López Elena, Wesselink Jan-Jaap, López Isabel, Mendieta Jesús, Gómez-Puertas Paulino, Muñoz Sarbelio Rodríguez
Centro de Investigación i+12 del Hospital Universitario 12 de Octubre, Avda de Córdoba s/n Madrid, 28041, Spain.
Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM) Campus de Cantoblanco, c/Nicolás Cabrera, 1, 28049 Madrid, Spain.
J Clin Bioinforma. 2011 Oct 3;1:26. doi: 10.1186/2043-9113-1-26.
Reversible protein phosphorylation is one of the most important forms of cellular regulation. Thus, phosphoproteomic analysis of protein phosphorylation in cells is a powerful tool to evaluate cell functional status. The importance of protein kinase-regulated signal transduction pathways in human cancer has led to the development of drugs that inhibit protein kinases at the apex or intermediary levels of these pathways. Phosphoproteomic analysis of these signalling pathways will provide important insights for operation and connectivity of these pathways to facilitate identification of the best targets for cancer therapies. Enrichment of phosphorylated proteins or peptides from tissue or bodily fluid samples is required. The application of technologies such as phosphoenrichments, mass spectrometry (MS) coupled to bioinformatics tools is crucial for the identification and quantification of protein phosphorylation sites for advancing in such relevant clinical research. A combination of different phosphopeptide enrichments, quantitative techniques and bioinformatic tools is necessary to achieve good phospho-regulation data and good structural analysis of protein studies. The current and most useful proteomics and bioinformatics techniques will be explained with research examples. Our aim in this article is to be helpful for cancer research via detailing proteomics and bioinformatic tools.
可逆蛋白磷酸化是细胞调节最重要的形式之一。因此，细胞中蛋白质磷酸化的磷酸化蛋白质组分析是评估细胞功能状态的有力工具。蛋白激酶调节的信号转导通路在人类癌症中的重要性导致了在这些通路的顶端或中间水平抑制蛋白激酶的药物的开发。对这些信号通路的磷酸化蛋白质组分析将为这些通路的运作和连通性提供重要见解，以促进癌症治疗最佳靶点的识别。需要从组织或体液样本中富集磷酸化蛋白质或肽段。诸如磷酸化富集、与生物信息学工具联用的质谱（MS）等技术的应用对于识别和定量蛋白质磷酸化位点以推进此类相关临床研究至关重要。不同的磷酸肽富集、定量技术和生物信息学工具的组合对于获得良好的磷酸化调节数据和蛋白质研究的良好结构分析是必要的。将通过研究实例解释当前最有用的蛋白质组学和生物信息学技术。本文的目的是通过详细介绍蛋白质组学和生物信息学工具来帮助癌症研究。
