Literature DB >> 15790856

Gene regulation at the single-cell level.

Nitzan Rosenfeld1, Jonathan W Young, Uri Alon, Peter S Swain, Michael B Elowitz.   

Abstract

The quantitative relation between transcription factor concentrations and the rate of protein production from downstream genes is central to the function of genetic networks. Here we show that this relation, which we call the gene regulation function (GRF), fluctuates dynamically in individual living cells, thereby limiting the accuracy with which transcriptional genetic circuits can transfer signals. Using fluorescent reporter genes and fusion proteins, we characterized the bacteriophage lambda promoter P(R) in Escherichia coli. A novel technique based on binomial errors in protein partitioning enabled calibration of in vivo biochemical parameters in molecular units. We found that protein production rates fluctuate over a time scale of about one cell cycle, while intrinsic noise decays rapidly. Thus, biochemical parameters, noise, and slowly varying cellular states together determine the effective single-cell GRF. These results can form a basis for quantitative modeling of natural gene circuits and for design of synthetic ones.

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Year:  2005        PMID: 15790856     DOI: 10.1126/science.1106914

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  416 in total

1.  Robust growth of Escherichia coli.

Authors:  Ping Wang; Lydia Robert; James Pelletier; Wei Lien Dang; Francois Taddei; Andrew Wright; Suckjoon Jun
Journal:  Curr Biol       Date:  2010-05-27       Impact factor: 10.834

Review 2.  The unexpected traits associated with core promoter elements.

Authors:  Rivka Dikstein
Journal:  Transcription       Date:  2011 Sep-Oct

3.  Measuring selection coefficients below 10(-3): method, questions, and prospects.

Authors:  Romain Gallet; Tim F Cooper; Santiago F Elena; Thomas Lenormand
Journal:  Genetics       Date:  2011-10-31       Impact factor: 4.562

4.  Locked nucleic acid and flow cytometry-fluorescence in situ hybridization for the detection of bacterial small noncoding RNAs.

Authors:  Kelly L Robertson; Gary J Vora
Journal:  Appl Environ Microbiol       Date:  2011-11-04       Impact factor: 4.792

5.  Tunable synthetic phenotypic diversification on Waddington's landscape through autonomous signaling.

Authors:  Ryoji Sekine; Masayuki Yamamura; Shotaro Ayukawa; Kana Ishimatsu; Satoru Akama; Masahiro Takinoue; Masami Hagiya; Daisuke Kiga
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-24       Impact factor: 11.205

6.  Quantification of fluorophore copy number from intrinsic fluctuations during fluorescence photobleaching.

Authors:  Chitra R Nayak; Andrew D Rutenberg
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

7.  Stochastic expression dynamics of a transcription factor revealed by single-molecule noise analysis.

Authors:  Zach Hensel; Haidong Feng; Bo Han; Christine Hatem; Jin Wang; Jie Xiao
Journal:  Nat Struct Mol Biol       Date:  2012-07-01       Impact factor: 15.369

Review 8.  The role of physiological heterogeneity in microbial population behavior.

Authors:  Mary E Lidstrom; Michael C Konopka
Journal:  Nat Chem Biol       Date:  2010-09-17       Impact factor: 15.040

Review 9.  Single cell analysis: the new frontier in 'omics'.

Authors:  Daojing Wang; Steven Bodovitz
Journal:  Trends Biotechnol       Date:  2010-04-29       Impact factor: 19.536

10.  Measurement of the copy number of the master quorum-sensing regulator of a bacterial cell.

Authors:  Shu-Wen Teng; Yufang Wang; Kimberly C Tu; Tao Long; Pankaj Mehta; Ned S Wingreen; Bonnie L Bassler; N P Ong
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

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