Translation factor and RNA binding protein mRNA interactomes support broader RNA regulons for posttranscriptional control.
Translation factor and RNA binding protein mRNA interactomes support broader RNA regulons for posttranscriptional control.
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翻译因子和RNA结合蛋白mRNA相互作用组支持更广泛的RNA调节,用于转录后控制。
DOI:
10.1016/j.jbc.2023.105195
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发表时间:
2023-10
影响因子:
4.8
通讯作者:
Ashe, Mark P.
中科院分区:
文献类型:
--
作者:
Kershaw, Christopher J.;Nelson, Michael G.;Castelli, Lydia M.;Jennings, Martin D.;Lui, Jennifer;Talavera, David;Grant, Chris M.;Pavitt, Graham D.;Hubbard, Simon J.;Ashe, Mark P.
The regulation of translation provides a rapid and direct mechanism to modulate the cellular proteome. In eukaryotes, an established model for the recruitment of ribosomes to mRNA depends upon a set of conserved translation initiation factors. Nevertheless, how cells orchestrate and define the selection of individual mRNAs for translation, as opposed to other potential cytosolic fates, is poorly understood. We have previously found significant variation in the interaction between individual mRNAs and an array of translation initiation factors. Indeed, mRNAs can be separated into different classes based upon these interactions to provide a framework for understanding different modes of translation initiation. Here, we extend this approach to include new mRNA interaction profiles for additional proteins involved in shaping the cytoplasmic fate of mRNAs. This work defines a set of seven mRNA clusters, based on their interaction profiles with 12 factors involved in translation and/or RNA binding. The mRNA clusters share both physical and functional characteristics to provide a rationale for the interaction profiles. Moreover, a comparison with mRNA interaction profiles from a host of RNA binding proteins suggests that there are defined patterns in the interactions of functionally related mRNAs. Therefore, this work defines global cytoplasmic mRNA binding modules that likely coordinate the synthesis of functionally related proteins.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
4.5
作者:
Kershaw CJ;Costello JL;Castelli LM;Talavera D;Rowe W;Sims PF;Ashe MP;Hubbard SJ;Pavitt GD;Grant CM
通讯作者:
Grant CM
影响因子:
12.3
作者:
Castel SE;Levy-Moonshine A;Mohammadi P;Banks E;Lappalainen T
通讯作者:
Lappalainen T
影响因子:
12.3
作者:
Costello JL;Kershaw CJ;Castelli LM;Talavera D;Rowe W;Sims PFG;Ashe MP;Grant CM;Hubbard SJ;Pavitt GD
通讯作者:
Pavitt GD
影响因子:
64.8
作者:
Archer, Stuart K.;Shirokikh, Nikolay E.;Preiss, Thomas
通讯作者:
Preiss, Thomas