Stochasticity in gene expression: from theories to phenotypes
By Mads Kærn, Timothy C. Elston, William J. Blake, James J. Collins. Nature reviews genetics, 2005
2,406 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/47c8134ae039f117f3f8aca2e6b52385b9c7d0f6
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
- Paul C. Bressloff
- Alexander van Oudenaarden
- Johan Paulsson
- James J. Collins
- Matthias Heinemann
- Sven Panke
- G. Balázsi
- Michael Hecker
Citations in the corpus
- MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. (2007, background): “Since other processes in gene expression, such as mRNA degradation and protein translation, are also stochastic in nature, protein levels in turn may fluctuate considerably over time (Kaern et al., 2005).”
- Analytical distributions for stochastic gene expression (2008, neutral): “u(v) bv 1 − bv [5]”
- What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology (2009, background): “for a review of the physics of biological fluctuations at the molecular level and”
- Stochastic switching in biology: from genotype to phenotype (2017, background): “Following the discovery of a functional role for stochastic gene expression in λ-phage [14], there has been an explosion of studies on the molecular mechanisms of noise generation at the single gene level, and its effects on larger regulatory networks, see the reviews [145, 173, 202, 211, 220, 241].”
- Fokker–Planck approximation of the master equation in molecular biology (2009, background): “…Uppsala University, P.O. Box 337, 75105 Uppsala, Sweden e-mail: perl@it.uu.se J. Elf Department of Cell and Molecular Biology, Uppsala University, P.O. Box 596, 751 24 Uppsala, Sweden Present Address: J. Elf Department of Chemistry and Biology, Harvard University, Cambridge, MA 02138, USA”
- The biophysics of neuronal growth (2010, background): “During neuronal development, stochasticity controls numerous intra- and extracellular processes such as biochemical reactions in small subcellular structures and the pattern of weak external signals [131, 134].”
- SINGLE-PARTICLE TRACKING (2009, neutral): “tistical noise [24–27].”
- Multidrug tolerance of biofilms and persister cells. (2008, background): “Stochastic phenomena have been described for a large number of functions, both in bacteria (Avery 2006; Dubnau and Losick 2006) and in eukaryotes (Kaern et al. 2005).”
- Evolutionary game theory: Theoretical concepts and applications to microbial communities (2010, background): “Due to uctuations in transcription and translation, phenotypes vary even in the absence of genetic dierences between individuals and despite constant environmental conditions [47, 48 ].”
- Partial differential equations for self-organization in cellular and developmental biology (2008, background): “Noise is observed to be present in general with two types of source: (i) intrinsic variability caused by, for example, fluctuations in promoter activation and deactivation, mRNA and protein production and decay; (ii) extrinsic variability, defined as ‘fluctuations and population variability in the r”
- Gene regulatory network inference: Data integration in dynamic models - A review (2009, background): “…that are thought to take into account the stochasticity of gene expression, which might occur especially when the number of TF molecules is low (Kaern et al., 2005 w i,j · x j + b i · u, i = 1, . . . , N (2) can be applied to describe the gene expression kinetics x i (t) of N genes by N × (N +…”