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Caffeine impairs resection during DNA break repair by reducing the levels of nucleases Sae2 and Dna2

Overview of attention for article published in Nucleic Acids Research, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Article details
Title
Caffeine impairs resection during DNA break repair by reducing the levels of nucleases Sae2 and Dna2
Published in
Nucleic Acids Research, May 2015
DOI 10.1093/nar/gkv520
Pubmed ID
Authors
Abstract

In response to chromosomal double-strand breaks (DSBs), eukaryotic cells activate the DNA damage checkpoint, which is orchestrated by the PI3 kinase-like protein kinases ATR and ATM (Mec1 and Tel1 in budding yeast). Following DSB formation, Mec1 and Tel1 phosphorylate histone H2A on serine 129 (known as γ-H2AX). We used caffeine to inhibit the checkpoint kinases after DSB induction. We show that prolonged phosphorylation of H2A-S129 does not require continuous Mec1 and Tel1 activity. Unexpectedly, caffeine treatment impaired homologous recombination by inhibiting 5' to 3' end resection, independent of Mec1 and Tel1 inhibition. Caffeine treatment led to the rapid loss, by proteasomal degradation, of both Sae2, a nuclease that plays a role in early steps of resection, and Dna2, a nuclease that facilitates one of two extensive resection pathways. Sae2's instability is evident in the absence of DNA damage. A similar loss is seen when protein synthesis is inhibited by cycloheximide. Caffeine treatment had similar effects on irradiated HeLa cells, blocking the formation of RPA and Rad51 foci that depend on 5' to 3' resection of broken chromosome ends. Our findings provide insight toward the use of caffeine as a DNA damage-sensitizing agent in cancer cells.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Netherlands 1 1%
Luxembourg 1 1%
Bulgaria 1 1%
Unknown 90 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 20 21%
Student > Bachelor 15 16%
Student > Master 10 11%
Professor > Associate Professor 5 5%
Other 11 12%
Unknown 13 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 38%
Biochemistry, Genetics and Molecular Biology 32 34%
Immunology and Microbiology 2 2%
Medicine and Dentistry 2 2%
Chemistry 2 2%
Other 5 5%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 February 2019.
All research outputs
#6,777,512
of 33,087,078 outputs
Outputs from Nucleic Acids Research
#10,793
of 32,818 outputs
Outputs of similar age
#66,732
of 300,451 outputs
Outputs of similar age from Nucleic Acids Research
#130
of 348 outputs
Altmetric has tracked 33,087,078 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,818 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 67% 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 300,451 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 348 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 62% of its contemporaries.