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1.
Gastric adenocarcinoma is usually diagnosed in late stages, necessitating the use of different therapeutic modalities. Currently, antibody-based therapies have also been approved through with limited clinical efficacy. Reinforcing antibody-based immunotherapy by using chimeric antigen receptor (CAR) T cells may enhance the approach. However, the cells can cause severe on-target and off-tumor toxicities owing to their higher sensitivity to low-level antigen expressions. To address the need for safe and reliable targets, we made a bioinformatics pipeline by which we screened overexpressed genes in the disease for off-tumor sites in many normal tissues. Our inspection showed that MSLN (Mesothelin), ANTXR1 (TEM8), and MUC3A are the probable targets of CAR T cell therapy in gastric adenocarcinoma. The proposed antigenic targets might respond to the need to simultaneously target multiple antigens in a tumor matrix to prevent resistance.  相似文献   
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Plant-based methods such as rhizodegradation are very promising for the remediation of petroleum-contaminated soils. Associations of plants with endophytes can further enhance their phytoremediation potential. In this study, a rhizobox experiment was conducted to investigate whether inoculation with the root-colonizing fungus Piriformospora indica could further enhance the degradation of petroleum hydrocarbons in the root zone of maize (Zea mays L.). The rhizoboxes were subdivided into compartments in accordance with distance from the plants. After filling the boxes with soil from a petroleum-contaminated site, seedlings that had either been inoculated with P. indica or not were grown in the middle compartments of the rhizoboxes and grown for 64 days. A plant-free treatment was included for control. The presence of roots strongly increased the counts of total and petroleum-degrading soil bacteria, respiration, dehydrogenase activity, water-soluble phenols and petroleum degradation. All these effects were also found in the soil adjacent to the middle compartments of the rhizoboxes, but strongly decreased further away from it. Inoculation with P. indica further enhanced all the recorded parameters without changing the spatial pattern of the effects. Inoculated plants also produced around 40% more root and shoot biomass than noninoculated plants and had greener leaves. Together, the results indicate that the treatment effects on the recorded soil microbial and biochemical parameters including petroleum hydrocarbon degradation were primarily due to increased root exudation. Irrespectively of this, they show that maize can be used to accelerate the rhizodegradation of petroleum hydrocarbons in soil and that inoculation with P. indica can substantially enhance the phytoremediation performance of maize.  相似文献   
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There is a strong interest in understanding how coral calcification varies with changing environmental conditions, especially given the projected changes in temperature and aragonite saturation due to climate change. This study explores in situ variation in calcification rates of Acropora downingi in the northeastern Persian Gulf relative to seasonal changes in temperature, irradiance and aragonite saturation state (Ω arag). Calcification rates of A. downingi were highest in the spring and lowest in the winter, and intra-annual variation in calcification rate was significantly related to temperature (r 2 = 0.30) and irradiance (r 2 = 0.36), but not Ω arag (r 2 = 0.02). Seasonal differences in temperature are obviously confounded by differences in other environmental conditions and vice versa. Therefore, we used published relationships from experimental studies to establish which environmental parameter(s) (temperature, irradiance, and/or Ω arag) placed greatest constraints on calcification rate (relative to the maximum spring rate) in each season. Variation in calcification rates was largely attributable to seasonal changes in irradiance and temperature (possibly ~57.4 and 39.7% respectively). Therefore, we predict that ocean warming may lead to increased rates of calcification during winter, but decelerate calcification during spring, fall and especially summer, resulting in net deceleration of calcification for A. downingi in the Persian Gulf.

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Molecular Biology Reports - The increase in fibronectin type-III domain-containing protein 5 (FNDC5), myonectin, and glucose transporter 4 (GLUT4) leads to a decrease in diabetes; meanwhile,...  相似文献   
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Epidermal growth factor receptor (EGFR) is one of the major molecular targets for cancer diagnosis and therapy. EGFR and EGFRvIII, mutated form of EGFR, have been identified as participating in pathogenesis of some forms of human cancers. Monoclonal antibodies (mAbs) targeting EGFR/EGFRvIII have been shown to suppress the signal transduction pathways controlling tumor cell growth, proliferation, and apoptosis. Until now, different types of mAbs or antibody fragments against EGFR family have been established. Some of these antibodies have been used clinically for treating various forms of human malignancies. More recently, a single domain antibody (sdAb) targeting this family of receptors has been introduced. The heavy chain antibodies (HCAbs) that made up variable regions of heavy chain, CH2, and CH3 domains are shown in camelids. SdAbs derived from camel HCAbs are the smallest known natural building parts for binding to antigen. They also possess a longer antigen recognizing region, which increases their capability for being more specific in target antigen enhancement. Camelid antibodies are highly valuable for their special characteristics, including heat resistance, small size, high solubility in an aqueous environment, and non-immunogenicity in a human environment. Due to these abilities, research on biotechnological production and treatment applications of recombinant smaller fragments of these only HCAbs is widely in progress. In this article, we will discuss the challenges and successes of different types of mAbs targeting EGFR/EGFRvIII in human cancer.  相似文献   
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To investigate the effects of single and mixed cultures of maize and canola, green manure addition, and distance from the rhizosphere on chemical forms of soil lead (Pb) and its uptake by plants, a greenhouse experiment was conducted using rhizobox systems. After plant harvest, the soils from different parts of the rhizoboxes were sampled and analyzed for dissolved organic carbon (DOC) concentrations and pH values. A sequential extraction procedure was also carried out to differentiate the chemical forms of Pb in the soil samples. Results showed that root activity significantly affected soil DOC concentration, pH and Pb chemical forms, while the effects generally ceased from the rhizosphere through the bulk soil. The pH value increased and DOC concentration decreased with distance from the roots. Green manure addition enhanced DOC concentration and exchangeable, carbonate-associated, and organic matter-bound Pb fractions. Green manure addition reduced the Pb concentration and uptake of maize but increased those of canola. The concentration of Pb in the roots of maize and canola was increased in intercropping compared with monocropping systems. The conclusion is that chemistry and bioavailability of soil Pb are interactively influenced by overlapped rhizospheres as compared to individual rhizospheres, use of green manure, and distance from the root surfaces.  相似文献   
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Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this paper is to develop a risk advisor model to predict the chances of diabetes complications according to the changes in risk factors. As the starting point, an inclusive list of (k) diabetes complications and (n) their correlated predisposing factors are derived from the existing endocrinology text books. A type of data meta-analysis has been done to extract and combine the numeric value of the relationships between these two. The whole n (risk factors) - k (complications) model was broken down into k different (n-1) relationships and these (n-1) dependencies were broken into n (1-1) models. Applying regression analysis (seven patterns) and artificial neural networks (ANN), we created models to show the (1-1) correspondence between factors and complications. Then all 1-1 models related to an individual complication were integrated using the naïve Bayes theorem. Finally, a Bayesian belief network was developed to show the influence of all risk factors and complications on each other. We assessed the predictive power of the 1-1 models by R2, F-ratio and adjusted R2 equations; sensitivity, specificity and positive predictive value were calculated to evaluate the final model using real patient data. The results suggest that the best fitted regression models outperform the predictive ability of an ANN model, as well as six other regression patterns for all 1-1 models.  相似文献   
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