Intrinsic noise in gene regulatory networks
By Mukund Thattai, Alexander van Oudenaarden. Proceedings of the National Academy of Sciences of the United States of America, 2001
1,503 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6f15ec5d98e629a4dcbd95e0c4ca0c92c717fdb3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Alexander van Oudenaarden
- Arjun Raj
- Paul C. Bressloff
- Johan Paulsson
- Wolfram Weckwerth
- David A. Rand
- Michał Komorowski
- Michael R. H. White
In Molecular Biology
- Alexander van Oudenaarden
- Arjun Raj
- Johan Paulsson
- Paul C. Bressloff
- Wolfram Weckwerth
- Charles S. Peskin
- S. Tyagi
- Daniel Tranchina
Citations in the corpus
- Systems biology of stem cell fate and cellular reprogramming (2009, background): “In addition, they use regulatory network motifs, such as negative feedback loops, to modulate the levels of nois”
- Real-time kinetics of gene activity in individual bacteria. (2005, background): “*Contact: igolding@princeton.edu (I.G.); ecox@princeton.edu (E.C.C.) DOI 10.1016/j.cell.2005.09.031”
- Mining gene expression databases for association rules (2003, background): “However, while in market basket analysis any particular item is either purchased or not purchased in a transaction, in an expression profile each transcript or protein is assigned a real value that specifies the relative abundance of that transcript or protein in the profiled sample.”
- Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations. (2001, neutral): “11., verifying the validity of these approximations.”
- Stochastic switching in biology: from genotype to phenotype (2017, background): “One of the simplest examples of a gene network with regulatory feedback is autoregulation, in which a gene is directly regulated by its own gene product [235], see figure 8.”
- Regulation of noise in the expression of a single gene (2002, background): “3 a ) predicts that the noise strength (σ p 2 /〈 p 〉) is greater than Poissonian (σ p 2 /〈 p 〉 = 1) and is simply an increasing function of translational efficiency”
- Stochastic gene expression and its consequences (2008, background): “…the effects of noise because fluctuations above and below the mean are pushed back toward the mean, as has been predicted theoretically (Savageau, 1974; Thattai and van Oudenaarden, 2001) and demonstrated experimentally (Austin et al., 2006; Becskei and Serrano, 2000; Dublanche et al., 2006).”