Cutting Edge: Differential Regulation of Chemoattractant Receptor-Induced Degranulation and Chemokine Production by Receptor Phosphorylation

Phosphorylation of G protein-coupled receptors and the subsequent recruitment of β-arrestin play an important role in desensitization of receptor-mediated responses, including degranulation in leukocytes. In this study, we report that receptor phosphorylation also provides a stimulatory signal for CCR ligand 2 (CCL2) production. C3a stimulated degranulation in a basophilic leukemia RBL-2H3 cell expressing wildtype C3aR or a phosphorylation-deficient mutant (ΔST-C3aR). In contrast, C3a caused CCL2 production only in C3aR but not eΔST-C3aR cells. Furthermore, overexpression of G protein-coupled receptor kinase 2 resulted in enhancement of both ligand-induced receptor phosphorylation and CCL2 production but inhibition of degranulation. Agonist activation of C3aR, but not ΔST-C3aR, led to the translocation of green fluorescent protein tagged β-arrestin 2 from the cytoplasm to the plasma membrane. These data demonstrate that receptor phosphorylation, which provides a turn off signal for degranulation, is essential for CCL2 production

Management of root-knot disease of pointed gourd through the application of nematicides and different organic amendments

A field experiment was conducted at Regional Agricultural Research Station, Bangladesh Agricultural Research Institute (BARI), Ishwardi, Pabna during 2013-14 to find out an effective integrated management package for controlling root knot nematode, Meloidogyne incognita of pointed gourd. The following treatments were T1 = Spore suspension of T. harzanium added to around the roots of seedling, T2 = Dry neem leaves @100 g seedling-1, T3 = Furadan 5G @ 40 kg ha-1, T4 = Poultry litter @ 5 t ha-1, T5 = Mustard oil cake @ 800 kg ha-1, T6 = Furadan 5G + Dry neem leaves, T7 = Furadan 5G + Poultry litter, T8 = Furadan 5G + Mustard oil cake and T9 = Control were tested for their performance against the disease. Gall index ranged from 3.33-7.67. Significantly lower gall index (3.33) was recorded in treatment T7= Furadan 5G + Poultry litter and maximum gall index (7.67) was recorded in treatment T9= Control plot. The highest yield (24.97 t ha-1) was recorded in Furadan 5G + Poultry litter treated plot where are the lowest yield (7.53 t ha-1) was in Control plot. The incorporation of Poultry litter with Furadan 5G increased the efficiency of the treatment and gave satisfactory result to reduce root knot disease and to improve plant growth and yield of pointed gourd. Int. J. Agril. Res. Innov. Tech. 9(2): 51-56, December 201

Crystal structure of 3-(morpholin-4-yl)-1-phenyl-3-(pyridin-2-yl)propan-1-one

Acknowledgements FMMA acknowledges the PG and Research Department of Chemistry and the Management of Jamal Mohamed College (Autonomous) for their kind support.Peer reviewedPublisher PD

A Two Phase Interleaved Boost Single Stage PFC Converter using Flying Capacitor

The equipment connected to an electricity distribution network customarily needs rectification. In order to decrease DC voltage ripple, a Single phase diode rectifier utilizes a large electrolytic capacitor which yields a non-sinusoidal line current. So power factor correction (PFC) techniques are required. The boost topology is utmostwidespread than others in PFC applications. Thus a two phase interleaved boost single-stage PFC converter using flying capacitor is proposed in this paper. Due to its interleaved structure, the proposed converter can operate with reduced input current ripple and peak switch currents.The proposed system is simulated in MATLAB/SIMULINK and the performance parameters such as power factor (PF) and total harmonic distortion (THD) are computed

Morphological characterization and genetic diversity in lentil (Lens culinaris medikus ssp. Culinaris) germplasm

Genetic divergence of 110 lentil germplasm with checks was assessed based on morphological traits using multivariate analysis. Mahalanobis generalized distance (D2) analysis was used to group the lentil genotypes. Significant variations among lentil genotypes were observed in respect of days to 1st flowering, days to 50% flowering, days to maturity, plant height, and number of pods per peduncle, number of pods per plant, number of seeds per plant, 100 seed weight and yield per plant. Considering the mean values, the germplasm were grouped into ten clusters. The highest number of genotypes (17) was in cluster X and lowest (5) both in cluster II and IV. Cluster IV had the highest cluster mean for number of pods per plant (297.08), number of seeds per plant (594.16), 100 seed weight (1.44 g) and yield per plant (8.53 g). Among them, the highest inter-cluster distance was obtained between the cluster IV and I (24.61) followed by IV and III (22.33), while the lowest was between IX and II (1.63). The maximum value of inter-cluster distance indicated that genotypes belonging to cluster IV were far diverged from those of cluster I. The first female flower initiation was earlier in BD-3812 (49 days) in cluster I and cluster IV had highest grain yield per plant (8.53). BD-3807 produced significant maximum number of pods per plant (298.40) in cluster IV. DOI: http://dx.doi.org/10.3329/ijarit.v4i1.21095 Int. J. Agril. Res. Innov. & Tech. 4 (1): 70-76, June, 201

CDPS-IoT: Cardiovascular Disease Prediction System Based on IoT using Machine Learning

Internet of Things, Machine learning, and Cloud computing are the emerging domains of information communication and technology. These techniques can help to save the life of millions in the medical assisted environment and can be utilized in health-care system where health expertise is less available. Fast food consumption increased from the past few decades, which makes up cholesterol, diabetes, and many more problems that affect the heart and other organs of the body. Changing lifestyle is another parameter that results in health issues including cardio-vascular diseases. Affirming to the World Health Organization, the cardiovascular diseases, or heart diseases lead to more death than any other disease globally. The objective of this research is to analyze the available data pertaining to cardiovascular diseases for prediction of heart diseases at an earlier stage to prevent it from occurring. The dataset of heart disease patients was taken from Jammu and Kashmir, India and stored over the cloud. Stored data is then pre-processed and further analyzed using machine learning techniques for the prediction of heart diseases. The analysis of the dataset using numerous machines learning techniques like Random Forest, Decision Tree, Naive based, K-nearest neighbors, and Support Vector Machine revealed the performance metrics (F1 Score, Precision and Recall) for all the techniques which shows that Naive Bayes is better without parameter tuning while Random Forest algorithm proved as the best technique with hyperparameter tuning. In this paper, the proposed model is developed in such a systematic way that the clinical data can be obtained through the use of IoT with the help of available medical sensors to predict cardiovascular diseases on a real-time basis

Green facile synthesis of Ag-doped ZnO nanoparticles from Gymnema sylvestre leaf extract and investigation of their Antibacterial activity

The unique characteristics of the green synthesis pathway have opened the way for a new field of scientific investigation. The current study used green chemistry methodologies to produce pure zinc oxide (ZnO) (G1) and silver doped zinc oxide (Ag doped ZnO) (G2) nanoparticles (NPs) using Gymnema sylvestre (G. sylvestre) leaf extract as a reducing as well as capping agent. XRD, FESEM, EDAX, and FT-IR investigations were used to investigate the structural characterization of G1 and G2 NPs. The UV–Vis and PL analyses were used to examine the optical characteristics. The results clearly reveal that the leaf extract is the best possible stabilizing agent for the manufacture of G1 and G2 NPs, and that the generated nanoparticles operate as potent microbial agents, inhibiting the growth of a variety of dangerous microbes. Due to their eco–friendly and non–toxic compatibility, the prepared G1 and G2 NPs can be employed for therapeutic and other purposes

Elevated Tumor Lactate and Efflux in High-grade Prostate Cancer demonstrated by Hyperpolarized 13C Magnetic Resonance Spectroscopy of Prostate Tissue Slice Cultures.

Non-invasive assessment of the biological aggressiveness of prostate cancer (PCa) is needed for men with localized disease. Hyperpolarized (HP) 13C magnetic resonance (MR) spectroscopy is a powerful approach to image metabolism, specifically the conversion of HP [1-13C]pyruvate to [1-13C]lactate, catalyzed by lactate dehydrogenase (LDH). Significant increase in tumor lactate was measured in high-grade PCa relative to benign and low-grade cancer, suggesting that HP 13C MR could distinguish low-risk (Gleason score ≤3 + 4) from high-risk (Gleason score ≥4 + 3) PCa. To test this and the ability of HP 13C MR to detect these metabolic changes, we cultured prostate tissues in an MR-compatible bioreactor under continuous perfusion. 31P spectra demonstrated good viability and dynamic HP 13C-pyruvate MR demonstrated that high-grade PCa had significantly increased lactate efflux compared to low-grade PCa and benign prostate tissue. These metabolic differences are attributed to significantly increased LDHA expression and LDH activity, as well as significantly increased monocarboxylate transporter 4 (MCT4) expression in high- versus low- grade PCa. Moreover, lactate efflux, LDH activity, and MCT4 expression were not different between low-grade PCa and benign prostate tissues, indicating that these metabolic alterations are specific for high-grade disease. These distinctive metabolic alterations can be used to differentiate high-grade PCa from low-grade PCa and benign prostate tissues using clinically translatable HP [1-13C]pyruvate MR