Quantitative proteomic analysis of serum proteins from oral cancer patients: comparison of two analytical methods.

Quantitative proteomic analysis of serum proteins from oral cancer patients: comparison of two analytical methods.
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DOI:
10.3390/ijms150814386
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发表时间:
2014-08-18
影响因子:
5.6
通讯作者:
Hu S
Hu S
中科院分区:
生物学2区
文献类型:
--
作者:
Yang Y;Huang J;Rabii B;Rabii R;Hu S

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血清蛋白质组学分析可以是发现用于早期检测或监测疾病的蛋白质生物标志物的有价值的方法。在这项研究中,两种分析方法进行了比较,定量血清蛋白在口腔癌患者。在第一种方法中,我们定量的血清蛋白之间的口腔鳞状细胞癌(OSCC)和健康对照受试者进行溶液中消化的血清蛋白,同量异位素标签的相对和绝对定量(iTRAQ)标记的肽,强阳离子交换(SCX)分馏标记的肽,最后毛细管液相色谱串联质谱(LC-MS/MS)分析的肽。在第二种方法中,我们首先用SDS-PAGE分离血清蛋白。然后用胰蛋白酶消化凝胶分离的蛋白质,并用iTRAQ标记所得肽,并用LC-MS/MS分析蛋白质定量。第一种蛋白质组学方法共定量了319种血清蛋白质,而第二种蛋白质组学方法共定量了281种蛋白质。大多数的蛋白质被确定和定量的两种方法,这表明这些方法是同样有效的血清蛋白质组分析。这项研究提供了令人信服的证据,定量血清蛋白质组学分析的口腔鳞癌是一种有价值的方法,用于确定差异表达的蛋白质在癌症患者的循环系统,可用作潜在的生物标志物的疾病检测。在大量口腔癌患者群体中的进一步验证可能会产生一种用于OSCC诊断或监测的简单且低侵入性的临床工具。
Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified serum proteins between oral squamous cell carcinoma (OSCC) and healthy control subjects by performing in-solution digestion of serum proteins, isobaric tags for relative and absolute quantification (iTRAQ) labeling of the resulting peptides, strong cation exchange (SCX) fractionation of labeled peptides and finally capillary liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis of the peptides. In the second approach, we first separated serum proteins with SDS-PAGE. The gel-separated proteins were then digested with trypsin and the resulting peptides were labeled with iTRAQ and analyzed with LC-MS/MS for protein quantification. A total of 319 serum proteins were quantified with the first proteomic approach whereas a total of 281 proteins were quantified by the second proteomic approach. Most of the proteins were identified and quantified by both approaches, suggesting that these methods are similarly effective for serum proteome analysis. This study provides compelling evidence that quantitative serum proteomic analysis of OSCC is a valuable approach for identifying differentially expressed proteins in cancer patients’ circulation systems that may be used as potential biomarkers for disease detection. Further validation in large oral cancer patient populations may lead to a simple and low invasive clinical tool for OSCC diagnosis or monitoring.
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