Translation involves interactions between mRNAs, ribosomes, tRNAs and a host of translation factors. Emerging evidence on the eukaryotic translational machinery indicates that these factors are organized in a highly optimized network, in which the levels of the different factors are finely matched to each other. This optimal factor network is essential for producing proteomes that result in optimal fitness, and perturbations to the optimal network that significantly affect translational activity therefore result in non-optimal proteomes, fitness losses and disease. On the other hand, experimental evidence indicates that translation and cell growth are relatively robust to perturbations, and viability can be maintained even upon significant damage to individual translation factors. How the eukaryotic translational machinery is optimized, and how it can maintain optimization in the face of changing internal parameters, are open questions relevant to the interaction between translation and cellular disease states.
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February 2014
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Conference Article|
January 23 2014
The translational machinery is an optimized molecular network that affects cellular homoeostasis and disease
Eleanna Kazana;
Eleanna Kazana
*Kent Fungal Group, School of Biosciences, University of Kent, Canterbury CT2 7NJ, U.K.
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Tobias von der Haar
Tobias von der Haar
1
*Kent Fungal Group, School of Biosciences, University of Kent, Canterbury CT2 7NJ, U.K.
1To whom correspondence should be addressed (emailT.von-der-Haar@kent.ac.uk).
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Biochem Soc Trans (2014) 42 (1): 173–176.
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Received:
July 02 2013
Citation
Eleanna Kazana, Tobias von der Haar; The translational machinery is an optimized molecular network that affects cellular homoeostasis and disease. Biochem Soc Trans 1 February 2014; 42 (1): 173–176. doi: https://doi.org/10.1042/BST20130131
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