| Title |
HSV-1-encoded microRNA miR-H1 targets Ubr1 to promote accumulation of neurodegeneration-associated protein
|
|---|---|
| Published in |
Virus Genes, March 2018
|
| DOI | 10.1007/s11262-018-1551-6 |
| Pubmed ID | |
| Authors |
Kai Zheng, Qiuying Liu, Shaoxiang Wang, Zhe Ren, Kaio Kitazato, Depo Yang, Yifei Wang |
| Abstract |
Herpes simplex virus 1 (HSV-1) encodes various microRNAs (miRNAs), whose targets are largely unknown. miR-H1 is the first discovered HSV-1 miRNA and is expressed predominantly in productive infection. Here we show that ubiquitin protein ligase E3 component n-recognin 1 (Ubr1) is a cellular target of miR-H1. Ubr1 is a RING-type E3 ubiquitin ligase of the Arg/N-end rule pathway, which causes the degradation of proteins bearing "destabilizing" N-terminal residues, such as neurodegeneration-associated protein fragment β-amyloid. Using model substrates, we found that miR-H1 significantly repressed the expression and activity of Ubr1. Consequently, miR-H1-mediated Ubr1 silencing resulted in the accumulation of β-amyloid, which might contribute to the neurodegenerative pathogenesis enhanced by HSV-1. Our results provide novel insights into the mechanism by which HSV-1-encoded miR-H1 functions in neurodegenerative pathogenesis through targeting Ubr1-mediated Arg/N-end rule degradation pathway. |
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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 26% |
| Researcher | 5 | 19% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 19% |
| Immunology and Microbiology | 4 | 15% |
| Agricultural and Biological Sciences | 4 | 15% |
| Nursing and Health Professions | 2 | 7% |
| Neuroscience | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 20 April 2018.
All research outputs
#3,234,966
of 23,028,364 outputs
Outputs from Virus Genes
#23
of 966 outputs
Outputs of similar age
#69,642
of 333,763 outputs
Outputs of similar age from Virus Genes
#2
of 16 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 966 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 97% of its peers.
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 333,763 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.