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Attention Score in Context
| Title |
The protein-interaction network with functional roles in tumorigenesis, neurodegeneration, and aging
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, October 2016
|
| DOI | 10.1007/s11010-016-2836-5 |
| Pubmed ID | |
| Authors |
Jarmila Nahálková |
| Abstract |
The present review summarizes the knowledge about a protein-interaction network, which includes proteins with significant functions in the mechanisms of aging and age-related diseases. All the detected interacting proteins TPPII, p53, MYBBP1A, CDK2 and SIRT7, SIRT6, and CD147 are suitable for the development of antitumor therapeutics and treatments for diseases of aging. TPPII and SIRT6 directly affect glucose metabolism which drive malignant growth. In addition, SIRT6 activators are attractive candidates for Alzheimer's disease (AD) due to the protection effect of SIRT6 overexpression from DNA damage. TPPII activity exhibits a decreasing effect on mTOR signaling, and its requirement for the degradation of Aβ peptides in the human fibroblasts suggests that it has dual functions in tumorigenesis and AD-related pathology. Likewise, the direct promotion of the invasiveness of breast epithelial cells and the contribution to the Aβ degradation by stimulating the matrix metalloproteinases production suggest a double functional role for CD147. An association of the partial portion of cellular CD147 to γ-secretase further supports the functional relation to AD pathology. The animal and cellular models with downregulated or knockout TPPII, p53, SIRT6, SIRT7, and MYBBP1A expression levels illustrate similar functions of the interacting proteins. They demonstrate similar effects on the length of life span, premature aging, and lipid metabolism. The presented protein-interaction network is relevant to the discoveries of the mechanisms of tumorigenesis, aging, and neurodegeneration. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Bachelor | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 29% |
| Agricultural and Biological Sciences | 7 | 25% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Neuroscience | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
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 21 October 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from Molecular and Cellular Biochemistry
#1,807
of 2,310 outputs
Outputs of similar age
#278,358
of 321,456 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#16
of 27 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,310 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 321,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.