Control, exploitation and tolerance of intracellular noise
By Christopher V. Rao, Denise M. Wolf, Adam P. Arkin. Nature, 2002
1,033 citations recorded by the source corpus.
Subfields: Molecular Biology, Plant Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/2f041499f340eea1f23031ca54daad6a179f286d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Wolfram Weckwerth
- James J. Collins
- Albert-László Barabási
- Réka Albert
- Alexander van Oudenaarden
- Zoltn Oltvai
- Jürgen Kurths
- Timothy C. Elston
In Plant Science
- Jürgen Kurths
- Albert-László Barabási
- Oliver Fiehn
- Wolfram Weckwerth
- Réka Albert
- James J. Collins
- Alexander van Oudenaarden
- S. Uchiyama
In Statistical and Nonlinear Physics
- Réka Albert
- Jürgen Kurths
- Albert-László Barabási
- Oliver Fiehn
- Zoltn Oltvai
- Wolfram Weckwerth
- Mark Newman
- Timothy O’Leary
Citations in the corpus
- Stochastic model of yeast cell-cycle network (2006, background): “twork, e.g. adding or deleting links. However, one crucial point left unaddressed in their study is the effect of stochasticity or noise, which inevitably exists in a cell and may play important roles [11]. In this paper, we advance a probabilistic Boolean network [12,13] ∗ Correspondingauthorat: Cen”
- Cellular Decision-Making and Biological Noise: From Microbes to Mammals (2011, background): “Second, the landscape is under the constant influence of omnipresent molecular noise (Kaern et al., 2005; Maheshri and O’Shea, 2007; Rao et al., 2002)—stochastic ‘‘seismic vibrations’’ of varying amplitudes and spectra, specific to each location on the landscape (Figure 1).”
- Observing and Interpreting Correlations in Metabolic Networks (2003, background): “Recently, there has been much interest in fluctuations and stochastic mechanisms within molecular networks (Rao et al., 2002; Thattai and van Oudenaarden, 2001; Morton-Firth and Bray, 1998; McAdams and Arkin, 1997).”
- Robustness and fragility of Boolean models for genetic regulatory networks. (2005, background): “Stochastic models address the deviations from population homogeneity by transforming reaction rates into probabilities and concentrations into numbers of molecules [Rao et al., 2002].”
- Stochasticity in gene expression: from theories to phenotypes (2005, background): “It is a commonly held idea that negative feedback provides a noise-reduction mechanis”
- Phenotypic consequences of promoter-mediated transcriptional noise. (2006, background): “Gene expression variability may also be viewed as a beneficial trait to be exploited for cellular diversity (McAdams and Arkin, 1997; Becskei et al., 2001; Rao et al., 2002; Isaacs et al., 2003; Kramer and Fussenegger, 2005; Weinberger et al., 2005; Guido et al., 2006).”
- Diversity in times of adversity: probabilistic strategies in microbial survival games. (2005, neutral): “Dt is the discretized version of the continuous - time growth rate matrix R 0 i ( shown below ) , derived from the rate equations for the Master Equation tracking Pr ( [ x y ] ¼ [ n m ] ) in environment Ei , where n and m are nonnegative integers : R 0 i ¼ l x ðiÞ À m x ðiÞ À sx sy sx l y ðiÞ À m y ”
- Growth-rate dependent global effects on gene expression in bacteria (2009, background): “…networks, including, e.g., stability of control, robustness of the networks, and stochastic heterogeneity of populations (Elowitz et al., 2002; Rao et al., 2002; Shen-Orr et al., 2002), and have led to the design of synthetic genetic circuits (Andrianantoandro et al., 2006; Atkinson et al.,…”
- Evolutionary conservation of motif constituents in the yeast protein interaction network (2003, background): “gif" NDATA ITEM> ]> Understanding why some cellular components are conserved across species but others evolve rapidly is a key question of modern biolog”
- Neuronal homeostasis: time for a change? (2011, background): “Control mechanisms counteract the perturbations introduced by external disturbances and therefore behave as noise-attenuating filters when the source of the noise is extrinsic (Rao et al. 2002).”