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Aromatic polyketides comprise an important and structurally diverse group of natural products synthesized from microbes and plants.1 This family includes a number of highly successful pharmaceutical compounds, including tetracycli...
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Aromatic polyketides comprise an important and structurally diverse group of natural products synthesized from microbes and plants.1 This family includes a number of highly successful pharmaceutical compounds, including tetracycline, daunoru-bicin and mithramycin. On the other hand, some human or plant diseases have been linked to fungal mycotoxins,2 many of which are aromatic polyketides. The rich biological activities, both beneficial and harmful, and structural complexity of aromatic polyketides have attracted research interests into the discovery and biosynthesis of these compounds.
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Clustering of functional magnetic resonance imaging (fMRI) time series--either directly or through characteristic features such as the cross-correlation with the experimental protocol signal--has been extensively used for the iden...
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Clustering of functional magnetic resonance imaging (fMRI) time series--either directly or through characteristic features such as the cross-correlation with the experimental protocol signal--has been extensively used for the identification of active regions in the brain. Both approaches have drawbacks; clustering of the time series themselves may identify voxels with similar temporal behavior that is unrelated to the stimulus, whereas cross-correlation requires knowledge of the stimulus presentation protocol. In this paper we propose the use of autocorrelation structure instead--an idea borrowed from geostatistics; this approach does not suffer from the deficits associated with previous clustering methods. We first formalize the traditional classification methods as three steps: feature extraction, choice of classification metric and choice of classification algorithm. The use of different characteristics to effect the clustering (cross-correlation, autocorrelation, and so forth) relates to the first of these three steps. We then demonstrate the efficacy of autocorrelation clustering on a simple visual task and on resting data. A byproduct of our analysis is the finding that masking prior to clustering, as is commonly done, may degrade the quality of the discovered clusters, and we offer an explanation for this phenomenon.
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Large genome-wide association studies (GWAS) have been performed to detect common genetic variants involved in common diseases, but most of the variants found this way account for only a small portion of the trait variance. Furthe...
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Large genome-wide association studies (GWAS) have been performed to detect common genetic variants involved in common diseases, but most of the variants found this way account for only a small portion of the trait variance. Furthermore, candidate gene-based resequencing suggests that many rare genetic variants contribute to the trait variance of common diseases. Here we propose two designs, sibpair and unrelated-case designs, to detect rare genetic variants in either a candidate gene-based or genome-wide association analysis. First we show that we can detect and classify together rare risk haplotypes using a relatively small sample with either of these designs, and then have increased power to test association in a larger case-control sample. This method can also be applied to resequencing data. Next we apply the method to the Wellcome Trust Case Control Consortium (WTCCC) coronary artery disease (CAD) and hypertension (HT) data, the latter being the only trait for which no genome-wide association evidence was reported in the original WTCCC study, and identify one interesting gene associated with HT and four associated with CAD at a genome-wide significance level of 5%. These results suggest that searching for rare genetic variants is feasible and can be fruitful in current GWAS, candidate gene studies or resequencing studies.
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BACKGROUND: Intravenous anesthetics have marked effects on memory function, even at subclinical concentrations. Fundamental questions remain in characterizing anesthetic amnesia and identifying affected system-level processes. The...
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BACKGROUND: Intravenous anesthetics have marked effects on memory function, even at subclinical concentrations. Fundamental questions remain in characterizing anesthetic amnesia and identifying affected system-level processes. The authors applied a mathematical model to evaluate time-domain components of anesthetic amnesia in human subjects. METHODS: Sixty-one volunteers were randomized to receive propofol (n = 12), thiopental (n = 13), midazolam (n = 12), dexmedetomidine (n = 12), or placebo (n = 12). With drug present, subjects encoded pictures into memory using a 375-item continuous recognition task, with subsequent recognition later probed with drug absent. Memory function was sampled at up to 163 time points and modeled over the time domain using a two-parameter, first-order negative power function. The parietal event-related P2-N2 complex was derived from electroencephalography, and arousal was repeatedly sampled. Each drug was evaluated at two concentrations. RESULTS: The negative power function consistently described the course of amnesia (mean R = 0.854), but there were marked differences between drugs in the modulation of individual components (P < 0.0001). Initial memory strength was a function of arousal (P = 0.005), whereas subsequent decay was related to the reaction time (P < 0.0001) and the P2-N2 complex (P = 0.007/0.002 for discrete components). CONCLUSIONS: In humans, the amnesia caused by multiple intravenous anesthetic drugs is characterized by arousal-related effects on initial trace strength, and a subsequent decay predicted by attenuation of the P2-N2 complex at encoding. The authors propose that the failure of normal memory consolidation follows drug-induced disruption of interregional synchrony critical for neuronal plasticity and discuss their findings in the framework of memory systems theory.
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T lymphocytes develop into two major lineages characterized by expression of the alphabeta and gammadelta T cell receptor (TCR) heterodimers. Within each major lineage, further specialization occurs, resulting in distinct subsets ...
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T lymphocytes develop into two major lineages characterized by expression of the alphabeta and gammadelta T cell receptor (TCR) heterodimers. Within each major lineage, further specialization occurs, resulting in distinct subsets that differ in TCR specificity, phenotype and functional attributes. Thus, in the murine thymus, two distinct subsets of mature (CD24-) gammadelta cells have been identified, that is NK1.1+ cells, which are enriched for Vgamma1.1 usage and selectively produce IFNgamma on stimulation, and CCR6+ cells, which are enriched for Vgamma2 usage produce IL17. The upstream signals and transcriptional pathways that promote development of these distinct gammadelta subsets remain relatively poorly understood. Here, we show that the Zn-finger transcription factor ThPOK has a critical function in the development of gammadelta thymocytes. Thus, lack of functional ThPOK causes a marked reduction in the percentage and absolute number of mature gammadelta thymocytes, and a particularly severe reduction of NK1.1+ cells. Conversely, constitutive ThPOK expression leads to a striking increase in mature NK1.1+ gammadelta thymocytes. Further, we show that ThPOK induction in gammadelta thymocytes is induced by strong TCR signals mediated by engagement with antibody or high-affinity endogenous ligands, and that an important ThPOK cis-acting element, the distal regulatory element (DRE), is sufficient for this TCR-dependent induction. These results show that ThPOK expression in gammadelta thymocytes is regulated in part by the strength of TCR signalling, identify ThPOK as an important mediator of gammadelta T cell development/maturation, and lend strong support to the view that development of a significant fraction of gammadelta T cells depends on TCR engagement/signalling.
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Numerous studies have demonstrated that targeting immunogens to Fcgamma receptors (FcgammaR) on antigen (Ag)-presenting cells (APC) can enhance humoral and cellular immunity in vitro and in vivo. FcgammaR are classified based on t...
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Numerous studies have demonstrated that targeting immunogens to Fcgamma receptors (FcgammaR) on antigen (Ag)-presenting cells (APC) can enhance humoral and cellular immunity in vitro and in vivo. FcgammaR are classified based on their molecular weight, IgG-Fc binding affinities, IgG subclass binding specificity, and cellular distribution and they consist of activating and inhibitory receptors. However, despite the potential advantages of targeting Ag to FcR at mucosal sites, very little is known regarding the role of FcR in mucosal immunity or the efficacy of FcR-targeted mucosal vaccines. In addition, recent work has suggested that FcRn is present in the lungs of adult mice and humans and can transport FcRn-targeted Ag to FcgammaR-bearing APC within mucosal lymphoid tissue. In this review we will discuss the need for new vaccine strategies, the potential for FcR-targeted vaccines to fill this need, the impact of activating versus inhibitory FcgammaR on FcR-targeted vaccination, the significance of focusing on mucosal immunity, as well as caveats that could impact the use of FcR targeting as a mucosal vaccine strategy.
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Hepatocellular carcinoma (HCC) is one of the most common malignancies in the world. The biological mechanisms of hepatocarcinogenesis and progression are poorly understood. Experimental models of HCC provide valuable tools to eval...
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Hepatocellular carcinoma (HCC) is one of the most common malignancies in the world. The biological mechanisms of hepatocarcinogenesis and progression are poorly understood. Experimental models of HCC provide valuable tools to evaluate the risk factors, new treatment modalities and biologic characteristics. Under the constant evolution in model design and technology development, new experimental models continue to emerge, including spontaneous models, induced models, viral models, transplantable models, and genetically engineered models. These models are used as tools to investigate basic biological mechanisms of growth and differentiation, oncogene function, and as systems to test new diagnostic and therapeutic approaches. Each model has its own advantages and disadvantages. The progress in HCC model construction and studies are summarized in this review.
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Agonist-induced ubiquitination of the beta(2) adrenergic receptor (beta(2)AR) functions as an important post-translational modification to sort internalized receptors to the lysosomes for degradation. We now show that this ubiquit...
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Agonist-induced ubiquitination of the beta(2) adrenergic receptor (beta(2)AR) functions as an important post-translational modification to sort internalized receptors to the lysosomes for degradation. We now show that this ubiquitination is reversed by two deubiquitinating enzymes, ubiquitin-specific proteases (USPs) 20 and 33, thus, inhibiting lysosomal trafficking when concomitantly promoting receptor recycling from the late-endosomal compartments as well as resensitization of recycled receptors at the cell surface. Dissociation of constitutively bound endogenously expressed USPs 20 and 33 from the beta(2)AR immediately after agonist stimulation and reassociation on prolonged agonist treatment allows receptors to first become ubiquitinated and then deubiquitinated, thus, providing a 'trip switch' between degradative and recycling pathways at the late-endosomal compartments. Thus, USPs 20 and 33 serve as novel regulators that dictate both post-endocytic sorting as well as the intensity and extent of beta(2)AR signalling from the cell surface.
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Diabetic retinopathy is characterized by pathological retinal neovascularization. Accumulating evidence has indicated that high levels of circulating endothelial progenitor cells (EPCs) are an important risk factor for neovascular...
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Diabetic retinopathy is characterized by pathological retinal neovascularization. Accumulating evidence has indicated that high levels of circulating endothelial progenitor cells (EPCs) are an important risk factor for neovascularization. Paradoxically, the reduction and dysfunction of circulating EPCs has been extensively reported in diabetic patients. We hypothesized that EPCs are differentially altered in the various vasculopathic complications of diabetes mellitus, exhibiting distinct behaviors in terms of angiogenic response to ischemia and growth factors and potentially playing a potent role in motivating vascular precursors to induce pathological neovascularization. Circulating levels of EPCs from diabetic retinopathy patients were analyzed by flow cytometry and by counting EPC colony-forming units, and serum levels of neurotrophic factors were measured by enzyme-linked immunosorbent assay. We found increased levels of nerve growth factor and brain-derived neurotrophic factor in the blood of diabetic retinopathy patients; this increase was correlated with the levels of circulating EPCs. In addition, we demonstrated that retinal cells released neurotrophic factors under hypoxic conditions to enhance EPC activity in vitro and to increase angiogenesis in a mouse ischemic hindlimb model. These results suggest that neurotrophic factors may induce neoangiogenesis through EPC activation, leading to the pathological retinal neovascularization. Thus, we propose that neovascularization in the ischemic retina might be regulated by overexpression of neurotrophic factors.
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The osteogenic differentiation potential of umbilical cord blood-derived mesenchymal stem cells (UCB-MSCs) has been documented previously, and partially demineralized bone matrix (pDBM) represents a promising candidate for bone ti...
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The osteogenic differentiation potential of umbilical cord blood-derived mesenchymal stem cells (UCB-MSCs) has been documented previously, and partially demineralized bone matrix (pDBM) represents a promising candidate for bone tissue engineering scaffolds. In this study, pDBM scaffolds derived from porcine cancellous bone were evaluated for their ability to support human UCB-MSCs osteogenic differentiation in vitro and bone-forming capacity in vivo to assess the potential use of UCB-MSCs in bone tissue engineering applications. MSCs were isolated from full-term human UCB and expanded, and their cell surface antigen markers and multilineage capability to differentiate into osteoblasts, chondrocytes, and adipocytes were analyzed. The in vitro proliferation and osteogenic differentiation of UCB-MSCs loaded onto the three-dimensional pDBM scaffolds were determined. Critical-sized full-thickness circular defects (5 mm in diameter) created bilaterally in the parietal bones of athymic rats were treated with one of the following: osteogenically induced UCB-MSC/pDBM composites (Group A, n = 8), noninduced UCB-MSC/pDBM composites (Group B, n = 8), pDBM alone (Group C, n = 8), or left untreated (Group D, n = 8). Microcomputed tomography analysis showed that new bone was formed in Group A at 6 weeks postimplantation, and greater bone volume and density were found after 12 weeks. In other groups, new bone formation was not evident after 6 weeks, and no bone union was found at 12 weeks. Histological examination revealed that the defect was repaired by tissue-engineered bone in Group A at 12 weeks, and fibrous union was observed in Groups B, C, and D. These results demonstrate that pDBM can support osteogenic differentiation of human UCB-MSCs in vitro and in vivo, and UCB-MSCs may serve as an alternative cell source for bone tissue engineering and regeneration.
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