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Tackling Misleading Peptide Regulation Fold Changes in Quantitative Proteomics

机译:解决误导性肽调节折叠定量蛋白质组学的变化

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Relative quantification in proteomics is a common strategy to analyze differences in biological samples and time series experiments. However, the resulting fold changes can give a wrong picture of the peptide amounts contained in the compared samples. Fold changes hide the actual amounts of peptides. In addition posttranslational modifications can redistribute over multiple peptides, covering the same protein sequence, detected by mass spectrometry. To circumvent these effects, a method was established to estimate the involved peptide amounts. The estimation of the theoretical peptide amount is based on the behavior of the peptide fold changes, in which lower peptide amounts are more susceptible to quantitative changes in a given sequence segment. This method was successfully applied to a time-resolved analysis of growth receptor signaling in human prostate cancer cells. The theoretical peptide amounts show that high peptide fold changes can easily he nullified by the effects stated above.
机译:蛋白质组学中的相对定量是分析生物样品和时间序列实验差异的常见策略。然而,得到的折叠变化可以给出比较样品中包含的肽量的错误图像。折叠变化隐藏实际肽量。此外,产后修饰可以通过多种肽重新分布,覆盖由质谱法检测的相同蛋白质序列。为了规避这些效果,建立了一种方法来估计所涉及的肽量。理论肽量的估计基于肽折叠变化的行为,其中较低的肽量更容易受到给定序列区段中的定量变化的影响。该方法成功地应用于人前列腺癌细胞中生长受体信号传导的时间分辨分析。理论肽量表明,高肽折叠变化可以容易地通过上述效果无效。

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