Subcellular proteomics revealed the epithelial-mesenchymal transition phenotype in lung cancer
Autor: | Tong Wang, Qing-Yu He, Li Ping Li, Chuan-Le Xiao, Xin Feng Yin, Zhipeng Chen, Wei Wang, Feng Ge, Langxia Liu, Jianxing He, Chun Hua Lu |
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Rok vydání: | 2011 |
Předmět: |
Proteomics
Epithelial-Mesenchymal Transition Lung Neoplasms Heterogeneous nuclear ribonucleoprotein Proteome Clinical Biochemistry Immunoblotting Bronchi Adenocarcinoma Biology medicine.disease_cause Biochemistry medicine Humans Gene silencing Electrophoresis Gel Two-Dimensional Epithelial–mesenchymal transition Lung cancer Molecular Biology Cells Cultured A549 cell respiratory system medicine.disease Phenotype Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Immunology Cancer research Carcinogenesis Subcellular Fractions |
Zdroj: | PROTEOMICS. 11:429-439 |
ISSN: | 1615-9853 |
DOI: | 10.1002/pmic.200900819 |
Popis: | Subcellular proteomics was used to compare the protein profiles between human lung adenocarcinoma A549 cells and human bronchial epithelial (HBE) cells. In total, 106 differential proteins were identified and the altered expression levels of partial identified proteins were confirmed by Western blot analysis. Importantly, pathway analysis and biological validation revealed epithelial-mesenchymal transition (EMT) phenotype shift in A549 cells as compared with HBE cells. The EMT phenotype of A549 cells can be increased by self-producing TGF-β1 and significantly decreased by silencing heterogeneous nuclear ribonucleoprotein (hnRNPK) expression. As EMT has been considered as an important event during malignant tumor progression and metastasis, investigating EMT and deciphering the related pathways may lead to more efficient strategies to fight lung cancer progression. By integrating the subcellular proteomic data with EMT-related functional studies, we revealed new insights into the EMT progress of lung carcinogenesis, providing clues for further investigations on the discovery of potential therapeutic targets. |
Databáze: | OpenAIRE |
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