“…To show that PulmonDB can be used to recapitulate previously reported knowledge regarding COPD and IPF biology, we performed a literature search and manually selected relevant genes for each disease. We selected 19 genes related to IPF (not necessarily associated with gene expression in lung tissues) to visualize their gene expression: CCL18 [18] , CXCL12 [19] , CXCL13 [20] , collagens (COL1A1, COL1A2, COL3A1, COL5A2, COL14A1) [21] , DSP [22] , FAS [23] , IL-8 [24] , MMP1 [25] , MMP2 [26] , MMP7 [25] , MUC5B [22] , SPP1 [27] , PTGS2 [28] , TGFB1 [29] and THY1 [30] . Then, we selected eight IPF experiments performed with lung tissue biopsy samples (GSE32537, GSE21369, GSE24206, GSE94060, GSE72073, GSE35145, GSE31934), and using the PulmonDB website, we created a heatmap with the gene expression patterns and observed that the hierarchical clustering of these data separates IPF and control data sets ( Figure 3A, green and grey clusters at the bottom).…”