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Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects

Overview of attention for article published in PLoS Computational Biology, March 2013
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Title
Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002934
Pubmed ID
Authors

Ophir Shalem, Lucas Carey, Danny Zeevi, Eilon Sharon, Leeat Keren, Adina Weinberger, Orna Dahan, Yitzhak Pilpel, Eran Segal

Abstract

A full understanding of gene regulation requires an understanding of the contributions that the various regulatory regions have on gene expression. Although it is well established that sequences downstream of the main promoter can affect expression, our understanding of the scale of this effect and how it is encoded in the DNA is limited. Here, to measure the effect of native S. cerevisiae 3' end sequences on expression, we constructed a library of 85 fluorescent reporter strains that differ only in their 3' end region. Notably, despite being driven by the same strong promoter, our library spans a continuous twelve-fold range of expression values. These measurements correlate with endogenous mRNA levels, suggesting that the 3' end contributes to constitutive differences in mRNA levels. We used deep sequencing to map the 3'UTR ends of our strains and show that determination of polyadenylation sites is intrinsic to the local 3' end sequence. Polyadenylation mapping was followed by sequence analysis, we found that increased A/T content upstream of the main polyadenylation site correlates with higher expression, both in the library and genome-wide, suggesting that native genes differ by the encoded efficiency of 3' end processing. Finally, we use single cells fluorescence measurements, in different promoter activation levels, to show that 3' end sequences modulate protein expression dynamics differently than promoters, by predominantly affecting the size of protein production bursts as opposed to the frequency at which these bursts occur. Altogether, our results lead to a more complete understanding of gene regulation by demonstrating that 3' end regions have a unique and sequence dependent effect on gene expression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
Israel 3 2%
United Kingdom 2 2%
Sweden 1 <1%
Chile 1 <1%
Portugal 1 <1%
Argentina 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 111 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 27%
Researcher 31 24%
Student > Master 10 8%
Professor 10 8%
Student > Bachelor 9 7%
Other 24 18%
Unknown 12 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 65%
Biochemistry, Genetics and Molecular Biology 20 15%
Computer Science 5 4%
Engineering 2 2%
Unspecified 1 <1%
Other 5 4%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2013.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,211
of 8,964 outputs
Outputs of similar age
#160,412
of 207,762 outputs
Outputs of similar age from PLoS Computational Biology
#124
of 150 outputs
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