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Biology subjects

Park, K.

Publications and source records attributed to Park, K..

At least 19 recordsLinked to original sources

Conserved Brain-Associated CD8+ T Cell Programs and Their Regulation by the Brain Microenvironment

CD8+ T cells are increasingly recognized as components of the healthy brain, yet whether their specialized functional characteristics are conserved across species and how the brain microenvironment regulates their effector programs remain poorly understood. Here, we characterized brain-associated CD8+ T cells in the common marmoset and investigated their regulation by brain-derived signals. Flow cytometric analysis revealed a substantial population of CD8+ T cells in the healthy marmoset brain parenchyma that exhibited high IFN-{gamma} competence but minimal granzyme B (GzmB) expression, resembling the functional phenotype previously identified in mice. Single-cell transcriptomic analyses of mouse and marmoset CD8+ T cells revealed tissue-associated transcriptional heterogeneity and distinct differentiation- and effector-associated programs. To investigate how the brain microenvironment shapes these characteristics, we exposed activated mouse CD8+ T cells to brain lysate and performed targeted CRISPR interference screening of 107 cell-surface receptor genes coupled with single-cell RNA sequencing. Brain lysate selectively reduced Gzmb and Ifng expression while increasing Tnf and Xcl1, indicating differential regulation of cytotoxic and inflammatory effector programs. Receptor perturbations revealed heterogeneous transcriptional responses and identified candidate pathways potentially involved in sensing brain-derived signals. Together, these findings identify shared functional characteristics of brain-associated CD8+ T cells across rodents and nonhuman primates and establish a framework for understanding how the neural microenvironment shapes adaptive immune function.

immunology↗

Bidirectional changes in seabird populations drive terrestrial ecosystem function and biodiversity

Seabird populations fluctuate dramatically in response to perturbations and human activity, such as the current highly pathogenic avian influenza (HPAI) panzootic and fishery practices. Seabirds vector marine nutrients into terrestrial and coastal environments causing cascading effects through ecosystems, but quantifying the inter-related mechanisms underpinning marine-terrestrial cascades in response to changes in seabird populations is challenging. Here we simulate decreases and increases in seabird density, as have occurred due to HPAI and fishing practices respectively, through turf transplant experiments and stratified surveys to quantify marine nutrient cascades and show how they regulate terrestrial ecosystem processes and biodiversity. We use structural equation modelling to quantify the relative strengths of each hypothesised mechanistic pathway in the ecological network. This analysis identified that seabirds shape terrestrial plant and invertebrate biodiversity primarily indirectly, through modifying soil nutrient availability. Our findings highlight the ecosystem changes that are likely occurring, and the pathways through which they operate, due to acute declines and chronic increases in seabirds caused by HPAI, fishing practices or other drivers.

ecology↗

Targeting DNMT1 augments anti-tumor CD8⁺ T cell function

Chronic stimulation of CD8 T cells within the tumor microenvironment (TME) induces a hypofunctional state characterized by diminished cytotoxicity and functionally impaired anti-tumor function, known as exhaustion. Exhaustion is associated with epigenetic changes that remain relatively stable despite interventions like immune checkpoint inhibition (ICI). Although epigenetic changes are potentially reversible, reports of therapeutic strategies to effectively restore function in exhausted CD8 T cells remain limited. Here, we report DNA methyltransferase 1 (DNMT1) inhibition (DNMT1i) in counteracting CD8+ T cell dysfunction during the anti-tumor response. We show that DNMT1i synergizes with ICI to rescue the tumor cell killing activity of chronically stimulated CD8 T cells in a melanoma model. DNMT1i mitigates transcriptional features of exhaustion while inducing a divergent effector program. DNMT1i attenuates the global increase in chromatin accessibility associated with exhaustion and enables epigenetic remodeling of the exhausted chromatin landscape upon restimulation. Finally, DNMT1i enhances the effector function of melanoma patient-derived tumor infiltrating lymphocytes after prolonged ex vivo expansion. These studies establish DNMT1 targeting as a promising strategy to counteract CD8 T cell exhaustion and potentiate ICI efficacy.

immunology↗

Long-Lasting Electrohydrodynamically Printed Transparent Soft Microelectrode for Implantable Biointerfaces

Reliable and scalable soft implantable neural interface fabrication remains a key challenge for chronic bioelectronic applications. Here, we present a transparent soft microelectrode fabricated with electrohydrodynamic (EHD) printing, utilizing the fluorinated polymer poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) and poly (3, 4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) to form seamless, selectively patterned multilayer structures with low impedance and long-term stability. Controlled in situ curing during printing yields dense, void-free substrate and encapsulation layers, suppressing interfacial defects and ionic pathways, while maintaining high optical transparency (>60%) with PEDOT:PSS. The printed microelectrodes exhibit low impedance, high charge storage and injection capacities, and stable electrochemical behavior under biomimetic conditions. In addition, the devices demonstrate robust mechanical and electromechanical stability under cyclic deformation in both dry and wet environments, as well as under prolonged electrical stimulation. Accelerated aging studies project multi-year operational lifetimes, and in vitro/in vivo biocompatibility assessments confirm excellent tissue integration. These results establish EHD-printed fluorinated polymer-based microelectrodes as a scalable and durable platform for chronic implantable biointerfaces. ToC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/726391v1_ufig1.gif" ALT="Figure 1"> View larger version (79K): org.highwire.dtl.DTLVardef@f4f717org.highwire.dtl.DTLVardef@8a34a1org.highwire.dtl.DTLVardef@185540dorg.highwire.dtl.DTLVardef@51462a_HPS_FORMAT_FIGEXP M_FIG C_FIG This report presents an electrohydrodynamically printed transparent soft microelectrode for chronic purposes. Electrohydrodynamic printing promotes seamless multilayer structures with selective deposition and long-term mechanical stability. The devices show low impedance, high charge capacity, and robust electrochemical/electromechanical properties. Accelerated aging projects [~]7.2 year lifetimes, and XPS/SEM-EDS confirm strong ion barrier properties and biocompatibility for chronic implantation.

bioengineering↗

ADAR-Sense: an open-access, species-agnostic web tool for automated, user-customisable ADAR-based RNA sensor design

BackgroundEngineered synthetic RNAs enable cellular control by sensing and responding to intracellular biomolecules. Recently developed sense-edit-switch RNAs (sesRNAs) based on Adenosine Deaminase Acting on RNA (ADAR)--which edits a stop codon to switch on custom payload translation in the presence of a target RNA--are consistently functional across different species. The ability of sesRNAs to couple bespoke payload translation to the presence of cell type-specific transcripts will usher in an era of precise cell-targeted biotechnological interventions. ResultsTo expedite the generation of sesRNAs, we develop ADAR-Sense--a universal web tool for automated sensor design based on user-defined sensor length, sensor-target RNA mismatch number, mismatch proximity to the ADAR-editable stop codon, and targeted custom element inclusion for improved ADAR recruitment and subsequent payload induction. ConclusionsCompared to current tools, the simplicity and flexibility of ADAR-Sense will streamline the design and screening of sesRNAs in new cell types and conditions, supporting the swift adoption of this sensing platform in both basic and translational research.

synthetic biology↗

Retrosplenial cortex vulnerability links severe hypoglycemia to cognitive impairment through neuron-microglia crosstalk

Severe hypoglycemia remains a serious adverse effect of insulin therapy in individuals with diabetes and is linked to cognitive decline, yet the mechanisms by which transient metabolic stress leads to persistent neuronal dysfunction remain poorly defined. Using mouse models of acute severe hypoglycemia and integrated screening, we identified the retrosplenial cortex as a previously unrecognized brain region that is particularly vulnerable to hypoglycemia-induced neuronal damage. This injury is driven by a feedforward interaction between neuron-specific Drp1-dependent mitochondrial fission and microglial IL-1 signaling, as pharmacological or genetic targeting of either pathway suppressed the other, rescued neuronal damage, and reversed cognitive impairment. These findings identify a region-specific neuron-microglia injury circuit that links severe hypoglycemia to cognitive dysfunction and suggest a therapeutic strategy to protect brain function without compromising diabetes management.

neuroscience↗

Potential of Korean Forest Tree Seed Extracts as Multifunctional Bioresources: Evaluation of Antioxidant, Anti-inflammatory, Whitening, and Anticancer Activities

Forest tree seeds are mass produced for afforestation and forest restoration programs, but are mostly underutilized beyond propagation. Here, we aimed to evaluate the antioxidant, anti-inflammatory, anticancer, and tyrosinase-inhibitory activities of seed extracts of seven economically important forest tree species in the Republic of Korea to explore their potential as multifunctional natural bioresources. The seed extracts of Alnus japonica, Chamaecyparis obtusa, Cornus kousa, Phellodendron amurense, Pinus densiflora, Prunus sargentii, and Quercus glauca were comparatively assessed using multiple in vitro assays. The results revealed clear species-dependent functional profiles rather than uniform bioactivities across species. Quercus glauca exhibited strong antioxidant activity and significant anti-inflammatory and tyrosinase-inhibitory activities, suggesting multifunctional potential, while C. obtuse presented considerable anticancer activity against several cancer cell lines. Alnus japonica exhibited the highest tyrosinase-inhibitory activity, followed by Q. glauca and C. obtuse; A. japonica extract also showed a strong antioxidant capacity. Overall, the results demonstrated that forest tree seed extracts possess diverse and complementary bioactivities, supporting their potential as underexplored multifunctional natural materials. By focusing on seed resources generated within existing afforestation systems, we highlight a sustainable approach to valorize forest-derived by-products without additional pressure on natural ecosystems. Nevertheless, as bioactivities were evaluated using crude extracts, further studies are required to identify and elucidate the active compounds and their mechanisms of action.

biochemistry↗

COBRA: Cell-type-specific Orthogonal Batch effect Removal Algorithm in single cell RNA-sequencing data

Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular heterogeneity, yet batch effects remain a critical challenge in data integration. Existing batch correction methods often assume homogeneous batch effect across cell types, operate in reduced-dimensional space leading to potential loss of biological information, and require extensive computational resources. Here, we introduce COBRA (https://github.com/wonlab-healthstat/COBRA), a linear model-based batch correction method that explicitly adjusts cell-type-specific batch effect. By orthogonalizing batch-associated parameters with respect to biological variables, COBRA removes technical artifacts while preserving biologically meaningful transcriptional differences. When cell type annotations are unavailable, COBRA implements an iterative clustering algorithm to estimate pseudo-cell types while accounting for batch effects. COBRA retains the full gene expression matrix, ensuring seamless integration for downstream analyses. We evaluated COBRA across simulated and real-world datasets, including type 2 diabetes, and COVID-19 datasets. COBRA outperformed in terms of batch mixing efficiency, preservation of biological group structure, and accuracy of differentially expressed gene detection.

bioinformatics↗

Systematic yeast two-hybrid screening identifies novel functions for SET1C/COMPASS

Set1 is the catalytic subunit of SET1C or COMPASS, which methylates histone H3K4 and serves as a scaffold for the association of seven tightly bound polypeptides. We have employed yeast two-hybrid screenings to determine the interactome of Set1 and each subunit, providing a unique resource for exploring known and novel roles of the complex. Our screenings identified a multitude of potential interactors involved in chromatin regulation, DNA replication, meiotic breaks, and Ty transposition, processes previously associated with SET1C. Consistent with Set1 being an RNA-binding protein, the screens link SET1C to multiple aspects of RNA biogenesis, including pre-mRNA splicing and polyadenylation. The results reveal that several importins are candidate interactors of Set1, along with RGG motif-containing proteins, providing insights into the mechanisms by which Set1 moves between cytoplasmic and nuclear compartments. We further reveal that reconstituted SET1C interacts with the AT hook domain of the chromatin remodeler Snf2 and methylates multiple arginines within this domain. In vivo, we report that the ARTSTRGR AT-hook motif is methylated in a Set1-dependent manner revealing new interplay between lysine and arginine methylation.

molecular biology↗

Quantitative Logics for Directed Evolution of an Asexual Population

1Directed evolution of asexual populations is expected to offer a wide range of benefits to humanity. Achieving efficient directed evolution (DE) requires a quantitative formulation of the experimental methodologies--or logics--that can address potential challenges throughout the evolutionary process. In this article, I introduce ten logics designed for specific purposes in DE, accompanied by their mathematical formulations. To illustrate their application, I consider a hypothetical scenario of evolving an imaginary asexual population limb into a wing, employing a matrix-based discretization method to represent the trait of interest. The results indicate that applying these logics can accelerate the evolutionary process by roughly tenfold, while achieving an average accuracy of approximately 85% in reaching the desired trait across ten simulation iterations. Based on these findings, I discuss key considerations for implementing quantitative logic-based DE, propose strategies to improve alignment between the final outcome and the target trait, and examine factors for making the discretization method practical. Finally, I explore potential connections between quantitatively guided DE processes and emerging technologies, such as artificial intelligence and quantum computation.

evolutionary biology↗

Structural insights into autophosphorylation-mediated heat shock response by the protein-arginine kinase McsAB

McsAB is a protein-arginine kinase that activates heat shock genes by inhibiting the transcriptional repressor CtsR. However, the mechanism by which McsAB suppresses CtsR during heat shock remains unclear. Here, we present cryo-electron microscopy structures of Bacillus subtilis McsAZ2-McsB and its complex with CtsR. Our structural analyses reveal that McsAZ2-McsB forms a rod-shaped heterotetramer, with two of these heterotetramers assembling into an asymmetrically crossing shape through phosphorylated arginine residues (pArg194 and pArg333) of McsB. The CtsR dimer binds to the groove of the McsAZ2-McsB oligomer via pArg115 of McsA and pArg194 of McsB. Anisotropy experiments indicate that CtsR dissociates slowly from its operator during heat shock, and McsAB facilitates this process in an ATP-dependent manner. Furthermore, mutations in the arginine residues of McsAB reduce its ability to hijack CtsR during heat shock. These results demonstrate that autophosphorylation of McsAB is essential for a rapid and effective heat shock response.

biochemistry↗

Using General Algebra to Model the Directed Evolution of an Asexual Population

1Humans have long employed directed evolution (DE) to engineer desired biological traits. In this paper, I introduce an algebraic framework that provides a quantitative representation of the general phenotypic traits of asexual populations, enabling the systematic modeling of DE processes. Within this framework, key evolutionary quantities such as the time required for a DE to reach a desired trait or the probability of arriving at a target algebra can be computed or qualitatively analyzed using principles from the evolutionary dynamics of an asexual population. As illustrative examples of trait-representing algebras, I evolve an integer, a two-dimensional vector, a four-dimensional vector with modulo-4 elements, a 2 by 2 matrix, and a cyclic algebra. The generations needed to reach the objective algebra in the DE simulations were consistent with those predicted by the theoretical analysis. Furthermore, I propose a method for mathematically designing evolutionary pathways that minimize the generations needed to reach the desired algebra, offering a key criterion for improving the efficiency of DE. Finally, I discuss how this algebraic approach can be applied in practical experimental setups and outline directions for future research in algebraic modeling of evolution.

evolutionary biology↗

β2 adrenergic receptors orchestrate neutrophil demargination and recruitment to the ischemic heart following myocardial infarction.

Neutrophils play a crucial role in instigating inflammation as well as its resolution post-myocardial infarction (MI). Although granulopoiesis in the bone marrow (BM) is the major source of cardiac neutrophils post-MI, infiltration of neutrophils to the heart occurs much quicker than peak granulopoiesis. These observations suggest that sources other than granulopoiesis may supply neutrophils to the heart during the early hours post-MI. Using a combination of flow cytometry, BM ablation of hematopoietic stem cells, confocal microscopy and multiple proteomics analysis, we found that the first wave of neutrophils recruited to the ischemic heart is exclusively sourced from vasculature and not from granulopoiesis in the BM/ spleen. The MI-evoked neutrophilia during the early hours bore all hallmarks of demargination induced by classical demarginating agents such as dexamethasone/ norepinephrine (NE). Various pharmacological and genetic strategies aimed at suppressing NE synthesis or disruption of {beta}-AR signaling reduced both neutrophil demargination as well as recruitment to the heart. Interestingly, however, despite a marked reduction in cardiac neutrophil burden only short-term inhibition of {beta}-ARs improved cardiac remodeling and function. Our findings support a pharmacological strategy to contain the initial onslaught of neutrophils on the ischemic heart using {beta}2-AR blockers to regulate the otherwise runaway inflammatory response.

immunology↗

Polyketide Synthase-Like Functionality Acquired by Plant Fatty Acid Elongase

Fatty acid elongation (FAE) typically proceeds through a four-step cycle of condensation, reduction, dehydration, and reduction to yield very long-chain fatty acids. Here, we describe a variation of this pathway in Orychophragmus limprichtianus, whose seed oil was found to contains previously unknown C24-C28 keto-hydroxy fatty acids that account for [~]25% of total fatty acids. Our studies revealed that these compounds are produced through an endoplasmic reticulum-localized discontinuous elongation process in which a 3-keto hydroxy intermediate bypasses full reduction and is extended through a polyketide synthase-like mechanism. Transcriptomic and functional assays identified two divergent enzymes, OlFAE1-2 and the low-activity ketoreductase OlKCR1-1, as central to this process. Protein modeling and mutant analysis suggest that specific amino acid substitutions underlie the altered activity of OlKCR1-1, enabling accumulation of keto intermediates. A portion of these unusual fatty acids accumulated in estolides, complex triacylglycerols that expand the chemical repertoire of seed oils. Together, our findings reveal unexpected flexibility in plant fatty acid elongation and provide new tools for engineering plants and microbes to produce renewable oils with tailored industrial functions.

plant biology↗

Cryo-EM structures of an anti-MLC1 Fab in apo and peptide-bound states reveal the structural basis of antigen recognition

Monoclonal antibodies are indispensable tools in structural biology and biomedical research, but defining the molecular basis of their specificity remains challenging. Here, we developed a novel monoclonal antibody (37E5) against the astrocytic membrane protein MLC1, a component of gliovascular signaling implicated in megalencephalic leukoencephalopathy with subcortical cysts. 37E5 demonstrated high specificity and versatility across biochemical, cellular, and histological assays, enabling reliable detection of MLC1 in both human and mouse tissue. Using single-particle cryo-EM, we determined [~]3 [A] resolution structures of the 37E5 Fab in apo and antigen-bound states, despite the small molecular mass ([~]50 kDa), close to the lower size limit of cryo-EM. The antigen-bound structure revealed continuous density for an MLC1-derived peptide and enabled atomic mapping of polar and non-polar interaction networks. Conformational changes in CDR-L1 and CDR-L2 indicated an induced-fit mechanism of recognition. Comparison with AlphaFold-predicted models underscored the accuracy of Fab backbone prediction but revealed major limitations in modeling epitope-paratope geometry. These findings establish 37E5 as a versatile antibody for mechanistic studies of gliovascular biology and MLC disease, while demonstrating that cryo-EM can achieve atomic-level characterization of small Fab-antigen complexes, thereby expanding the methodological frontier of antibody-antigen structural biology. SignificanceThis study defines the molecular basis of MLC1 recognition by a novel monoclonal antibody, establishes 37E5 as a versatile reagent for mechanistic and translational research, and demonstrates the feasibility of cryo-EM to resolve dynamic features of small Fab-antigen complexes.

biochemistry↗

Isolation of Pure Disease Specific Aging Trajectories in Spatial Transcriptomics via the Delta Delta Method

Disentangling normal aging from disease driven transcriptional change remains a major obstacle for spatial genomics. We introduce the Delta-Delta ({Delta}{Delta}) Method, a contrastive trajectory framework that resolves a four-dimensional progression (genes x cell types x brain regions x time) by subtracting the wild type (WT) aging trajectory from the transgenic (TG) trajectory to yield a pure disease trajectory ({Delta}{Delta}log2FC). The method is platform agnostic, integrates with common spatial transcriptomics workflows, and outputs direction and speed of change summaries, enriched pathways, and region and cell type specific maps. In a demonstration using G2-3 -synuclein TG mice and age matched WT controls at 6 and 10 months across hippocampus and midbrain, {Delta}{Delta} uncovered opposite regional dynamics in glutamatergic neurons and a convergent enrichment of RNA splicing pathways, corroborated by alternative splicing analyses. By explicitly modeling time while controlling for aging within each region and cell type, the {Delta}{Delta} Method isolates disease specific molecular programs that are obscured in conventional bulk or single cell analyses, and provides a generalizable framework for trajectory aware mechanistic target prioritization in neurodegeneration and other progressive conditions.

bioinformatics↗

High-resolution cryo-EM structures of small protein-ligand complexes near the theoretical size limit

Cryo-electron microscopy (cryo-EM) is widely used to determine macromolecular structures at atomic resolution. The theoretical size lower limit of particles for cryo-EM analysis is 38 kDa, limited by factors such as contrast and particle alignment accuracy. To date, no cryo-EM structures have been reported for proteins near this size limit. This study presents cryo-EM structures of two protein-ligand complexes around 40 kDa. The structure of maltose-binding protein (43 kDa) was determined at 2.32 [A] resolution, clearly revealing the bound maltose and water molecules. Additionally, the kinase domain of human PLK1 (37 kDa), slightly below the theoretical limit, was determined at 3.04 [A] resolution, allowing the identification of the bound ligand, onvansertib. These findings demonstrate that cryo-EM can be effectively employed for structure determination and structure-based drug screening of small proteins or domains.

biophysics↗

Red-wine gene networks associated with exceptional longevity in humans

Moderate consumption of red wine has been associated with healthy aging and longevity, defined as one drink per day for women and two drinks per day for men (approximately 142 ml or 5 oz per drink). Previous research has revealed the health benefits of red wine, particularly in relation to cardiovascular disease. However, the influence of genetic factors on these benefits remains to be elucidated. In this study, we explored genes linked to red wine and created a curated gene set that intersects with those related to centenarians, who are markers of exceptional longevity. Utilizing over 190 databases, we identified and validated a curated list of genes, and conducted gene set enrichment analysis as well as enrichment analysis of annotations and diseases. Our findings highlighted 43 genes connected to centenarians, suggesting that these genes play a crucial role in stress response and apoptosis, which are essential for cell survival and renewal. Additionally, we noted that these genes were enriched in pathways associated with smooth muscle cell proliferation, neuroinflammation, nucleotide excision repair, and lipoprotein metabolism (false discovery rate, FDR < 3 x 10-07). Gene set enrichment analysis indicated significant tissue expression in the gastrointestinal, cardiovascular, and respiratory systems. Furthermore, the disease-gene enrichment analysis pointed to associations with the diseases related to the tissues, including cardiovascular disease (heart disease and stroke), type 2 diabetes, gastrointestinal diseases and metabolic diseases, immune diseases, and cancer (FDR < 9.37 x 10-6); notably, cardiovascular diseases, diabetes, and cancer are leading causes of death, suggesting that the genes may be protective against those diseases. Although further research is necessary to uncover additional genes, this study provides the first genetic overview of the health benefits of red wine, emphasizing its potential in supporting healthy aging and longevity.

genomics↗