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Biology subjects

Kim, Y. H.

Publications and source records attributed to Kim, Y. H..

At least 19 recordsLinked to original sources

Microscale Characterization of Undecalcified Bone Tissue Using Correlative Atomic Force Microscopy and Histology

Characterizing bone tissue in its mineralized state remains technically challenging. Conventional approaches typically compromise mechanical integrity through decalcification or lack the structural resolution necessary to capture microscale heterogeneity. Here we present an integrated workflow combining atomic force microscopy (AFM) with histological and immunofluorescence assays on adjacent undecalcified bone tissue cryosections. Using a tape-transfer mounting approach, we resolve mechanically and structurally distinct tissue types within a minimally processed single mouse femur section. Furthermore, we show that decalcification substantially alters nanoscale surface topography and local mechanical properties. Applied to an aging cohort of C57BL/6J female mice spanning 7 to 115 weeks, the proposed method detects age-associated changes in bone matrix structure and stiffness. The approach provides a practical methodology for spatially correlating nanomechanical properties with molecular markers in bone and other mineralized tissues, with broad applicability to disease models including cancer metastasis, osteoporosis, and osteoarthritis.

biophysics↗

A de novo designed enzyme for photo-proximity labeling of E3 ligase neighborhoods in live cells

Photocatalytic proximity labeling proteomics (photo-PLP) has emerged as a powerful technology for rapid capture of protein interactomes in situ. Typically, photo-PLP relies on chemical conjugation of the photocatalyst to the target of interest which creates practical challenges for derivatized photocatalyst synthesis and bioconjugation specificity. Integrating the precision of genetically encodable enzymes with the versatility of chemically defined photocatalysts provides a modular approach to further expand the scope of neighborhood mapping. Here, we present EYClamp, a de novo designed proximity labeling enzyme harnessing the off-the-shelf photocatalyst Eosin Y (EY) as a cofactor. Using a domain-swapped dimer architecture, we designed a scaffold that binds EY with high affinity (Kd = 10 nM) and lengthens its triplet excited-state lifetime by 29-fold. EYClamp enables efficient, multi-scale photocatalytic proximity labeling in live cells with aryl-diazirine-, aryl-azide- and phenol-biotin. We genetically fused EYClamp to a panel of six important E3 ligases. Using EYClamp, we identified over 1,500 candidate neighbors for KEAP1, MDM2, ASB7 and STUB1, providing a broad and unbiased view of these important neighborhoods. Critical functional networks were revealed including ASB7 engagement with HP1a/CUL5 complex for heterochromatin remodeling. Our EYClamp provides a genetically encodable "plug-and-play" solution for photo-PLP interactome discovery of the large family of E3 ligases and establishes domain-swapping as a promising strategy for de novo photoenzyme design.

biochemistry↗

Reduced cortical VPS26B levels are associated with altered glutamate receptor expression and synaptic protein loss in the primary motor cortex of a Parkinsonian mouse model

Parkinsons disease (PD) is associated with motor impairment and cortical synaptic dysfunction, which involve altered glutamate receptor trafficking, yet the underlying mechanisms remain incompletely understood. VPS26B, a component of the retromer complex, regulates GluA1 recycling in the trans-entorhinal cortex region. However, its role in the primary motor cortex (M1) under Parkinsonian conditions has not been explored. Here, we show that VPS26B levels are reduced in the M1 of an MPTP-induced PD mouse model, accompanied by decreased surface GluA1 and synaptic protein levels. VPS26B overexpression partially attenuated these alterations. In the accelerating rotarod test, VPS26B-deficient mice exhibited unstable motor performance following MPTP administration, whereas VPS26B overexpression was associated with improved performance in both wild-type and knockout mice. These findings suggest that cortical VPS26B may contribute to maintaining glutamate receptor surface expression and synaptic protein levels, especially under Parkinsonian conditions, with potential implications for motor learning.

neuroscience↗

Janus kinase 2 regulates Nurr1 protein stability in dopaminergic neurons of the aging midbrain

The nuclear receptor Nurr1 (NR4A2) is an essential transcription factor that governs the differentiation, maturation, and long-term maintenance of midbrain dopaminergic (mDA) neurons in the substantia nigra. Reduced Nurr1 expression has been closely linked to age-related dopaminergic neuronal loss and the pathogenesis of Parkinsons disease. However, the molecular mechanisms regulating Nurr1 expression and protein stability in the aging midbrain remain poorly understood. Here, we identify Janus kinase 2 (JAK2) as a previously unrecognized regulator of Nurr1 in mDA neurons. In the substantia nigra of aged mice (12-and 18-month-old), JAK2 was robustly expressed in Nurr1-positive mDA neurons, whereas its expression was minimal in young adult mice. In SK-N-BE(2)C neuroblastoma cells, overexpression of JAK2 modestly enhanced Nurr1 transcriptional activity, while the constitutively active mutant JAK2V617F markedly increased it. Notably, this effect was not blocked by pharmacological inhibition of STAT, PI3K, or Akt signaling pathways, indicating that JAK2 regulates Nurr1 independently of canonical JAK/STAT or PI3K/Akt signaling. Mechanistically, JAK2 did not promote tyrosine phosphorylation of Nurr1 but instead physically interacted with Nurr1, leading to enhanced nuclear stability of the Nurr1 protein. Consistent with this mechanism, expression of JAK2V617F increased Nurr1 protein levels without altering its mRNA expression. Functionally, co-expression of JAK2V617F and Nurr1 attenuated oxidative stress-induced cytotoxicity and reduced reactive oxygen species accumulation. Together, these findings reveal a phosphorylation-independent mechanism by which JAK2 stabilizes Nurr1 protein and enhances its transcriptional activity. Our results further suggest that age-associated induction of JAK2 in dopaminergic neurons may promote neuronal resilience by maintaining Nurr1 protein stability during aging.

neuroscience↗

Phosphorylation-driven Targeted Protein Degradation of Oncogenic β-catenin

Therapeutic strategies to inhibit the Wnt signalling pathway for cancer treatment have, so far, failed to advance to the clinic. Induced-proximity drugs are revolutionizing our ability to tackle targets previously considered undruggable. Here, we used an unbiased genome-scale approach to identify induced-proximity protein candidates that inhibit the central Wnt signalling effector {beta}-catenin in colorectal cancer cells. While the identification of several E3 ubiquitin ligases validated our approach, we uncovered that inducing proximity to members of the Casein kinase I (CSNK1) family leads to {beta}-catenin degradation and inhibits the growth of colorectal cancer cells harbouring Wnt pathway mutations. We show that {beta}-catenin degradation induced by CSNK1 proximity is kinase activity- and proteasome-dependent. We propose that the formation of a neo-degron, through kinase recruitment, can expand induced-proximity drug targeting strategies.

molecular biology↗

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↗

Understanding Structural Mechanics of Ligated DNA Crystals via Molecular Dynamics Simulation

DNA self-assembly is a highly programmable method that can construct arbitrary architectures based on sequence complementarity. Among various constructs, DNA crystals are macroscopic crystalline materials formed by assembling motifs via sticky end association. Due to their high structural integrity and size ranging from tens to hundreds of micrometers, DNA crystals offer unique opportunities to study structural properties and deformation behaviors of DNA assemblies. For example, enzymatic ligation of sticky ends can selectively seal nicks resulting in more robust structures with enhanced mechanical properties. However, the research efforts have been mostly on experiments such as different motif designs, structural optimization, or new synthesis methods, while their mechanics are not fully understood. The complex properties of DNA crystals are difficult to study via experiment alone, and numerical simulation can complement and inform the experiment. Coarse-grained molecular dynamics (MD) simulation is a powerful tool that can probe the mechanics of DNA assemblies. Here, we investigate DNA crystals made of four different motif lengths with various ligation patterns (full ligation, major directions, connectors, and in-plane) using oxDNA, an open-source, coarse-grained MD platform. We find that several distinct deformation stages emerge in response to mechanical loading and that the number and the location of the ligated nucleotides can significantly modulate structural behaviors. These findings should be useful for predicting crystal properties and thus improving the design.

biophysics↗

Mechanoimmunological Control of Metastatic Site Selection

Cancer cells alter their mechanical properties in response to the rigidity of their environment. Here, we explored the implications of this environmental mechanosensing for anti-tumor immunosurveillance using single cell biophysical profiling and metastasis models. Cancer cells stiffened in more rigid environments, a biophysical change that sensitized them to cytotoxic lymphocytes. In immunodeficient mice, this behavior manifested in the outgrowth of stiffer metastatic cells in the rigid bone than in the soft lung, while in immunocompetent hosts, it led to preferential elimination of stiffer cancer cells and suppression of bone metastasis. Environmentally-induced cell stiffening and immune sensitization both required Osteopontin, a secreted glycoprotein that is upregulated during bone colonization. Analysis of patient metastases spanning mechanically distinct tissues revealed associations between environmental rigidity, immune infiltration, and cancer cell stiffness consistent with mechanically driven immunosurveillance. These results demonstrate how environmental mechanosensing modulates anti-tumor immunity and suggest a mechanoimmunological basis for metastatic site selection.

cancer biology↗

Intracortical injection of immune checkpoint inhibitor promotes monocyte/macrophage infiltration and restores microglial function and neuronal activity in an AD mouse model

Alzheimer's disease (AD) involves complex neuroimmune interactions. However, the role of immune checkpoint pathways in regulating the glial and neuronal functions of the AD brain remains unclear. This study aims to investigate how the brain-specific modulation of the PD-1/PD-L1 axis affects glial and neuronal function in an AD mouse model, which is characterized by the significant upregulation of microglial PD-1 and astrocytic PD-L1. A single intracortical administration of anti-PD-L1 antibody reshaped the glial microenvironment, which was accompanied by the restoration of impaired microglial process convergence. Astrocyte-specific Pd-l1 knockdown using the pSico system validated the essential role of astrocytic PD-L1 in enhancing microglial responses. Notably, the blockade of the PD-1/PD-L1 signaling pathway increased the microglial P2RY12 expression, a key marker of microglial homeostasis, which likely contributed to the restoration of neuronal hyperactivity. Collectively, these findings confirmed the potential of targeting the astrocyte-microglia PD-1/PD-L1 axis to mitigate AD pathology.

neuroscience↗

Leukemia inhibitory factor (LIF) receptor amplifies pathogenic activation of fibroblasts in lung fibrosis

Fibrosis drives end-organ damage in many diseases. However, clinical trials targeting individual upstream activators of fibroblasts, such as TGF{beta}, have largely failed. Here, we target the leukemia inhibitory factor receptor (LIFR) as a "master amplifier" of multiple upstream activators of lung fibroblasts. In idiopathic pulmonary fibrosis (IPF), the most common fibrotic lung disease, we found that lung myofibroblasts had high LIF expression. Further, TGF{beta}1, one of the key drivers of fibrosis, upregulated LIF expression in IPF fibroblasts. In vitro anti-LIFR antibody blocking on human IPF lung fibroblasts reduced induction of profibrotic genes downstream of TGF{beta}1, IL-4 and IL-13. Further, siRNA silencing of LIFR in IPF precision cut lung slices reduced expression of fibrotic proteins. Together, we find that LIFR drives an autocrine positive feedback loop that amplifies and sustains pathogenic activation of IPF fibroblasts downstream of multiple external stimuli, implicating LIFR as a therapeutic target in fibrosis. Significance StatementFibroblasts have a central role in the pathogenesis of fibrotic diseases. However, due to in part to multiple profibrotic stimuli, targeting a single activator of fibroblasts, like TGF{beta}, has not yielded successful clinical treatments. We hypothesized that a more effective therapeutic strategy is identifying a downstream "master amplifier" of a range of upstream profibrotic stimuli. This study identifies the leukemia inhibitory factor receptor (LIFR) on fibrotic lung fibroblasts amplifies multiple profibrotic stimuli, such as IL-13 and TGF{beta}. Blocking LIFR reduced fibrosis in ex vivo lung tissue from patients with idiopathic pulmonary fibrosis (IPF). LIFR, acting as a master amplifier downstream of fibroblast activation, offers an alternative therapeutic strategy for fibrotic diseases.

cell biology↗

Structure of recombinant formate dehydrogenase from Methylobacterium extorquens (MeFDH1)

Formate dehydrogenase (FDH) is critical for the conversion between formate and carbon dioxide. Despite its importance, the structural complexity of FDH and difficulties in the production of the enzyme have made it difficult to elucidate its unique physicochemical properties. Here, we purified recombinant Methylobacterium extorquens AM1 FDH (MeFDH1) and used cryo-electron microscopy to determine its structure. We resolved a heterodimeric MeFDH1 structure at a resolution of 2.8 [A], showing a noncanonical active site and a well-embedded Fe-S redox chain relay. In particular, the tungsten bis-molybdopterin guanine dinucleotide active site showed an open configuration with the flexible C-terminal cap domain, suggesting structural and dynamic heterogeneity in the enzyme. SIGNIFICANCE- A recombinant MeFDH1 from an inducible expression system - Structural characterization of recombinant MeFDH1 for its catalytic activity - A dynamic, open configuration of the C-terminal cap domain

biophysics↗

Selective inhibition of interleukin-2 inducible T cell kinase (ITK) enhances anti-tumor immunity in association with Th1-skewing, cytotoxic T cell activation, and reduced T cell exhaustion

ITK is a tyrosine kinase expressed predominantly by T lymphocytes. In mice, selective knock-out of the ITK gene produces Th1 skewing of T helper cell differentiation. We synthesized a covalent ITK inhibitor, soquelitinib, that binds ITK with greater than 100-fold selectivity compared to binding to resting lymphocyte kinase (RLK). In vitro studies with normal or malignant T cells demonstrated that soquelitinib suppresses Th2 cytokine production preferentially with relative sparing of Th1 cytokines. Soquelitinib inhibits the in vivo growth of several syngeneic murine tumors including those that do not express ITK. Treatment with soquelitinib leads to increased tumor infiltration of normal CD8+ cells that possess enhanced T effector function. Soquelitinib inhibited expression of T cell exhaustion markers and was able to restore T effector function to exhausted cells. Pharmacologic selective ITK inhibition may represent a novel approach to cancer immunotherapy.

cancer biology↗

Loss-of-SIRT7 sensitizes hepatocellular carcinoma to sorafenib through the regulation of ERK Phosphorylation

The FDA-approved oral multi-kinase inhibitor, sorafenib (BAY 43-9006, Nexavar), is the first approved systemic therapy for patients with unresectable hepatocellular carcinoma (HCC). Although it has been shown to significantly improve the overall survival of patients with HCC, drug resistance limits the response rate to this therapeutic. Here, we report that acquired sorafenib resistance is associated with overexpression of the deacetylase, SIRT7, and a high level of ERK phosphorylation. Further, we identify that the hyperactivation of ERK is controlled by SIRT7-mediated deacetylation of DDX3X. The inhibition of SIRT7 combined with sorafenib resulted in a marked reduction of cell viability in vitro and of tumor growth in vivo. It seems plausible that SIRT7 is responsible for the acquired sorafenib resistance and its inhibition is most likely beneficial together in conjunction with sorafenib by suppressing ERK signaling. HighlightsO_LISorafenib resistance in HCC is associated with SIRT7 and ERK hyperactivation. C_LIO_LISuppression of SIRT7 combined with sorafenib restores sensitivity to sorafenib. C_LIO_LISIRT7 controls sorafenib resistance through ERK activation by mediating DDX3X deacetylation. C_LI

cancer biology↗

Resilient CD8+ T cells maintain a high cytotoxic capacity by balancing ROS via ME1 upregulation

Cytotoxic T lymphocytes (CTL) are indispensable in anti-tumor immunity. Although CTLs are prone to exhaustion in patients with advanced cancer, T cell resiliency explains the presence of tumor-reactive CTLs that are less exhausted, capable of cytolytic function, expansion, and rebound in response to immunotherapy to reject metastatic malignances. However, the features of resilient T cells have not been clearly defined. In this report, we demonstrate that peripheral CX3CR1+ CD8+ T cells with low mitochondrial membrane potential rebounded CTL function quickly after radiation therapy in patients with large tumor burden portraying their functional resiliency. Furthermore, CX3CR1+ CD8+ T cell with low, but not high, mitochondrial membrane potential are highly cytotoxic, accumulate less reactive oxygen species (ROS), and express more Malic enzyme 1 (ME1). ME1 overexpression increases ATP production in a glycolysisindependent manner while concurrently curtailing excessive ROS in activated CD8+ T cells; and expands CX3CR1+NKG7+ effector CD8+ T cells with enhanced cytotoxicity. Importantly, transfection of ME1 mRNA promotes tumoricidal activity in CD8+ T cells from patients with advanced cancers. Our study reveals a mechanism used by CTLs to balance excessive ROS via ME1 to maintain a metabolic and functional resiliency. Modification of ME1 expression in CTLs may be a novel method to improve the efficacy of cancer immunotherapy by preventing T cell exhaustion. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=191 SRC="FIGDIR/small/517988v3_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@12e0f36org.highwire.dtl.DTLVardef@e8d412org.highwire.dtl.DTLVardef@1baf57eorg.highwire.dtl.DTLVardef@14b2b43_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICX3CR1+ and low Dy m identify functional resilient CD8+ T cells. C_LIO_LIResilient CD8+ T cells are highly cytotoxic and have less ROS. C_LIO_LIResilient CD8+ T cells express more ME1 that can balance extra ROS. C_LIO_LIME1 overexpression can promote CTL function of CD8+ T cells. C_LI

immunology↗

Magneto-acoustic protein nanostructures for non-invasive imaging of tissue mechanics in vivo

Measuring cellular and tissue mechanics inside intact living organisms is essential for interrogating the roles of force in physiological and disease processes, and is a major goal in the field of mechanobiology. However, existing biosensors for 3D tissue mechanics, primarily based on fluorescent emissions and deformable materials, are limited for in vivo measurement due to the limited light penetration and poor material stability inside intact, living organisms. While magneto-motive ultrasound (MMUS), which uses superparamagnetic nanoparticles as imaging contrast agents, has emerged as a promising modality for real-time in vivo imaging of tissue mechanics, it has poor sensitivity and spatiotemporal resolution. To overcome these limitations, we introduce magneto-gas vesicles (MGVs), a unique class of protein nanostructures based on gas vesicles and magnetic nanoparticles that produces differential ultrasound signals in response to varying mechanical properties of surrounding tissues. These hybrid protein nanostructures significantly improve signal strength and detection sensitivity. Furthermore, MGVs enable non-invasive, long-term, and quantitative measurement of mechanical properties within 3D tissues and organs in vivo. We demonstrated the performance of MGV-based mechano-sensors in vitro, in fibrosis models of organoids, and in vivo in mouse liver fibrosis models.

biochemistry↗

Relative infectivity of the SARS-CoV-2 Omicron variant in human alveolar cells

With the emergence of multiple highly transmissible SARS-CoV-2 variants during the recent pandemic, the comparison of their infectivity has become a substantially critical issue for public health. However, a direct assessment of these viral characteristics has been challenging due to the lack of appropriate experimental models and efficient methods. Here, we integrated human alveolar organoids and single-cell transcriptome sequencing techniques to facilitate the evaluation. In a proof-of-concept study using the assay with four highly transmissible SARS-CoV-2 variants, including GR (B.1.1.119), Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (BA.1), a rapid evaluation of the relative infectivity was possible. Our results demonstrate that the Omicron (BA.1) variant is 3-5-fold more infectious to human alveolar cells than the other SARS-CoV-2 variants at the early phase of infection. To our knowledge, this study provides the first direct measurement of the infectivity of the Omicron variant and new experimental procedures that can be applied for monitoring newly emerging viral variants.

microbiology↗

A combined transcriptional and dynamic roadmap of single human pancreatic endocrine progenitors reveals proliferative capacity and differentiation continuum

Basic helix-loop-helix genes, particularly proneural genes, are well-described triggers of cell differentiation, yet limited information exists on their dynamics, notably in human development. Here, we focus on Neurogenin 3 (NEUROG3), which is crucial for pancreatic endocrine lineage initiation. Using a double reporter to monitor endogenous NEUROG3 transcription and protein expression in single cells in 2D and 3D models of human pancreas development, we show peaks of expression for the RNA and protein at 22 and 11 hours respectively, approximately two-fold slower than in mice, and remarkable heterogeneity in peak expression levels all triggering differentiation. We also reveal that some human endocrine progenitors proliferate once, mainly at the onset of differentiation, rather than forming a subpopulation with sustained proliferation. Using reporter index-sorted single-cell RNA-seq data, we statistically map transcriptome to dynamic behaviors of cells in live imaging and uncover transcriptional states associated with variations in motility as NEUROG3 levels change, a method applicable to other contexts.

developmental biology↗

AlzGPS: A Genome-wide Positioning Systems Platform to Catalyze Multi-omics for Alzheimer's Therapeutic Discovery

BackgroundOver15 million family members and caregivers have expended $220 billion for care of patients with AD and other dementias, and the attrition rate for AD clinical trials (2002-2012) is estimated at 99.6%. While recent DNA/RNA sequencing and other multi-omics technologies have advanced the understanding of the biology and pathophysiology of AD, no effective disease-modifying or preventive therapies, for AD have emerged in the past two decades. A new approach to integration of the genome, transcriptome, proteome, and human interactome in the drug discovery and development process is essential for this endeavor. MethodsIn this study, we developed AlzGPS (Genome-wide Positioning Systems platform for Alzheimers Therapeutic Discovery, https://alzgps.lerner.ccf.org), a comprehensive systems biology tool to enable searching, visualizing, and analyzing multi-omics, various types of heterogeneous biological networks, and clinical databases for target identification and effective prevention and treatment of AD. ResultsVia AlzGPS: (1) we curated more than 100 AD multi-omics data sets capturing DNA, RNA, protein, and small molecules profiles underlying AD pathogenesis (e.g., early vs. late stage and tau vs. amyloid endophenotype); (2) we constructed endophenotype disease modules by incorporating multi-omics findings and human protein-protein interactome networks; (3) we identified repurposable drugs from [~]3,000 FDA approved/investigational drugs for AD using state-of-the-art network proximity analyses; (4) we curated 300 literature references for highly repurposable drugs; (5) we included information from over 200 ongoing AD clinicals noting drug mechanisms and primary drug targets, and linking them to our integrated multi-omics view for targets and network analyses results for the drugs; (6) we implemented a highly interactive web-interface for database browsing and network visualization. ConclusionsNetwork visualization enabled by the AlzGPS includes brain-specific neighborhood networks for genes-of-interest, endophenotype disease module networks for data sets-of-interest, and mechanism-of-action networks for drugs targeting disease modules. By virtue of combining systems pharmacology and network-based integrative analysis of multi-omics data, the AlzGPS offers actionable systems biology tools for accelerating therapeutic development in AD.

systems biology↗