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A Comprehensive, Quantitative, and Genome-Wide Model of Translation

Siwiak, Marlena and Zielenkiewicz, Piotr (2010) A Comprehensive, Quantitative, and Genome-Wide Model of Translation. Plos Computational Biology, 6 (7).

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Official URL: http://www.ploscompbiol.org/article/info:doi/10.13...


Translation is still poorly characterised at the level of individual proteins and its role in regulation of gene expression has been constantly underestimated. To better understand the process of protein synthesis we developed a comprehensive and quantitative model of translation, characterising protein synthesis separately for individual genes. The main advantage of the model is that basing it on only a few datasets and general assumptions allows the calculation of many important translational parameters, which are extremely difficult to measure experimentally. In the model, each gene is attributed with a set of translational parameters, namely the absolute number of transcripts, ribosome density, mean codon translation time, total transcript translation time, total time required for translation initiation and elongation, translation initiation rate, mean mRNA lifetime, and absolute number of proteins produced by gene transcripts. Most parameters were calculated based on only one experimental dataset of genome-wide ribosome profiling. The model was implemented in Saccharomyces cerevisiae, and its results were compared with available data, yielding reasonably good correlations. The calculated coefficients were used to perform a global analysis of translation in yeast, revealing some interesting aspects of the process. We have shown that two commonly used measures of translation efficiency – ribosome density and number of protein molecules produced – are affected by two distinct factors. High values of both measures are caused, i.a., by very short times of translation initiation, however, the origins of initiation time reduction are completely different in both cases. The model is universal and can be applied to any organism, if the necessary input data are available. The model allows us to better integrate transcriptomic and proteomic data. A few other possibilities of the model utilisation are discussed concerning the example of the yeast system.

Item Type:Article
Uncontrolled Keywords:translation time, computational model, post-transcriptional regulation, protein abundance, ribosome density
Subjects:Q Science > QH Natural history > QH301 Biology
Divisions:Department of Bioinformatics
ID Code:19
Deposited By: Msc Marlena Siwiak
Deposited On:12 Aug 2010 06:40
Last Modified:17 Oct 2014 13:09

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