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Considering that TATA genes are associated with positive translational features we would expect these highly transcribed genes to be efficiently translated.
Indeed, it has been demonstrated that codon choice affects expression level, protein folding, translational accuracy, and other translational features (Akashi, 1994; Parmley and Hurst, 2007; Zhou et al., 2009; Hudson et al., 2011).
To examine further the relationship between mRNA levels and translational features observed for mouse genes, we similarly analyzed human gene expression data that was downloaded from the gene expression atlas SymAtlas v1.2.3.
The link between transcriptional and translational features is not limited to the TATA gene class as analysis of structural organization and functional features of mammalian genes bearing or lacking uAUG, revealed close association with mRNA levels and transcriptional rate as well as other translation regulatory traits that display the same trend.
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This finding indicates different characteristics for the distributions of the rotational and translational feature values.
We also characterized post-translational features in the Salmonella genome, including chemical modifications and proteolytic cleavages.
We also characterized post-translational features in the STM 14028 genome, including chemical modifications and proteolytic cleavages.
We experimentally annotated the bacterial pathogen Salmonella Typhimurium 14028, using "shotgun" proteomics to accurately uncover the translational landscape and post-translational features.
Collectively, our data show that conserved post-translational features of circadian rhythms in eukaryotes are also a feature of YROs in an organism not known for 24-hr periodicity and that YROs are not merely a function of the CDC.
Low resolution liquid chromatography (LC -MS/MS datasets were empLC -MS/MSexperimentally validatasetse annotations and high resolution LC-MS/MS datasets were employed to accuratexperimentallyost-translational features as described below.
In this study, we employed a bottom-up proteomics approach supplemented with a recently described de novo sequencing methodology using high resolution and high mass measurement accuracy MS/MS data [ 18, 19] to accurately uncover the translational landscape and post-translational features of the bacterial pathogen Salmonella enterica serovar Typhimurium (STM) 14028.
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