Differential expression analyses in endothelial cells from APP/Psen1 mouse model. Differential expression analyses in endothelial cells from APP/Psen1 mouse model

Endothelial cells were isolated by flow cytometry using a specific marker (CD31) and their global gene expression profile was analyzed. CD11b marker was contraselected. This data were used to study molecular mechanisms implicated in endothelial cells from App/Psen1 mouse model. In this dataset, we include the expression data obtained in endothelial cells from APP/Psen1 (18 month-old) mouse model using a specific marker for this cell type (CD31+). Functional enrichment analyses were carried out through GSEA, where we have included specific categories potentially involved with blood vessel formation. Overall design: 6 Total samples were analyzed with 3 biological replicates in each condition (App/Psen1 and control mice). We generated the following comparison: App/Psen1 vs Control. Data were normalized by using rma algorithm (robust multiarray average) and the normalized matrix that we obtained with this analyses was used such input in the GSEA tool.