Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
Blood. 2010 Sep 30;116(13):e26-34. doi: 10.1182/blood-2010-02-271270. Epub 2010 Jun 22.
Immunophenotyping by flow cytometry or immunohistochemistry is a clinical standard procedure for diagnosis, classification, and monitoring of hematologic malignancies. Antibody-based cell surface phenotyping is commonly limited to cell surface proteins for which specific antibodies are available and the number of parallel measurements is limited. The resulting limited knowledge about cell surface protein markers hampers early clinical diagnosis and subclassification of hematologic malignancies. Here, we describe the mass spectrometry based phenotyping of 2 all-trans retinoic acid treated acute myeloid leukemia model systems at an unprecedented level to a depth of more than 500 membrane proteins, including 137 bona fide cell surface exposed CD proteins. This extensive view of the leukemia surface proteome was achieved by developing and applying new implementations of the Cell Surface Capturing (CSC) technology. Bioinformatic and hierarchical cluster analysis showed that the applied strategy reliably revealed known differentiation-induced abundance changes of cell surface proteins in HL60 and NB4 cells and it also identified cell surface proteins with very little prior information. The extensive and quantitative analysis of the cell surface protein landscape from a systems biology perspective will be most useful in the clinic for the improved subclassification of hematologic malignancies and the identification of new drug targets.
流式细胞术或免疫组织化学的免疫表型分析是诊断、分类和监测血液系统恶性肿瘤的临床标准程序。基于抗体的细胞表面表型分析通常仅限于具有特定抗体的细胞表面蛋白,并且并行测量的数量有限。由此产生的关于细胞表面蛋白标志物的有限知识阻碍了血液系统恶性肿瘤的早期临床诊断和亚分类。在这里,我们描述了基于质谱的表型分析,在以前所未有的水平上对 2 种全反式维甲酸处理的急性髓系白血病模型系统进行了分析,深度超过 500 种膜蛋白,包括 137 种真正的细胞表面暴露的 CD 蛋白。通过开发和应用 Cell Surface Capturing (CSC) 技术的新实现,实现了对白血病表面蛋白质组的广泛观察。生物信息学和层次聚类分析表明,所应用的策略可靠地揭示了 HL60 和 NB4 细胞中已知的分化诱导的细胞表面蛋白丰度变化,并且还鉴定了具有很少先前信息的细胞表面蛋白。从系统生物学角度对细胞表面蛋白图谱进行广泛而定量的分析,将在临床上最有益于血液系统恶性肿瘤的分类和新药物靶点的鉴定。