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基于抗体的蛋白质组学在人细胞系中的大规模蛋白质谱分析。

Large-scale protein profiling in human cell lines using antibody-based proteomics.

机构信息

Department of Proteomics, School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, SE-10691 Stockholm, Sweden.

出版信息

J Proteome Res. 2011 Sep 2;10(9):4066-75. doi: 10.1021/pr200259v. Epub 2011 Jul 22.

Abstract

Human cancer cell lines grown in vitro are frequently used to decipher basic cell biological phenomena and to also specifically study different forms of cancer. Here we present the first large-scale study of protein expression patterns in cell lines using an antibody-based proteomics approach. We analyzed the expression pattern of 5436 proteins in 45 different cell lines using hierarchical clustering, principal component analysis, and two-group comparisons for the identification of differentially expressed proteins. Our results show that immunohistochemically determined protein profiles can categorize cell lines into groups that overall reflect the tumor tissue of origin and that hematological cell lines appear to retain their protein profiles to a higher degree than cell lines established from solid tumors. The two-group comparisons reveal well-characterized proteins as well as previously unstudied proteins that could be of potential interest for further investigations. Moreover, multiple myeloma cells and cells of myeloid origin were found to share a protein profile, relative to the protein profile of lymphoid leukemia and lymphoma cells, possibly reflecting their common dependency of bone marrow microenvironment. This work also provides an extensive list of antibodies, for which high-resolution images as well as validation data are available on the Human Protein Atlas ( www.proteinatlas.org ), that are of potential use in cell line studies.

摘要

体外培养的人类癌细胞系常用于破译基本的细胞生物学现象,并专门研究不同形式的癌症。在这里,我们使用基于抗体的蛋白质组学方法首次对细胞系中的蛋白质表达模式进行了大规模研究。我们使用层次聚类、主成分分析和两组比较分析了 45 种不同细胞系中的 5436 种蛋白质的表达模式,以鉴定差异表达的蛋白质。我们的结果表明,免疫组织化学测定的蛋白质谱可以将细胞系分为总体上反映肿瘤组织来源的组,并且血液细胞系似乎比源自实体瘤的细胞系更能保留其蛋白质谱。两组比较揭示了特征明确的蛋白质以及以前未研究过的蛋白质,这些蛋白质可能对进一步研究具有潜在的兴趣。此外,多发性骨髓瘤细胞和髓系细胞与淋巴白血病和淋巴瘤细胞的蛋白质谱相比,具有相似的蛋白质谱,可能反映了它们对骨髓微环境的共同依赖性。这项工作还提供了大量的抗体列表,这些抗体的高分辨率图像和验证数据可在人类蛋白质图谱(www.proteinatlas.org)上获得,这些抗体可能对细胞系研究有用。

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