Accurate prediction of gene feedback circuit behavior from component properties.
about
Bridging the gap: a roadmap to breaking the biological design barrierPrediction by promoter logic in bacterial quorum sensingEvolutionary tradeoffs between economy and effectiveness in biological homeostasis systemsRethinking gene regulatory networks in light of alternative splicing, intrinsically disordered protein domains, and post-translational modificationsModeling cardiac β-adrenergic signaling with normalized-Hill differential equations: comparison with a biochemical model.Using movies to analyse gene circuit dynamics in single cellsEmergent bistability by a growth-modulating positive feedback circuitDiversity-based, model-guided construction of synthetic gene networks with predicted functions.Noise management by molecular networksMeasuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy.Biological 2-input decoder circuit in human cellsKinetic buffering of cross talk between bacterial two-component sensors.Determining biological noise via single cell analysis.Composability of regulatory sequences controlling transcription and translation in Escherichia coliSynthetic feedback control using an RNAi-based gene-regulatory device.Expression optimization and synthetic gene networks in cell-free systems.From analog to digital models of gene regulationNegative autoregulation linearizes the dose-response and suppresses the heterogeneity of gene expression.Measuring the activity of BioBrick promoters using an in vivo reference standardEngineering prokaryotic gene circuitsMiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.Direct observation of single stationary-phase bacteria reveals a surprisingly long period of constant protein production activity.Genetic circuit performance under conditions relevant for industrial bioreactors.Advanced optical imaging in living embryos.Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways.Synthetic in vitro transcriptional oscillators.Optimal parameter values for the control of gene regulation.Investigation of specific interactions between T7 promoter and T7 RNA polymerase by force spectroscopy using atomic force microscope.Revisiting demand rules for gene regulation.
P2860
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P2860
Accurate prediction of gene feedback circuit behavior from component properties.
description
2007 nî lūn-bûn
@nan
2007 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Accurate prediction of gene feedback circuit behavior from component properties.
@ast
Accurate prediction of gene feedback circuit behavior from component properties.
@en
type
label
Accurate prediction of gene feedback circuit behavior from component properties.
@ast
Accurate prediction of gene feedback circuit behavior from component properties.
@en
prefLabel
Accurate prediction of gene feedback circuit behavior from component properties.
@ast
Accurate prediction of gene feedback circuit behavior from component properties.
@en
P2093
P2860
P356
P1476
Accurate prediction of gene feedback circuit behavior from component properties.
@en
P2093
Jonathan W Young
Michael B Elowitz
Nitzan Rosenfeld
P2860
P356
10.1038/MSB4100185
P577
2007-11-13T00:00:00Z