br Experimental design materials and methods br Acknowledgem

Experimental design, materials and methods
Acknowledgements This research was supported by the Knut & Alice Wallenberg Foundation via the Wallenberg Wood Science Center, the Swedish Research Council Formas via CarboMat, and the European Research Council through Grant 336355 (“MicroDE”). The authors are grateful to Morten Skaugen and Magnus Ø. Arntzen of NMBU for helpful discussions on troubleshooting and sample clean-up prior to proteomic analysis.
Data
Experimental design, materials and methods
Acknowledgements This project has been funded by a grant from the Novo Nordisk Foundation and the Lundbeck Foundation. I.K. is supported by grants from the Danish Natural Science Research Council and the Danish Medical Research Council.
Data Fig. 1 shows the SDS-PAGE image of the expression and the solubility trial of the AIMP2-DX2 protein with a SUMO-tag in various E. coli cell lines. The E. coli auda were expressed at 37°C and 18°C with 1mM IPTG. These cells were harvested, lysed and separated as pellet and supernatant before subjecting to SDS-PAGE. The variation in the solubility of SUMO-DX2 at different temperature and cell lines is easily comparable with relative protein band intensity. Fig. 2 shows the SDS-PAGE image comparing the improvement in the stability of the SUMO-tagged AIMP2-DX2 between the optimized and unoptimized buffer conditions. The protective effect of 500mM NaCl and 10mM EDTA has been shown here for two critical processes, dialysis and SUMO-tag cleavage, during the purification of AIMP2-DX2.
Experimental design, materials and methods
Data
Experimental design, materials and methods The sample size is calculated based on survey sample size calculator. A sample of 224 respondents has been estimated based on four attributes. First, the population size of Alexandria estimated as 4,546,231 in 2014. Second, a confidence level of 95 percent is conducted. Third, confidence interval, or precision, estimated to be 6.55, and last, an average distribution of the responses of 50 percent to the different questions of the survey [2,3,6,8]. The stratified random sampling method was conducted to ensure the representation of the wide spectrum of the population [1, 5]. Three different stages are used to sub-group the population. Stage one subdivided the sample according to the weight of the inhabitants of each district of Alexandria. Similarly, stage two subdivided the sample of each district in proportion to the weight of population in each selected, most populated, Sheykhat. These two steps ensure the representation of sample according to the geographical distribution of the population. In stage three, the stratified random sample subdivided the population into strata according to four variables, age, gender, car ownership, and estimated housing price to ensure the representation of the different socioeconomic groups [7]. For instance, females represent 48.9 percent of the total population in Egypt. 60.2 percent of the population is under the age of 30 years while 27.7 percent is at the age of 21–35, 11.6 percent is between the age 36–45, last, 20.1 percent is either 46 years or above [9]. On the other hand, it was essential for this research to consider the representation of the strata according to car ownership per household and the estimated owning/rental price of dwellings to include various socioeconomic classes.
Data We recently solved the crystal structures of periaxin and gliomedin [1,2], and the native crystal data were submitted to the PDB. Here, we include all original unpublished native and derivative datasets used for experimental phasing of the crystal structures, as well as Supplementary datasets with different levels of anomalous signal. The crystallographic data are in Supplementary material, in the output format of the XDS data processing program [3], as this data format allows a variety of further workflows in different software, either directly or after format conversion. In addition, a table of all data processing statistics is given, as are graphs indicating the level and quality of the anomalous signal and diffraction intensity in the different datasets.