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The PTEN/PI3K/AKT Pathway in vivo, Cancer Mouse Models

Overview of attention for article published in Frontiers in oncology, September 2014
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Title
The PTEN/PI3K/AKT Pathway in vivo, Cancer Mouse Models
Published in
Frontiers in oncology, September 2014
DOI 10.3389/fonc.2014.00252
Pubmed ID
Authors

Amancio Carnero, Jesus M. Paramio

Abstract

When PI3K (phosphatidylinositol-3 kinase) is activated by receptor tyrosine kinases, it phosphorylates PIP2 to generate PIP3 and activates the signaling pathway. Phosphatase and tensin homolog deleted on chromosome 10 dephosphorylates PIP3 to PIP2, and thus, negatively regulates the pathway. AKT (v-akt murine thymoma viral oncogene homolog; protein kinase B) is activated downstream of PIP3 and mediates physiological processes. Furthermore, substantial crosstalk exists with other signaling networks at all levels of the PI3K pathway. Because of its diverse array, gene mutations, and amplifications and also as a consequence of its central role in several signal transduction pathways, the PI3K-dependent axis is frequently activated in many tumors and is an attractive therapeutic target. The preclinical testing and analysis of these novel therapies requires appropriate and well-tailored systems. Mouse models in which this pathway has been genetically modified have been essential in understanding the role that this pathway plays in the tumorigenesis process. Here, we review cancer mouse models in which the PI3K/AKT pathway has been genetically modified.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Unknown 296 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 24%
Student > Bachelor 51 17%
Student > Master 43 14%
Researcher 27 9%
Student > Doctoral Student 17 6%
Other 30 10%
Unknown 60 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 108 36%
Agricultural and Biological Sciences 56 19%
Medicine and Dentistry 37 12%
Pharmacology, Toxicology and Pharmaceutical Science 10 3%
Chemistry 10 3%
Other 15 5%
Unknown 64 21%
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 09 October 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Frontiers in oncology
#11,324
of 22,440 outputs
Outputs of similar age
#192,503
of 263,119 outputs
Outputs of similar age from Frontiers in oncology
#48
of 90 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,440 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.