Inferring gene expression dynamics from reporter protein levels.
Inferring gene expression dynamics from reporter protein levels.
复制标题
从报告蛋白水平推断基因表达动态。
DOI：
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发表时间：
2008
影响因子：
4.7
通讯作者：
C. Phoebe Lostroh
中科院分区：
文献类型：
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作者：
David Brown;C. Phoebe Lostroh
我们提出了一个数学方法来推断基因表达的动态从时间序列的报告蛋白测定和细胞群体。我们表明，估计时间表达动态直接目视检查报告蛋白质数据是不可靠的，当蛋白质的半衰期是可比的表达动态的时间尺度。我们的方法是简单和通用的，因为它的目的只是重建蛋白质合成的模式，而不假设任何特定的调控机制。它可以应用于广泛的细胞类型，表达模式和报告系统，并在公开可用的电子表格中实现。我们表明，我们的方法是强大的几种可能类型的错误，并认为报告蛋白的衰变动力学的不确定性是重建的时间模式的基因表达动态报告蛋白测定的限制因素。随着报告蛋白衰减率的估计的改进，我们的方法可以允许从常用的报告蛋白系统的基因表达动态的详细重建。
We present a mathematical method for inferring the dynamics of gene expression from time series of reporter protein assays and cell populations. We show that estimating temporal expression dynamics from direct visual inspection of reporter protein data is unreliable when the half-life of the protein is comparable to the time scale of the expression dynamics. Our method is simple and general because it is designed only to reconstruct the pattern of protein synthesis, without assuming any specific regulatory mechanisms. It can be applied to a wide range of cell types, patterns of expression, and reporter systems, and is implemented in publicly available spreadsheets. We show that our method is robust to a several possible types of error, and argue that uncertainty about the decay kinetics of reporter proteins is the limiting factor in reconstructing the temporal pattern of gene expression dynamics from reporter protein assays. With improved estimates of reporter protein decay rates, our approach could allow for detailed reconstruction of gene expression dynamics from commonly used reporter protein systems.
影响因子：
56.9
作者：
BACHMAIR, A;FINLEY, D;VARSHAVSKY, A
通讯作者：
VARSHAVSKY, A
影响因子：
10.5
作者：
MECSAS, J;ROUVIERE, PE;GROSS, CA
通讯作者：
GROSS, CA