Literature DB >> 16541077

Stochastic protein expression in individual cells at the single molecule level.

Long Cai1, Nir Friedman, X Sunney Xie.   

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 beta-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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Year:  2006        PMID: 16541077     DOI: 10.1038/nature04599

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  368 in total

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Review 4.  Transcription goes digital.

Authors:  Timothée Lionnet; Robert H Singer
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Journal:  Nat Struct Mol Biol       Date:  2012-07-01       Impact factor: 15.369

9.  Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast.

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10.  Single-Molecule Tracking and Its Application in Biomolecular Binding Detection.

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Journal:  IEEE J Sel Top Quantum Electron       Date:  2016-05-17       Impact factor: 4.544

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