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Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy

Young, Jonathan W. and Locke, James C. W. and Altinok, Alphan and Rosenfeld, Nitzan and Bacarian, Tigran and Swain, Peter S. and Mjolsness, Eric and Elowitz, Michael B. (2012) Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy. Nature Protocols, 7 (1). pp. 80-88. ISSN 1754-2189. PMCID PMC4161363.

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Quantitative single-cell time-lapse microscopy is a powerful method for analyzing gene circuit dynamics and heterogeneous cell behavior. We describe the application of this method to imaging bacteria by using an automated microscopy system. This protocol has been used to analyze sporulation and competence differentiation in Bacillus subtilis, and to quantify gene regulation and its fluctuations in individual Escherichia coli cells. The protocol involves seeding and growing bacteria on small agarose pads and imaging the resulting microcolonies. Images are then reviewed and analyzed using our laboratory's custom MATLAB analysis code, which segments and tracks cells in a frame-to-frame method. This process yields quantitative expression data on cell lineages, which can illustrate dynamic expression profiles and facilitate mathematical models of gene circuits. With fast-growing bacteria, such as E. coli or B. subtilis, image acquisition can be completed in 1 d, with an additional 1–2 d for progressing through the analysis procedure.

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Elowitz, Michael B.0000-0002-1221-0967
Additional Information:© 2011 Nature America, Inc. Published online 15 December 2011. We thank J. Park and additional Elowitz Lab members (former and present) for helpful comments regarding the manuscript. The authors declare no competing financial interests. This research was supported by US National Institutes of Health grant R01GM07977, the National Science Foundation CAREER Award 0644463 and the Packard Foundation. Author Contributions: J.W.Y., J.C.W.L. and M.B.E. wrote and developed the protocol. A.A. helped with developing a website and modifying the Schnitzcells software package for public release. N.R., P.S.S. and M.B.E. were major original developers of Schnitzcells, and T.B. and E.M. optimized the tracking algorithm.
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David and Lucile Packard FoundationUNSPECIFIED
Issue or Number:1
PubMed Central ID:PMC4161363
Record Number:CaltechAUTHORS:20120217-105727788
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Official Citation:Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy - pp80 - 88 Jonathan W Young, James C W Locke, Alphan Altinok, Nitzan Rosenfeld, Tigran Bacarian, Peter S Swain, Eric Mjolsness & Michael B Elowitz doi:10.1038/nprot.2011.432
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:29362
Deposited By: Ruth Sustaita
Deposited On:17 Feb 2012 19:28
Last Modified:03 Oct 2019 03:40

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