| Title |
The functional role of microRNA in acute lymphoblastic leukemia: relevance for diagnosis, differential diagnosis, prognosis, and therapy
|
|---|---|
| Published in |
OncoTargets and therapy, October 2015
|
| DOI | 10.2147/ott.s92470 |
| Pubmed ID | |
| Authors |
Chengxin Luan, Zixue Yang, Baoan Chen |
| Abstract |
MicroRNAs (miRNAs), a new class of noncoding RNAs, which can hybridize to target messenger RNAs and regulate their expression posttranscriptionally, express differentially in distinct stages of lymphopoiesis and influence the direction of lymphoid precursor maturation. Hence, there is aberrant expression of miRNAs involved in malignant lymphopoiesis, and these aberrations can be used as signatures of acute lymphoblastic leukemia (ALL) with different subtypes. In addition, changes in the expression of several miRNAs may have functional relevance with leukemogenesis or drug resistance. As a result, the reversal of the expression of these miRNAs may alleviate the disease to some extent and improve clinical outcomes. However, among the studies of miRNAs, there are still some problems that need to be solved to understand the function of miRNAs in ALL more thoroughly. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 8 | 10% |
| Researcher | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Other | 11 | 14% |
| Unknown | 21 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 32% |
| Medicine and Dentistry | 9 | 12% |
| Agricultural and Biological Sciences | 5 | 6% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 28 | 36% |
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 29 October 2015.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#210,057
of 286,877 outputs
Outputs of similar age from OncoTargets and therapy
#52
of 105 outputs
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