Literature DB >> 24311680

Genetic determinants and cellular constraints in noisy gene expression.

Alvaro Sanchez1, Ido Golding.   

Abstract

In individual cells, transcription is a random process obeying single-molecule kinetics. Often, it occurs in a bursty, intermittent manner. The frequency and size of these bursts affect the magnitude of temporal fluctuations in messenger RNA and protein content within a cell, creating variation or "noise" in gene expression. It is still unclear to what degree transcriptional kinetics are specific to each gene and determined by its promoter sequence. Alternative scenarios have been proposed, in which the kinetics of transcription are governed by cellular constraints and follow universal rules across the genome. Evidence from genome-wide noise studies and from systematic perturbations of promoter sequences suggest that both scenarios-namely gene-specific versus genome-wide regulation of transcription kinetics-may be present to different degrees in bacteria, yeast, and animal cells.

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Year:  2013        PMID: 24311680      PMCID: PMC4045091          DOI: 10.1126/science.1242975

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  40 in total

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Journal:  Curr Opin Genet Dev       Date:  2005-04       Impact factor: 5.578

3.  Real-time kinetics of gene activity in individual bacteria.

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4.  Phenotypic consequences of promoter-mediated transcriptional noise.

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Journal:  Mol Cell       Date:  2006-12-28       Impact factor: 17.970

5.  Noise in protein expression scales with natural protein abundance.

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Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

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8.  Precise developmental gene expression arises from globally stochastic transcriptional activity.

Authors:  Shawn C Little; Mikhail Tikhonov; Thomas Gregor
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9.  Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise.

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Journal:  PLoS Biol       Date:  2006-10       Impact factor: 8.029

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  157 in total

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4.  On the meaning of chance in biology.

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5.  Stochastic tuning of gene expression enables cellular adaptation in the absence of pre-existing regulatory circuitry.

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Review 7.  Using fluctuation analysis to establish causal relations between cellular events without experimental perturbation.

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Journal:  Nat Protoc       Date:  2017-05-18       Impact factor: 13.491

9.  Stochastic Kinetics of Nascent RNA.

Authors:  Heng Xu; Samuel O Skinner; Anna Marie Sokac; Ido Golding
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10.  Fold-Change Detection of NF-κB at Target Genes with Different Transcript Outputs.

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