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Title:
Stochastic protein expression in individual cells at the single molecule level
Authors:
Cai, Long; Friedman, Nir; Xie, X. Sunney
Affiliation:
AA(Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA), AB(Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA), AC(Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA)
Publication:
Nature, Volume 440, Issue 7082, pp. 358-362 (2006). (Nature Homepage)
Publication Date:
03/2006
Origin:
NATURE
Abstract Copyright:
(c) 2006: Nature
DOI:
10.1038/nature04599
Bibliographic Code:
2006Natur.440..358C

Abstract

In a living cell, gene expression-the transcription of DNA to messenger RNA followed by translation to protein-occurs stochastically, as a consequence of the low copy number of DNA and mRNA molecules involved. These stochastic events of protein production are difficult to observe directly with measurements on large ensembles of cells owing to lack of synchronization among cells. Measurements so far on single cells lack the sensitivity to resolve individual events of protein production. Here we demonstrate a microfluidic-based assay that allows real-time observation of the expression of β-galactosidase in living Escherichia coli cells with single molecule sensitivity. We observe that protein production occurs in bursts, with the number of molecules per burst following an exponential distribution. We show that the two key parameters of protein expression-the burst size and frequency-can be either determined directly from real-time monitoring of protein production or extracted from a measurement of the steady-state copy number distribution in a population of cells. Application of this assay to probe gene expression in individual budding yeast and mouse embryonic stem cells demonstrates its generality. Many important proteins are expressed at low levels, and are thus inaccessible by current genomic and proteomic techniques. This microfluidic single cell assay opens up possibilities for system-wide characterization of the expression of these low copy number proteins.
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