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Co-regulation of translation in protein complexes

Overview of attention for article published in Biology Direct, April 2015
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Title
Co-regulation of translation in protein complexes
Published in
Biology Direct, April 2015
DOI 10.1186/s13062-015-0048-7
Pubmed ID
Authors

Marlena Siwiak, Piotr Zielenkiewicz

Abstract

Co-regulation of gene expression has been known for many years, and studied widely both globally and for individual genes. Nevertheless, most analyses concerned transcriptional control, which in case of physically interacting proteins and protein complex subunits may be of secondary importance. This research is the first quantitative analysis that provides global-scale evidence for translation co-regulation among associated proteins. By analyzing the results of our previous quantitative model of translation, we have demonstrated that protein production rates plus several other translational parameters, such as mRNA and protein abundance, or number of produced proteins from a gene, are well concerted between stable complex subunits and party hubs. This may be energetically favorable during synthesis of complex building blocks and ensure their accurate production in time. In contrast, for connections with regulatory particles and date hubs translational co-regulation is less visible, indicating that in these cases maintenance of accurate levels of interacting particles is not necessarily beneficial. Similar results obtained for distantly related model organisms, Saccharomyces cerevisiae and Homo sapiens, suggest that the phenomenon of translational co-regulation applies to the variety of living organisms and concerns many complex constituents. This phenomenon was also observed among the set of functionally linked proteins from Escherichia coli operons. This leads to the conclusion that translational regulation of a protein should always be studied with respect to the expression of its primary interacting partners. This article was reviewed by Sandor Pongor and Claus Wilke.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Netherlands 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 26%
Student > Ph. D. Student 7 23%
Researcher 4 13%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 52%
Biochemistry, Genetics and Molecular Biology 8 26%
Mathematics 1 3%
Immunology and Microbiology 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Biology Direct
#450
of 487 outputs
Outputs of similar age
#223,515
of 265,086 outputs
Outputs of similar age from Biology Direct
#14
of 15 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.