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采用 iTRAQ 标记质谱技术对肺腺癌与正常组织的比较膜蛋白质组学分析。

Comparative membrane proteomic analysis between lung adenocarcinoma and normal tissue by iTRAQ labeling mass spectrometry.

机构信息

Department of Respiratory Medicine, The Second Affiliated Hospital of Medical College, Xi'an Jiaotong University Xi'an, Shannxi 710004, China.

出版信息

Am J Transl Res. 2014 May 15;6(3):267-80. eCollection 2014.

Abstract

Lung adenocarcinoma, the most common type of lung cancer, has increased in recent years. Prognosis is still poor, and pathogenesis remains unclear. This study aimed to investigate the membrane protein profile differences between lung adenocarcinoma and normal tissue. Manual microdissection was used to isolate the target cells from tumor tissue and normal tissue. iTRAQ labeling combined with 2D-LC-MS/MS yielded a differential expression profile of membrane proteins. Bioinformatic analysis was performed using Gene Ontology, WEGO, PID, and KEGG. S100A14 protein was selectively verified by Western blotting. The relationship of S100A14 expression with clinicopathological features in lung cancer patients was evaluated using immunohistochemistry. As a result, 568 differential proteins were identified; 257 proteins were upregulated and 311 were downregulated. Of these proteins, 48% were found to be membrane bound or membrane associated. These proteins enable the physiological functions of binding, catalysis, molecular transduction, transport, and molecular structure. For these differential proteins, 35 pathways were significantly enriched through the Pathway Interaction Database, whereas 19 pathways were enriched via KEGG. The overexpression and cellular distribution of S100A14 in lung cancer were confirmed. We found that upregulation of S100A14 was associated with well or moderate differentiation. The iTRAQ-coupled 2D-LC-MS/MS technique is a potential method for comparing membrane protein profiles between tumor and normal tissue. Such analysis may also help in identifying novel biomarkers and the mechanisms underlying carcinogenesis.

摘要

肺腺癌是最常见的肺癌类型,近年来发病率有所增加。预后仍然较差,发病机制尚不清楚。本研究旨在探讨肺腺癌与正常组织之间的膜蛋白谱差异。采用手动显微解剖技术从肿瘤组织和正常组织中分离靶细胞。iTRAQ 标记结合 2D-LC-MS/MS 产生了膜蛋白的差异表达谱。使用基因本体论、WEGO、PID 和 KEGG 进行生物信息学分析。通过 Western blot 选择性验证 S100A14 蛋白。使用免疫组织化学评估 S100A14 表达与肺癌患者临床病理特征的关系。结果鉴定了 568 个差异蛋白;257 个蛋白上调,311 个蛋白下调。这些蛋白中有 48%被发现是膜结合或膜相关的。这些蛋白实现了结合、催化、分子转导、运输和分子结构等生理功能。对于这些差异蛋白,通过途径相互作用数据库显著富集了 35 条途径,而通过 KEGG 则富集了 19 条途径。在肺癌中证实了 S100A14 的过表达和细胞分布。我们发现 S100A14 的上调与较好或中等分化有关。iTRAQ 结合 2D-LC-MS/MS 技术是比较肿瘤和正常组织之间膜蛋白谱的潜在方法。这种分析还有助于识别新的生物标志物和致癌机制。

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