Literature DB >> 18352052

Effects of protein maturation on the noise in gene expression.

Guang Qiang Dong1, David R McMillen.   

Abstract

Fluorescent proteins are frequently used as reporters for gene expression in living cells, either by being expressed in tandem with a protein of interest or through the creation of fusion proteins. The data yielded by the fluorescence output are of considerable interest in efforts to formulate quantitative models of cellular behavior underway in fields such as systems biology and synthetic biology. An often neglected aspect of these proteins, however, is their maturation: Before a fluorescent protein can generate a fluorescent signal, it must mature through a series of steps (folding, cyclization, and oxidation) that may take from many minutes to over a day. The presence of these maturation steps creates a distinction between the observed gene expression profile and the actual profile. We examine this effect through a simplified gene expression model and conclude that fluorescent protein maturation can have significant effects on estimates of both the mean protein levels and the variability in gene expression. The model shows that in many regimes, the observed variability will be increased by the maturation process, but indicates the existence of regimes in which the observed variability will actually be less than the true variability of the target protein. The latter effect arises from a low-pass filtering effect introduced by the chain of maturation reactions. The results suggest that the maturation of fluorescent proteins should be taken into account when using such proteins as quantitative indicators of gene expression levels.

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Year:  2008        PMID: 18352052     DOI: 10.1103/PhysRevE.77.021908

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Using a single fluorescent reporter gene to infer half-life of extrinsic noise and other parameters of gene expression.

Authors:  Michał Komorowski; Bärbel Finkenstädt; David Rand
Journal:  Biophys J       Date:  2010-06-16       Impact factor: 4.033

2.  Quantitative comparison of different fluorescent protein couples for fast FRET-FLIM acquisition.

Authors:  Sergi Padilla-Parra; Nicolas Audugé; Hervé Lalucque; Jean-Claude Mevel; Maïté Coppey-Moisan; Marc Tramier
Journal:  Biophys J       Date:  2009-10-21       Impact factor: 4.033

3.  Decomposing noise in biochemical signaling systems highlights the role of protein degradation.

Authors:  Michał Komorowski; Jacek Miękisz; Michael P H Stumpf
Journal:  Biophys J       Date:  2013-04-16       Impact factor: 4.033

4.  Distribution of Initiation Times Reveals Mechanisms of Transcriptional Regulation in Single Cells.

Authors:  Sandeep Choubey; Jane Kondev; Alvaro Sanchez
Journal:  Biophys J       Date:  2018-05-08       Impact factor: 4.033

Review 5.  Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics.

Authors:  Brian Munsky; Zachary Fox; Gregor Neuert
Journal:  Methods       Date:  2015-06-12       Impact factor: 3.608

Review 6.  A single molecule view of gene expression.

Authors:  Daniel R Larson; Robert H Singer; Daniel Zenklusen
Journal:  Trends Cell Biol       Date:  2009-10-08       Impact factor: 20.808

7.  Systematic In Vivo Characterization of Fluorescent Protein Maturation in Budding Yeast.

Authors:  Paolo Guerra; Luc-Alban Vuillemenot; Brady Rae; Valeriia Ladyhina; Andreas Milias-Argeitis
Journal:  ACS Synth Biol       Date:  2022-02-18       Impact factor: 5.110

8.  Deciphering Transcriptional Dynamics In Vivo by Counting Nascent RNA Molecules.

Authors:  Sandeep Choubey; Jane Kondev; Alvaro Sanchez
Journal:  PLoS Comput Biol       Date:  2015-11-06       Impact factor: 4.475

  8 in total

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