Biology subjects

Kim, J.-Y.

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

At least 19 recordsLinked to original sources

bioRxiv2026

The CHIP-LMO7-BAG5 complex controls tau clearance and yields repurposed and newly designed therapeutic candidates for Alzheimer's disease

Through cross-species genetic screens, we identified LMO7 as a regulator of tau levels in vivo. LMO7 bridges the E3 ligase CHIP and its inhibitory cochaperone BAG5, suppressing CHIPs ligase activity and limiting tau ubiquitination and degradation. Adult LMO7 knockdown enhances CHIP activity, reduces total and phosphorylated tau, attenuates gliosis, and rescues memory deficits in tauopathy mice. Guided by AlphaFold-derived structural models and AI-based virtual screening, we developed a CHIP-derived competing peptide and identified FDA-approved drugs that disrupt the complex. Viral delivery of the peptide or oral administration of Telmisartan or MPA-2, an optimized Mycophenolic acid derivative, reduced pathogenic tau without toxicity. These findings establish CHIP-LMO7-BAG5 complex as a druggable node in tau homeostasis, with implications for tauopathies including Alzheimers disease, and STUB1-associated ataxias.

neuroscience↗

bioRxiv2026

Cost-Effective Purification of Endotoxin-Free LIF, IL-2, and IL-33

We describe a cost-effective Escherichia coli (E. coli)-based platform for producing endotoxin-free cytokines. As a proof of concept, we applied this protocol to purify four representative human and mouse cytokines - mouse leukemia inhibitory factor (mLIF), human interleukin-2 (hIL-2), and human and mouse interleukin-33 (hIL-33 and mIL-33) - and demonstrated their bioactivity to be equivalent to commercial counterparts for direct use in stem cell culture and immune cell activation, both in vitro and in vivo. Reagent costs for producing these proteins are approximately 5%-10% of commercial list prices. This platform is readily adaptable to other costly cytokines and growth factors, providing a scalable and affordable approach to accelerate research in cell biology, tissue engineering, and biomanufacturing.

bioengineering↗

bioRxiv2026

Mitochondrial ATP production promotes T cell differentiation and function by regulating chromatin accessibility

Immune elimination of chronic infection or cancer requires cytotoxic CD8+ T cells that adopt and maintain an effector phenotype. Cytotoxic T cell function is a bioenergetically demanding process and T cells subjected to chronic antigen exposure have compromised effector function despite high rates of glycolysis. Here we report the ability of the short-chain -hydroxy acid, D--hydroxybutyrate, to act as a signaling molecule that increases mitochondrial ATP production and drives the conversion of proliferating T cells into cytotoxic effector cells. DAHB signaling switches ATP production from glycolysis to oxidative phosphorylation supported by fatty acid oxidation, even in glucose-replete media. This conversion suppresses both AMPK phosphorylation and the integrated stress response (ISR) in activated T cells while significantly elevating the level of the phosphagen, phosphocreatine (PCr). Both the PCr bioenergetic reserve and oxidative phosphorylation were required for T cell effector differentiation. DAHB-induction of CD8-effector gene transcription was coupled to bioenergetics by enhanced ATP-dependent remodeling of chromatin accessibility at effector gene loci. DAHB enhanced CD8+ T cell antitumor activity both in vitro and in vivo, and DAHB treatment of transferred T cells led to persistent in vivo antitumor effects. Together, these findings link cellular bioenergetics to the regulation of chromatin accessibility and gene expression required to support effector function.

immunology↗

bioRxiv2026

HAETAE: A highly accurate and efficient epigenome transformer for tissue-specific histone modification prediction

While genomic models trained on four bases often fail to capture cell-type specificity, we introduce HAETAE, which integrates 5-methylcytosine from long-read sequencing into a 5-base framework. By explicitly modeling epigenetic context, HAETAE achieves state-of-the-art accuracy (>0.95) with orders of magnitude fewer parameters, challenging the prevailing scaling-law paradigm. Furthermore, HAETAE deciphers tissue-specific regulatory logic, as demonstrated by revealing the distinct, context-dependent functional impact of the TERT promoter mutation across diverse tissues.

bioinformatics↗

bioRxiv2026

Loss of Mitochondrial FMT Restores Chloroplast Proteostasis via Inter-organelle Compensation

Chloroplast proteostasis is vital for plant development, yet whether cells can actively reprogram organelle communication to restore plastid function when essential protease components fail remains unclear. Using a forward genetic suppressor screen in Arabidopsis, we identify loss of the mitochondria-associated protein FRIENDLY MITOCHONDRIA (FMT) as a strong suppressor of the virescent and growth-retarded clpc1 mutant, which lacks the major chloroplast Clp chaperone ClpC1. Suppression is highly specific and occurs independently of GUN1-mediated retrograde signaling. Integrated multi-omics analyses reveal that clpc1 and fmtclpc1 represent two distinct organelle signaling states. In clpc1, loss of ClpC1 triggers a plastid stress state characterized by repression of photosynthesis-associated transcription factors, induction of plastid metabolic stress markers, and impaired proteolytic activity. By contrast, loss of FMT shifts the system into a recovery state despite persistent mitochondrial clustering. Mechanistically, FMT negatively regulates CLPC2, a ClpC1 paralog, and fmt-mediated rescue results from CLPC2 derepression. Moderately elevated ClpC2 restores in vivo proteolysis, as evidenced by recovery of PAA2 substrate turnover, normalization of chloroplast ultrastructure, and reactivation of photosynthesis-related gene expression. Transcriptomic and proteomic profiling further reveal coordinated remodeling of nuclear gene expression and chloroplast protein investment in the recovery state, including reduced cytosolic folding stress and selective induction of jasmonic acid- and salicylic acid-associated signaling networks. Genetic analyses establish that REC1 and REC2 are required for full CLPC2 induction and phenotypic recovery. Together, our findings uncover a latent inter-organelle compensatory mechanism in which mitochondrial perturbation reprograms nuclear gene expression to restore chloroplast proteostasis when ClpC1 function is compromised.

plant biology↗

bioRxiv2025

Keratin degradation reflects a starvation survival strategy in Fervidobacterium islandicum AW-1

Keratin is a highly cross-linked, disulfide-rich protein that resists proteolysis, which poses a major challenge for microbial degradation. Here, we show that Fervidobacterium islandicum AW-1 initiates a starvation-induced keratinolytic program involving membrane-associated proteases and redox-mediated sulfitolysis. Multi-omics integration reveals that nutrient limitation triggers global metabolic reprogramming, promoting sulfur assimilation, biofilm formation, and chemotaxis-linked persister-like adaptation. Substrate-specific transcriptomics identified a temporally regulated protease repertoire tightly coordinated with sulfitolytic activity, facilitating efficient feather decomposition under starvation. Protein-protein interaction networks uncovered stress-responsive transcriptional regulators that govern this process. Time-resolved gene expression analysis and metabolomic profiling further revealed that cyclic-di-GMP signaling, stringent response, and flagella assembly mediate transitions between motility and sessile growth, contributing to surface colonization and persistence. Together, our findings establish a starvation-responsive survival mechanism that couples keratin degradation to stress adaptation in extreme environments, offering insights into microbial persistence and potential strategies for keratin valorization.

microbiology↗

bioRxiv2024

The Arabidopsis amino acid transporter UmamiT20 confers susceptibility to B. cinerea

O_LIInduction of SWEET sugar transporters by bacterial pathogens via transcription activator-like (TAL) effectors is necessary for successful blight infection of rice, cassava and cotton, - likely providing sugars for bacterial propagation. C_LIO_LIHere, we show that infection of Arabidopsis by the necrotrophic fungus Botrytis cinerea causes increased accumulation of amino acid transporter UmamiT20 mRNA in leaves. UmamiT20 protein accumulates in leaf veins surrounding the lesions after infection. Consistent with a role during infection, umamiT20 knock-out mutants were less susceptible to B. cinerea. C_LIO_LIFunctional assays demonstrate that UmamiT20 mediates amino acid transport of a wide range of amino acid substrates. C_LIO_LIPathogen-induced UmamiT20 mRNA and protein accumulation support the hypothesis that transporter-mediated pathogen susceptibility is not unique to SWEETs in bacterial blight of rice but also for a necrotrophic fungus and implicate nutrients other than sucrose, i.e., amino acids, in nutrition or nutrient signaling related to immunity. We hypothesize that stacking of mutations in different types of susceptibility-related nutrient carriers to interfere with access to several nutrients may enable engineering robust pathogen resistance in a wide range of plant-pathogen systems. C_LI Lay AbstractPathogens infect plants to gain access to their nutrient resources, enabling the pathogens to cause disease and reproduce efficiently. Here we find that an amino acid transporter constitutes a susceptibility factor for the fungal pathogen B. cinerea.

plant biology↗

bioRxiv2024

Predicting the physiological effects of multiple drugs using electronic health record

Various computational models have been developed to understand the physiological effects of drug-drug interactions, which can contribute to more effective drug treatments. However, they mostly focus on interactions of only two drugs, and do not consider the patient information. To address this challenge, we use publicly available electronic health record (EHR), MIMIC-IV, to develop machine learning models that predict the physiological effects of two or more drugs. This study involves extensive preprocessing of laboratory measurement data, prescription data and patient data. The resulting machine learning models predict potential abnormalities across 20 selected measurement items (e.g., concentrations of metabolites and blood cells) in the form of a sentence. The models showed an average AUROC of 0.75, and age, specific active pharmaceutical ingredients, and gender appeared to be the most influential features. The model development process showcased in this study can be extended to other measurement items for a target EHR.

systems biology↗

bioRxiv2024

Massively parallel screening of TIR-derived peptides reveals vast TLR-targeting immunomodulatory peptides

Toll-like receptors (TLRs) are critical regulators of the immune system, and altered TLR responses lead to a variety of inflammatory diseases. Interference of intracellular TLR signaling, which is mediated by multiple Toll/interleukin-1 receptor (TIR) domains on all TLRs and TLR adapters, is an effective therapeutic strategy against immune dysregulation. Peptides that inhibit TIR-TIR interactions by fragmenting interface residues have potential as therapeutic decoys. However, a systematic method for discovering TIR-targeting moieties has been elusive, limiting exploration of the vast unsequenced space of the TIR domain family. Here, we developed a comprehensive parallel screening method to uncover novel TIR-binding peptides derived from previously unexplored surfaces on a wide range of TIR domains. We constructed a large peptide library, named TIR surfacesome, by tiling surface sequences of the large TIR domain family and screening against MALTIR and MyD88TIR, TIRs of two major TLR adaptor proteins, resulting in the discovery of hundreds of TIR-binding peptides. The selected peptides inhibited TLR signaling, demonstrated anti-inflammatory effects in macrophages and therapeutic potential in mouse inflammatory models. This approach may facilitate the development of TLR-targeted therapeutics.

molecular biology↗

bioRxiv2024

A novel GLYCEROPHOSPHODIESTER PHOSPHODIESTERASE 13 is involved in the Phosphate starvation-induced lipid remodeling in rice

Phosphorus (P) is one of the most vital macronutrient determinants in plant development and productivity. However, the bioavailability of inorganic phosphate (Pi), the only form that plants can assimilate, is limited in the soil, thus significantly affecting plant development. Plants have adopted various specialized strategies to modify their morphological, physiological, and biochemical properties for better adaptation to Pi deficiency conditions. GLYCEROPHOSPHODIESTER PHOSPHODIESTERASES (GDPDs), generally known as phospholipid remodeling proteins, have been suggested to play essential roles in maintaining phosphate homeostasis. The previous genome-wide association studies (GWAS) in a Vietnamese rice collection led to the discovery of a robust QTL named qRST9.14 associating with the phosphate adaption in rice, in which OsGDPD13 is located within this locus. Interestingly, we discovered an absence of OsGDPD13 from the Indica reference genome. A subcellular localization study showed that the GDPD13 protein localizes to the plasma membrane, cytoplasmic speckles, and plasmodesmata. The osgdpd13 knockout mutant was generated in the Japonica cv Kitaake background to characterize its function. Phenotypic analysis indicated that mutation of OsGDPD13 significantly lowered crown root number and reduced the plant height under Pi deficient condition. Moreover, osgdpd13 lines reduce the capability to degrade total phospholipids compared to the wild type under Pi starvation conditions. This finding suggests the involvement of the OsGDPD13 gene in rice growth and the Phosphate starvation-induced lipid remodeling under P deficiency. This work will provide valuable information for developing crop plants with higher Phosphate use efficiency.

plant biology↗

bioRxiv2024

Redirecting DNA repair for efficient CRISPR-Cas-based gene targeting in tomato

The CRISPR-Cas-based gene targeting (GT) method has enabled precise modifications of genomic DNA ranging from single base to several kilobase scales through homologous recombination (HR). In plant somatic cells, canonical nonhomologous end-joining (cNHEJ) is the predominant mechanism for repairing double-stranded breaks (DSBs), thus limiting the HR-mediated GT. In this study, we implemented various approaches to shift the repair pathway preference toward HR by using a dominant-negative KU80 mutant protein (KUDN) to disrupt the initiation of cNHEJ and enhance DSB end resection through nucleases. Our results show from 1.71- to 3.55-fold improvement of the GT efficiency at the callus stage and a more remarkable, up to 9.84-fold, increase in GT efficiency at two specific tomato loci, SlHKT1;2 and SlEPSPS1, when we screened transformants obtained from the KUDN-mediated cNHEJ suppression approach. With practical levels of efficiency, this enhanced KUDN-based GT tool successfully facilitated GT at an additional locus, SlCAB13. These findings provide a promising method for more efficient and precise plant breeding in the future.

plant biology↗

bioRxiv2024

Glyoxalase 1: emerging biomarker and therapeutic target in cervical cancer progression

IntroductionCervical cancer presents a significant global health challenge, disproportionately impacting underserved populations with limited access to healthcare. Early detection and effective management are vital in addressing this public health concern. This study focuses on Glyoxalase-1 (GLO1), an enzyme crucial for methylglyoxal detoxification, in the context of cervical cancer. MethodsWe assessed GLO1 expression in cervical cancer patient samples using immunohistochemistry. In vitro experiments using HeLa cell lines were conducted to evaluate the impact of GLO1 inhibition on cell viability and migration. Single-cell RNA sequencing (scRNA-seq) and gene set variation analysis were utilized to investigate GLO1s role in the metabolism of cervical cancer. Additionally, public microarray data were analyzed to determine GLO1 expression across various stages of cervical cancer. ResultsOur analysis included 58 cervical cancer patients, and showed that GLO1 is significantly upregulated in cervical cancer tissues compared to normal cervical tissues, independent of pathological findings and disease stage. In vitro experiments indicated that GLO1 downregulation decreased cell viability and migration in cervical cancer cell lines. Analyses of scRNA-seq data and public gene expression datasets corroborated the overexpression of GLO1 and its involvement in cancer metabolism, particularly glycolysis. An examination of expression data from precancerous lesions revealed a progressive increase in GLO1 expression from normal tissue to invasive cervical cancer. ConclusionsThis study highlights the critical role of GLO1 in the progression of cervical cancer, presenting it as a potential biomarker and therapeutic target. These findings contribute valuable insights towards personalized treatment approaches and augment the ongoing efforts to combat cervical cancer. Further research is necessary to comprehensively explore GLO1s potential in clinical applications. SynopsisThis study examines Glyoxalase-1 (GLO1) in cervical cancer and reveals its significant upregulation in cancerous tissues compared to normal counterparts. In vitro experiments show that downregulating GLO1 decreases cell viability and migration. Single-cell RNA sequencing and gene expression analysis substantiate GLO1s involvement in cancer metabolism, notably in glycolysis. These findings identify GLO1 as a potential biomarker and therapeutic target, offering insights for personalized treatment approaches in cervical cancer management.

cancer biology↗

bioRxiv2024

Breakthrough in Dicot Prime Editing: Enabling Heritable Desired Edits in Tomato and Arabidopsis

Prime editing (PE) enables almost all types of precise genome editing in animals and plants. It has been successfully adapted to edit several plants at variable efficiency and versatility. However, this technique is inefficient for dicots for unknown reasons. Here, by employing novel combinations of PE components, including an RNA chaperone and modified epegRNAs driven by a PolII-PolIII composite promoter and a viral replicon system, we obtained up to 9.7% of the desired PE efficiency at the callus stage assessed by targeted deep sequencing. Subsequently, we identified that up to 38.2% of transformants contained desired PE alleles in tomatoes and Arabidopsis, marking the first successful heritable PE transmission in dicots. Our PE tools also showed high accuracy, specificity, and multiplexing capability, which unlocked the potential for practical PE applications in dicots, paving the way for transformative advancements in plant sciences.

synthetic biology↗

bioRxiv2023

Decoding spatial organization maps and context-specific landscapes of breast cancer and its microenvironment via high-resolution spatial transcriptomic analysis

Single-cell RNA transcriptomics has revealed the intricate heterogeneity of both tumors and their microenvironment. However, a notable limitation is its inability to retain spatial context, a crucial aspect of understanding cell identity and function. In this study, we employed imaging-based single-cell spatial transcriptomics to elucidate the tumor and immunological landscapes of two breast cancer samples. By resolving over 400 000 cells per slide, we demonstrated that transcriptional differences lead to structural disparities within and between tumors. Additionally, we observed that the composition of the tumor microenvironment varies depending on its spatial location. Notably, we detected immune cell gradients transitioning from the tumor periphery to its core regions and from tertiary lymphoid structure to immune inflamed regions, in alignment with the specific function of each cell type. This finding facilitated a more precise classification of the tumor immune microenvironment. This study provides a comprehensive dataset for breast cancer researchers and underscores the significance of spatial context in understanding the multifaceted heterogeneity of cancer and its environment.

cancer biology↗

bioRxiv2023

Generation of Parthenocarpy tomato on multiple commercial cultivars utilizing CRIPR/Cas9 system

Tomato (Solanum lycopersicum L.) is one of the most important crops in the world for its fruit production. Advances in cutting-edge techniques have enabled the development of numerous critical traits related to the quality and quantity of tomatoes. Genetic engineering techniques, such as gene transformation and gene editing, have emerged as powerful tools for generating new plant varieties with superior traits. In this study, we induced parthenocarpic traits in a population of elite tomato (ET) lines. At first, the adaptability of ET lines to genetic transformation was evaluated to identify the best-performing lines by transforming the SlANT1 gene overexpression cassette and then later used to produce the SlIAA9 knockout lines using the CRISPR/Cas9 system. ET5 and ET8 emerged as excellent materials for these techniques and showed higher efficiency. Typical phenotypes of knockout sliaa9 were clearly visible in G0 and G1 plants, in which simple leaves and parthenocarpic fruits were observed. The high efficiency of the CRISPR/Cas9 system in developing new tomato varieties with desired traits in a short period was demonstrated by generating T-DNA-free homozygous sliaa9 knockout plants in the G1 generation. Additionally, a simple artificial fertilization method was successfully applied to recover seed production from parthenocarpic plants, securing the use of these varieties as breeding materials.

plant biology↗

bioRxiv2022

Characterization of yield and fruit quality parameters of Vietnamese elite tomato lines generated through phenotypic selection and conventional breeding methods

Tomato (Solanum lycopersicum L.) is the second most important vegetable crop after potatoes, and global demands have been steadily increasing in recent years. Conventional breeding has been applied to breed and domesticate tomato varieties to meet the need for higher yield or superior agronomical traits that allow to sustain under different climatic conditions. In the current study, we applied bulk population breeding by crossing eight tomato accessions procured from the Asian Vegetable Research and Development Center (AVRDC) with three heat-resistant tomato inbred lines from Vietnam and generated ten elite tomato (ET) lines in the F8 generation. The individual F8 lines exhibited robust vigor and adaptability to Vietnamese climate conditions. Among the ten lines, ET1 and ET3 displayed indeterminate growth. ET2 showed semi-determinate, while all the other lines had determinate growth. The different ET lines showed distinctive superior agronomical traits, including early maturing (ET4, ET7, and ET10), highly efficient fruit set (ET1), higher yield (ET1, ET8, ET10), jointless pedicels (ET2), and partial parthenocarpy (ET9). Molecular analysis revealed that the ET3 line consisted of Ty-1 and Ty-3 loci that positively contribute to Tomato yellow leaf curl virus (TYCLV) resistance in tomato plants. The elite tomato lines developed in this study would contribute significantly to the Vietnamese and Asian gene pool for improved tomato production and may be a valuable resource for various breeding goals.

plant biology↗

bioRxiv2022

ASD gene Bcl11a regulates subcellular RNA localization, associative circuitry, and social behavior

Precise, area-specific connectivity of interhemispheric callosal projection neurons (CPN) in the cerebral cortex is critical for sensory, associative, and behavioral functions. CPN circuitry, which connects and integrates the cerebral hemispheres via the corpus callosum, is centrally implicated in autism spectrum disorder (ASD) and intellectual disability (ID). Though transcriptional controls regulating CPN subtype and areal development are partially understood, downstream subcellular molecular machinery that implements CPN circuitry is essentially unknown. Here, we identify that the highly penetrant ASD/ID risk gene Bcl11a/Ctip1 is critical developmentally for appropriate and precise areal targeting of superficial layer CPN (CPNSL) projections, and that its deletion strikingly re-routes some CPNSL projections subcortically, causes dramatic disruption to subcellular CPNSL growth cone (GC) molecular machinery, and disrupts social behavior and cognition in mice. CPNSL-specific embryonic deletion of Bcl11a causes loss of correct homotopic targeting in the contralateral cortex, re-routes a substantial proportion of axonal projections through the anterior commissure, and induces strikingly aberrant, but specific and precise, projections to the basolateral amygdala. Importantly, bilateral deletion of Bcl11a from CPNSL results in abnormal social behavior and working memory. Mechanistically, we identify dysregulation of the CPNSL axonal GC-localized transcriptome in Bcl11a nulls, due to either aberrant transcription or trafficking of individual transcripts. These molecular mis-localizations disrupt axon guidance and CPNSL circuitry formation. Together, this work identifies critical functions for Bcl11a in CPNSL axonal connectivity, development of functional associative-social circuitry, and regulation of subtype-specific subcellular molecular machinery in vivo, revealing novel GC-localized transcripts that regulate precise axonal targeting and circuit formation. These results elucidate development and ASD/ID disease-related circuit disruption of CPNSL, and the importance of understanding circuit-specific subcellular molecular machinery by neurons.

neuroscience↗

bioRxiv2022

Literature-based predictions of treatments for genetic disease pathology

Identifying genetic modifiers of disease-causing genes can guide drug discovery for treatment of genetic disorders, but selecting promising drugs to test requires extensive and up-to-date knowledge of drug-gene and gene-gene relationships. To address this challenge, we present PARsing ModifiErS via Abstract aNnotations (PARMESAN), a computational tool that searches PubMed for information on these relationships, and assembles them into one knowledgebase. PARMESAN then hypothesizes on undiscovered drug-gene relationships, assigning an evidence-based score to each hypothesis. We compare PARMESANs drug-gene hypotheses to all of the drug-gene relationships displayed by DrugBank, and see a strong correlation between the prediction score and the predictive accuracy--such that predictions scoring above 10 are 11 times more likely to be correct than incorrect. This publicly available tool provides an automated way to prioritize drug screens to target the most-promising drugs to test, thereby saving time and resources in the development of therapeutics for genetic disorders.

bioinformatics↗