Screening results and visualisation of significantly differentially expressed genes (DEGs). (IMAGE)
Caption
(A) Principal component analysis (PCA) scatter plots were performed with all identified features to explore the largest sources of variance within each omics dataset. (B) Venn diagrams showed the overlapped features, including 14 046 genes among samples collected from shPFDN6 cells. (C) Statistical analysis of differential expression. (D) Volcano plot shows DEGs from shPFDN6 cells (compared with shCtrl cells), and significantly altered genes are shown in red (upregulation) or green (downregulation). (E–G) The scatter plot showed DEGs among the six groups (shCtrl-1, shCtrl-2, shCtrl-3, shPFDN6-1, shPFDN6-2 and shPFDN6-3). (H) Line plots depicting the expression trends of differential transcripts in various modules. Each subplot within the figure represents the expression trend of transcripts within a specific submodule. (I,J) The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses to visualise associated functional pathways. (K) Significantly enriched functional-gene interaction network diagram, where square nodes represent functional information, circular nodes represent genes, and edges represent the associations between genes and functions.
Credit
By Fenghua Xu, LingYang Kong, Xiao Sun, et al.
Usage Restrictions
Credit must be given to the creator. Only noncommercial uses of the work are permitted.
License
CC BY-NC