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Differential gene expression analysis among study groups were performed using WGE-DASL® Assay following manual instructions (Illumina Inc., USA).
Differential expression analysis (DE) between groups was performed using DESeq [ 37].
Differential expression analysis of two groups was performed using the DEGseq R package (1.10.1) [ 56].
Comparisons among the groups were statistically processed by nonparametric Kruskal-Wallis (ANOVA), followed by Dunn's post hoc analysis.
Among the total 206 differential spots obtained 163 spots which fell under the previously described three categories were processed for downstream MALDI-TOF MS and MS/MS analysis.
After normalization, differential gene expression between groups was assessed by Significance Analysis of Microarrays (SAM) [ 33].
Genes with differential expression in these groups were identified followed by pathway analysis.
Our finding of the differential prevalence of diabetes among SES groups is also consistent with the literature [ 44].
Significant differential genes among the three groups were filtered by ANOVA and corrected by the random variance model (RVM [ 8].
To assign GO terms, molecular function and biological process, and KEGG pathway analysis of DEGs among all three groups were performed using ToppGene Suite (http://toppgene.cchmc.org)20.
Among those sample residents, therefore, some changed jobs, while others did not, which is not the same as differential analysis in job-seeking process studies that focus on the crowd as samples of job changing.
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