%0 Journal Article
%T MicroRNA-transcription factor network analysis reveals miRNAs cooperatively suppress RORA in oral squamous cell carcinoma
%A Jiali Zhang
%A Kejing Wu
%A Shengjie Liao
%A Shu Xia
%A Xinming Chen
%A Xueqing Zheng
%A Yanan Sun
%A Yaying Hu
%A Yi Zhang
%A Yuemei Pan
%J Archive of "Oncogenesis".
%D 2018
%R 10.1038/s41389-018-0089-8
%X a The flow chart described the data obtaining and analysis strategy of this study. The representative histological image of the OSCC tissue (up-left) and paired adjacent normal epithelia tissue (up-right) were also showed. Original magnification: x200. b Hierarchical clustering analysis showed that the differentially expressed mRNAs could discriminate the differences between cancerous tissues and para-carcinoma tissues. c Venn diagram analysis demonstrated the overlapping differentially up-regulated (up) or down-regulated (down) mRNAs between OSCC-Normal tissues (d) GO analysis of coordinately upregulated (left) or downregulated (right) genes in four OSCC tissues revealed the 15 most enriched pathways. The size of circle indicates the corresponding involved gene number; the color of corrected p value indicates the significance of the rich facto
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174157/