Conwaybanke3402

BACKGROUND mRNA interaction with other mRNAs and other signaling molecules determine different biological pathways and functions. Gene co-expression network analysis methods have been widely used to identify correlation patterns between genes in various biological contexts (e.g., cancer, mouse genetics, yeast genetics). A challenge remains to identify an optimal partition of the networks where the individual modules (clusters) are neither too small to make any general inferences, nor too large to be biologically interpretable. Clustering thresholds for identification of modules are not systematically determined and depend on user-settable parameters requiring optimization. The absence of systematic threshold determination may result in suboptimal module identification and a large number of unassigned features. RESULTS In this study, we propose a new pipeline to perform gene co-expression network analysis. The proposed pipeline employs WGCNA, a software widely used to perform different aspects of gene co-expression network analysis, and Modularity Maximization algorithm, to analyze novel RNA-Seq data to understand the effects of low-dose 56Fe ion irradiation on the formation of hepatocellular carcinoma in mice. The network results, along with experimental validation, show that using WGCNA combined with Modularity Maximization, provides a more biologically interpretable network in our dataset, than that obtainable using WGCNA alone. The proposed pipeline showed better performance than the existing clustering algorithm in WGCNA, and identified a module that was biologically validated by a mitochondrial complex I assay. CONCLUSIONS We present a pipeline that can reduce the problem of parameter selection that occurs with the existing algorithm in WGCNA, for applicable RNA-Seq datasets. This may assist in the future discovery of novel mRNA interactions, and elucidation of their potential downstream molecular effects.The authors have retracted this original article [1] because a number of the figures exhibit irregularities.BACKGROUND In clinical practice, the laryngeal mask airway is an easy-to-use supraglottic airway device. However, the cis-atracurium dosage for laryngeal mask insertion has not been standardised. We aimed to determine the optimal dose of cis-atracurium using a sequential method for successful laryngeal mask insertion. METHODS The cohort study protocol is registered at clinicaltrial.gov (NCT-03668262). Twenty-three patients undergoing elective urinary surgery were sequentially administered cis-atracurium doses as follows 150, 100, 70, 50, 30, and 20 μg·kg- 1. The main outcome involved the determination of the response to laryngeal mask airway insertion ≥16 points and  less then  16 points indicated "satisfactory" and "unsatisfactory" responses, respectively. The median effective dose was estimated using the mean of the seven crossovers from "satisfactory" and "unsatisfactory" responses. The primary outcome involved the determination of the median effective dose (ED50) of cis-atracurium for laryngeal mask airway insertion. RESULTS The median effective dose of cis-atracurium was 26.5 μg·kg- 1 (95% CI 23.6-29.8) using the sequential method. Heart rate was decreased in the 50 μg·kg- 1 group compared to that in the 30 μg·kg- 1 group at timepoints T7, T8, and T10 (P = 0.0482, P = 0.0460, and P = 0.0236, respectively), but no difference was observed in the 20 μg·kg- 1 group. Systolic blood pressure was decreased in the 50 μg·kg- 1 group compared to that in the 20 μg·kg- 1 group at timepoints T2, T3, and T4 (P = 0.0159, P = 0.0233, and P = 0.0428, respectively). The train-of-four value was significantly lower in the 50 μg·kg- 1 group than in the 30 μg·kg- 1 group at timepoint T3 (P = 0.0326). CONCLUSIONS The ED50 of cis-atracurium was 26.5 μg·kg- 1 for laryngeal mask airway insertion. TRIAL REGISTRATION Clinicaltrial.gov Registry, NCT03668262, Registered on 11 September 2018.BACKGROUND Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction method based on gradient interval histogram (GIH) is proposed in this paper. check details RESULTS First, GIH equalization is proposed to enhance the protein spot edges, especially the weak protein spots in the 2DE image. Second, to eliminate the overall brightness shift, GIH matching is applied to the 2DE images that need to be compared. Finally, the proposed method is verified by subjective quality evaluation and quantitative analysis of protein spots in real 2DE images. CONCLUSIONS The experimental results show that the average error of the quantification of corresponding protein spots in the resulting image pairs is less than 3%, which is significantly superior to that of the existing methods.BACKGROUND The Nigeria Demographic and Health Survey (NDHS) of 2008 show that Ondo State had the worst maternal outcomes in the South Western region of Nigeria. To address this problem, the "Abiye" (safe motherhood) programme-which included community engagement, health system strengthening and user fee removal- was implemented by the state government. We assessed the use of maternal health care services and its determinants at 5 years after the implementation of this programme using a population-based survey. We also compared the results of our survey to the NDHS 2013 to assess improvement in maternal health care services utilisation. METHODS We conducted a population-based survey in 2016 among representative sample of 409 women who had given birth between 2011 and 2015, which were selected using cluster random sampling. We compared the findings of this 2016 survey to the 2013 NDHS, which contains maternal health care services utilisation information of a total of 434 women who gave birth between 2009 and 201f this study suggest that with community engagement, health system strengthening and user fee removal for the most vulnerable, universal access to and utilisation of maternal health services is possible.