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Transcriptome-wide RNA processing kinetics revealed using extremely short 4tU labeling

Overview of attention for article published in Genome Biology, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

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Title
Transcriptome-wide RNA processing kinetics revealed using extremely short 4tU labeling
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0848-1
Pubmed ID
Authors

J. David Barrass, Jane E. A. Reid, Yuanhua Huang, Ralph D. Hector, Guido Sanguinetti, Jean D. Beggs, Sander Granneman

Abstract

RNA levels detected at steady state are the consequence of multiple dynamic processes within the cell. In addition to synthesis and decay, transcripts undergo processing. Metabolic tagging with a nucleotide analog is one way of determining the relative contributions of synthesis, decay and conversion processes globally. By improving 4-thiouracil labeling of RNA in Saccharomyces cerevisiae we were able to isolate RNA produced during as little as 1 minute, allowing the detection of nascent pervasive transcription. Nascent RNA labeled for 1.5, 2.5 or 5 minutes was isolated and analyzed by reverse transcriptase-quantitative polymerase chain reaction and RNA sequencing. High kinetic resolution enabled detection and analysis of short-lived non-coding RNAs as well as intron-containing pre-mRNAs in wild-type yeast. From these data we measured the relative stability of pre-mRNA species with different high turnover rates and investigated potential correlations with sequence features. Our analysis of non-coding RNAs reveals a highly significant association between non-coding RNA stability, transcript length and predicted secondary structure. Our quantitative analysis of the kinetics of pre-mRNA splicing in yeast reveals that ribosomal protein transcripts are more efficiently spliced if they contain intron secondary structures that are predicted to be less stable. These data, in combination with previous results, indicate that there is an optimal range of stability of intron secondary structures that allows for rapid splicing.

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The data shown below were collected from the profiles of 11 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Denmark 2 2%
United Kingdom 1 <1%
Unknown 123 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 34%
Researcher 27 21%
Student > Bachelor 11 9%
Student > Master 9 7%
Student > Doctoral Student 8 6%
Other 15 12%
Unknown 15 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 38%
Agricultural and Biological Sciences 46 36%
Neuroscience 3 2%
Chemistry 3 2%
Computer Science 2 2%
Other 7 5%
Unknown 18 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 April 2016.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Genome Biology
#2,945
of 4,467 outputs
Outputs of similar age
#80,558
of 380,084 outputs
Outputs of similar age from Genome Biology
#66
of 78 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 380,084 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 77% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.