Division of Medicine, University College London, 5 University Street, London WC1E 6JF, United Kingdom.
J Proteome Res. 2010 Jan;9(1):495-508. doi: 10.1021/pr9008332.
We have combined sucrose density gradient subcellular fractionation with quantitative, tandem-mass-spectrometry-based shotgun proteomics to investigate spatial distributions of proteins in MCF-7 breast cancer cells. Emphasis was placed on four major organellar compartments: cytosol, plasma membrane, endoplasmic reticulum, and mitochondrion. Two-thousand one-hundred eighty-four proteins were securely identified. Four-hundred eighty-one proteins (22.0% of total proteins identified) were found in unique sucrose gradient fractions, suggesting they may have unique subcellular locations. 454 proteins (20.8%) were found to be ubiquitously distributed. The remaining 1249 proteins (57.2%) were consistent with intermediate distribution over multiple, but not all, subcellular locations. Ninety-four proteins implicated in breast cancer and 478 other proteins which share the same five major cellular biological processes with a majority of the breast cancer proteins were observed in 334 and 1223 subcellular locations, respectively. The data obtained is used to evaluate the possibility of defining more exact sets of subcellular organelles, the completeness of current descriptions of spatial distribution of cellular proteins, the importance of multiple subcellular locations for proteins in functional processes, the subcellular distribution of proteins related to breast cancer, and the possibility of using these methods for dynamic spatio/temporal studies of function/regulation in MCF-7 breast cancer cells.
我们将蔗糖密度梯度亚细胞分级与基于定量串联质谱的鸟枪法蛋白质组学相结合,研究 MCF-7 乳腺癌细胞中蛋白质的空间分布。重点放在四个主要的细胞器区室上:细胞质、质膜、内质网和线粒体。鉴定到 2184 种蛋白质。481 种蛋白质(鉴定到的总蛋白质的 22.0%)存在于独特的蔗糖梯度部分,这表明它们可能具有独特的亚细胞位置。454 种蛋白质(20.8%)被发现广泛分布。其余 1249 种蛋白质(57.2%)与多个但不是所有亚细胞位置的中间分布一致。在 334 和 1223 个亚细胞位置分别观察到 94 种与乳腺癌相关的蛋白质和 478 种具有相同五个主要细胞生物学过程的其他蛋白质。获得的数据用于评估定义更精确的亚细胞细胞器集的可能性、当前对细胞蛋白质空间分布描述的完整性、多个亚细胞位置对功能过程中蛋白质的重要性、与乳腺癌相关的蛋白质的亚细胞分布以及这些方法用于 MCF-7 乳腺癌细胞中功能/调节的动态时空研究的可能性。