Figure 1

Model and Network DEG Comparison Workflow. Previously published microarray datasets were reanalysed using ChipInspector to identify DEGs at various time points from murine models of type 1 diabetes (STZ), type 2 diabetes (db/db and ob/ob), and human patients. DEG datasets from all murine models were generated by comparing diabetic to healthy control mice. The human samples were grouped into progressive and non-progressive groups to determine the DEG dataset used. All DEG datasets were compared in order to find the DEGs shared across models and stages of DPN. These shared DEGs were analysed using IPA to identify possible disrupted signalling pathways. Seven pairwise comparisons were performed to determine the shared networks between each murine dataset with our human dataset. These DEGs were then analysed using IPA to identify possible disrupted signalling pathways.