Secretomic and Proteomic Analysis of Potential Breast Cancer Markers by Two-Dimensional Differential Gel Electrophoresis
Secretomic and Proteomic Analysis of Potential Breast Cancer Markers by Two-Dimensional Differential Gel Electrophoresis
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DOI：
10.1021/pr900825t
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发表时间：
2010-03-01
影响因子：
4.4
通讯作者：
Chan, Hong-Lin
中科院分区：
文献类型：
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作者：
Lai, Tzu-Chia;Chou, Hsiu-Chuan;Chan, Hong-Lin
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。为了识别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）与非侵袭性乳腺癌细胞（MCF-7）和侵袭性乳腺癌细胞（MB-MDA-231）区分开来，以识别转化乳腺细胞中潜在的乳腺癌标志物。利用2D-DIGE和MALDI-TOF质谱技术，我们定量鉴定了MCF-7、MB-MDA-231和MCF-10A细胞外分泌蛋白和细胞总蛋白的差异表达。分泌蛋白的蛋白质组学分析鉴定了来自三种不同培养基的50种独特的差异表达蛋白。此外，从总细胞蛋白中鉴定出133个独特的差异表达蛋白。请注意，14种分泌蛋白和51种总细胞蛋白之前没有在乳腺癌研究中报道过。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测，并显示出与2D-DIGE数据呈正相关。总之，这项研究从乳腺癌的不同阶段确定了许多假定的乳腺癌标志物。本研究的结果可能有助于开发在癌症和蛋白质组学研究中被确定为有用的诊断和治疗候选蛋白。
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.