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Comparative mitochondrial proteomic analysis of human large cell lung cancer cell lines with different metastasis potential

机译:不同转移潜力的人大细胞肺癌细胞系的比较线粒体蛋白质组学分析

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Lung cancer is a highly aggressive cancer with a poor prognosis and is associated with distant metastasis; however, there are no clinically recognized biomarkers for the early diagnosis and prediction of lung cancer metastasis. We sought to identify the differential mitochondrial protein profiles and understand the molecular mechanisms governing lung cancer metastasis. Mitochondrial proteomic analysis was performed to screen and identify the differential mitochondrial protein profiles between human large cell lung cancer cell lines with high (L-9981) and low (NL-9980) metastatic potential by two-dimensional differential gel electrophoresis. Western blot was used to validate the differential mitochondrial proteins from the two cells. Bioinformatic proteome analysis was performed using the Mascot search engine and messenger RNA expression of the 37 genes of the differential mitochondrial proteins were detected by real-time PCR. Two hundred and seventeen mitochondrial proteins were differentially expressed between L-9981 and NL-9980 cells (P??0.05). Sixty-four analyzed proteins were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry coupled with database interrogation. Ontology analysis revealed that these proteins were mainly involved in the regulation of translation, amino acid metabolism, tricarboxylic acid cycle, cancer invasion and metastasis, oxidative phosphorylation, intracellular signaling pathway, cell cycle, and apoptosis. Our results suggest that the incorporation of more samples and new datasets will permit the definition of a collection of proteins as potential biomarkers for the prediction and diagnosis of lung cancer metastasis. ? 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.
机译:肺癌是一种高度侵略性的癌症,预后差,与远处转移有关;然而,在肺癌转移的早期诊断和预测中没有临床认可的生物标志物。我们试图鉴定差异线粒体蛋白质谱,并理解治疗肺癌转移的分子机制。进行线粒体蛋白质组学分析对筛选和鉴定具有高(L-9981)和低(NL-9980)转移电位的人大细胞肺癌细胞系之间的微细胞粒细胞蛋白质谱。通过二维差分凝胶电泳。 Western印迹用于验证来自两个细胞的差分线粒体蛋白。使用吉祥物信息蛋白质组分析使用吉祥物搜索引擎进行,通过实时PCR检测微分线粒体蛋白的37个基因的信使RNA表达。在L-9981和NL-9980细胞之间差异表达两百七个线粒体蛋白质(P?<β05)。通过与数据库询问的基质辅助激光解吸/电离 - 飞行质量光谱法鉴定了六十四分析的蛋白质。本体学分析显示,这些蛋白质主要涉及翻译,氨基酸代谢,三羧酸循环,癌症侵袭和转移,氧化磷酸化,细胞周期和凋亡的调控。我们的研究结果表明,更多样本和新数据集的掺入将允许定义蛋白质作为潜在的生物标志物,用于肺癌转移的预测和诊断。 ? 2019年的作者。中国肺部肿瘤集团和约翰瓦里和儿子澳大利亚发表的胸癌

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