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SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample

Overview of attention for article published in PLOS ONE, February 2014
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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9 X users
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1 Google+ user

Citations

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Title
SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0089673
Pubmed ID
Authors

Jesse M. Gray, David A. Harmin, Sarah A. Boswell, Nicole Cloonan, Thomas E. Mullen, Joseph J. Ling, Nimrod Miller, Scott Kuersten, Yong-Chao Ma, Steven A. McCarroll, Sean M. Grimmond, Michael Springer

Abstract

mRNA synthesis, processing, and destruction involve a complex series of molecular steps that are incompletely understood. Because the RNA intermediates in each of these steps have finite lifetimes, extensive mechanistic and dynamical information is encoded in total cellular RNA. Here we report the development of SnapShot-Seq, a set of computational methods that allow the determination of in vivo rates of pre-mRNA synthesis, splicing, intron degradation, and mRNA decay from a single RNA-Seq snapshot of total cellular RNA. SnapShot-Seq can detect in vivo changes in the rates of specific steps of splicing, and it provides genome-wide estimates of pre-mRNA synthesis rates comparable to those obtained via labeling of newly synthesized RNA. We used SnapShot-Seq to investigate the origins of the intrinsic bimodality of metazoan gene expression levels, and our results suggest that this bimodality is partly due to spillover of transcriptional activation from highly expressed genes to their poorly expressed neighbors. SnapShot-Seq dramatically expands the information obtainable from a standard RNA-Seq experiment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 3 2%
United Kingdom 2 2%
United States 2 2%
Australia 2 2%
Netherlands 1 <1%
Denmark 1 <1%
France 1 <1%
Unknown 109 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 29%
Researcher 22 18%
Student > Master 14 12%
Student > Bachelor 12 10%
Student > Doctoral Student 9 7%
Other 19 16%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 38%
Biochemistry, Genetics and Molecular Biology 34 28%
Medicine and Dentistry 8 7%
Neuroscience 5 4%
Engineering 4 3%
Other 15 12%
Unknown 9 7%
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 16 April 2022.
All research outputs
#5,664,159
of 23,548,905 outputs
Outputs from PLOS ONE
#72,692
of 201,830 outputs
Outputs of similar age
#51,696
of 222,621 outputs
Outputs of similar age from PLOS ONE
#1,698
of 5,870 outputs
Altmetric has tracked 23,548,905 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 201,830 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 63% 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 222,621 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 76% of its contemporaries.
We're also able to compare this research output to 5,870 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 70% of its contemporaries.