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The development of Proteosep and protein microarrays as well as their applications to cancer proteomics with mass spectrometric methods.

机译:蛋白质组和蛋白质微阵列的开发及其在质谱学方法中用于癌症蛋白质组学的应用。

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摘要

This work develops a multidimensional liquid-phase separation protocol—Proteosep technique—for the proteome fractionation of whole-cell lysates. The 1st dimension fractionates proteins by pI using chromatofocussing with analytical columns. The 2nd dimension separates the proteins in each pI fraction using nonporous reversed-phase (NPS-RP) HPLC. A 2D map of each cell line (pI vs. hydrophobicity) as detected by UV absorption is generated with Proteovue™ and Deltavue™ software. The separated proteins are analyzed by mass spectrometry to determine protein MW and IDs.; One of the important applications of this technique compares the protein expression profiles between drug-treated and untreated colon cancer HCT-116 cells. In the 2D UV map produced after the LC fractionations, over 1000 protein bands can be detected in 0.2 pH fractions over pH4–7. A differential display map indicating the presence of up- or down-regulated proteins is also generated. The liquid eluent from the separation is directed on-line into an electrospray (ESI) TOF-MS to obtain accurate MWs of the intact proteins. These MWs together with the pI values and a peptide map are then used to identify proteins by database searching. Proteins up- or down-regulated as a result of the drug treatment are identified and the quantitation of the change in the protein expression is based upon UV absorption. The method has been shown to provide efficient separations and is highly reproducible for quantitative analyses of lysates via differential display mapping.; This work also performs proteomic analyses in a high throughput fashion using protein microarrays to identify potential serum biomarkers for prostate cancer. The cell lysate of prostate cancer is fractionated in a 2D LC separation and arrayed on nitrocellulose slides. Specific protein fractions are immunoreactive against prostate cancer serum but not against serum from healthy individuals. The molecular mass and peptide sequence data obtained in the mass spectrometric analysis of these fractions identify 3 protein antigens. These proteins might serve as sero-diagnostic markers for prostate cancer. Importantly, this method uses post-translationally modified proteins as baits for the detection of humoral response, and is amenable to automation due to the fractionation of proteins in the liquid phase.
机译:这项工作开发了多维液相分离协议-Proteosep技术-用于全细胞裂解物的蛋白质组分离。 1 st 维使用分析柱的色谱聚焦通过pI分离蛋白质。使用无孔反相(NPS-RP)HPLC在第二维上分离每个pI级分中的蛋白质。用Proteovue™和Deltavue™软件生成通过紫外线吸收检测到的每个细胞系的二维图(pI与疏水性)。通过质谱分析分离的蛋白质以确定蛋白质的MW和ID。该技术的重要应用之一是比较药物治疗和未治疗的结肠癌HCT-116细胞之间的蛋白质表达谱。在LC分级分离后产生的二维UV图谱中,在pH4–7的0.2 pH馏分中可以检测到1000多个蛋白带。还会生成一个差异显示图,表明存在上调或下调的蛋白质。分离得到的液体洗脱液被在线导入电喷雾(ESI)TOF-MS中,以获取完整蛋白质的准确分子量。然后通过数据库搜索将这些MW以及pI值和肽图用于鉴定蛋白质。鉴定出由于药物治疗而上调或下调的蛋白质,并且蛋白质表达变化的定量基于紫外线吸收。该方法已显示出有效的分离效果,并且通过差异显示图谱对裂解物的定量分析具有高度可重复性。这项工作还使用蛋白质微阵列以高通量方式进行蛋白质组学分析,以鉴定前列腺癌的潜在血清生物标志物。将前列腺癌的细胞裂解液在2D LC分离中分级分离,并排列在硝酸纤维素玻片上。特定的蛋白质组分对前列腺癌血清具有免疫反应性,但对健康个体的血清则无免疫反应。在这些部分的质谱分析中获得的分子质量和肽序列数据可识别3种蛋白质抗原。这些蛋白质可能用作前列腺癌的血清诊断标志物。重要的是,该方法使用翻译后修饰的蛋白质作为诱饵来检测体液反应,并且由于液相中蛋白质的分馏而适合自动化。

著录项

  • 作者

    Yan, Fang.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Chemistry Analytical.; Health Sciences Oncology.; Biology Molecular.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;肿瘤学;分子遗传学;
  • 关键词

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