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Analysis of rRNA processing and translation in mammalian cells using a synthetic 18S rRNA expression system

Overview of attention for article published in Nucleic Acids Research, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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2 tweeters
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2 patents

Citations

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5 Dimensions

Readers on

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64 Mendeley
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Title
Analysis of rRNA processing and translation in mammalian cells using a synthetic 18S rRNA expression system
Published in
Nucleic Acids Research, June 2012
DOI 10.1093/nar/gks530
Pubmed ID
Authors

Luke G. Burman, Vincent P. Mauro

Abstract

Analysis of processing, assembly, and function of higher eukaryotic ribosomal RNA (rRNA) has been hindered by the lack of an expression system that enables rRNA to be modified and then examined functionally. Given the potential usefulness of such a system, we have developed one for mammalian 18S rRNA. We inserted a sequence tag into expansion segment 3 of mouse 18S rRNA to monitor expression and cleavage by hybridization. Mutations were identified that confer resistance to pactamycin, allowing functional analysis of 40S ribosomal subunits containing synthetic 18S rRNAs by selectively blocking translation from endogenous (pactamycin-sensitive) subunits. rRNA constructs were suitably expressed in transfected cells, shown to process correctly, incorporate into ≈ 15% of 40S subunits, and function normally based on various criteria. After rigorous analysis, the system was used to investigate the importance of sequences that flank 18S rRNA in precursor transcripts. Although deletion analysis supported the requirement of binding sites for the U3 snoRNA, it showed that a large segment of the 5' external transcribed spacer and the entire first internal transcribed spacer, both of which flank 18S rRNA, are not required. The success of this approach opens the possibility of functional analyses of ribosomes, with applications in basic research and synthetic biology.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
France 1 2%
Canada 1 2%
Unknown 60 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 34%
Researcher 21 33%
Student > Master 5 8%
Other 3 5%
Student > Postgraduate 3 5%
Other 7 11%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 53%
Biochemistry, Genetics and Molecular Biology 20 31%
Social Sciences 2 3%
Chemistry 2 3%
Neuroscience 1 2%
Other 1 2%
Unknown 4 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 June 2016.
All research outputs
#2,023,757
of 12,378,406 outputs
Outputs from Nucleic Acids Research
#3,842
of 20,537 outputs
Outputs of similar age
#19,488
of 120,692 outputs
Outputs of similar age from Nucleic Acids Research
#55
of 255 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,537 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 81% of its peers.
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 120,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.