Huber Martina, Bahr Inke, Krätzschmar Jörn R, Becker Andreas, Müller Eva-Christina, Donner Peter, Pohlenz Hans-Dieter, Schneider Martin R, Sommer Anette
Research Laboratories of Schering AG, 13342 Berlin, Germany.
Mol Cell Proteomics. 2004 Jan;3(1):43-55. doi: 10.1074/mcp.M300047-MCP200. Epub 2003 Oct 13.
In search of novel mechanisms leading to the development of antiestrogen-resistance in human breast tumors, we analyzed differences in the gene and protein expression pattern of the human breast carcinoma cell line T47D and its derivative T47D-r, which is resistant toward the pure antiestrogen ZM 182780 (Faslodex trade mark, fulvestrant). Affymetrix DNA chip hybridizations on the commercially available HuGeneFL and Hu95A arrays were carried out in parallel to the proteomics analysis where the total cellular protein content of T47D or T47D-r was separated on two-dimensional gels. Thirty-eight proteins were found to be reproducibly up- or down-regulated more than 2-fold in T47D-r versus T47D in the proteomics analysis. Comparison with differential mRNA analysis revealed that 19 of these were up- or down-regulated in parallel with the corresponding mRNA molecules, among which are the protease cathepsin D, the GTPases Rab11a and MxA, and the secreted protein hAG-2. For 11 proteins, the corresponding mRNA was not found to be differentially expressed, and for eight proteins an inverse regulation was found at the mRNA level. In summary, mRNA expression data, when combined with proteomic information, provide a more detailed picture of how breast cancer cells are altered in their antiestrogen-resistant compared with the antiestrogen-sensitive state.
为了寻找导致人类乳腺肿瘤产生抗雌激素耐药性的新机制,我们分析了人乳腺癌细胞系T47D及其衍生物T47D-r在基因和蛋白质表达模式上的差异,T47D-r对纯抗雌激素ZM 182780(商品名Faslodex,氟维司群)具有抗性。在蛋白质组学分析中,将T47D或T47D-r的总细胞蛋白质含量在二维凝胶上分离,与此同时,在市售的HuGeneFL和Hu95A芯片上进行Affymetrix DNA芯片杂交。蛋白质组学分析发现,与T47D相比,T47D-r中有38种蛋白质的表达可重复性地上调或下调超过2倍。与差异mRNA分析结果对比发现,其中19种蛋白质的表达与相应的mRNA分子平行上调或下调,包括蛋白酶组织蛋白酶D、GTP酶Rab11a和Mx A以及分泌蛋白hAG-2。对于11种蛋白质,未发现相应的mRNA有差异表达,对于8种蛋白质,在mRNA水平发现了反向调控。总之,将mRNA表达数据与蛋白质组学信息相结合,能更详细地描绘出与抗雌激素敏感状态相比,乳腺癌细胞在抗雌激素耐药状态下是如何发生改变的。