Single-Molecule Approaches to Stochastic Gene Expression
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van Oudenaarden_Single molecule.pdf
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2.44 MB
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Author(s)
Raj, Arjun
van Oudenaarden, Alexander
Date Issued
February 2009
Journal
Annual Review of Biophysics
Publisher
Annual Reviews
Citation
Raj, Arjun, and Alexander van Oudenaarden. “Single-Molecule Approaches to Stochastic Gene Expression.” Annual Review of Biophysics 38.1 (2009): 255–270. Web.
Version
Author's final manuscript
Abstract
Both the transcription of mRNAs from genes and their subsequent translation into proteins are inherently stochastic biochemical events, and this randomness can lead to substantial cell-to-cell variability in mRNA and protein numbers in otherwise identical cells. Recently, a number of studies have greatly enhanced our understanding of stochastic processes in gene expression by utilizing new methods capable of counting individual mRNAs and proteins in cells. In this review, we examine the insights that these studies have yielded in the field of stochastic gene expression. In particular, we discuss how these studies have played in understanding the properties of bursts in gene expression. We also compare the array of different methods that have arisen for single mRNA and protein detection, highlighting their relative strengths and weaknesses. In conclusion, we point out further areas where single-molecule techniques applied to gene expression may lead to new discoveries.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1146/annurev.biophys.37.032807.125928
