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Kim, J.

Publications and source records attributed to Kim, J..

At least 163 records · Page 9Linked to original sources

AlphaFast: High-throughput AlphaFold 3 via GPU-accelerated MSA construction

AlphaFold 3 (AF3) enables accurate biomolecular modeling but is limited by slow, CPU-bound multiple sequence alignment (MSA) generation. We introduce AlphaFast, a drop-in framework that integrates GPU-accelerated MMseqs2 sequence search to remove this bottleneck. AlphaFast achieves a 68.5x speedup in MSA construction and a 22.8x reduction in end-to-end runtime on a single GPU, and delivers predictions in 8 seconds per input on four GPUs while maintaining indistinguishable structural accuracy. A serverless deployment enables structure prediction for as little as $0.035 per input. Code is available at https://github.com/RomeroLab/alphafast

biochemistry↗

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↗

Cell enlargement drives aging-associated proteome remodeling and shortens replicative lifespan

The molecular and cellular basis of aging and its associated functional decline remains poorly understood. Even free-living microorganisms age and, in yeast, replicative aging shares key hallmarks with human cellular senescence, including progressive cell enlargement. Recent work has shown that chemical and genetic manipulations that increase cell size promote the onset of senescence in both yeast and human cells, suggesting that cell enlargement can drive some of the physiological changes associated with aging. Here, we quantitatively determined how cell enlargement contributes to age-associated physiology in yeast by combining automated aging technologies with quantitative proteomics. We find that the majority of aging-associated proteome remodeling can be recapitulated by genetically enlarging young proliferating cells. These enlarged cells exhibit accelerated proteome aging and shortened replicative lifespans, while smaller cells are longer-lived. While cell enlargement is the predominant factor driving proteome remodeling during aging, we also identified a minority of aging-specific molecular markers whose expression influences lifespan. Together, our results demonstrate that cell enlargement is a major driver of aging-associated proteome remodeling and influences lifespan independently of established aging factors such as extrachromosomal rDNA circles.

cell biology↗

IFN-driven lipid synthesis shutdown in CD4⁺ T cells during acute SIV infection and persistent OXPHOS with ART initiation

Cellular metabolism regulates HIV/SIV replication and reservoir establishment, yet how infection and antiretroviral therapy initiation (ARTi) shape CD4 T cell metabolism in vivo remains poorly defined. Using the SIVmac239 macaque model, we integrated single-cell metabolic profiling (MIST), transcriptomics, lipidomics and genome-scale metabolic modeling to characterize their metabolic remodeling. At peak viremia, CD4 T cells exhibited shutdown of de novo fatty-acid (FA) synthesis, reflected by acetyl-CoA carboxylase-1 (ACC1) downregulation, inhibition of lipid-anabolic reactions, and depletion of membrane phospholipids. This state was driven by type I interferon (IFN-I) responses, and IFN-I suppressed ACC1 in vitro. Pharmacologic inhibition of FA synthesis enhanced T cell activation and exerted direct antiviral effects. Following ARTi, most metabolic pathways in CD4+ T cells were suppressed, whereas oxidative phosphorylation (OXPHOS) remained elevated and its levels in effector memory cells correlated with cell-associated-vDNA These findings identify IFN-driven FA synthesis suppression as a novel effector mechanism during acute viral infection, and persistent OXPHOS in effector CD4 T cells as a metabolic correlate of early reservoir establishment.

immunology↗

Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures

Multiplexed protein imaging enables spatially resolved analysis of molecular organization in tissues, but existing spatial proteomics platforms remain constrained in scalability, throughput, and integration with RNA measurements and interpretable computational analysis. Here, we present an integrated spatial omics framework that combines highly multiplexed protein and RNA imaging with explainable machine learning to map cell-type-specific molecular and structural architectures at tissue scale. Using this platform, we simultaneously profiled up to 46 proteins and 79 RNA species across [~]370,000 cells in intact mouse brain tissue at diffraction-limited subcellular resolution ([~]260 nm). We developed a scalable, open-source computational pipeline for large-scale image processing and analysis, and show that nuclear protein and chromatin features alone are sufficient to accurately classify brain cell types and their spatial organization. Incorporation of explainable deep learning further enabled identification of human-interpretable, cell-type-specific subnuclear structural features directly from imaging data, with independent quantitative validation. Together, this integrated experimental and computational framework enables tissue-scale spatial proteomics-based cell-type classification and structural feature discovery, providing a broadly applicable platform for mechanistic studies, high-content screening, and translational applications.

systems biology↗

A genome-wide CRISPR screen reveals cancer-specific regulators of hyaluronan binding and cellular invasion

Metastatic spread of cancer cells is driven by binding between the cell-surface receptor CD44 and hyaluronan (HA) in the extracellular matrix. The specific oncogenes that drive increased CD44-HA binding in cancer remain poorly defined. Using a fluorescently labeled hyaluronan probe, we performed a genome-wide CRISPR screen to identify genes whose knockdown disrupts HA binding in breast cancer cells. We subsequently developed a bioinformatic analysis pipeline that enabled stratification and prioritization of cancer-specific regulators. This work provides a first-in-class resource for the identification of druggable targets to inhibit HA binding. We further validate RAB4A, a top hit from our screen, as a novel regulator of this process. Mechanistically, RAB4A KO dramatically reduces CD44 expression and inhibits the invasion of breast cancer cells through HA-rich matrices. This study validates a novel strategy for identifying regulators of cancer cell invasion and identifies immediate actionable targets for anti-metastatic therapy.

cancer biology↗

Structural basis for curvature generation and functional specialization in spirochete flagella

Spirochetes are a distinctive phylum of spiral-shaped bacteria, defined by their curved periplasmic flagella, which drive motility by deforming the cell body and enabling efficient corkscrew-like propulsion through viscous environments. Despite their clinical importance, the molecular mechanisms underlying flagellar assembly, curvature and thus motility, remain poorly understood. Here we used cryo-electron microscopy combined with visual proteomic analysis to determine near-atomic resolution structures of two distinct flagellar filaments natively isolated from T. denticola, a major oral pathogen. Our structures reveal that filament curvature is generated by the asymmetric decoration of a conserved FlaB core by multiple sheath proteins, including FlaA1/2/3 and two previously uncharacterized proteins, termed FlaL1 and FlaL2. We show that the sheath imposes differential axial compaction on the FlaB core: FlaA1 expands the lattice at the outer curvature, FlaA2/3 compress the lattice at the inner curvature, and FlaL proteins stabilize these asymmetric interactions. Incorporation of distinct FlaB homologs contributes to assembled filament identity, with FlaB3 forming thin filaments and FlaB1/2 interacting with the sheath to form thick filaments. Comparative analysis reveals that FlaL proteins are conserved amongst some Treponema species and several other spirochetes, indicating that asymmetric assembly represents a modular solution to the mechanical demands of periplasmic flagella. These findings provide a structural framework for understanding functional specialization in bacterial filaments.

microbiology↗

Build it, But Did They Come? Monitoring Winter Feeding Stations Use by Endangered Long-tailed Gorals

Winter supplementary feeding is widely adopted to support wild ungulates during forage scarcity, yet its ecological effectiveness for endangered mountain ungulates experiencing extreme weather-related mortality remains poorly understood. In the winter of 2023-2024, a mass mortality event of long-tailed gorals (Naemorhedus caudatus) in South Korea prompted the installation of emergency feeding stations in core habitats. We used camera traps to quantify feeding activity and assess how environmental and demographic factors shaped visitation. Long-tailed gorals fed primarily around midnight, deviating from their typical diurnal and crepuscular patterns. Feeding frequency increased when dried mulberry (Morus alba) leaves was available, snow covered the ground, and fawns were present. Conversely, visitation declined with warmer temperatures and rainfall. Agonistic interactions peaked during periods of feed depletion, indicating heightened competition over limited resources. Although several individuals occasionally gathered, most stations consistently supported only one or two individuals, reflecting limited reach at the population level. This study provides the first systematic assessment of endangered Long-tailed gorals behavioral and temporal responses to winter supplementary feeding, offering critical baseline data to evaluate and optimize conservation interventions for mountain ungulates.

ecology↗

A Single-Cell and Spatial 3D Multi-omic Atlas of Developing Human Basal Ganglia and Inhibitory Neurons

The human basal ganglia (BG), subcortical nuclei fundamental to motor regulation and cognitive modulation, is constructed from neurons produced during gestation in the adjacent ganglionic eminences (GEs). GEs are transient structures in the ventral prenatal brain that also generate GABAergic inhibitory neurons which migrate to destinations in the BG, cortex and other destinations. This study aims to elucidate the epigenomic and 3D-genomic dynamics involved in the specification and maturation of GEs and GE-derived neurons, using single-nucleus methyl-3C sequencing (snm3C-seq), highly-multiplexed spatial transcriptomics, and chromatin+RNA single-molecule imaging. Our multi-modal data support a heterogeneous temporal progression across GE subregions, with the lateral GE (LGE) showing declining neurogenic activity in mid-gestation and caudal GE (CGE) exhibiting ongoing developmental progression through infancy. We identified regulatory programs that specify subtypes of BG principal cells, medium spiny neurons (MSN), via synchronized maturation of the 3D-epigenome. In infant brains, we found a transient short-range enriched (SE) chromatin conformation during the transition between oligodendrocyte progenitors (OPCs) and oligodendrocytes (ODCs), and a temporary shift toward Long-range Enriched (LE) chromatin conformation in projection neurons, extending previous works showing the differentiation of neurons and glial cells is associated with permanent SE and LE conformation, respectively. Lastly, we found that gene regulatory regions active in MSNs were enriched in loci associated with genetic risk for neuropsychiatric disease. Our study delineates the highly complex, lineage-specific 3D genomic dynamics in ventral progenitors and basal ganglia populations of the perinatal human brain. HighlightsO_LIJoint 3D genome and DNA methylome analysis of ventral brain progenitor zones C_LIO_LIHeterogeneous developmental progressions of the ganglionic eminences C_LIO_LIDistinct development dynamics and regulatory landscape of MSNs and interneurons C_LIO_LITransient remodeling of the 3D-genome in neurons and oligodendrocyte progenitors C_LI

genomics↗

Tumour suppressors LKB1 and SMARCA4 functionally interact to regulate gene expression of diverse biological processes in lung cancer

The tumour suppressor kinase LKB1 is known to regulate the activity of the metabolic sensor AMPK, that when under energy stress shifts metabolism from anabolism to catabolism, thus linking LKB1 to AMPK-mediated gene expression. Coupled with its role as a tumour suppressor kinase, LKB1 is an important metabolic regulator implicated in multiple malignancies and is frequently mutated in lung cancer. Previously, we discovered that LKB1 binds to the SWI/SNF chromatin remodelling ATP-dependent helicase subunit SMARCA4, directly linking LKB1 to gene expression. How LKB1 and SMARCA4 collaborate to regulate gene expression in lung cancer has not been well characterized. We used an in-silico approach to explore how LKB1 and SMARCA4 may cooperate to regulate gene expression. We mined our previous scRNA-seq dataset from 4 lung cancer cell lines with differential LKB1 and SMARCA4 expression status to identify genes regulated by both LKB1 and SMARCA4. We correlated our results using bulk RNA-seq results from human lung tumours. We show that LKB1 and SMARCA4 likely function together to regulate gene expression in multiple biological processes in lung cancer cell lines. Gene expression profiles from LKB1 and SMARCA4 mutant cells are similar, suggesting LKB1 and SMARCA4 function in a linear pathway to regulate gene expression. Furthermore, we observed similar results in human lung tumours, particularly in late-stage disease. We propose a model where LKB1 acts as a nexus between metabolism and gene expression, acting via the SMARCA4-SWI/SNF complex to regulate gene expression in lung cancer.

cancer biology↗

EXOSC3 G191 Variants Trigger System-Wide Recalibration of RNA Processing Machinery

Pathogenic variants in EXOSC3, a noncatalytic subunit of the RNA exosome, cause pontocerebellar hypoplasia type 1B (PCH1B), yet substantial variability in disease severity is observed among individuals carrying different EXOSC3 alleles. The molecular mechanisms of RNA exosome dysfunction in individuals carrying EXOSC3 p.G191 variants remains unresolved. To address this, we generated CRISPR/Cas9-engineered human cell models harboring EXOSC3 p.G191 variants and performed integrated transcriptomic, proteomic, and computational structural analyses. EXOSC3 p.G191 variants produced extensive, allele- and dosage-dependent alterations in gene expression and splicing, with heterozygous variants causing broad but attenuated disruption relative to homozygous EXOSC3 G191D/G191D cells. All EXOSC3 G191 variants promoted increased skipping of exon 3 in EXOSC3 transcripts, generating a short isoform predicted to encode an unstable proteoform. Molecular dynamics and {lambda}-dynamics simulations predicted substantial thermodynamic destabilization of all EXOSC3 G191 variant proteoforms, consistent with reduced protein abundance and thermal stability measured by global proteomics and PISA. At the protein complex level, EXOSC3 p.G191 variants were associated with coordinated decreases in all RNA exosome core subunits and the exonuclease EXOSC10, consistent with destabilization of RNA exosome assembly and orphan protein decay. In contrast, the catalytic exonuclease DIS3 and multiple independent RNA processing pathways were upregulated, indicating compensatory recalibration of RNA metabolism. Together, these findings link variant-induced alternative splicing, RNA exosome complex destabilization, and adaptive network responses to phenotypic variability in EXOSC3 p.G191-associated disease.

systems biology↗

NK Cells Engineered with a Chimeric Antigen Receptor Delay HIV Rebound and Reshape HIV Reservoir Composition

Durable HIV remission will require strategies that eliminate or permanently silence the latent reservoir that persists despite antiretroviral therapy (ART). Natural killer (NK) cells possess inherent antiviral activity, but unmodified NK cells have limited ability to recognize or clear latently infected cells during ART suppression. We engineered allogeneic human primary NK cells expressing a truncated CD4-based chimeric antigen receptor (D1D2-CAR) that targets the conserved CD4 binding site on HIV Env without permitting viral entry, and evaluated their activities in humanized mice infected with barcoded CCR5-tropic HIV. D1D2-CAR NK cells selectively killed HIV-infected primary CD4 T cells in vitro and significantly delayed viral rebound following ART interruption in humanized mice compared to GFP-NK or no NK control groups. Barcoded HIV tracking showed that CAR-NK treatment reduced the number, diversity, and inter-organ overlap of rebounding viral RNA and proviral DNA lineages, yielding rebound driven by a restricted set of dominant clones. Integration site and chromatin analysis further demonstrated selective depletion of proviruses positioned in genes, enhancers, promoters, and open chromatin. These findings show that CAR-NK cells can target rare reactivation events during ART suppression and reshape the reservoir toward a less rebound-competent, epigenetically repressive state.

immunology↗

PersonaAI: An Interactive Agentic-AI Framework for Autonomous Hypothesis Generation and Validation in Aging

Elucidating the mechanisms of aging is impeded by its stochastic, multi-scale nature and cellular heterogeneity, challenges that are compounded by the overwhelming volume of biomedical literature and the complexity of genome-wide datasets. To overcome these barriers, we present PersonaAI, an interactive agentic-AI framework that acts as a digital co-scientist. By integrating literature-based reasoning with autonomous in silico validation, PersonaAI synthesizes over 560,000 aging-related publications via retrieval-augmented generation (RAG) to propose mechanistic hypotheses. These hypotheses are subsequently validated by autonomous agents utilizing single-cell RNA-seq data. Using a temporal cutoff strategy restricted to pre-2020 literature, we demonstrate that PersonaAI can generate hypotheses effectively validated by post-2021 discoveries, proving its capacity for inference beyond simple information retrieval. In application, the system identified senescent Cirbp+ hepatocytes as a liver-intrinsic aging program and uncovered a middle-aged, male-specific decline in adipose stem and progenitor cells, driven by vascular niche deterioration and disrupted VEGF-VEGFR signaling. These results establish PersonaAI as a scalable platform that augments human intuition with autonomous data-driven validation, providing a generalizable platform for accelerating discovery in aging biology.

bioinformatics↗

Mitochondrial Double-Stranded RNA Triggers Ferroptosis via PKR-ISR Signaling in Renal Ischemia-Reperfusion Injury

Renal ischemia-reperfusion (IR) injury remains a leading cause of acute kidney injury, although the precise molecular pathways responsible for tissue injury are not fully understood. In this study, we demonstrate that IR initiates ferroptosis through activation of the PKR-dependent integrated stress response (ISR), which is driven by the accumulation of mitochondrial double-stranded RNA (dsRNA). Our mechanistic investigations reveal that IR perturbs mitochondrial homeostasis, leading to the accumulation of mitochondrial dsRNA and its subsequent release into the cytosol, thereby activating the dsRNA-dependent kinase PKR. Activation of PKR results in eIF2 phosphorylation and maladaptive ISR signaling, which facilitates ferroptosis and impairs renal function. Notably, genetic ablation of PKR or pharmacological intervention to inhibit ISR significantly reduced ferroptosis and preserved renal function. Collectively, these results identify the mitochondrial dsRNA-PKR-ISR axis as a critical mediator of ferroptotic renal injury and highlight its potential as a therapeutic target in ischemic acute kidney injury.

cell biology↗

Critical role of cell competition in gliomagenesis

ABSTRACTMalignant glioma is incurable. Using a mouse genetic mosaic system to generate sporadic Trp53,Nf1-null OPCs, we previously identified oligodendrocyte precursor cell (OPC) as a cell-of-origin of glioma. Here, we report that pre-malignant Trp53,Nf1-null OPCs outcompete wildtype counterparts during their expansion. Blocking competition by mutating/strengthening wildtype OPCs impeded both pre-malignant progression and malignant expansion of glioma. "In-tissue" phosphoproteomic profiling revealed an enrichment of phosphopeptides related to RNA splicing and protein translation at the peak of cell competition, suggesting that competitiveness may stem from unique protein species. Among candidates was mTORC1, whose pharmacological inhibition or genetic disruption resulted in a loss of competitiveness in our mouse model. Finally, analysis of patient biopsies and interrogating the role of individual gliomagenic mutations in OPC competition supported its relevance in human gliomas. Together, these findings identified the driving role of competitive interactions among OPCs in gliomagenesis, and suggest unconventional therapeutic strategies to target this process.

cancer biology↗

Oxytocin Modulation of Spinal Circuits Drives Therapeutic Benefits of Massage

Across social species, social touch enhances well-being and reduces pain -- two seemingly distinct benefits that enhance survival. Yet where and how the nervous system integrates these functions, and whether a single mechanism could serve both, remains unknown. Here we show that massage triggers oxytocin release, which shapes both pain and touch reward at the earliest stage of central processing -- the spinal cord -- through a single, state-dependent circuit mechanism. We report that in humans, massage enhances well-being, effects that correlate with endogenous oxytocin release. In mice, gentle touch activates hypothalamic oxytocin neurons that project directly to the spinal dorsal horn. Genetic manipulation of spinal oxytocin circuits alters behavioral responses to both gentle touch and noxious stimuli. Spinal calcium imaging and slice electrophysiology reveal that oxytocin acts on both excitatory and inhibitory spinal neurons to sculpt the relative activity of spinal ascending systems that convey both social touch and pain to the brain. Extending these findings to humans, we show that oxytocin receptors are also expressed on spinal excitatory and inhibitory neurons, and that endogenous oxytocin during massage correlates with altered spinal touch processing. Thus, spinal oxytocin signaling provides an evolutionarily conserved mechanism for the therapeutic benefits of massage.

neuroscience↗

Pharmacological intervention targeting neuroimmune axis in the aging hypothalamus prevents age-associated physiological decline

Systemic physiological aging is largely driven by disrupted metabolic homeostasis, yet the central mechanisms of this metabolic dysfunction remain poorly defined. Here, we identify the hypothalamus as a critical hub driving systemic aging through neuroimmune-mediated mechanisms. Single-cell transcriptomic and immunohistochemical analyses revealed that aged hypothalami exhibit significant infiltration of CD8 T lymphocytes, beginning in middle age, with signatures of activation and tissue residency. These T cells intimately interact with tanycytes and microglia, promoting neuroinflammation and progressive tanycyte loss, a defining hallmark of hypothalamic aging. T cell receptor profiling revealed a substantial presence of invariant natural killer T (iNKT) and mucosal-associated invariant T (MAIT) cells, likely activated through cytokine-driven, antigen-independent mechanisms. In aged hypothalamus, microglia secrete chemokines CCL3 and CCL4, whose ectopic expression in young mice was sufficient to trigger persistent hypothalamic T cell infiltration and accelerated systemic aging. Circulating oxidized LDLs (OxLDLs) were identified as upstream inducers of this chemokine response. Notably, pharmacological blockade of the CCL3/4-CCR5 axis with Maraviroc and Cenicriviroc prevented T cell recruitment and ameliorated metabolic and physiological impairments. Given the clinical safety of CCR5 antagonists and individuals lacking functional CCR5 remain generally healthy throughout life, our findings highlight midlife CCL3/4-CCR5 inhibition as a translatable therapeutic target for delaying age-related decline and promoting healthspan.

neuroscience↗

Scalable high-fidelity human vascularized cortical assembloids recapitulate neurovascular co-development and cell specialization

Human cortical development involves the coupling of neurogenesis and cerebrovascular growth. However, interactions between neural and vascular cells are largely missing in most brain organoids, which are crucial models for studying neurodevelopment and disease. Here, we establish vascularized cortical assembloids (vCAs) by fusing mesoderm-derived vascular organoids (VOs) with cortical organoids (COs). vCAs self-assemble lumenized networks of endothelial cells, pericytes, and perivascular fibroblasts that acquire blood-brain barrier (BBB) specialization and arteriovenous specification in vitro. Single-cell RNA-sequencing and immunofluorescence imaging revealed that vascularization improves neuroepithelial architecture, reduces hypoxia and apoptosis, expands cortical progenitor pools, and enhances neuronal maturation and connectivity compared with COs. Moreover, atlas-level integration with human neurodevelopmental tissue and cross-protocol benchmarking demonstrate superior transcriptional concordance, especially for vascular cell and glial populations, relative to existing approaches. This scalable and reproducible platform improves fidelity and throughput for modeling human neurovascular co-development and enables systematic studies across brain regions and diseases using engineered or patient-derived iPSCs.

developmental biology↗