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Quantitative proteomic profiling of paired cancerous and normal colon epithelial cells isolated freshly from colorectal cancer patients

机译:从结肠直肠癌患者新鲜分离成对癌和正常结肠上皮细胞的定量蛋白质组学分析

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Purpose The heterogeneous structure in tumor tissues from colorectal cancer (CRC) patients excludes an informative comparison between tumors and adjacent normal tissues. Here, we develop and apply a strategy to compare paired cancerous (CEC) versus normal (NEC) epithelial cells enriched from patients and discover potential biomarkers and therapeutic targets for CRC. Experimental design CEC and NEC cells are respectively isolated from five different tumor and normal locations in the resected colon tissue from each patient ( N = 12 patients) using an optimized epithelial cell adhesion molecule (EpCAM)‐based enrichment approach. An ion current‐based quantitative method is employed to perform comparative proteomic analysis for each patient. Results A total of 458 altered proteins that are common among >75% of patients are observed and selected for further investigation. Besides known findings such as deregulation of mitochondrial function, tricarboxylic acid cycle, and RNA post‐transcriptional modification, functional analysis further revealed RAN signaling pathway, small nucleolar ribonucleoproteins (snoRNPs), and infection by RNA viruses are altered in CEC cells. A selection of the altered proteins of interest is validated by immunohistochemistry analyses. Conclusion and clinical relevance The informative comparison between matched CEC and NEC enhances our understanding of molecular mechanisms of CRC development and provides biomarker candidates and new pathways for therapeutic intervention.
机译:目的,从结肠直肠癌(CRC)患者的肿瘤组织中的异质结构排除了肿瘤与邻近正常组织之间的信息性比较。在这里,我们开发并应用策略来比较与患者富集的配对癌变(CEC)对正常(NEC)上皮细胞,并发现CRC的潜在生物标志物和治疗靶标。使用优化的上皮细胞粘附分子(EPCAM)的富集方法,分别从每位患者(n = 12名患者)分离在切除的结肠组织中的五种不同肿瘤和正常位置的实验设计CEC和NEC细胞。采用离子电流的定量方法对每位患者进行比较蛋白质组学分析。结果总共458例常见的蛋白质,其中患者的75%常见,并选择进一步调查。除了已知的发现,例如线粒体函数,三羧酸循环和RNA后转录后改性,进一步揭示了RAN信号通路,小核核糖核蛋白(Snoursps)的功能分析,并且RNA病毒的感染在CEC细胞中改变。通过免疫组织化学分析验证了一种选择的感兴趣的蛋白质。结论及临床相关性匹配CEC与NEC之间的信息比较增强了我对CRC发育的分子机制的认识,为生物标志物候选者和治疗干预的新途径提供。

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