| Title |
Emerging Role of MicroRNAs in mTOR Signaling
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, February 2017
|
| DOI | 10.1007/s00018-017-2485-1 |
| Pubmed ID | |
| Authors |
Yanjie Zhang, Bo Huang, Hui-Yun Wang, Augustus Chang, X. F. Steven Zheng |
| Abstract |
Mechanistic target of rapamycin (mTOR) is a conserved serine/threonine kinase that plays a critical role in the control of cellular growth and metabolism. Hyperactivation of mTOR pathway is common in human cancers, driving uncontrolled proliferation. MicroRNA (miRNA) is a class of short noncoding RNAs that regulate the expression of a wide variety of genes. Deregulation of miRNAs is a hallmark of cancer. Recent studies have revealed interplays between miRNAs and the mTOR pathway during cancer development. Such interactions appear to provide a fine-tuning of various cellular functions and contribute qualitatively to the behavior of cancer. Here we provide an overview of current knowledge regarding the reciprocal relationship between miRNAs and mTOR pathway: regulation of mTOR signaling by miRNAs and control of miRNA biogenesis by mTOR. Further research in this area may prove important for the diagnosis and therapy of human cancer. |
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 % |
|---|---|---|
| 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 23% |
| Researcher | 13 | 14% |
| Student > Master | 12 | 13% |
| Student > Doctoral Student | 10 | 11% |
| Student > Bachelor | 6 | 6% |
| Other | 9 | 10% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 32% |
| Medicine and Dentistry | 14 | 15% |
| Agricultural and Biological Sciences | 12 | 13% |
| Neuroscience | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 3 | 3% |
| Unknown | 28 | 30% |
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 24 June 2017.
All research outputs
#21,141,111
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Outputs from Cellular and Molecular Life Sciences
#3,769
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Outputs of similar age
#273,677
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Outputs of similar age from Cellular and Molecular Life Sciences
#47
of 53 outputs
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