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Chapter title |
Functional Characterization of ATM Kinase Using Acetylation-Specific Antibodies
|
---|---|
Chapter number | 12 |
Book title |
ATM Kinase
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6955-5_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6953-1, 978-1-4939-6955-5, 978-1-4939-6953-1, 978-1-4939-6955-5
|
Authors |
Yingli Sun, Fengxia Du |
Editors |
Sergei V. Kozlov |
Abstract |
The activation of ATM is critical in the DNA double strand breaks repair pathway. Acetylation of ATM by Tip60 histone acetyltransferase (HAT) plays a key role in the activation of ATM kinase activity in response to DNA damage. ATM forms a stable complex with Tip60 through the FATC domain of ATM. Tip60 acetylates lysine3016 of ATM, and this acetylation induces the activation of ATM. Several techniques are included in the study of ATM acetylation by Tip60, such as in vitro kinase assay, systematic mutagenesis, western blots. Here, we describe how to study the acetylation of ATM using acetylation-specific antibodies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Geographical breakdown
Country | Count | As % |
---|---|---|
Montenegro | 1 | 50% |
France | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 50% |
Other | 1 | 25% |
Student > Master | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 50% |
Biochemistry, Genetics and Molecular Biology | 1 | 25% |
Chemistry | 1 | 25% |
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 11 May 2017.
All research outputs
#17,892,691
of 22,971,207 outputs
Outputs from Methods in molecular biology
#7,269
of 13,142 outputs
Outputs of similar age
#294,275
of 421,094 outputs
Outputs of similar age from Methods in molecular biology
#641
of 1,074 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,142 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 421,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.