Analytical distributions for stochastic gene expression.
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Using gene expression noise to understand gene regulationSingle-molecule enzymology à la Michaelis-MentenSingle molecule fluorescence approaches shed light on intracellular RNAsProtein expression analyses at the single cell levelNoise contributions in an inducible genetic switch: a whole-cell simulation studyTemperature control of fimbriation circuit switch in uropathogenic Escherichia coli: quantitative analysis via automated model abstractionEffect of promoter architecture on the cell-to-cell variability in gene expressionStochastic de-repression of Rhodopsins in single photoreceptors of the fly retinaChemical memory reactions induced bursting dynamics in gene expressionSlow protein fluctuations explain the emergence of growth phenotypes and persistence in clonal bacterial populationsThe fidelity of dynamic signaling by noisy biomolecular networksQuantifying intrinsic and extrinsic variability in stochastic gene expression modelsA computational framework for analyzing stochasticity in gene expressionThe Impact of Different Sources of Fluctuations on Mutual Information in Biochemical NetworksInference for Stochastic Chemical Kinetics Using Moment Equations and System Size ExpansionCERENA: ChEmical REaction Network Analyzer--A Toolbox for the Simulation and Analysis of Stochastic Chemical KineticsEffects of cell-cycle-dependent expression on random fluctuations in protein levelsNoise in biologyInformation transduction capacity of noisy biochemical signaling networksIntraclonal protein expression heterogeneity in recombinant CHO cellsMarkov State Models of gene regulatory networksQuantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single CellsStochastic holin expression can account for lysis time variation in the bacteriophage λ.Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing dataBeta-Poisson model for single-cell RNA-seq data analyses.Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamicsOn the spontaneous stochastic dynamics of a single gene: complexity of the molecular interplay at the promoter.Processivity and coupling in messenger RNA transcription.Stochastic signaling in biochemical cascades and genetic systems in genetically engineered living cells.Effect of transcription factor resource sharing on gene expression noisePhenotypic switching in gene regulatory networksMeasuring mRNA copy number in individual Escherichia coli cells using single-molecule fluorescent in situ hybridization.Protein degradation rate is the dominant mechanism accounting for the differences in protein abundance of basal p53 in a human breast and colorectal cancer cell lineNoise regulation by quorum sensing in low mRNA copy number systems.The role of incoherent microRNA-mediated feedforward loops in noise buffering.Theoretical basis of the community effect in development.Dynamic heterogeneity and DNA methylation in embryonic stem cells.Bistability versus bimodal distributions in gene regulatory processes from population balance.The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions.
P2860
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P2860
Analytical distributions for stochastic gene expression.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Analytical distributions for stochastic gene expression.
@en
type
label
Analytical distributions for stochastic gene expression.
@en
prefLabel
Analytical distributions for stochastic gene expression.
@en
P2860
P356
P1476
Analytical distributions for stochastic gene expression.
@en
P2093
Vahid Shahrezaei
P2860
P304
17256-17261
P356
10.1073/PNAS.0803850105
P407
P577
2008-11-06T00:00:00Z