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Tackling Misleading Peptide Regulation Fold Changes in Quantitative Proteomics

机译:解决定量蛋白质组学中误导性的肽法规折叠变化

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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 be nullified by the effects stated above.
机译:蛋白质组学中的相对定量分析是分析生物样品和时间序列实验差异的常用策略。但是,所得倍数变化可能会错误显示所比较样品中所含肽的数量。倍数变化隐藏了肽的实际量。另外,翻译后修饰可以在质谱检测到的覆盖相同蛋白质序列的多个肽上重新分布。为了避免这些影响,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倍数变化的行为,其中较低的肽量更容易受到给定序列段中定量变化的影响。该方法已成功应用于人前列腺癌细胞中生长受体信号转导的时间分辨分析。理论上的肽量显示高肽倍数变化可以容易地通过上述作用消除。

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