| Title |
Identification of microRNA-like RNAs in Ophiocordyceps sinensis
|
|---|---|
| Published in |
Science China Life Sciences, March 2018
|
| DOI | 10.1007/s11427-017-9277-9 |
| Pubmed ID | |
| Authors |
Wen Zhang, Xiaona Li, Lina Ma, Uzair Urrehman, Xilinqiqige Bao, Yujing Zhang, Chen-Yu Zhang, Dongxia Hou, Zhen Zhou |
| Abstract |
Ophiocordyceps sinensis is well known as a traditional Chinese medicine and has widely been used for over 2,000 years to stimulate immune system, decrease blood pressure and to inhibit tumor growth. While miRNAs are increasingly recognized for their roles in post-transcriptional regulation of gene expression in animals and plants, miRNAs in fungi were less studied until the discovery of microRNA-like RNA (milRNA). High-throughput sequencing and bioinformatics approaches were used to identify conserved and novel milRNAs in O. sinensis. 40 conserved milRNAs were identified, while 23 pre-miRNA candidates encoding 31 novel milRNAs were predicted. Furthermore, the potential target genes of milRNAs in human were predicted and gene ontology analysis was applied to these genes. Enrichment analysis of GO-represented biological process showed that target genes of both conserved and novel milRNAs are involved in development, metabolic and immune processes, indicating the potential roles of milRNAs of O. sinensis in pharmacological effects as health food and traditional Chinese medicine. This study is the first report on genome-wide analysis of milRNAs in O. sinensis and it provides a useful resource to further study the potential roles of milRNAs as active components of O. sinensis in health food or traditional Chinese medicine. |
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Unspecified | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Agricultural and Biological Sciences | 2 | 13% |
| Unspecified | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 8 | 53% |
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 05 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from Science China Life Sciences
#775
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Outputs of similar age
#291,403
of 330,044 outputs
Outputs of similar age from Science China Life Sciences
#15
of 23 outputs
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