Anti-RUNX3 monoclonal antibody, clone 3C4

Introduction: The purpose of our research was to evaluate MT1JP in breast cancer. Material and Methods: For clinical purpose, tissues were collected, and a correlation analysis of MT1JP and miRNA-214 gene expressions was conducted. Using an in vitro study, MDA-MB-231 and MCF-7 cell lines were used as research objects in our research. Colony, flow cytometry, TUNEL, transwell, adhesion and wound healing assay were used to discuss the biological activities of the cells. In an in vivo study, tumor weight and volume were measured, and cell apoptosis was measured by TUNEL assay. The relative mechanism's proteins were evaluated by Western blotting or immunohistochemistry assay. Results: Compared with adjacent tissues, MT1JP and miRNA-214 gene expressions were significantly different (P<0.001, respectively). By in vitro and in vivo studies, the biological activities of the cells were significantly decreased in MDA-MB-231 and MCF-7 cell lines with MT1JP overexpression. The relative mechanism was correlated with miRNA-214/RUNX3 axis. Conclusion: The overexpression of MT1JP suppresses the biological activities of breast cancer cells by regulation miRNA-214/RUNX3 axis in vitro and vivo study.

We aimed to screen the differential expressed genes (DEGs) and transcriptional factors (TFs) related to gastric cancer. GSE19826 microarray data downloaded from Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) and PPI network of DEGs were constructed by the Retrieval of Interacting Genes database. Pathway enrichment analysis of DEGs were performed by Gene Set Enrichment Analysis. Then, the transcriptional regulatory network was constructed based on TRANSFAC database. Finally, regulatory impact factor (RIF) of TF was calculated. We identified 446 DEGs including 209 up- and 237 down-regulated genes. These DEGs were mainly significantly enriched in 5 pathways including ECM receptor interaction (p = 0.013899), spliceosome (p = 0.025591), bladder cancer (p = 0.026316), focal adhesion (p = 0.047809) and WNT signaling pathway (p = 0.048077). PPI network with 247 nodes and 913 edges were constructed and COL5A2 was the hub node. Transcriptional regulatory network with 6 differently expressed TFs, 58 non-differently expressed TFs, 44 DEGs and 735 non-DEGs was constructed. Finally, top 5 TFs including CRX, TFAP4, NKX2-1, MYB and RARG with higher Z(RIF) were screened. The identified DEGs such as COL5A2 and TOP2A, and TFs including EGR2, FOXM1, NKX2-1 and TFAP4 might be the critical genes and TFs for gastric cancer.