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Direct phosphorylation events involved in HIF-α regulation: the role of GSK-3β

Overview of attention for article published in Hypoxia, April 2014
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Title
Direct phosphorylation events involved in HIF-α regulation: the role of GSK-3β
Published in
Hypoxia, April 2014
DOI 10.2147/hp.s60703
Pubmed ID
Authors

Daniela Mennerich, Elitsa Y Dimova, Thomas Kietzmann

Abstract

Hypoxia-inducible factors (HIFs), consisting of α- and β-subunits, are critical regulators of the transcriptional response to hypoxia under both physiological and pathological conditions. To a large extent, the protein stability and the recruitment of coactivators to the C-terminal transactivation domain of the HIF α-subunits determine overall HIF activity. The regulation of HIF α-subunit protein stability and coactivator recruitment is mainly achieved by oxygen-dependent posttranslational hydroxylation of conserved proline and asparagine residues, respectively. Under hypoxia, the hydroxylation events are inhibited and HIF α-subunits stabilize, translocate to the nucleus, dimerize with the β-subunits, and trigger a transcriptional response. However, under normal oxygen conditions, HIF α-subunits can be activated by various growth and coagulation factors, hormones, cytokines, or stress factors implicating the involvement of different kinase pathways in their regulation, thereby making HIF-α-regulating kinases attractive therapeutic targets. From the kinases known to regulate HIF α-subunits, only a few phosphorylate HIF-α directly. Here, we review the direct phosphorylation of HIF-α with an emphasis on the role of glycogen synthase kinase-3β and the consequences for HIF-1α function.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 31%
Student > Master 5 16%
Student > Bachelor 3 9%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 31%
Neuroscience 4 13%
Medicine and Dentistry 4 13%
Agricultural and Biological Sciences 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 3 9%
Unknown 5 16%
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 01 May 2014.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from Hypoxia
#27
of 48 outputs
Outputs of similar age
#163,699
of 226,112 outputs
Outputs of similar age from Hypoxia
#2
of 3 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 21 of them.
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 226,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.