20 research outputs found

    Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation

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    An accurate analytic model describing the microscopic mechanism of high-harmonic generation (HHG) in solids is derived. Extensive first-principles simulations within a time-dependent density-functional framework corroborate the conclusions of the model. Our results reveal that (i) the emitted HHG spectra are highly anisotropic and laser-polarization dependent even for cubic crystals; (ii) the harmonic emission is enhanced by the inhomogeneity of the electron-nuclei potential; the yield is increased for heavier atoms; and (iii) the cutoff photon energy is driver-wavelength independent. Moreover, we show that it is possible to predict the laser polarization for optimal HHG in bulk crystals solely from the knowledge of their electronic band structure. Our results pave the way to better control and optimize HHG in solids by engineering their band structure

    Association between Seafood Intake and Cardiovascular Disease in South Korean Adults: A Community-Based Prospective Cohort Study

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    Cardiovascular disease (CVD) is the most common non-communicable diseases causing 18.6 million deaths worldwide. Several studies have revealed that seafood consumption has a protective effect against CVD. This study investigated the correlation between CVD and seafood intake based on a 10-year follow-up of the Korean Genome and Epidemiology Study (KoGES). The study population, which included 6565 adults age, 55.65 (±8.68), was divided into seafood intake-based tertiles. CVD included myocardial infarction, coronary artery disease, congestive heart failure, cerebrovascular disease, and peripheral vascular disease. At baseline, participants with low seafood intake also had low eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) intakes. Prospectively, hazard ratios (HRs) with 95% confidence intervals (CIs) for CVD were analyzed using Cox proportional hazards regression models. Seafood intake exhibited a significantly inverse relationship with the cumulative CVD incidence over 10 years regardless of sex (women: log-rank test p < 0.001 and men: log-rank test p < 0.0401). The longitudinal association of low seafood intake with the CVD risk was significantly stronger in female participants after adjusting for confounding variables (HR (95% confidence interval (CI)) = 0.718 (0.519–0.993) p-trend = 0.043). These results suggested that seafood consumption potentially ameliorates CVD risk in middle-aged adults

    Dual Inhibition of MDM2 and MDM4 in Virus-Positive Merkel Cell Carcinoma Enhances the p53 Response

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    Merkel cell polyomavirus (MCV) contributes to approximately 80% of all Merkel cell carcinomas (MCC), a highly aggressive neuroendocrine carcinoma of the skin. MCV-positive MCC expresses small T antigen (ST) and a truncated form of large T antigen (LT) and usually contains wild type p53 (TP53) and RB (RB1). In contrast, virus-negative MCC contains inactivating mutations in TP53 and RB1. While the MCV truncated LT can bind and inhibit RB, it does not bind p53. We report here that MCV LT binds to RB leading to increased levels of ARF, an inhibitor of MDM2, and activation of p53. However, co-expression of ST reduced p53 activation. MCV ST recruits the MYC homologue MYCL (L-Myc) to the EP400 chromatin remodeler complex and transactivates specific target genes. We observed that depletion of EP400 in MCV-positive MCC cell lines led to increased p53 target gene expression. We suspected that the MCV ST-MYCL-EP400 complex could functionally inactivate p53 but the underlying mechanism was not known. Integrated ChIP and RNA-seq analysis following EP400 depletion identified MDM2 as well as CK1�, an activator of MDM4, as target genes of the ST-MYCL-EP400 complex. In addition, MCV-positive MCC cells expressed high levels of MDM4. Combining MDM2 inhibitors with lenalidomide targeting CK1� or an MDM4 inhibitor caused synergistic activation of p53 leading to an apoptotic response in MCV-positive MCC cells and MCC-derived xenografts in mice. These results support dual targeting of MDM2 and MDM4 in virus-positive MCC and other p53 wild type tumors

    MCC cell lines exhibit variable ECAR and sensitivity to MCT1 inhibition.

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    <p><b>A)</b> ECAR (mpH/min) of MKL-1, MKL-2 and WaGa lines (minutes). Cells were treated with oligomycin (1 μM) at the indicated time point (arrow). <b>B-D)</b> XTT proliferation assay of MKL-1, MKL-2 and WaGa cells treated with either DMSO, CHC (5 mM), SR13800 (100 nM), or SR13801 (100 nM) (days).</p

    MCPyV ST increases aerobic glycolysis and MCT1 sensitivity.

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    <p><b>A)</b> Media glucose (Glc) and lactate (Lac) levels (mM) from cultures of IMR90 cells expressing ST or GFP were measured at the indicated day following dox addition. **P < 0.005 calculated using unpaired student’s T test between the marked GFP and ST points. <b>B)</b> ECAR (mpH/min) of IMR90 cells inducibly expressing ST with and without dox addition for 48 hours. ***P < 0.0005 calculated using unpaired student’s T test. <b>C)</b> ECAR of IMR90 cells expressing ST or GFP with CHC (5 mM) or DMSO (minutes) following 48 hours of dox treatment. Cells were treated with oligomycin (1 μM) at the indicated time point. ***P < 0.0005 calculated using unpaired student’s T test between GFP-DMSO and ST-DMSO samples. <b>D)</b> OCR (pmoles/min) of cells (minutes) as in C. <b>E)</b> Growth of IMR90 cells expressing ST or GFP treated with dox and CHC or DMSO was assessed by crystal violet every day for 5 days. ***P < 0.0005 calculated using unpaired, two-tailed student’s T test between ST-DMSO and ST-CHC treatments. Key same as in C.</p

    Temporal transcriptome of IMR90 fibroblasts inducibly expressing MCPyV ST.

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    <p><b>A)</b> IMR90 fibroblasts containing dox-inducible MCPyV ST or GFP vectors were treated with dox and harvested every 8 hours for RNA extraction. Each time point represents three biological replicas. <b>B)</b> Mean ST transcript levels and <b>C)</b> immunoblotting for ST, GFP and vinculin from cells collected every 8 hours for 96 hours following dox treatment. <b>D)</b> Hierarchical clustering and fold change between MCPyV ST and GFP following dox induction for 96 hours. Each bar represents an average of three experiments for each time point. The enrichment of “Cancer Hallmark” gene sets are represented relative to the ST-differentially expressed clusters, including epithelial to mesenchymal transition (EMT), tumor necrosis factor-α (TNFA signaling via NF-κB), hypoxia, mTORC1, oxidative phosphorylation, glycolysis, MYC, and several cell cycle clusters including E2F targets, G2M checkpoint and mitotic spindle. The color bar indicates statistical significance, yellow p < 0.05 and gray p > 0.05.</p

    MYC isoforms differentially regulate glycolysis gene expression and ECAR of MCC cells.

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    <p><b>A)</b> MKL-1 and WaGa cells containing inducible vectors for MYC, MYCN or MYCL were treated with (+) or without (-) dox for 72 hours and lysates were immunoblotted with the indicated antibodies. <b>B)</b> ECAR (mpH/min) of MKL-1 cells inducibly expressing GFP, MYC, MYCN or MYCL after 72 hours of dox addition (minutes). Cells were treated with oligomycin (1 μM) at the indicated time point. *P < 0.05 calculated using unpaired student’s T test between MYC and MYCL samples.</p

    MCPyV-transformed cells exhibit elevated ECAR and sensitivity to MCT1 inhibitors.

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    <p><b>A)</b> Anchorage-independent growth of IMR90 PH, PHL, PHE and PHEL cells. ****P < 0.0001 calculated using ordinary one-way ANOVA with multiple comparisons. <b>B)</b> Basal ECAR (mpH/min) measurement of p53DD, PH, PHE and PHE + MYCL (PHEL) cells. **P < 0.005 and ****P < 0.0001 calculated using ordinary one-way ANOVA with multiple comparisons. <b>C)</b> Proliferation of PHEL cells treated with DMSO, CHC (5 mM), SR13800 (100 nM), or SR13801 (100 nM) was assessed by crystal violet staining. *P < 0.05 calculated using student’s T test between DMSO-SR13800 and DMSO-SR13801 samples. <b>D)</b> Anchorage-independent growth of IMR90 PHE and PHEL cells treated with DMSO, CHC, SR13800 (SR800) or SR13801 (SR801). ****P < 0.0001 calculated using ordinary one-way ANOVA with multiple comparisons.</p
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