Figure 2

Whole transcriptome analysis of mesenchymal stem cells (MSCs) of different tissue origins. (a) Principle Component Analysis using RNA-seq data. Gene expression levels of MSCs were quantified. Each dot represents the gene expression profile of a biological replicate. (b) Pearson correlation of RNA-seq data. (c) Dendrogram from unsupervised clustering using RNA-seq data. The height indicates the distance between clusters. (d) Clustering using an Iterative Clustering and Guide-gene Selection algorithm. The Y-axis indicates sets of genes that were dynamically expressed among cells. (e) Pathway analysis of the differentially expressed genes (DEGs) using Ingenuity Pathway Analysis (IPA) software. The genes in each cluster that were dynamically regulated among the mesenchymal stem cells (MSCs) were analysed. Top five canonical pathways identified are shown.