Mutant p53 and MDM2 in Cancer
Springer Netherlands
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Attention Score in Context
| Chapter title |
Crosstalk Between Mdm2, p53 and HIF1-α: Distinct Responses to Oxygen Stress and Implications for Tumour Hypoxia.
|
|---|---|
| Chapter number | 11 |
| Book title |
Mutant p53 and MDM2 in Cancer
|
| Published in |
Sub cellular biochemistry, January 2014
|
| DOI | 10.1007/978-94-017-9211-0_11 |
| Pubmed ID | |
| Book ISBNs |
978-9-40-179210-3, 978-9-40-179211-0
|
| Authors |
E Douglas Robertson, Kostyantyn Semenchenko, Bohdan Wasylyk, E. Douglas Robertson, Robertson, E. Douglas, Semenchenko, Kostyantyn, Wasylyk, Bohdan |
| Abstract |
The E3 ubiquitin ligase Mdm2 regulates two transcription factors, p53 and HIF1α, which appear to be tailored towards different and specific roles within the cell, the DNA damage and hypoxia responses, respectively. However, evidence increasingly points towards the interplay between these factors being crucial for the regulation of cellular metabolism and survival in times of oxygen stress, which has particular relevance for tumour formation. Mdm2, p53 and HIF1α all respond to hypoxia, and intriguingly, have distinct roles depending on the level of hypoxia. The data from numerous studies across different conditions hint at the interplay between these key factors in cellular homeostasis. Here we try to weave these strands together, to create a picture of the complex tapestry of interactions that demonstrates the importance of the crosstalk between these key regulatory proteins during hypoxia. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Student > Bachelor | 3 | 17% |
| Researcher | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Master | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Medicine and Dentistry | 3 | 17% |
| Environmental Science | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 28% |
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 10 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from Sub cellular biochemistry
#295
of 354 outputs
Outputs of similar age
#264,836
of 305,294 outputs
Outputs of similar age from Sub cellular biochemistry
#18
of 23 outputs
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So far Altmetric has tracked 354 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.