A synthetic oscillatory network of transcriptional regulators
By Michael B. Elowitz, Stanislas Leibler. Nature, 2000
4,743 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/62d9adedeb1855676b9d48075fa2ab9b478c506a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Hidde de Jong
- James J. Collins
- Adam P. Arkin
- Richard M. Murray
- Kazuyuki Aihara
- Luonan Chen
- Jürgen Kurths
- Alvis Brazma
In Molecular Biology
- James J. Collins
- Alexander van Oudenaarden
- Yaakov Benenson
- Johan Paulsson
- Réka Albert
- Arjun Raj
- Christopher A. Voigt
- Peter S. Swain
In Plant Science
- Hidde de Jong
- James J. Collins
- Adam P. Arkin
- Richard M. Murray
- Kazuyuki Aihara
- Luonan Chen
- Jürgen Kurths
- Alvis Brazma
Citations in the corpus
- Growth-rate dependent global effects on gene expression in bacteria (2009, background): “…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., 2003; Elowitz and Leibler, 2000; Gardner et al., 2000; Guido et al., 2006).”
- Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. (2003, background): “Using similar theoretical ideas about negative feedback oscillators, Elowitz and Leibler [50] designed an artificial genetic network consisting of three operons that repress one another in a loop.”
- Qualitative simulation of genetic regulatory networks using piecewise-linear models (2004, methodology): “…aspects of the qualitative dynamics of genetic regulatory networks synthesized in vivo correspond well with the predictions obtained from mathematical models based on switch-like approximations of regulatory interactions (Becskei and Serrano, 2000; Elowitz and Leibler, 2000; Gardner et al ., 2000).”
- Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (2017, methodology): “As stated in [3], the discrete nature of the molecular components and the stochastic character of their interactions play important roles in biochemical and genetic networks.”
- Computational approaches to cellular rhythms (2002, background): “The two types of phenomena have recently been demonstrated in synthetic genetic networks reconstituted in bacteria (ref”
- A new approach to decoding life: systems biology. (2001, methodology): “coli, Synthesis of a multigene network (12, 40) circadian oscillators Drosophila, in vivo using a computer model Neurospora, as blueprint mice”