predicted peptide folding, and characterized behavior of a novel set of synthetic peptides. The biomimetic technology is modeled off the receptor binding motif of the SARS-CoV-2 coronavirus, and modified to provide enhanced stability and folding versus the truncated wildtype sequence. These novel peptides attain single-micromolar binding affinities for ACE2 and a neutralizing antibody against the SARS-CoV-2 receptor binding domain (RBD), and demonstrate significant reduction of infection in nanomolar doses. We also demonstrate that soluble ACE2 abrogates binding of RBD to neutralizing antibodies, which we posit is an essential immune-evasive mechanism of the virus. SARS-BLOCK is designed to "uncloak" the viral ACE2 coating mechanism, while also binding to neutralizing antibodies with the intention of stimulating a specific neutralizing antibody response. Our peptide scaffolds demonstrate promise for future studies evaluating specificity and sensitivity of immune responses to our antidote-vaccine. In summary, SARS-BLOCK peptides are a promising COVID-19 antidote designed to combine the benefits of a therapeutic and vaccine, effectively creating a new generation of prophylactic and reactive antiviral therapeutics whereby immune responses can be enhanced rather than blunted.

bioengineering↗

bioRxiv2019

The international sinonasal microbiome study (ISMS): a multi centre, international characterization of sinonasal bacterial ecology

The sinonasal microbiome remains poorly defined, with our current knowledge based on a few cohort studies whose findings are inconsistent. Furthermore, the variability of the sinus microbiome across geographical divides remains unexplored. We characterise the sinonasal microbiome and its geographical variations in both health and disease using 16S rRNA gene sequencing of 410 individuals from across the world. Although the sinus microbial ecology is highly variable between individuals, we identify a core microbiome comprised of Corynebacterium, Staphylococcus, Streptococcus, Haemophilus, and Moraxella species in both healthy and chronic rhinosinusitis (CRS) cohorts. Corynebacterium (mean relative abundance = 44.02%) and Staphylococcus (mean relative abundance = 27.34%) appear particularly dominant in the majority of patients sampled. There was a significant variation in microbial diversity between countries (p = 0.001). Amongst patients suffering from CRS with nasal polyps, a significant depletion of Corynebacterium (40.29% vs 50.43%; p = 0.02) and over-representation of Streptococcus (7.21% vs 2.73%; p = 0.032) was identified. The delineation of the sinonasal microbiome and standardised methodology described within our study will enable further characterisation and translational application of the sinus microbiota.

microbiology↗