Literature DB >> 21888920

Stochastic theory of protein synthesis and polysome: ribosome profile on a single mRNA transcript.

Ajeet K Sharma1, Debashish Chowdhury.   

Abstract

The process of polymerizing a protein by a ribosome, using a messenger RNA (mRNA) as the corresponding template, is called translation. Ribosome may be regarded as a molecular motor for which the mRNA template serves also as the track. Often several ribosomes may translate the same (mRNA) simultaneously. The ribosomes bound simultaneously to a single mRNA transcript are the members of a polyribosome (or, simply, polysome). Experimentally measured polysome profile gives the distribution of polysome sizes. Recently a breakthrough in determining the instantaneous positions of the ribosomes on a given mRNA track has been achieved and the technique is called ribosome profiling (Ingolia et al., 2009; Guo et al., 2010). Motivated by the success of these techniques, we have studied the spatio-temporal organization of ribosomes by extending a theoretical model that we have reported elsewhere (Sharma and Chowdhury, 2011). This extended version of our model incorporates not only (i) mechano-chemical cycle of individual ribomes, and (ii) their steric interactions, but also (iii) the effects of (a) kinetic proofreading, (b) translational infidelity, (c) ribosome recycling, and (d) sequence inhomogeneities. The theoretical framework developed here will serve in guiding further experiments and in analyzing the data to gain deep insight into various kinetic processes involved in translation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21888920     DOI: 10.1016/j.jtbi.2011.08.023

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  11 in total

1.  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

2.  Large-scale mRNA translation and the intricate effects of competition for the finite pool of ribosomes.

Authors:  Aditi Jain; Michael Margaliot; Arvind Kumar Gupta
Journal:  J R Soc Interface       Date:  2022-03-09       Impact factor: 4.118

3.  Combinations of slow-translating codon clusters can increase mRNA half-life in Saccharomyces cerevisiae.

Authors:  Ajeet K Sharma; Johannes Venezian; Ayala Shiber; Günter Kramer; Bernd Bukau; Edward P O'Brien
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-21       Impact factor: 12.779

Review 4.  Computational studies of molecular machines: the ribosome.

Authors:  Karissa Y Sanbonmatsu
Journal:  Curr Opin Struct Biol       Date:  2012-02-13       Impact factor: 6.809

5.  Gene length as a regulator for ribosome recruitment and protein synthesis: theoretical insights.

Authors:  Lucas D Fernandes; Alessandro P S de Moura; Luca Ciandrini
Journal:  Sci Rep       Date:  2017-12-12       Impact factor: 4.379

6.  Ribosome traffic on mRNAs maps to gene ontology: genome-wide quantification of translation initiation rates and polysome size regulation.

Authors:  Luca Ciandrini; Ian Stansfield; M Carmen Romano
Journal:  PLoS Comput Biol       Date:  2013-01-31       Impact factor: 4.475

7.  A genome-scale integration and analysis of Lactococcus lactis translation data.

Authors:  Julien Racle; Flora Picard; Laurence Girbal; Muriel Cocaign-Bousquet; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2013-10-10       Impact factor: 4.475

8.  Entrainment to periodic initiation and transition rates in a computational model for gene translation.

Authors:  Michael Margaliot; Eduardo D Sontag; Tamir Tuller
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

9.  mRNA translation and protein synthesis: an analysis of different modelling methodologies and a new PBN based approach.

Authors:  Yun-Bo Zhao; J Krishnan
Journal:  BMC Syst Biol       Date:  2014-02-27

10.  Ribosome recycling induces optimal translation rate at low ribosomal availability.

Authors:  E Marshall; I Stansfield; M C Romano
Journal:  J R Soc Interface       Date:  2014-09-06       Impact factor: 4.118

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