Engineering stability in gene networks by autoregulation

By Attila Becskei, Luis Serrano. Nature, 2000

1,563 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2f122b1c4c36d5a22bf1725b36f50c707e3dded4

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

Citations in the corpus

Computational studies of gene regulatory networks: in numero molecular biology (2001, background): “More recently, experimental work with simple synthetic networks has supported these stability prediction”
Negative autoregulation speeds the response times of transcription networks. (2002, background): “Negative autoregulation has been shown to reduce cell-to-cell fluctuations in the steady-state level of the transcription factor.(4) Here, we explore the effect of negative autoregulation on the kinetics of transcription.”
A Synthetic Biology Framework for Programming Eukaryotic Transcription Functions (2012, methodology): “…of circuit behaviors have been implemented, including memory, oscillations, logic operations, ﬁltering, and noise propagation (Basu et al., 2005; Becskei and Serrano, 2000; Elowitz and Leibler, 2000; Friedland et al., 2009; Gardner et al., 2000; Guet et al., 2002; Pedraza and van Oudenaarden,…”
Evolution of networks (2001, background): “, collaboration networks [11, 12, 13, 14, 15], public relations nets [16, 17, 18, 19, 20], citations of scienti®c papers [21, 22, 23, 24, 25, 26, 27], some industrial networks [11, 12, 28], transportation networks [29, 30], nets of relations between enterprises and agents in ®nancial markets [31], t”
Biomolecular computing systems: principles, progress and potential (2012, background): “Similarly, analogue gates can feed back to each other: for example, in order to maintain certain values at a stable setpoint or homeostasis 134 .”
How is pluripotency determined and maintained? (2007, background): “An experimental model in prokaryotic cells has revealed that a simple negative-feedback loop can dramatically stabilize the expression level of a gene (Becskei and Serrano, 2000).”
Regulation of noise in the expression of a single gene (2002, background): “Recently, Becskei and Serrano reported that variation in gene expression could be reduced by autoregulatio”
Stochasticity in gene expression: from theories to phenotypes (2005, background): “and synthetic gene networks that involve negative and positive auto-regulatio”
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).”
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).”