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Towards a comprehensive proteome of normal and malignant human colon tissue by 2-D-LC-ESI-MS and 2-DE proteomics and identification of S100A12 as potential cancer biomarker

机译:通过2-D-LC-ESI-MS和2-DE蛋白质组学建立正常和恶性人类结肠组织的全面蛋白质组,并鉴定S100A12作为潜在的癌症生物标志物

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The aim of this study was to characterize the proteome of normal and malignant colonic tissue. We previously studied the colon proteome using 2-DE and MALDI-MS and identified 734 proteins (RoeBler, M., Rollinger, W, Palme S., Hagmann, MA., et al., Chn. Cancer Res. 2005, 11, 6550-6557). Here we report the identification of additional colon proteins from the same set of tissue samples using a complementary nano-flow 2-D-LC-ESI-MS. In total, 484 proteins were identified in colon. Of these, 252 had also been identified by the 2-DE/MALDI-MS approach, whereas 232 proteins were unique to the 2-D-LC-ESI-MS analysis. Comparing protein expression in neoplastic and normal colon tissue indicated elevated expression of several proteins in colorectal cancer, among them the well established tumor marker carcinoembryonic antigen, as well as calnexin, 40S ribosomal protein S15a, serpin H1, and S100A12. Overexpression of these proteins was confirmed by immunoblotting. Serum levels of S100A12 were determined by ELISA and were found to be strongly elevated in colorectal cancer patients compared to healthy individuals. We conclude, that 2-D-LC-ESI-MS is a powerful approach to identify and compare protein profiles of tissue samples, that it is complementary to 2-DE/MALDI-MS approaches and has the potential to identify novel biomarkers.
机译:这项研究的目的是表征正常和恶性结肠组织的蛋白质组。我们先前使用2-DE和MALDI-MS研究了结肠蛋白质组,并鉴定了734种蛋白质(RoeBler,M.,Rollinger,W,Palme S.,Hagmann,MA。,et al。,Chn.Cancer Res.2005,11, 6550-6557)。在这里,我们报告使用互补的纳米流2-D-LC-ESI-MS从同一组组织样品中鉴定出其他结肠蛋白。总共在结肠中鉴定出484种蛋白质。其中,2-DE / MALDI-MS方法也鉴定出252种,而232种蛋白质是2-D-LC-ESI-MS分析所特有的。比较肿瘤组织和正常结肠组织中的蛋白表达,表明大肠癌中几种蛋白的表达升高,其中包括建立良好的肿瘤标志物癌胚抗原,以及钙联接蛋白,40S核糖体蛋白S15a,丝氨酸蛋白酶抑制剂H1和S100A12。通过免疫印迹证实了这些蛋白质的过表达。通过ELISA测定了S100A12的血清水平,发现与健康个体相比,S100A12在大肠癌患者中强烈升高。我们得出的结论是,2-D-LC-ESI-MS是识别和比较组织样品蛋白质谱的有力方法,它是2-DE / MALDI-MS方法的补充,并且具有识别新型生物标志物的潜力。

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