Gene molecular study of biofilm of Staphylococcus aureus isolated from fresh milk using multiplex polymerase chain reaction

Background: Staphylococcus aureus is one of the main causes of food poisoning in the world. This pathogen has the ability to create biofilms that can lead to food contamination. The presence of biofilm genes in bacteria is very important. The aim of this study was to identify sticky genes (eno, cna, ebp, bbp) that play an important role in virulence and pathogenicity of the bacteria and even prevent the penetration of antibiotics in pathogenicity time. Materials and Methods: A total of 100 samples of fresh milk were collected from live animals and 60 isolates were selected to identify sticky genes (eno, cna, ebp, bbp) in the production of biofilm of S. aureus using the multiplex polymerase chain reaction method. In addition, the frequency rates of S. aureus strains resistant and susceptible to antibiotics such as methicillin, vancomycin, and clindamycin were determined among the samples. Results: From a total of 60 isolates of fresh milk, 43.4 of the colonies had laminin-binding protein gene or eno gene. Also, 90 of the isolates were sensitive to vancomycin, 50 sensitive to clindamycin and 43.4 sensitive to methicillin. Distribution rates of other sticky genes including ebp, cna, bbp were 11.6, 20 and 25, respectively. Molecular study results showed that the highest and lowest percentages of genes were related to the eno and bbp genes, respectively. Conclusion: The present study shows that the maximum sensitivity of the samples (90) was related to vancomycin and the least amount of sensitivity (43.3) was related to methicillin

Cross-Platform Comparison of Untargeted and Targeted Lipidomics Approaches on Aging Mouse Plasma.

Lipidomics - the global assessment of lipids - can be performed using a variety of mass spectrometry (MS)-based approaches. However, choosing the optimal approach in terms of lipid coverage, robustness and throughput can be a challenging task. Here, we compare a novel targeted quantitative lipidomics platform known as the Lipidyzer to a conventional untargeted liquid chromatography (LC)-MS approach. We find that both platforms are efficient in profiling more than 300 lipids across 11 lipid classes in mouse plasma with precision and accuracy below 20% for most lipids. While the untargeted and targeted platforms detect similar numbers of lipids, the former identifies a broader range of lipid classes and can unambiguously identify all three fatty acids in triacylglycerols (TAG). Quantitative measurements from both approaches exhibit a median correlation coefficient (r) of 0.99 using a dilution series of deuterated internal standards and 0.71 using endogenous plasma lipids in the context of aging. Application of both platforms to plasma from aging mouse reveals similar changes in total lipid levels across all major lipid classes and in specific lipid species. Interestingly, TAG is the lipid class that exhibits the most changes with age, suggesting that TAG metabolism is particularly sensitive to the aging process in mice. Collectively, our data show that the Lipidyzer platform provides comprehensive profiling of the most prevalent lipids in plasma in a simple and automated manner

Network inference using asynchronously updated kinetic Ising Model

Network structures are reconstructed from dynamical data by respectively naive mean field (nMF) and Thouless-Anderson-Palmer (TAP) approximations. For TAP approximation, we use two methods to reconstruct the network: a) iteration method; b) casting the inference formula to a set of cubic equations and solving it directly. We investigate inference of the asymmetric Sherrington- Kirkpatrick (S-K) model using asynchronous update. The solutions of the sets cubic equation depend of temperature T in the S-K model, and a critical temperature Tc is found around 2.1. For T < Tc, the solutions of the cubic equation sets are composed of 1 real root and two conjugate complex roots while for T > Tc there are three real roots. The iteration method is convergent only if the cubic equations have three real solutions. The two methods give same results when the iteration method is convergent. Compared to nMF, TAP is somewhat better at low temperatures, but approaches the same performance as temperature increase. Both methods behave better for longer data length, but for improvement arises, TAP is well pronounced.Comment: 6 pages, 4 figure

Kaluza–Klein gluon + jets associated production at the Large Hadron Collider

AbstractThe Kaluza–Klein excitations of gluons offer the exciting possibility of probing bulk Randall–Sundrum (RS) models. In these bulk models either a custodial symmetry or a deformation of the metric away from AdS is invoked in order to deal with electroweak precision tests. Addressing both these models, we suggest a new channel in which to study the production of KK-gluons (gKK): one where it is produced in association with one or more hard jets. The cross-section for the gKK + jets channel is significant because of several contributing sub-processes. In particular, the 1-jet and the 2-jet associated processes are important because at these orders in QCD the qg and the gg initial states respectively come into play. We have performed a hadron-level simulation of the signal and present strategies to effectively extract the signal from what could potentially be a huge background. We present results for the kinematic reach of the LHC Run-II for different gKK masses in bulk-RS models

Anomaly mediated SUSY breaking scenarios in the light of cosmology and in the dark (matter)

Anomaly mediation is a popular and well motivated supersymmetry breaking scenario. Different possible detailed realisations of this set-up are studied and actively searched for at colliders. Apart from limits coming from flavour, low energy physics and direct collider searches, these models are usually constrained by the requirement of reproducing the observations on dark matter density in the universe. We reanalyse these bounds and in particular we focus on the dark matter bounds both considering the standard cosmological model and alternative cosmological scenarios. These scenarios do not change the observable cosmology but relic dark matter density bounds strongly depend on them. We consider few benchmark points excluded by standard cosmology dark matter bounds and suggest that loosening the dark matter constraints is necessary in order to avoid a too strong (cosmological) model dependence in the limits that are obtained for these models. We also discuss briefly the implications for phenomenology and in particular at the Large Hadron Collider.Comment: 37 pages, 20 figures, 1 tabl

Physiological responses of native Tunisian grapevines and some rootstocks to direct iron deficiency

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WRAP53 promotes cancer cell survival and is a potential target for cancer therapy

We previously identified WRAP53 as an antisense transcript that regulates the p53 tumor suppressor. The WRAP53 gene also encodes a protein essential for Cajal body formation and involved in cellular trafficking of the survival of motor neuron complex, the telomerase enzyme and small Cajal body-specific RNAs to Cajal bodies. Here, we show that the WRAP53 protein is overexpressed in a variety of cancer cell lines of different origin and that WRAP53 overexpression promotes cellular transformation. Knockdown of the WRAP53 protein triggers massive apoptosis through the mitochondrial pathway, as demonstrated by Bax/Bak activation, loss of mitochondrial membrane potential and cytochrome c release. The apoptosis induced by WRAP53 knockdown could moreover be blocked by Bcl-2 overexpression. Interestingly, human tumor cells are more sensitive to WRAP53 depletion as compared with normal human cells indicating that cancer cells in particular depends on WRAP53 expression for their survival. In agreement with this, we found that high levels of WRAP53 correlate with poor prognosis of head and neck cancer. Together these observations propose a role of WRAP53 in carcinogenesis and identify WRAP53 as a novel molecular target for a large fraction of malignancies