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What Is the Impact of mRNA 5′ TL Heterogeneity on Translational Start Site Selection and the Mammalian Cellular Phenotype?

Overview of attention for article published in Frontiers in Genetics, August 2016
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Title
What Is the Impact of mRNA 5′ TL Heterogeneity on Translational Start Site Selection and the Mammalian Cellular Phenotype?
Published in
Frontiers in Genetics, August 2016
DOI 10.3389/fgene.2016.00156
Pubmed ID
Authors

Joseph A. Curran, Benjamin Weiss

Abstract

A major determinant in the efficiency of ribosome loading onto mRNAs is the 5' TL (transcript leader or 5' UTR). In addition, elements within this region also impact on start site selection demonstrating that it can modulate the protein readout at both quantitative and qualitative levels. With the increasing wealth of data generated by the mining of the mammalian transcriptome, it has become evident that a genes 5' TL is not homogeneous but actually exhibits significant heterogeneity. This arises due to the utilization of alternative promoters, and is further compounded by significant variability with regards to the precise transcriptional start sites of each (not to mention alternative splicing). Consequently, the transcript for a protein coding gene is not a unique mRNA, but in-fact a complexed quasi-species of variants whose composition may respond to the changing physiological environment of the cell. Here we examine the potential impact of these events with regards to the protein readout.

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The data shown below were collected from the profiles of 3 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 41%
Student > Master 4 15%
Researcher 4 15%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 44%
Agricultural and Biological Sciences 10 37%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Computer Science 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 2 7%
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 16 September 2016.
All research outputs
#15,381,871
of 22,884,315 outputs
Outputs from Frontiers in Genetics
#5,463
of 11,923 outputs
Outputs of similar age
#215,375
of 337,459 outputs
Outputs of similar age from Frontiers in Genetics
#32
of 52 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,923 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 48th percentile – i.e., 48% 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 337,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.