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Checkpoint Kinases Regulate a Global Network of Transcription Factors in Response to DNA Damage

Overview of attention for article published in Cell Reports, June 2013
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Title
Checkpoint Kinases Regulate a Global Network of Transcription Factors in Response to DNA Damage
Published in
Cell Reports, June 2013
DOI 10.1016/j.celrep.2013.05.041
Pubmed ID
Authors

Eric J. Jaehnig, Dwight Kuo, Hans Hombauer, Trey G. Ideker, Richard D. Kolodner

Abstract

DNA damage activates checkpoint kinases that induce several downstream events, including widespread changes in transcription. However, the specific connections between the checkpoint kinases and downstream transcription factors (TFs) are not well understood. Here, we integrate kinase mutant expression profiles, transcriptional regulatory interactions, and phosphoproteomics to map kinases and downstream TFs to transcriptional regulatory networks. Specifically, we investigate the role of the Saccharomyces cerevisiae checkpoint kinases (Mec1, Tel1, Chk1, Rad53, and Dun1) in the transcriptional response to DNA damage caused by methyl methanesulfonate. The result is a global kinase-TF regulatory network in which Mec1 and Tel1 signal through Rad53 to synergistically regulate the expression of more than 600 genes. This network involves at least nine TFs, many of which have Rad53-dependent phosphorylation sites, as regulators of checkpoint-kinase-dependent genes. We also identify a major DNA damage-induced transcriptional network that regulates stress response genes independently of the checkpoint kinases.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Portugal 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 100 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 29%
Researcher 24 23%
Student > Master 14 13%
Student > Bachelor 7 7%
Professor > Associate Professor 5 5%
Other 14 13%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 47%
Biochemistry, Genetics and Molecular Biology 30 28%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Chemistry 2 2%
Other 6 6%
Unknown 13 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 September 2013.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from Cell Reports
#11,007
of 12,958 outputs
Outputs of similar age
#112,265
of 208,855 outputs
Outputs of similar age from Cell Reports
#72
of 110 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 208,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.