Noise in eukaryotic gene expression

By William J. Blake, Mads Kærn, C. Cantor, James J. Collins. Nature, 2003

1,688 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dfc22d8aa363267108b417c329fabcaad595c27f

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Citations in the corpus

Stochastic gene expression and its consequences (2008, background): “Almost immediately, several reports seemed to indicate that the sources of variability in gene expression in yeast are different from those in bacteria in a number of important ways (Becskei et al., 2005; Blake et al., 2006; Blake et al., 2003; Raser and O'Shea, 2004).”
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise (2006, methodology): “As suggested by Blake et al. 23 and Raser et al. 35 , high noise is likely to be due, at least in part, to the introduction of a slow step into the production of mRNA, making the process more prone to bursts.”
Stochastic approaches for modelling in vivo reactions (2004, methodology): “Indeed, these intrinsic fluctuations have recently been measured using fluorescent probes (see, for example, Elowitz et al., 2002; Blake et al., 2003).”
Functionality or transcriptional noise? Evidence for selection within long noncoding RNAs. (2007, background): “Studies have demonstrated distinct spatiotemporal expression patterns for ncRNAs, implying that the phenomenon of transcriptional noise, although plausible, is rare (Blake et al. 2003; Ravasi et al. 2006).”
Analytical distributions for stochastic gene expression (2008, background): “Gene expression in both prokaryotes and eukaryotes is inherently stochastic [1, 2, 3, 4].”
The second wave of synthetic biology: from modules to systems (2009, background): “The stochastic nature of biochemical reactions, even at the level of a single gene, can induce significant intrinsic genetic nois”
Enhancing the Prioritization of Disease-Causing Genes through Tissue Specific Protein Interaction Networks (2012, background): “However, expression data is often noisy [45,51] so there is a chance that a gene not passing this cutoff is still expressed (we assume that if a gene passes the threshold then it is indeed expressed in the given tissue).”
Gene function beyond the single trait: natural variation, gene effects, and evolutionary ecology in Arabidopsis thaliana (2005, background): “Chance plays a role in the effect of a gene in any instantiation of the genotype, even at the scale of transcript number per cell (Blake et al .”
Phenotypic consequences of promoter-mediated transcriptional noise. (2006, methodology): “Indeed, recent experimental work (Blake et al., 2003; Raser and O'Shea, 2004; Becskei et al., 2005) has suggested that variation in the rates of transition between different states of promoter activity may play an important role in determining the level of stochasticity in gene expression in S.…”
Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology (2007, background): “Much of it consists of stochastic variation in gene expression and expression regulation [1–6].”