Literature DB >> 20537588

Dynamical effects of transcriptional pause-prone sites.

Andre S Ribeiro1, Antti Häkkinen, Shannon Healy, Olli Yli-Harja.   

Abstract

We study how long pause-prone sites, commonly sequence-dependent, affect transcription and RNA temporal levels in a delayed stochastic model of transcription at the single nucleotide level. We vary pause propensity, duration and the probability of premature termination of elongation at the pause site. We also study the effects of multiple pause sites. We show that pause sites can be used to fine-tune noise strength and burst size distribution of RNA levels. Varying pause rate and duration alone affects bursting but noise is not significantly affected. Noise strength can be changed by varying both parameters and, even more pronouncedly, by varying the probability of premature termination. Adding multiple pause sites amplifies the increase in noise and bursting. This regulatory mechanism of noise and bursting, being evolvable, may partially explain how different genes exhibit a wide spectrum of different behaviors. The results might assist the engineering of genes with a desired degree of noise. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20537588     DOI: 10.1016/j.compbiolchem.2010.04.003

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  7 in total

1.  Effects of mRNA Degradation and Site-Specific Transcriptional Pausing on Protein Expression Noise.

Authors:  Sangjin Kim; Christine Jacobs-Wagner
Journal:  Biophys J       Date:  2018-04-10       Impact factor: 4.033

2.  Stochastic sequence-level model of coupled transcription and translation in prokaryotes.

Authors:  Jarno Mäkelä; Jason Lloyd-Price; Olli Yli-Harja; Andre S Ribeiro
Journal:  BMC Bioinformatics       Date:  2011-04-26       Impact factor: 3.169

3.  Essential gene disruptions reveal complex relationships between phenotypic robustness, pleiotropy, and fitness.

Authors:  Christopher R Bauer; Shuang Li; Mark L Siegal
Journal:  Mol Syst Biol       Date:  2015-01-21       Impact factor: 11.429

4.  Identifying chromatin features that regulate gene expression distribution.

Authors:  Thanutra Zhang; Robert Foreman; Roy Wollman
Journal:  Sci Rep       Date:  2020-11-25       Impact factor: 4.379

5.  Timing RNA polymerase pausing with TV-PRO-seq.

Authors:  Jie Zhang; Massimo Cavallaro; Daniel Hebenstreit
Journal:  Cell Rep Methods       Date:  2021-10-25

Review 6.  Interplay between gene expression noise and regulatory network architecture.

Authors:  Guilhem Chalancon; Charles N J Ravarani; S Balaji; Alfonso Martinez-Arias; L Aravind; Raja Jothi; M Madan Babu
Journal:  Trends Genet       Date:  2012-02-25       Impact factor: 11.639

7.  Detecting sequence dependent transcriptional pauses from RNA and protein number time series.

Authors:  Frank Emmert-Streib; Antti Häkkinen; Andre S Ribeiro
Journal:  BMC Bioinformatics       Date:  2012-06-28       Impact factor: 3.169

  7 in total

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