Literature DB >> 24681919

The RNA polymerase flow model of gene transcription.

Shlomit Edri, Eran Gazit, Eyal Cohen, Tamir Tuller.   

Abstract

Gene expression is a fundamental cellular process by which proteins are synthesized based on the information coded in the genes. The two major steps of this process are the transcription of the DNA segment corresponding to a gene to mRNA molecules and the translation of the mRNA molecules to proteins by the ribosome. Thus, understanding, modeling and engineering the different stages of this process have both important biotechnological applications and contributions to basic life science. In previous studies we have introduced the Homogenous Ribosome Flow Model (HRFM) and demonstrated its advantages in analyses of the translation process. In this study we introduce the RNA Polymerase Flow Model (RPFM), a non trivial extension of the HRFM, which also includes a backward flow and can be used for modeling transcription and maybe other similar processes. We compare the HRFM and the RPFM in the three regimes of the transcription process: rate limiting initiation, rate limiting elongation and rate limiting termination via a simulative and analytical analysis. In addition, based on experimental data, we show that RPFM is a better choice for modeling transcription process.

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Year:  2014        PMID: 24681919     DOI: 10.1109/TBCAS.2013.2290063

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  8 in total

1.  Maximizing protein translation rate in the non-homogeneous ribosome flow model: a convex optimization approach.

Authors:  Gilad Poker; Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

2.  A code for transcription elongation speed.

Authors:  Eyal Cohen; Zohar Zafrir; Tamir Tuller
Journal:  RNA Biol       Date:  2017-11-22       Impact factor: 4.652

3.  Ribosome flow model with extended objects.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  J R Soc Interface       Date:  2017-10       Impact factor: 4.118

4.  Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution.

Authors:  Hadas Zur; Tamir Tuller
Journal:  Nucleic Acids Res       Date:  2016-09-02       Impact factor: 16.971

5.  On the Ribosomal Density that Maximizes Protein Translation Rate.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

6.  Sensitivity of mRNA Translation.

Authors:  Gilad Poker; Michael Margaliot; Tamir Tuller
Journal:  Sci Rep       Date:  2015-08-04       Impact factor: 4.379

7.  A deterministic mathematical model for bidirectional excluded flow with Langmuir kinetics.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  PLoS One       Date:  2017-08-23       Impact factor: 3.240

8.  Variability in mRNA translation: a random matrix theory approach.

Authors:  Michael Margaliot; Wasim Huleihel; Tamir Tuller
Journal:  Sci Rep       Date:  2021-03-05       Impact factor: 4.379

  8 in total

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