Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan.
J Proteome Res. 2010 Mar 5;9(3):1302-22. doi: 10.1021/pr900825t.
The transformation of a normal cell into a cancer cell has been correlated with alterations in gene regulation and protein expression. To identify altered proteins and link them to the tumorigenesis of breast cancer, we have distinguished normal breast cells (MCF-10A) from noninvasive breast cancer cells (MCF-7) and invasive breast cancer cells (MB-MDA-231) to identify potential breast cancer markers in transformed breast cells. Using the 2D-DIGE and MALDI-TOF MS techniques, we quantified and identified differentially expressed extracellular secreted proteins and total cellular proteins across MCF-7, MB-MDA-231 and MCF-10A. The proteomic analysis of the secreted proteins identified 50 unique differentially expressed proteins from three different media. In addition, 133 unique differentially expressed proteins from total cellular proteins were also identified. Note that 14 of the secreted proteins and 51 of the total cellular proteins have not been previously reported in breast cancer research. Some of these unreported proteins have been examined in other breast cancer cell lines and have shown positive correlations with 2D-DIGE data. In summary, this study identifies numerous putative breast cancer markers from various stages of breast cancer. The results of this study may aid in developing proteins identified as useful diagnostic and therapeutic candidates in research on cancer and proteomics.
正常细胞向癌细胞的转化与基因调控和蛋白质表达的改变有关。为了鉴定改变的蛋白质，并将其与乳腺癌的肿瘤发生联系起来，我们将正常乳腺细胞（MCF-10A）与非浸润性乳腺癌细胞（MCF-7）和浸润性乳腺癌细胞（MB-MDA-231）区分开来，以鉴定转化乳腺细胞中的潜在乳腺癌标志物。使用 2D-DIGE 和 MALDI-TOF MS 技术，我们在 MCF-7、MB-MDA-231 和 MCF-10A 之间定量和鉴定了差异表达的细胞外分泌蛋白和总细胞蛋白。分泌蛋白的蛋白质组学分析从三种不同的培养基中鉴定出 50 种独特的差异表达蛋白。此外，还从总细胞蛋白中鉴定出 133 种独特的差异表达蛋白。值得注意的是，有 14 种分泌蛋白和 51 种总细胞蛋白以前在乳腺癌研究中没有报道过。其中一些未报道的蛋白质已经在其他乳腺癌细胞系中进行了检查，并与 2D-DIGE 数据显示出正相关。总之，本研究从乳腺癌的各个阶段鉴定出许多潜在的乳腺癌标志物。这项研究的结果可能有助于开发被鉴定为癌症和蛋白质组学研究中有用的诊断和治疗候选物的蛋白质。
