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Application of bioinformatics technique to screen of differentially expressed proteins in serums of breast cancer patients with white and yellow coating

机译:生物信息学技术在白黄涂层乳腺癌患者血清中筛选蛋白质的应用

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Objective: This study aims to explore the presence of informative protein biomarkers in the human serum proteome of breast cancer who have thick tongue coating of white or yellow. Patients and Methods: Taken 10 samples of breast cancer patients with typical thick white coating and thick yellow coating and those with thin white coating in control group in clinic respectively. Blood was collected, serums were taken, and protein was extracted. Then protein denaturation, deoxidization and enzymatic hydrolysis were conducted. Lastly the proteins were labeled with iTRAQ and identified with ESI-QTOF-Q II mass spectrometry. Peak graph was obtained and analyzed with Data Analysis, MASCOTT 2.2 Database Searching and Scaffold software. Results: 335 proteins were identified, and Compared with the control group, a total of 11 serum differentially expressed proteins were screened out in white coating group and yellow coating group of mammary cancer; 6 differentially expressed proteins were screened out in white coating group and yellow coating group of mammary cancer. Conclusion: This study demonstrated that iTRAQ combined with LC-ESI-QTOF-MS quantitative proteomics is a powerful tool for biomarker discovery, and fing some proteins were associated with breast cancer and tongue coating.
机译:目的:本研究旨在探讨乳腺癌患者血清蛋白质蛋白质蛋白质蛋白质生物标志物的存在,患有白色或黄色的舌癌的乳腺癌。患者和方法:分别服用10种乳腺癌患者样品典型的厚白色涂层和厚厚的黄色涂层,分别在临床上的对照组中具有薄白色涂层的乳腺涂层。收集血液,取血清,提取蛋白质。然后进行蛋白质变性,进行脱氧和酶水解。最后,用ITRAQ标记蛋白质并用ESI-QTOF-Q II质谱法鉴定。获得峰值图并通过数据分析,Mascott 2.2数据库搜索和脚手架软件进行分析。结果:鉴定335例蛋白,与对照组进行比较,在乳腺癌白色涂层组和黄色涂层组中筛分总共11种血清差异表达蛋白质;在乳腺癌的白色涂层组和黄色涂层组中筛选出差异表达的蛋白质。结论:本研究表明,ITRAQ与LC-ESI-QTOF-MS定量蛋白质组学相结合是一种强大的生物标志物发现的工具,赋予一些蛋白质与乳腺癌和舌涂相关。

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