Noise in protein expression scales with natural protein abundance

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The technology and biology of single-cell RNA sequencing. (2015, background): “Accounting for the effect of mean expression level on noise is often best done by regressing out the confounding mean and calculating the residual of the squared CV of a gene; that is the difference between the observed squared CV of the gene and its expected squared CV (Bar-Even et al., 2006; Newma”
Cellular Decision-Making and Biological Noise: From Microbes to Mammals (2011, background): “Yeast The budding yeast Saccharomyces cerevisiae was the first organism for which the noise of thousands of fluorescently tagged proteins expressed from their native promoters was measured (Bar-Even et al., 2006; Newman et al., 2006).”
Stochastic gene expression and its consequences (2008, methodology): “However, global studies of noise in yeast (Bar-Even et al., 2006; Newman et al., 2006) have shown that the presence of chromatin-remodeling complexes is neither necessary nor sufficient for the expression of a gene to be noisy; also, factors such as the location and number of transcription factor…”
Stochastic mRNA Synthesis in Mammalian Cells (2006, neutral): “component to the variations in yeast [17,18].”
Modelling and analysis of gene regulatory networks (2008, background): “Stochastic effects can also give rise to evolutionary advantages in a population by creating diversit”