Stochastic gene expression in a single cell.

Michael B Elowitz, Arnold J Levine, Eric D Siggia, Peter S Swain
Author Information
  1. Michael B Elowitz: Laboratory of Cancer Biology, Center for Studies in Physics and Biology, Rockefeller University, New York, NY 10021, USA. elowitm@rockefeller.edu

Abstract

Clonal populations of cells exhibit substantial phenotypic variation. Such heterogeneity can be essential for many biological processes and is conjectured to arise from stochasticity, or noise, in gene expression. We constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated. Both stochasticity inherent in the biochemical process of gene expression (intrinsic noise) and fluctuations in other cellular components (extrinsic noise) contribute substantially to overall variation. Transcription rate, regulatory dynamics, and genetic factors control the amplitude of noise. These results establish a quantitative foundation for modeling noise in genetic networks and reveal how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.

Grants

  1. GM59018/NIGMS NIH HHS

MeSH Term

Bacterial Proteins
Culture Media
Escherichia coli
Escherichia coli Proteins
Fluorescence
Gene Dosage
Gene Expression Regulation, Bacterial
Genes, Bacterial
Genes, Reporter
Green Fluorescent Proteins
Image Processing, Computer-Assisted
Isopropyl Thiogalactoside
Lac Repressors
Luminescent Proteins
Plasmids
Promoter Regions, Genetic
Repressor Proteins
Stochastic Processes
Transcription, Genetic

Chemicals

Bacterial Proteins
Culture Media
Escherichia coli Proteins
Lac Repressors
LacI protein, E coli
Luminescent Proteins
Repressor Proteins
yellow fluorescent protein, Bacteria
Green Fluorescent Proteins
Isopropyl Thiogalactoside

Word Cloud

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