Biology subjects

Kim, J.-K.

Publications and source records attributed to Kim, J.-K..

11 recordsLinked to original sources

bioRxiv2026

Ecological axes of skull diversification in a massive 1 vertebrate radiation

Eupercarian spiny-rayed fishes are one of the largest vertebrate radiations, rivaling mammals and occupying nearly every aquatic habitat. We present a densely sampled, time-calibrated phylogenomic framework for Eupercaria, supporting a revised classification, combined with the largest cranial phenomics dataset for fishes. Habitat and trophic ecology make independent, complementary contributions to skull shape. Most species cluster around a conserved generalized architecture, the Percomorph Pile, from which one clade of pufferfishes, anglerfishes, butterflyfishes, and surgeonfishes repeatedly invaded novel morphospace; exceptionally high rates on its deep branches indicate that rapid skull evolution arose early in this clade. Freshwater lineages converge on the ancestral condition, reflecting late arrival into systems occupied by older otophysans, whereas durophages show the greatest disparity and converge on derived forms. Cranial diversity was partitioned among subclades during the Cretaceous and later within them across the Cenozoic, showing that clade-level differences in evolutionary rates and ecological opportunity jointly shaped skull diversification.

evolutionary biology↗

bioRxiv2026

Quantitative Optimization of Sensitivity and Specificity in Targeted and Whole-Exome Sequencing Using Reference-Standard DNA Mixtures

BackgroundWe previously developed a benchmarking strategy using mixtures of homozygote and heterozygote DNAs as reference standards to simultaneously assess sensitivity and false positive (FP) error rates in targeted next-generation sequencing (T-NGS) and whole-exome sequencing (WES), revealing substantial variability across commercial platforms. However, optimal analytic conditions for clinical application remain undefined. MethodsWe systematically evaluated multiple sequencing kits and bioinformatics pipelines across various variant allele fraction (VAF) thresholds to identify conditions that maximize both sensitivity and specificity. Recurrent error-prone alleles were defined and filtered to enhance specificity. ResultsOptimal performance was achieved using the DRAGEN pipeline with recurrent FP allele filtering. For T-NGS, a 1% VAF cutoff yielded a 95% detection threshold of 2.99% and 1.21 FPs per megabase (FP/Mb); for WES, a 2% cutoff yielded a 95% threshold of 5.02% and 1.15 FP/Mb. These settings improved sensitivity >3-fold and reduced FP rates >96% versus suboptimal pipelines. Notably, VAF thresholds flattened sensitivity differences across platforms, obscuring key performance disparities--challenging assumptions that T-NGS is inherently more sensitive than WES. In-house and conventional pipelines undercalled up to 10% of true variants. Restricting reporting of 1-4% VAF variants to [~]1,000 predefined actionable sites enabled recovery of clinically relevant mutations while reducing FP risk >99%. ConclusionsThis study provides a quantitative framework for optimizing NGS performance. Our findings support actionable strategies to improve diagnostic accuracy in clinical genomics through tailored pipeline selection, VAF thresholding, and artifact filtering.

bioinformatics↗

bioRxiv2025

Natural language processing captures memory content associated with shared neural patterns at encoding

People can experience the same event yet form distinct memories shaped by individual interpretations. Prior research shows that multivariate activity patterns in the Default Mode Network (DMN) are correlated across individuals during shared experiences, suggesting a role in representing high-level event features. However, it remains unclear whether these shared neural patterns reflect similarity in subsequent memory content. Here, we examined whether memory similarity correlates with intersubject spatial patterns in the DMN. Using topic modeling, we transformed verbal recall into vectors of latent topics to quantify memory similarity across participants. Twenty-four individuals watched and recounted two cartoon movies during fMRI scanning. We found that greater similarity in recalled content was associated with stronger shared activation patterns at encoding, particularly in the posterior medial cortex. These findings highlight the utility of natural language processing tools in linking memory representations to brain activity and underscore the DMNs role in encoding and interpreting complex event features.

neuroscience↗

bioRxiv2025

A Sequence Motif Enables Widespread Use of Non-Canonical Redox Cofactors in Natural Enzymes

Non-canonical redox cofactors (NRCs) are promising alternatives to nicotinamide adenine dinucleotide (phosphate) (NAD(P)+) for biomanufacturing due to low cost and exquisite electron delivery control, yet their adoption is limited by the scarcity of compatible enzymes. Here, we screened the aldehyde dehydrogenase (ALDH) protein family and identified a conserved RH/QxxR sequence motif that enables widespread NRC activity among natural enzymes. Bos taurus ALDH3a1 and Pseudanabaena biceps ALDH exhibit unprecedented turnover with nicotinamide mononucleotide (NMN+), with kcat values matching or exceeding that of NAD+ and surpassing most engineered NRC-active enzymes by 10 to 105-fold, based on the relative NRC to native activity. Structural and dynamic analyses reveal this motif reinforces cofactor positioning and pre-organizes the active site without dependence on the adenosine monophosphate moiety of NAD+. When introduced into diverse ALDH scaffolds, the RH/QxxR motif enhances NMN+ activity up to 60-fold. In addition to NMN+, this motif also supports activity across multiple non-nucleotide, simple synthetic NRCs such as 1-(2-carbamoylmethyl)nicotinamide (AmNA+). These findings elucidate Natures solution to the engineering challenge of obtaining NRC-active enzymes and offers a blueprint to mine latent evolutionary plasticity in natural enzymes that serve as superior engineering starting points.

synthetic biology↗

bioRxiv2024

Teicoplanin attenuates RNA virus infection in vitro

Teicoplanin (TP) is a glycopeptide antibiotic used for Gram-positive bacterial infections, and it has been reported to inhibit SARS-CoV-2 and Ebola virus entry through cathepsin inhibition. Given that TP can inhibit viruses belonging to different virus families, we aimed to expand the potential targets of TP to determine whether TP can be developed as a broad-spectrum antiviral agent. Considering the original indication of TP, we first determined the effects of TP against viruses that cause respiratory tract infections and found that TP inhibits enveloped and non-enveloped RNA viruses, namely: human and avian influenza viruses; representative coronaviruses including porcine epidemic diarrhea virus (PEDV), human coronavirus OC43 (HCoV-OC43), and SARS-CoV-2; measles virus; human respiratory syncytial virus A2; and enterovirus 71 (EV-71). Representative flaviviruses, Zika virus (ZIKV) and dengue virus serotype 2 (DENV2), were also susceptible to inhibition by TP. In contrast, TP did not attenuate infection of human adenovirus 5, a non-enveloped DNA virus. Addition of TP at the endocytosis stage but not at the attachment/binding stage of PEDV infection reduced PEDV production in vitro, indicating cathepsin inhibition. Meanwhile, addition of TP during either the attachment/binding or the endocytosis stage of ZIKV infection reduced ZIKV particle production in host cells, and in silico modeling suggested that TP has potential binding pockets in the envelope proteins of ZIKV and DENV2. These results show that TP can be developed as a broad-spectrum antiviral especially against RNA viruses, with potentially different targets in the replication cycle of various viruses.

microbiology↗

bioRxiv2024

Evaluation of false positive and false negative errors in targeted next generation sequencing

BackgroundAlthough next generation sequencing (NGS) has been adopted as an essential diagnostic tool in various diseases, NGS errors have been the most serious problem in clinical implementation. Especially in cancers, low level mutations have not been easy to analyze, due to the contaminating normal cells and tumor heterozygosity. ResultsIn targeted NGS (T-NGS) analyses for reference-standard samples containing mixtures of homozygote H. mole DNA with blood genomic DNA at various ratios from four certified NGS service providers, large differences in the lower detection limit of variants (16.3 times, 1.51[~]24.66%) and the false positive (FP) error rate (4280 times, 5.814 x 10-4 [~]1.359 x 10-7) were found. Employment of the commercially available Dragen system for bioinformatic analyses reduced FP errors in the results from companies BB and CC, but the errors originating from the NGS raw data persisted. Bioinformatic conditional adjustment to increase sensitivity (less than 2 times) led to a much higher FP error rate (610[~]8200 times). In addition, problems such as biased preferential reference base calls during bioinformatic analysis and high-rate FN errors in HLA regions were found in the NGS analysis. ConclusionT-NGS results from certified NGS service providers can be quite various in their sensitivity and FP error rate, suggesting the necessity of further quality controls for clinical implementation of T-NGS. The present study also suggests that mixtures of homozygote and heterozygote DNAs can be easily employed as excellent reference-standard materials for quality control of T-NGS.

genomics↗

bioRxiv2022

Chelerythrine as an anti-Zika virus agent: therapeutic potential and mode of action

Zika virus (ZIKV) is a mosquito-borne virus that has been associated with adult and neonatal neurological conditions. So far, there is no approved drug or vaccine against ZIKV infection; thus, ZIKV remains a global health threat. Here, we explored the effects of chelerythrine (CTC), a known protein kinase C (PKC) inhibitor, against ZIKV infection in cell culture models to determine its potential as a therapeutic agent for ZIKV infection. We found that CTC protected Vero cells from ZIKV-induced cytopathic effects in a dose-dependent manner. It also reduced the production of ZIKV in Vero and A549 cells. In contrast, other PKC inhibitors failed to protect Vero cells from ZIKV-induced cytopathic effects, indicating PKC-independent mechanisms underlying the effects of CTC on ZIKV. Further investigation suggested that CTC inhibited ZIKV attachment/binding rather than internalization in the host cells. Pretreatment of cell-free ZIKV particles rather than pretreatment of cells with CTC resulted in reduced ZIKV infectivity in vitro, indicating that CTC blocked the attachment/binding of the ZIKV particles to host factors. In silico analyses suggested that these effects are potentially due to the binding of CTC to the ZIKV E protein, which may occlude the interaction of the E protein with attachment factors or receptors on the host cell surface. Overall, our findings suggest that CTC reduces the infectivity of ZIKV particles through PKC- and cell-independent mechanisms. Our findings also support further exploration of CTC as an anti-ZIKV agent.

microbiology↗

bioRxiv2021

Ketogenesis Impact on Liver Metabolism Revealed by Proteomics of Lysine β-hydroxybutyrylation

Ketone bodies are evolutionarily conserved metabolites that function as energy substrates, signaling molecules and epigenetic regulators. {beta}-hydroxybutyrate ({beta}-OHB) is utilized in lysine {beta}-hydroxybutyrylation (Kbhb) of histones, which associates with starvation-responsive genes, effectively coupling ketogenic metabolism with gene expression. The emerging diversity of the lysine acylation landscape prompted us to investigate the full proteomic impact of Kbhb. Global protein Kbhb is induced in a tissue-specific manner by a variety of interventions that evoke {beta}-OHB. Mass spectrometry analysis of the {beta}-hydroxybutyrylome in mouse liver revealed 891 sites of Kbhb within 267 proteins enriched for fatty acid, amino acid, detoxification and 1-carbon metabolic pathways. Kbhb of S-adenosyl-L-homocysteine hydrolase (AHCY), a rate-limiting enzyme of the methionine cycle, results in inhibition of enzymatic activity. Our results illuminate the role of Kbhb on hepatic metabolism under ketogenic conditions and demonstrate the functional consequence of this modification on a central metabolic enzyme.

molecular biology↗

bioRxiv2020

The cooperative assembly of shelterin bridge provides a kinetic gateway that controls telomere length homeostasis

Shelterin is a six-proteins complex that coats chromosome ends to ensure their proper protection and maintenance. Similar to the human shelterin, fission yeast shelterin is composed of telomeric double- and single-stranded DNA-binding proteins, Taz1 and Pot1, respectively, bridged by Rap1, Poz1, and Tpz1. The assembly of the proteinaceous Tpz1-Poz1-Rap1 complex occurs cooperatively and disruption of this shelterin bridge leads to unregulated telomere elongation. However, how this biophysical property of bridge assembly is integrated into shelterin function is not known. Here, utilizing synthetic bridges with a range of binding properties, we find that synthetic shelterin bridge lacking cooperativity requires a linker pair that matches the native bridge in complex lifespan but has dramatically higher affinity. We find that cooperative assembly confers kinetic properties on the shelterin bridge allowing disassembly to function as a molecular timer, regulating the duration of the telomere open state, and consequently telomere lengthening to achieve a defined species-specific length range.

molecular biology↗

bioRxiv2019

Neutrophil-derived extracellular vesicles: proinflammatory trails and anti-inflammatory microvesicles

Extracellular vesicles (EVs) are membrane-derived vesicles that mediate intercellular communications. Neutrophils produce different subtypes of EVs during inflammatory responses. Neutrophil-derived trails (NDTRs) are generated by neutrophils migrating toward inflammatory foci, whereas neutrophil-derived microvesicles (NDMVs) are thought to be generated by neutrophils that have arrived at the inflammatory foci. However, the physical and functional characteristics of neutrophil-derived EVs are incompletely understood. In this study, we investigated the similarities and differences between neutrophil-derived EV subtypes. Neutrophil-derived EVs shared similar characteristics regarding stimulators, generation mechanisms, and surface marker expression. Both neutrophil-derived EV subtypes exhibited similar functions, such as direct bactericidal activity and induction of monocyte chemotaxis via MCP-1. However, NDTR generation was dependent on the integrin signaling, while NDMV generation was dependent on the PI3K pathway. The CD16 expression level differentiated the neutrophil-derived EV subtypes. Interestingly, both subtypes showed different patterns of miRNA expression and were easily phagocytosed by monocytes. NDTRs induced M1 macrophage polarization, whereas NDMVs induced M2 macrophage polarization. Moreover, NDTRs but not NDMVs exerted protective effects against sepsis-induced lethality in a murine sepsis model and pathological changes in a murine chronic colitis model. These results suggest a new insight into neutrophil-derived EV subtypes: proinflammatory NDTRs and anti-inflammatory NDMVs.\n\nKey pointsO_LINeutrophil-derived trails are proinflammatory extracellular vesicles that induce M1 macrophage polarization and protect against inflammation\nC_LIO_LINeutrophil-derived microvesicles are anti-inflammatory extracellular vesicles that induce M2 macrophage polarization\nC_LI

immunology↗

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↗