Heller Manfred, Schlappritzi Evelyn, Stalder Daniel, Nuoffer Jean-Marc, Haeberli André
Laboratory of Thrombosis Research, Department of Clinical Research, University of Bern, Switzerland.
Mol Cell Proteomics. 2007 Jun;6(6):1059-72. doi: 10.1074/mcp.M600326-MCP200. Epub 2007 Mar 5.
A protein of a biological sample is usually quantified by immunological techniques based on antibodies. Mass spectrometry offers alternative approaches that are not dependent on antibody affinity and avidity, protein isoforms, quaternary structures, or steric hindrance of antibody-antigen recognition in case of multiprotein complexes. One approach is the use of stable isotope-labeled internal standards; another is the direct exploitation of mass spectrometric signals recorded by LC-MS/MS analysis of protein digests. Here we assessed the peptide match score summation index based on probabilistic peptide scores calculated by the PHENYX protein identification engine for absolute protein quantification in accordance with the protein abundance index as proposed by Mann and co-workers (Rappsilber, J., Ryder, U., Lamond, A. I., and Mann, M. (2002) Large-scale proteomic analysis of the human spliceosome. Genome Res. 12, 1231-1245). Using synthetic protein mixtures, we demonstrated that this approach works well, although proteins can have different response factors. Applied to high density lipoproteins (HDLs), this new approach compared favorably to alternative protein quantitation methods like UV detection of protein peaks separated by capillary electrophoresis or quantitation of protein spots on SDS-PAGE. We compared the protein composition of a well defined HDL density class isolated from plasma of seven hypercholesterolemia subjects having low or high HDL cholesterol with HDL from nine normolipidemia subjects. The quantitative protein patterns distinguished individuals according to the corresponding concentration and distribution of cholesterol from serum lipid measurements of the same samples and revealed that hypercholesterolemia in unrelated individuals is the result of different deficiencies. The presented approach is complementary to HDL lipid analysis; does not rely on complicated sample treatment, e.g. chemical reactions, or antibodies; and can be used for projective clinical studies of larger patient groups.
生物样品中的蛋白质通常通过基于抗体的免疫技术进行定量。质谱分析法提供了不依赖抗体亲和力和avidity、蛋白质异构体、四级结构或多蛋白复合物中抗体 - 抗原识别的空间位阻的替代方法。一种方法是使用稳定同位素标记的内标;另一种方法是直接利用通过蛋白质消化物的液相色谱 - 串联质谱分析记录的质谱信号。在此,我们根据PHENYX蛋白质鉴定引擎计算的概率肽得分评估了肽匹配得分总和指数,以根据Mann及其同事提出的蛋白质丰度指数进行绝对蛋白质定量(Rappsilber, J., Ryder, U., Lamond, A. I., and Mann, M. (2002) 人类剪接体的大规模蛋白质组分析。基因组研究。12, 1231 - 1245)。使用合成蛋白质混合物,我们证明了这种方法效果良好,尽管蛋白质可能具有不同的响应因子。应用于高密度脂蛋白(HDL)时,这种新方法与替代蛋白质定量方法相比具有优势,如通过毛细管电泳分离的蛋白质峰的紫外检测或SDS - PAGE上蛋白质斑点的定量。我们比较了从七名高胆固醇血症受试者(HDL胆固醇水平低或高)的血浆中分离出的定义明确的HDL密度类别的蛋白质组成与九名正常血脂受试者的HDL。定量蛋白质模式根据相同样品的血清脂质测量中胆固醇的相应浓度和分布区分个体,并揭示无关个体中的高胆固醇血症是不同缺陷的结果。所提出的方法是对HDL脂质分析的补充;不依赖复杂的样品处理,例如化学反应或抗体;并且可用于更大患者群体的前瞻性临床研究。