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Determinants of Translation Elongation Speed and Ribosomal Profiling Biases in Mouse Embryonic Stem Cells

Overview of attention for article published in PLoS Computational Biology, November 2012
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Title
Determinants of Translation Elongation Speed and Ribosomal Profiling Biases in Mouse Embryonic Stem Cells
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002755
Pubmed ID
Authors

Alexandra Dana, Tamir Tuller

Abstract

Ribosomal profiling is a promising approach with increasing popularity for studying translation. This approach enables monitoring the ribosomal density along genes at a resolution of single nucleotides.In this study, we focused on ribosomal density profiles of mouse embryonic stem cells. Our analysis suggests, for the first time, that even in mammals such as M. musculus the elongation speed is significantly and directly affected by determinants of the coding sequence such as: 1) the adaptation of codons to the tRNA pool; 2) the local mRNA folding of the coding sequence; 3) the local charge of amino acids encoded in the codon sequence. In addition, our analyses suggest that in general, the translation velocity of ribosomes is slower at the beginning of the coding sequence and tends to increase downstream.Finally, a comparison of these data to the expected biophysical behavior of translation suggests that it suffers from some unknown biases. Specifically, the ribosomal flux measured on the experimental data increases along the coding sequence; however, according to any biophysical model of ribosomal movement lacking internal initiation sites, the flux is expected to remain constant or decrease. Thus, developing experimental and/or statistical methods for understanding, detecting and dealing with such biases is of high importance.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 3 2%
United States 3 2%
United Kingdom 3 2%
Germany 2 1%
Netherlands 1 <1%
Brazil 1 <1%
Uruguay 1 <1%
France 1 <1%
Iran, Islamic Republic of 1 <1%
Other 3 2%
Unknown 171 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 36%
Researcher 52 27%
Student > Master 22 12%
Student > Doctoral Student 9 5%
Professor > Associate Professor 7 4%
Other 20 11%
Unknown 12 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 51%
Biochemistry, Genetics and Molecular Biology 51 27%
Computer Science 7 4%
Neuroscience 5 3%
Medicine and Dentistry 5 3%
Other 12 6%
Unknown 14 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2012.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#7,219
of 8,960 outputs
Outputs of similar age
#129,620
of 202,252 outputs
Outputs of similar age from PLoS Computational Biology
#70
of 107 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 202,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.