NOP14 promotes proliferation and metastasis of pancreatic cancer cells
CANCER LETTERS
Authors: Zhou, Bin; Wu, Qiao; Chen, Ge; Zhang, Tai-Ping; Zhao, Yu-Pei
Abstract
Pancreatic cancer (PC) is one of the most malignant cancers worldwide. We describe a novel gene, NOP14, which plays significant roles in PC cell proliferation and migration. Inhibition or overexpression of NOP14 expression in PC cells can reduce or promote motility, proliferation and metastatic capacity in vivo. In parallel, we observed changes in proteins related to migration, such as E-cadherin, vimentin, MMP9, RhoA and p53, along with proteins involved in proliferation, such as MAPK3 and CDK2. Taken together, our study provides new evidence for NOP14 in regulating PC cell proliferation and migration, and may provide new insights for clinical diagnosis and therapy. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
Using an in Situ Proximity Ligation Assay to Systematically Profile Endogenous Protein-Protein Interactions in a Pathway Network
JOURNAL OF PROTEOME RESEARCH
Authors: Chen, Tzu-Chi; Lin, Kuan-Ting; Chen, Chun-Houh; Lee, Sheng-An; Lee, Pei-Ying; Liu, Yu-Wen; Kuo, Yu-Lun; Wang, Feng-Sheng; Lai, Jin-Mei; Huang, Chi-Ying F.
Abstract
Signal transduction pathways in the cell require protein-protein interactions (PPIs) to respond to environmental cues. Diverse experimental techniques for detecting PPIs have been developed. However, the huge amount of PPI data accumulated from various sources poses a challenge with respect to data reliability. Herein, we collected similar to 700 primary antibodies and employed a highly sensitive and specific technique, an in situ proximity ligation assay, to investigate 1204 endogenous PPIs in HeLa cells, and 557 PPIs of them tested positive. To overview the tested PPIs, we mapped them into 13 PPI public databases, which showed 72% of them were annotated in the Human Protein Reference Database (HPRD) and 8 PPIs were new PPIs not in the PubMed database. Moreover, TP53, CTNNB1, AKT1, CDKN1A, and CASP3 were the top 5 proteins prioritized by topology analyses of the 557 PPI network. Integration of the PPI-pathway interaction revealed that 90 PPIs were cross-talk PPIs linking 17 signaling pathways based on Reactome annotations. The top 2 connected cross-talk PPIs are MAPK3-DAPK1 and FAS-PRKCA interactions, which link 9 and 8 pathways, respectively. In summary, we established an open resource for biological modules and signaling pathway profiles, providing a foundation for comprehensive analysis of the human interactome.