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Promoter Sequence Determines the Relationship between Expression Level and Noise

Overview of attention for article published in PLoS Biology, April 2013
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
2 blogs
twitter
13 X users
patent
1 patent
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

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137 Dimensions

Readers on

mendeley
334 Mendeley
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8 CiteULike
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Title
Promoter Sequence Determines the Relationship between Expression Level and Noise
Published in
PLoS Biology, April 2013
DOI 10.1371/journal.pbio.1001528
Pubmed ID
Authors

Lucas B. Carey, David van Dijk, Peter M. A. Sloot, Jaap A. Kaandorp, Eran Segal

Abstract

The ability of cells to accurately control gene expression levels in response to extracellular cues is limited by the inherently stochastic nature of transcriptional regulation. A change in transcription factor (TF) activity results in changes in the expression of its targets, but the way in which cell-to-cell variability in expression (noise) changes as a function of TF activity, and whether targets of the same TF behave similarly, is not known. Here, we measure expression and noise as a function of TF activity for 16 native targets of the transcription factor Zap1 that are regulated by it through diverse mechanisms. For most activated and repressed Zap1 targets, noise decreases as expression increases. Kinetic modeling suggests that this is due to two distinct Zap1-mediated mechanisms that both change the frequency of transcriptional bursts. Notably, we found that another mechanism of repression by Zap1, which is encoded in the promoter DNA, likely decreases the size of transcriptional bursts, producing a unique transcriptional state characterized by low expression and low noise. In addition, we find that further reduction in noise is achieved when a single TF both activates and represses a single target gene. Our results suggest a global principle whereby at low TF concentrations, the dominant source of differences in expression between promoters stems from differences in burst frequency, whereas at high TF concentrations differences in burst size dominate. Taken together, we show that the precise amount by which noise changes with expression is specific to the regulatory mechanism of transcription and translation that acts at each gene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 334 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 4%
France 4 1%
Netherlands 3 <1%
Spain 3 <1%
Germany 2 <1%
Portugal 2 <1%
United Kingdom 2 <1%
India 2 <1%
Malaysia 1 <1%
Other 6 2%
Unknown 294 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 93 28%
Researcher 81 24%
Student > Master 34 10%
Student > Bachelor 26 8%
Professor > Associate Professor 23 7%
Other 51 15%
Unknown 26 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 159 48%
Biochemistry, Genetics and Molecular Biology 87 26%
Computer Science 13 4%
Physics and Astronomy 13 4%
Chemistry 6 2%
Other 25 7%
Unknown 31 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 31 August 2023.
All research outputs
#1,627,183
of 25,374,917 outputs
Outputs from PLoS Biology
#2,590
of 8,846 outputs
Outputs of similar age
#12,752
of 212,759 outputs
Outputs of similar age from PLoS Biology
#27
of 83 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,846 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.6. This one has gotten more attention than average, scoring higher than 70% 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 212,759 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 93% of its contemporaries.
We're also able to compare this research output to 83 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.