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Biology subjects

Yu, K.

Publications and source records attributed to Yu, K..

At least 19 recordsLinked to original sources

Noncanonical CD11b on CD8+ T cells promotes cytotoxic effector function

Cancer immunosurveillance largely relies on effector CD8+ T cells, yet surface determinants of cytotoxic competence within tumor-reactive populations remain incompletely defined. Using single-cell surface proteomics in a mouse breast cancer model, we identified a tumor-enriched subset of antigen-experienced CD8+ T cells expressing CD11b, a prototypic myeloid integrin. CD11b CD8 T cells were detected across mouse tumor models and human solid tumors and, within tumor-reactive populations, CD11b marked cells with greater cytotoxic potential. Following activation, naive CD8+ T cells induced ITGAM transcription and CD18-dependent CD11b surface expression. Mechanistically, CD11b localized to the peripheral adhesive ring of the immune synapse and promoted lytic-granule secretion. Accordingly, CD11b+ T cells exhibited enhanced TCR- and CAR-mediated tumor cell killing, whereas CD11b deletion impaired T cell antitumor activity. Together, these findings identify CD11b as an inducible, noncanonical component of the T cell immune synapse that marks cytotoxic competence and promotes antitumor T cell function.

immunology↗

Systemic iron sequestration restricts the intratumoral CD8+ T cell landscape in pancreas cancer

Systemic iron sequestration occurs frequently in cancer due to inflammation-driven expression of the iron-regulatory hormone hepcidin. The impact of systemic iron availability on tumoral immunity is unclear. Here, we show that elevated serum hepcidin is associated with reduced survival and decreased intratumoral CD8+ T cells in patients with pancreas cancer. While hepcidin is not induced in murine tumor models, administration of a hepcidin mimetic phenocopies the T-cell-depleted tumor microenvironment seen in patients. Mechanistically, chronic antigen-driven mitochondrial dysfunction disrupts iron metabolism and selectively depletes high avidity CD8+ T cells during iron restriction. These findings establish a direct link between hepcidin-mediated iron sequestration and tumoral immunity and nominate systemic iron dysregulation as a therapeutic target to enhance anti-tumoral CD8+ T cell responses.

immunology↗

Species-Specific Roles of RIPK1 and TRADD in TNF-Induced Cell Death Reveal a Translational Gap Between Mouse Models and Human Biology

Mouse models have historically been central to studies of TNF-induced cell death and guided pharmaceutical translation into clinic, based on the assumption that TNF signaling is conserved between human and mouse. Here, our work uncovers critical species-specific differences between the two. By systematically dissecting the roles of RIPK1, TRADD, and sensitivity to RIPK1 inhibitors in TNF signaling--including RIPK1 kinase-dependent and-independent apoptosis--we found that both apoptosis modalities diverge between human and mouse cells. In mouse cells, RIPK1 suppresses TRADD-mediated kinase-independent apoptosis, whereas in human cells, RIPK1 and TRADD act redundantly. Moreover, RIPK1 inhibitors block kinase-dependent apoptosis in mouse but not human cells, despite effectively inhibiting RIPK1 S166 phosphorylation. Cross-species complementation revealed that these discrepancies stem not from RIPK1 itself but from cell-context differences. These findings echo the clinical failures of RIPK1 inhibitors despite efficacy in mouse models and underscore the need for humanized models and therapeutics that more faithfully predict clinical outcomes.

Cell Biology↗

mTORC1 Directs TNF-Induced Life-or-Death Decisions via Complex I Destabilization

The transition from tumor necrosis factor (TNF)-induced plasma membrane-bound complex I to cytosolic death-inducing complex II switches cells from survival to death. However, the precise regulation of this fatal decision is incompletely understood. Here, we show that mTORC1 promotes this transition by destabilizing later-stage complex I without affecting its initial assembly. Inhibition of mTORC1 unleashes ATG9A and FIP200 activity, thereby promoting the accumulation of CHUK (IKK) in complex I. CHUK scaffolds the kinase-active IKK{beta} to stabilize complex I and prevent complex II formation. Activation of this ATG9A/FIP200-CHUK/IKK{beta} axis protects against TNF-induced fulminant hepatitis while compromises antibacterial defense against Staphylococcus aureus. This mTORC1-governed life-or-death transition provides therapeutic insight into TNF-related pathologies--including cancer, metabolic tissue injury, and microbial infections--where mTORC1 activity is frequently suppressed.

Cell Biology↗

Elongin B orchestrates chromatin and transcriptional programs in H3K27M-mutant diffuse midline glioma

Recurrent driver mutations in genes encoding histone H3 (H3.3K27M and H3.1K27M) are observed in [~]80% of diffuse midline gliomas (DMG), which lead to aberrant gene regulation, yet the specific RNA polymerase II (Pol2) regulators that induce transcriptional dysregulation in DMG are not fully defined. We identified multiple regulators of Pol2 elongation as DMG genetic dependencies in a chromatin-focused CRISPR screen. Additional studies confirm that knockout (KO) of the Pol2 SIII complex gene elongin B (ELOB) inhibits DMG cell proliferation in tissue culture and tumor growth in xenograft models. Further genomic analyses reveal that ELOB binding sites are enriched in H3K27M oncohistones and that ELOB KO alters H3K27me3 and H3K27M incorporation at thousands of genomic regions, implicating ELOB in the maintenance of dysfunctional chromatin states in DMG. Correspondingly, PRO-seq and RNA-seq profiling reveal that ELOB loss disrupts Pol2 transcriptional activity and alters the expression of transcripts involved in metabolism, proliferation, and brain development. These findings suggest that Pol2 elongation factors like ELOB cooperate with H3K27M oncohistones to maintain the epigenetic and transcriptional landscape driving DMG malignancy.

cancer biology↗

Integration of spatial single-cell proteomics and spatial metabolomics reveals tumor microenvironment predictive of immunotherapy response in mucosal melanoma

Mucosal melanoma (MuM) is a rare but aggressive malignancy with limited benefit from immune checkpoint inhibition and few predictive biomarkers. We integrated single-cell spatial proteomics (COMET) and spatial metabolomics (MALDI-IMS) to profile 97 tissue cores from 26 patients treated with PD-1/PD-L1 and/or CTLA-4 inhibitors. We profiled 695,444 cells and resolved 25 cell states across eight major cell types. Cellular neighborhood (CN) analysis revealed distinct tumor- and stromal-associated spatial architectures. Responders were enriched for tumor-associated CNs (invasive tumor and tumor boundary) with close spatial proximity among Ki67 tumor cells, CD163 macrophages, and CD11c dendritic cells (DCs), and increased proliferating/cytotoxic CD8+ T-cell subsets. Non-responders showed stromal CN dominance with reduced immune infiltration. Spatial metabolomics identified lower abundance of indole-derived metabolites and reduced indole/tryptophan pathway activity in responders within tumor and TME regions that tracked with DC/macrophage-enriched spatial contexts. This study advances MuM spatial biology and provides a framework for biomarker-driven immunotherapy strategies. Statement of significanceMucosal melanoma (MuM) responds poorly to immune checkpoint blockade, and predictive biomarkers are limited. Integrated spatial proteomics and metabolomics reveal response-associated tumor-immune neighborhood architecture, stromal contexts linked to immune exclusion, and altered indole/tryptophan metabolism in the microenvironment. These spatial features nominate biomarkers and therapeutic hypotheses to improve immunotherapy for MuM.

cancer biology↗

H3 dopaminylation and CaMKII modulate diffuse midline glioma response to CDK9 inhibition

Aberrant neurotransmitter signaling and transcriptional dysregulation are hallmarks of gliomagenesis and represent potential therapeutic targets. Monoamine neurotransmitters such as dopamine and serotonin primarily activate GPCRs but can also function epigenetically as histone H3 modifications. Here, we uncover mechanisms of crosstalk between monoamine neurotransmitter signaling, H3 dopaminylation, and RNA polymerase II (Pol2) transcription in diffuse midline glioma (DMG). We find that co-treatment with Pol2-targeting CDK9 inhibitors (CDK9i) and FDA-approved neuropsychiatric drugs, including selective serotonin reuptake inhibitors (SSRIs), synergistically reduces DMG growth. Mechanistically, CDK9i+SSRI treatment alters H3 dopaminylation patterns and represses synaptic and neurodevelopmental gene transcription associated with CDK9i resistance. Further phospho-proteomic analyses show that CDK9i monotherapy activates pro-survival CaMKII signaling, which can be suppressed by co-treatment with neuromodulatory drugs. These studies establish roles for H3 dopaminylation and neurotransmitter signaling in DMG gene regulation and response to CDK9i, suggesting that monoamine neurotransmitter pathways may be exploited as a therapeutic strategy for DMG.

cancer biology↗

Gut microbiome-dependent IL-1 signaling is a mediator of ACVR1R206H-driven heterotopic ossification

Inflammatory diseases cause significant morbidity and mortality, but their pathobiology is often difficult to dissect due to complex genetic-environmental interactions. Genetic forms of heterotopic ossification, such as fibrodysplasia ossificans progressiva (FOP), reduce genetic variability, allowing careful dissection of non-genetic drivers of inflammation. While >95% of FOP patients harbor the ACVR1R206H mutation, patients exhibit significant variability in disease progression, suggesting a role of environmental drivers. Here, we identify the gut microbiome as a regulator of inflammation-driven HO in FOP. Metagenomic profiling of cohabitating FOP/unaffected sibling pairs revealed a pathogenic gut microbiome profile in FOP patients (Bray-Curtis, p < 0.05). In Pdgfr-Cre/Acvr1R206H (FOP) mice, gut microbiome ablation by antibiotics reduced spontaneous HO formation (47.4% reduction, p < 0.05) and reduced plasma IL-1 pathway activity. IL-1{beta} blockade in FOP mice suppressed trauma-induced HO formation. These findings identify a gut microbiome-IL-1-HO axis with modifiable targets for developing treatments for HO and related inflammatory conditions. One Sentence SummaryAntibiotic disruption of the gut microbiome reduces HO in FOP mice via an IL-1 mediated pathway.

immunology↗

Efficient Generation of Functional TCRαβ+ Cytotoxic T Cells from hiPSCs via Small-Molecule Modulation

Genetically engineered human induced pluripotent stem cells (hiPSCs) represent a promising platform for regenerative medicine and next-generation immunotherapies. While recent advances enable stroma-free differentiation of hiPSCs into mature CD3TCR{beta} cytotoxic T lymphocytes (CTLs), overall efficiency remains limited. Here, we identify small-molecule modulators that enhance T cell output, particularly at the ProT cell stage. Targeted and stage-specific inhibition of AHR, DOT1L, or GSK3 drives robust maturation from ProT to CD4 immature single-positive (ISP) cells, markedly increasing CD4CD8 populations and augmenting CTL production of up to 2000 fold. hiPSC-derived T (iT) cells matured under these conditions display superior activity in cytotoxicity assays using AMG-701 (BCMAxCD3) or Blinatumomab (CD19xCD3). These effects were reproducible across independent hiPSC lines, diverse hematopoietic progenitor generation methods, and multiple stroma-free differentiation platforms, and were further validated in cord blood CD34 cells. Notably, AHR inhibition enhanced T cell development and promoted B lymphopoiesis, revealing shared regulatory pathways in lymphoid lineage specification. We also demonstrate that the Oct4-activating compound OAC1 functions as a weak AHR inhibitor, partially recapitulating the effects of canonical AHR blockers in both cellular and zebrafish AHR reporter systems. Collectively, our findings define key molecular circuits governing human lymphoid differentiation and establish practical strategies to optimize the yield and function of hiPSC-derived cytotoxic T cells. This work advances the development of both universal and autologous hiPSC-derived T cell therapies, offering a path forward even for patient-specific hiPSC lines with suboptimal T cell differentiation potential.

cell biology↗

A Conserved Geometric Code: Extracellular Matrix Curvature Directs Cell Migration Strategy via Nuclear Mechanosensing

Cells navigate complex tissue microenvironments defined by intricate physical cues, yet how they interpret the three-dimensional geometry of the extracellular matrix (ECM) remains an open question. Current models often fail to account for the tortuous architectures found in physiological tissues. Here, we demonstrate that ECM curvature functions as a tissue-specific geometric code read by the cell nucleus. By mapping collagen architectures across cancers and tissues, we find unique curvature fingerprints preserved during metastasis. Using micro-engineered substrates, we show that high curvature imposes localized nuclear bending stress, triggering a Lamin A/C-cPLA2-Ca2+ mechanotransductive cascade. This sensor rewires the cytoskeleton from longitudinal stress fibers to a cortical actomyosin network, driving a sharp transition from fast mesenchymal migration to a slower, exploratory amoeboid phenotype. We term this "nuclear curvotaxis", establishing a physical principle linking static geometry to dynamic strategy, with implications for predicting metastatic risk, understanding immune exclusion, and designing bio-instructive scaffolds for tissue engineering.

biophysics↗

Single-cell lung eQTL dataset of Asian never-smokers highlights the roles of alveolar cells in lung cancer etiology

Single-cell expression quantitative trait loci (sc-eQTL) analyses are powerful in identifying context-specific susceptibility genes from genome-wide association studies (GWAS) loci. However, few studies have comprehensively investigated cells of lung cancer origin in non-European populations. Here, we built a lung sc-eQTL dataset from 129 Korean women never-smokers with epithelial cell enrichment. eQTL mapping identified 2,229 genes with an eQTL in 33 cell types, including East Asian-specific findings when compared to predominantly European datasets. Integration with single-cell chromatin accessibility data demonstrated an enrichment of cell-type specific eQTLs in cell-type matched candidate enhancers, while shared eQTLs were more frequently found near promoters. Colocalization and transcriptome-wide association study unveiled 36 susceptibility genes from 22 cell types in 22 lung cancer loci, including 10 loci not achieving genome-wide significance in prior GWAS. Around 47% of these genes were from cells of the alveoli, underscoring their importance, especially in lung adenocarcinoma (LUAD) susceptibility. Focusing on the trajectory of alveolar epithelial cell regeneration, we detected 785 cell-state-interacting QTLs, which overlapped with 28% (10) of the identified susceptibility genes. Finally, we experimentally validated East Asian-and alveolar type 2 cell-specific eQTL of TCF7L2 underlying East Asian LUAD locus, 10q25.2. Consistent with its role as a Wnt/{beta}-catenin effector, TCF7L2 displayed significant effect on lung adenocarcinoma cell growth. Our data highlighted context-specific susceptibility genes, especially from alveolar cells of lung, contributing to lung cancer etiology.

genetics↗

scAmp analyzes focal gene amplifications at single-cell resolution

Oncogene amplification on extrachromosomal DNA (ecDNA) is a common driver of tumor progression and is associated with acquired drug resistance and poor patient survival. While whole genome sequencing (WGS) studies have revealed the landscape of genes amplified on ecDNA in tumors, it remains challenging to study the subclonal heterogeneity and functional (e.g., transcriptomic) consequences of ecDNA on tumors. To address this, we introduce scAmp: a probabilistic algorithm for detecting and analyzing ecDNA from single-cell datasets. We demonstrate scAmps improved accuracy over WGS approaches on well-characterized cell-lines and its applicability to clinical histopathology. We further showcase scAmp by analyzing 73 patient tumors profiled with single-cell ATAC-seq, where we analyze the subclonal evolution of ecDNA+ subclones and identify the effect of ecDNA amplifications on the chromatin accessibility landscape of cancer cells. Together, we anticipate that scAmp will broadly enable further studies - both retrospective and prospective - that dissect critical questions of how ecDNA affect cancer cells and the tumors in which they reside.

cancer biology↗

PanACRpred: Predicting Accessible Chromatin Regions in Pangenomes using Motif Chaining

In this work, we investigate using motif subsequence features to predict whether a genomic region is accessible to regulatory proteins, i.e. an accessible chromatin region (ACR), enabling transcription of associated genes. We focus on plants, whose agricultural and ecological importance make them interesting and important organisms to study, and whose complex genomes provide important stress tests for our algorithm. We show that motif sequence similarity as found by co-linear chaining can be used in combination with machine learning models to effectively predict ACRs in genome assemblies.

bioinformatics↗

Cell type-resolved proteomics reveals intra- and intercellular signalingin Alzheimers disease

Alzheimers disease (AD) arises from pathological interactions among diverse brain cell types, but cell-specific proteomic changes remain underexplored. Here, we present deep proteomic profiling of sorted or proximity-labeled brain cells from AD mouse models (5xFAD and AppNL-G-F) at multiple ages, quantifying 13,411 proteins in microglia (three subtypes), astrocytes, oligodendrocyte precursor cells, and neurons. We identified 3,028 differentially abundant proteins across these cell types, the majority of which were not detected in bulk proteomic datasets, and constructed cell type-specific networks to define functional modules and hub proteins. Comparison with transcriptomic data revealed that [~]30% of proteomic changes are RNA-independent. Further analyses uncovered cross-cell type signaling proteins conserved in human AD brains, such as pleiotrophin (Ptn), which is transcriptionally enriched in astrocytes but accumulates in microglia. Importantly, recombinant PTN directly activates induced microglia-like (iMG) human cells. Thus, these findings provide a comprehensive cell type-resolved proteomic atlas of AD models, highlighting novel intra- and intercellular signaling events. HighlightsO_LIA high-resolution cell type-resolved proteomic atlas of Alzheimers disease mouse models C_LIO_LI[~]3,000 cell type-specific protein alterations identified beyond bulk tissue analyses C_LIO_LIProteomic profiling of microglial subtypes reveals subtype-specific changes in Alzheimers disease C_LIO_LIAstrocyte-microglia signaling is highlighted and validated through PTN-mediated interactions C_LI

neuroscience↗

A dynamic RNA hub facilitates activation induced cytidine deaminase recruitment to the immunoglobulin heavy chain locus

Activation-induced cytidine deaminase (AID) converts cytosines to uracils within the actively transcribed switch regions to initiate DNA repair and formation of DNA double strand breaks required for immunoglobulin class switch recombination (CSR). How AID specifically targets switch regions remains a key unanswered question. Using a multimodal live cell single molecule imaging approach, we demonstrate that intronic switch regions promote robust transcription by enhancing polymerase loading and persistent transcriptional bursts, resulting in the formation of a dynamic RNA hub consisting of numerous nascent switch transcripts simultaneously tethered to the IgH locus. We further demonstrate that AID interacts with switch region RNA in vivo, and that this interaction is required for recruitment of AID to the IgH locus. Together, our findings show that the RNA hub formed by nascent switch region transcripts may be part of a "class switch recombination center" and drives the specific recruitment of AID to the IgH locus to initiate CSR.

cell biology↗

Behavioral state-dependent norepinephrine dynamics in the primary somatosensory and prefrontal cortices during tactile detection tasks

Animals must integrate sensory information, ignore behaviorally irrelevant stimuli, and respond to behaviorally relevant stimuli to find food, find mates, avoid predators, and ultimately survive. In mammals, these goal-directed behaviors require the coordinated activity of many brain regions, including sensory and prefrontal cortices and neuromodulatory brainstem nuclei like the locus coeruleus (LC), which is the brains primary source of norepinephrine (NE). NE release resulting from LC activity and arousal indexed by pupil size exert strong influences on goal-directed behavior. We explored the relationships between pupil size, cortical noradrenergic dynamics, and behavior in a tactile signal detection task. We monitored pupil dynamics and fluorescent GRABNE signals in somatosensory and medial prefrontal cortices simultaneously during task execution and found that pupil size and synchronization of GRABNE signals at baseline were strong predictors of whether animals chose to respond. Baseline and post-reward cortical GRABNE levels varied strongly with pupil-linked arousal. We also employed a generalized linear model - hidden Markov model (GLM-HMM) framework to identify distinct, stable behavioral states throughout the task that characterize task performance. We found distinct psychometric curves, task-related pupil dynamics, and cortical NE dynamics across these behavioral states. Significance StatementBehavioral state strongly shapes goal-directed behavior, which in turn depends on the coordinated activity of distributed brain regions, including the sensory and prefrontal cortices. By simultaneously measuring pupil size and cortical noradrenergic dynamics, and by identifying psychophysically distinct behavioral states during a tactile detection task, this study establishes links between pupil-linked arousal, norepinephrine signaling in somatosensory and prefrontal cortices, and trial outcomes. These findings provide new insight into how the locus coeruleus - norepinephrine system regulates perception and decision-making.

neuroscience↗

Type 2 diabetes Reprograms Bone Marrow Hematopoiesis and Dysregulates Immune Signaling in Response to Stroke

Type 2 diabetes mellitus (T2DM) worsens stroke outcomes, but the underlying mechanisms linking T2DM to systemic immune dysfunction remain unclear. We investigated whether T2DM alters bone marrow (BM) hematopoiesis and dysregulate immune signaling following ischemic stroke in mice. Single-cell RNA sequencing, GeoMx digital spatial profiling (DSP), nCounter, and flow cytometry were used to analyze BM cells from control (db/+, Ctrl) and diabetic (db/db, T2DM) mice underwent experimental stroke or sham surgery. Diabetes caused marked structural remodeling of BM, with reduced cellularity and imbalance of hematopoietic lineages. Pseudotime trajectory analysis revealed impaired differentiation and maturation signatures of hematopoietic progenitor cells (HPC1) and granulocytes, and overactivation toward monocytes in diabetes after stroke. CellChat analysis demonstrated reorganization of intercellular communication, with hematopoietic progenitor cells (HPC1) and monocytes emerging as dominant signaling hubs through upregulated MIF, SIRP, and THBS pathways. AUCell enrichment indicated increased glycolysis and oxidative phosphorylation but reduced interferon-{gamma} (IFN-{gamma}) signaling, reflecting metabolic activation coupled with immune dysregulation. DSP and nCounter further confirmed upregulation of genes in the MIF, SIRP and THBS pathways in CD115 monocytes and Ly6G neutrophils, indicating proinflammatory and migratory activation in diabetic bone marrow. Our data suggest that T2DM reprograms hematopoiesis and signaling networks, leading to maladaptive myeloid responses and impaired immune regulation after stroke. This maladaptive BM environment amplifies inflammation and limits repair, linking diabetic metabolic stress to worsened ischemic outcomes. Targeting bone marrow immune dysfunction may offer a therapeutic strategy to improve stroke recovery in diabetic patients.

neuroscience↗

Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across Multi-Omics Data

Biological traits such as genes, metabolites, and microbial taxa interact within complex networks, yet how genomic factors shape these interactions remains poorly understood. Here, we introduce GFBioNet, a computationally efficient method for identifying factors that modulate direct associations between biological traits within network models. Our two-stage strategy first estimates a baseline network using Gaussian graphical models and then tests whether genomic factors modulate specific network edges (trait-trait relationships), enabling scalable analysis of high-dimensional multi-omics data while explicitly controlling the false discovery rate (FDR). Simulations demonstrate reliable FDR control and high statistical power across a broad range of settings. Applied to multiple datasets, GFBioNet reveals host genetic variants influencing oral microbiome relationships, gut microbial taxa modulating metabolite networks in colorectal cancer, and somatic mutations and copy-number alterations reshaping gene expression networks in lung adenocarcinoma. By expanding network analysis to evaluate modifiers of trait-trait relationships, GFBioNet offers a versatile tool for uncovering the genomic architecture of biological networks across multi-omics studies.

genomics↗