↓ Skip to main content

Genome-wide analysis of long noncoding RNA stability

Overview of attention for article published in Genome Research, March 2012
Altmetric Badge

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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
23 X users
facebook
1 Facebook page

Citations

dimensions_citation
476 Dimensions

Readers on

mendeley
622 Mendeley
citeulike
9 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide analysis of long noncoding RNA stability
Published in
Genome Research, March 2012
DOI 10.1101/gr.131037.111
Pubmed ID
Authors

Michael B. Clark, Rebecca L. Johnston, Mario Inostroza-Ponta, Archa H. Fox, Ellen Fortini, Pablo Moscato, Marcel E. Dinger, John S. Mattick

Abstract

Transcriptomic analyses have identified tens of thousands of intergenic, intronic, and cis-antisense long noncoding RNAs (lncRNAs) that are expressed from mammalian genomes. Despite progress in functional characterization, little is known about the post-transcriptional regulation of lncRNAs and their half-lives. Although many are easily detectable by a variety of techniques, it has been assumed that lncRNAs are generally unstable, but this has not been examined genome-wide. Utilizing a custom noncoding RNA array, we determined the half-lives of ∼800 lncRNAs and ∼12,000 mRNAs in the mouse Neuro-2a cell line. We find only a minority of lncRNAs are unstable. LncRNA half-lives vary over a wide range, comparable to, although on average less than, that of mRNAs, suggestive of complex metabolism and widespread functionality. Combining half-lives with comprehensive lncRNA annotations identified hundreds of unstable (half-life < 2 h) intergenic, cis-antisense, and intronic lncRNAs, as well as lncRNAs showing extreme stability (half-life > 16 h). Analysis of lncRNA features revealed that intergenic and cis-antisense RNAs are more stable than those derived from introns, as are spliced lncRNAs compared to unspliced (single exon) transcripts. Subcellular localization of lncRNAs indicated widespread trafficking to different cellular locations, with nuclear-localized lncRNAs more likely to be unstable. Surprisingly, one of the least stable lncRNAs is the well-characterized paraspeckle RNA Neat1, suggesting Neat1 instability contributes to the dynamic nature of this subnuclear domain. We have created an online interactive resource (http://stability.matticklab.com) that allows easy navigation of lncRNA and mRNA stability profiles and provides a comprehensive annotation of ~7200 mouse lncRNAs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 622 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
United Kingdom 5 <1%
China 2 <1%
Netherlands 2 <1%
France 2 <1%
Australia 2 <1%
Denmark 2 <1%
Italy 1 <1%
Norway 1 <1%
Other 8 1%
Unknown 584 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 158 25%
Researcher 142 23%
Student > Master 77 12%
Student > Bachelor 43 7%
Professor 32 5%
Other 94 15%
Unknown 76 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 275 44%
Biochemistry, Genetics and Molecular Biology 178 29%
Medicine and Dentistry 30 5%
Neuroscience 12 2%
Chemistry 9 1%
Other 26 4%
Unknown 92 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 April 2022.
All research outputs
#2,728,064
of 25,554,853 outputs
Outputs from Genome Research
#1,338
of 4,438 outputs
Outputs of similar age
#15,919
of 169,196 outputs
Outputs of similar age from Genome Research
#22
of 65 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 69% 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 169,196 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.