The correlation between cellular size and protein expression levels - Normalization for global protein profiling
The correlation between cellular size and protein expression levels - Normalization for global protein profiling
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DOI：
10.1016/j.jprot.2008.06.014
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发表时间：
2008-10-07
影响因子：
3.3
通讯作者：
Asplund, Anna
中科院分区：
文献类型：
--
作者：
Lundberg, Emma;Gry, Marcus;Asplund, Anna
应用细胞微阵列和免疫组织化学方法，利用自动图像分析系统对47个癌细胞系和12个临床细胞样本中的1862种人类蛋白质进行了定量。分析表明，大多数蛋白质的表达依赖于细胞大小，比较蛋白质的定量需要标准化，以纠正细胞大小的固有偏差和与免疫组织化学相关的系统模糊性。评估了两个参考标准，发现标准化的蛋白质表达值允许跨一组形态不同的细胞进行蛋白质谱分析，揭示了过度表达和低表达的假定模式。利用这种方法，我们鉴定了稳定表达的蛋白质以及细胞系特异性表达的蛋白质。这些结果证明了利用免疫组织化学进行大规模、自动化的蛋白质组分析在揭示功能相关性和建立解释和挖掘蛋白质组数据的方法方面的价值。(C)2008爱思唯尔B.V.保留所有权利。
An automated image analysis system was used for protein quantification of 1862 human proteins in 47 cancer cell lines and 12 clinical cell samples using cell microarrays and immunohistochemistry. The analysis suggests that most proteins are expressed in a cell size dependent manner, and that normalization is required for comparative protein quantification in order to correct for the inherent bias of cell size and systematic ambiguities associated with immunohistochemistry. Two reference standards were evaluated, and normalized protein expression values were found to allow for protein profiling across a panel of morphologically diverse cells, revealing putative patterns of over- and underexpression. Using this approach, proteins with stable expression as well as cell-line specific expression were identified. The results demonstrate the value of large-scale, automated proteome analysis using immunohistochemistry in revealing functional correlations and establishing methods to interpret and mine proteomic data. (C) 2008 Elsevier B.V. All rights reserved.