Summing up the noise in gene networks
Web26 May 2012 · Paulsson J (2004) Summing up the noise in gene networks. Nature 427: 415–418. Article Google Scholar Paulsson J (2005) Models of stochastic gene expression. Phys Life Rev 2: 157–175. Article Google Scholar Peccoud J, Ycart B (1995) Markovian modelling of gene-product synthesis. Web19 Jan 2024 · However, how living systems deal with noise while performing desirable biological functions remains a major mystery. Regulatory network congurations, such as their topology and timescale, are shown to be critical in attenuating noise, and noise is also found to facilitate cell fate decision.
Summing up the noise in gene networks
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Web1 Jan 2004 · Abstract. Random fluctuations in genetic networks are inevitable as chemical reactions are probabilistic and many genes, RNAs and proteins are present in low numbers per cell. Such 'noise' affects all life processes and has recently been measured using green fluorescent protein (GFP). Web25 Mar 2005 · The second noise component, the transmitted intrinsic noise (Fig. 3A, blue arrows), includes the transmitted fluctuations of each of the upstream genes in the network and depends on three factors: the intrinsic noise for that upstream gene; the effect of temporal averaging (6, 16), which depends on the lifetimes of the proteins; and the …
WebLocal adaptation and plasticity of growth play important roles in the adaptability of trees to changing conditions. Under accelerating climatic changes, the adaptive capacity of metapopulations can be exceeded, implying a necessity for assisted gene flow to sustain the productivity of forests. Such management is knowledge intensive, and information on … WebDefining Biological Networks for Noise Buffering and Signaling Sensitivity Using Approximate Bayesian Computation. ... “Summing up the noise in gene networks,” Nature, vol. 427, no. 6973, pp. 415–418, ... “Intrinsic noise in gene regulatory networks,” Proceedings of the National Academy of Sciences of the United States of America, ...
Web1 Jun 2000 · A ball (representing the level of gene expression) rolling in a salad bowl (representing the gene network) will ultimately come to rest at the bottom of the bowl. Shaking the bowl (the... Web29 Jan 2004 · Physics Nature Random fluctuations in genetic networks are inevitable as chemical reactions are probabilistic and many genes, RNAs and proteins are present in low numbers per cell. Such ‘noise’ affects all life processes and has recently been measured using green fluorescent protein (GFP).
Web31 Mar 2011 · The steps of the proposed algorithm for the construction of a gene regulatory network with colored noise can be summarized as follows: Step 1: Import target gene and candidate regulatory gene data. Preprocess both datasets, including the estimation of missing data, normalization, and filtering of genes with a flat expression profile
Web31 Mar 2009 · Because essentially all genes are parts of transcriptional networks (), the characteristics of gene expression depend on regulatory motifs present in network topology ().For example, negative autoregulation is abundant in gene regulatory networks and possibly subject to evolutionary selection (16, 18) because of its ability to reduce gene … hard rock casino catoosa hoursWeb23 Nov 2008 · Paulsson, J. Summing up the noise in gene networks. Nature 427, 415–418 (2004). Article CAS Google Scholar ... change icon to pngWeb4 Jan 2008 · We explore for gene circuits that can buffer propagated noise while maintaining signaling sensitivity. We consider a large set of networks that are differentially designed but are equally sensitive to long-term changes in the input, and compare their ability to buffer propagated noise. change icon to single clickWeb1 Apr 2008 · Several lines of evidence (9–13, 17) point to slow transitions between active and inactive promoter states as an important source of noise in gene expression, which is responsible for generating heterogeneity in the response … hard rock casino claremore okWeb1 Aug 2009 · In this paper, we investigate the problem how to establish the robust stability of uncertain gene networks with time-varying delays and noise. Specifically, we consider uncertain gene networks where the regulation occurs at the mRNAs level, and we obtain a sufficient condition for robust stability by Lyapunov method and inequality technique. hard rock casino comedy clubhard rock casino cinnWebSumming up the noise Johan Paulsson Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544-1014 Random fluctuations in genetic networks are inevitable since chemical reactions are probabilistic and many genes, mRNAs and proteins are present in low numbers per cell. Such ‘noise’ affects change icon to trademark