Title |
PRMT7 contributes to the metastasis phenotype in human non-small-cell lung cancer cells possibly through the interaction with HSPA5 and EEF2
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Published in |
OncoTargets and therapy, August 2018
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DOI | 10.2147/ott.s166412 |
Pubmed ID | |
Authors |
Dezhi Cheng, Zhifeng He, Liangcheng Zheng, Deyao Xie, Shangwen Dong, Peng Zhang |
Abstract |
Non-small-cell lung cancer (NSCLC) constitutes the leading cause of cancer death in humans. Previous studies revealed the essential role of the protein arginine methyltransferase 7 (PRMT7) in promoting metastasis in breast cancer. However, its function and potential mechanism in NSCLC remain unclear. The gene expression of PRMT7 between lung cancer tissues and normal tissues was studied with online database (http://medicalgenome.kribb.re.kr/GENT/). NSCLC cell lines with specific gene overexpression were constructed with lentivirus transduction. Matrigel invasion and colony formation assays were performed to evaluate the invasion and colony formation abilities. Co-immunoprecipitation coupled with mass spectrometry analysis was performed to explore the potential interaction proteins of PRMT7. Bioinformatic analysis was performed with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases. Online analysis of gene expression patterns revealed the relatively high expression of PRMT7 in lung cancer tissues. PRMT7 overexpression was able to promote the invasion and colony formation of A549 and SPC-A1 cells. A total of 19 in-common proteins shared by both NSCLC cell lines were identified to be interacting with PRMT7 and found to participate in a wide variety of pathways and protein-protein interactions according to bioinformatic analysis. Among them, HSPA5 and EEF2 were further investigated for their essential roles in PRMT7-promoted NSCLC cell invasion. Our results suggested PRMT7 overexpression was able to promote metastasis in NSCLC possibly through the interaction with HSPA5 and EEF2, which provides the potential mechanism of oncogenesis in lung cancer. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 17% |
Student > Ph. D. Student | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Student > Master | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 2 | 9% |
Unknown | 10 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Agricultural and Biological Sciences | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Neuroscience | 2 | 9% |
Psychology | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 48% |