Solanki Hitendra S, Advani Jayshree, Khan Aafaque Ahmad, Radhakrishnan Aneesha, Sahasrabuddhe Nandini A, Pinto Sneha M, Chang Xiaofei, Prasad Thottethodi Subrahmanya Keshava, Mathur Premendu Prakash, Sidransky David, Gowda Harsha, Chatterjee Aditi
1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
2 School of Biotechnology, KIIT University , Bhubaneswar, Odisha, India .
OMICS. 2017 Aug;21(8):474-487. doi: 10.1089/omi.2017.0090.
Proteomics analysis of chronic cigarette smoke exposure is a rapidly emerging postgenomics research field. While smoking is a major cause of lung cancer, functional studies using proteomics approaches could enrich our mechanistic understanding of the elusive lung cancer global molecular signaling and cigarette smoke relationship. We report in this study on a stable isotope labeling by amino acids in cell culture-based quantitative phosphoproteomic analysis of a human lung mucoepidermoid carcinoma cell line, H292 cells, chronically exposed to cigarette smoke. Using high resolution Orbitrap Velos mass spectrometer, we identified the hyperphosphorylation of 493 sites, which corresponds to 341 proteins and 195 hypophosphorylated sites, mapping to 142 proteins upon smoke exposure (2.0-fold change). We report differential phosphorylation of multiple kinases, including PAK6, EPHA4, LYN, mitogen-activated protein kinase, and phosphatases, including TMEM55B, PTPN14, TIGAR, among others, in response to chronic cigarette smoke exposure. Bioinformatics analysis revealed that the molecules differentially phosphorylated upon chronic exposure of cigarette smoke are associated with PI3K/AKT/mTOR and CDC42-PAK signaling pathways. These signaling networks are involved in multiple cellular processes, including cell polarity, cytoskeletal remodeling, cellular migration, protein synthesis, autophagy, and apoptosis. The present study contributes to emerging proteomics insights on cigarette smoke mediated global signaling in lung cells, which in turn may aid in development of precision medicine therapeutics and postgenomics biomarkers.
慢性香烟烟雾暴露的蛋白质组学分析是一个迅速兴起的后基因组学研究领域。虽然吸烟是肺癌的主要病因,但使用蛋白质组学方法进行的功能研究可以丰富我们对难以捉摸的肺癌整体分子信号与香烟烟雾关系的机制理解。在本研究中,我们报告了基于细胞培养的氨基酸稳定同位素标记法对人肺黏液表皮样癌细胞系H292细胞进行慢性香烟烟雾暴露后的定量磷酸化蛋白质组分析。使用高分辨率的Orbitrap Velos质谱仪,我们鉴定出493个位点的磷酸化增强,对应341种蛋白质,以及195个磷酸化减弱的位点,在烟雾暴露后映射到142种蛋白质(变化倍数为2.0)。我们报告了多种激酶的磷酸化差异,包括PAK6、EPHA4、LYN、丝裂原活化蛋白激酶,以及多种磷酸酶的磷酸化差异,包括TMEM55B、PTPN14、TIGAR等,这些差异是对慢性香烟烟雾暴露的反应。生物信息学分析表明,在慢性香烟烟雾暴露后磷酸化发生差异的分子与PI3K/AKT/mTOR和CDC42-PAK信号通路相关。这些信号网络参与多种细胞过程,包括细胞极性、细胞骨架重塑、细胞迁移、蛋白质合成、自噬和凋亡。本研究为香烟烟雾介导的肺细胞整体信号的蛋白质组学新见解做出了贡献,这反过来可能有助于精准医学治疗方法的开发和后基因组学生物标志物的研究。