order AGI-5198 br Data Whole blood leukocyte distribution

Data Whole blood leukocyte distribution and plasma level of inflammatory proteins were evaluated for association with cholesterol level and CRP. Data includes correlations between leukocyte subpopulations, cholesterol and CRP in FH children and healthy children combined (Table 1, and Figs. 2 and 3), and comparison of leukocyte distribution in FH children and healthy children less than 13 years of age (Table 2 and Fig. 1).
Experimental design, materials and methods Data are from cross-sectional study in FH children and healthy children, thoroughly explained elsewhere [1]. Briefly, we recruited children with a definite diagnosis of order AGI-5198 FH from the Lipid Clinic, Oslo University Hospital Rikshospitalet, Oslo, Norway. Control children without FH, herein referred to as “Healthy children”, were recruited in the same time period. For all children, we collected the following: 4mL heparin plasma for measurement of CRP and lipids, 4mL EDTA whole blood for characterization of leukocyte subpopulations, and 5mL serum for analysis of inflammation markers. CRP and lipids were measured using highly standardized protocols at the Department of Medical Biochemistry at Rikshospitalet [1], Oslo, whereas B- and T-cell subpopulations and monocyte subpopulations were analyzed by flow cytometry at the Department of Immunology at Rikshospitalet, Oslo, as described previously [1]. For CRP, lipids and flow cytometry, analyses were performed on the same day as sampling. Serum samples were processed and stored at −80°C until study completion, followed by measurements of concentration of cluster of differentiation (CD) 163, CD14 and CD25 using enzyme immunoassays from R&D Systems (Minneapolis, MN). Statistical analyses were performed similarly as in [1]. Briefly, the data are presented as mean (standard deviation) or median (25th–75th percentile). Whereas independent samples t-test was used for parametric data, we log-transformed the variables and used independent samples t-test for non-parametric data. Because of skewed distributions, we report Spearman׳s rank correlation coefficient in the correlation analyses. Alpha level of significance was set to 5%, and SPSS (v22.0, IBM) was used for all calculations.
Acknowledgements
Data In the data, Figs. 1 and 2 show base compositions and conserved site percentages of tits, respectively. Fig. 3 is the result of heterogeneity. Fig. 4 shows gene trees and a species tree. Table 1 describes the taxonomic samples. Table 2 lists the primer sequences. Table 3 is the P-distance based on mitochondrial dataset. Table 4 shows the best schemes.
Experimental design, materials and methods This study sampled 13 individuals of tits by using Sylviparus modestus and Remiz consobrinus as outgroups. Each gene was aligned in Muscle [3] independently. The mitochondrial characteristics, including A+T contents, conserved site percentages and P-distances, were analyzed by using MEGA 4.1 [2], and the results can be found in Figs. 1 and 2 and Table 3, respectively. Four datasets, A: the first and second sites of protein-coding genes, B: protein-coding genes with the third sites not employing RY-coding method, C: 37 mitochondrial genes with the third sites of protein-coding genes not using RY-coding method plus one control region, D: five nuclear segments, were used to analyze the heterogeneity in AliGROOVE [5], and the results can be found in Fig. 3. The best schemes were analyzed by using Partitionfinder v1.1.1 [4], and the results were in Table 4. The gene trees in Fig. 4 were constructed by using RAxML 7.0.3 [6], employing 1000 replications, and these results were used to construct a species tree by using ASTRAL [7].
Experimental design, materials and methods
Acknowledgment We wish to thank the Russian Foundation for Basic Research (research Project no. 16-54-76009) and the ERA.Net RUS Plus Group of Funding Parties (ID230) for financial support.