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Mendeley readers
Attention Score in Context
| Title |
Identification of miRNA-mRNA crosstalk in CD4+ T cells during HIV-1 infection by integrating transcriptome analyses
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2017
|
| DOI | 10.1186/s12967-017-1130-y |
| Pubmed ID | |
| Authors |
Qibin Liao, Jin Wang, Zenglin Pei, Jianqing Xu, Xiaoyan Zhang |
| Abstract |
HIV-1-infected long-term nonprogressors (LTNPs) are characterized by infection with HIV-1 more than 7-10 years, but keeping high CD4(+) T cell counts and low viral load in the absence of antiretroviral treatment, while loss of CD4(+) T cells and high viral load were observed in the most of HIV-1-infected individuals with chronic progressors (CPs) However, the mechanisms of different clinical outcomes in HIV-1 infection needs to be further resolved. To identify microRNAs (miRNAs) and their target genes related to distinct clinical outcomes in HIV-1 infection, we performed the integrative transcriptome analyses in two series GSE24022 and GSE6740 by GEO2R, R, TargetScan, miRDB, and Cytoscape softwares. The functional pathways of these differentially expressed miRNAs (DEMs) targeting genes were further analyzed with DAVID. We identified that 7 and 19 DEMs in CD4(+) T cells of LTNPs and CPs, respectively, compared with uninfected controls (UCs), but only miR-630 was higher in CPs than that in LTNPs. Further, 478 and 799 differentially expressed genes (DEGs) were identified in the group of LTNPs and CPs, respectively, compared with UCs. Compared to CPs, four hundred and twenty-four DEGs were identified in LTNPs. Functional pathway analyses revealed that a close connection with miRNA-mRNA in HIV-1 infection that DEGs were involved in response to virus and immune system process, and RIG-I-like receptor signaling pathway, whose DEMs or DEGs will be novel biomarkers for prediction of clinical outcomes and therapeutic targets for HIV-1. Integrative transcriptome analyses showed that distinct transcriptional profiles in CD4(+) T cells are associated with different clinical outcomes during HIV-1 infection, and we identified a circulating miR-630 with potential to predict disease progression, which is necessary to further confirm our findings in the future. |
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Student > Doctoral Student | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 24% |
| Medicine and Dentistry | 3 | 14% |
| Immunology and Microbiology | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 February 2017.
All research outputs
#14,924,102
of 22,955,959 outputs
Outputs from Journal of Translational Medicine
#1,988
of 4,011 outputs
Outputs of similar age
#187,034
of 310,778 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 64 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,011 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 44th percentile – i.e., 44% 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 310,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.