| Title |
Discovery and characterization of miRNA genes in atlantic salmon (Salmo salar) by use of a deep sequencing approach
|
|---|---|
| Published in |
BMC Genomics, July 2013
|
| DOI | 10.1186/1471-2164-14-482 |
| Pubmed ID | |
| Authors |
Rune Andreassen, Merete Molton Worren, Bjørn Høyheim |
| Abstract |
MicroRNAs (miRNAs) are an abundant class of endogenous small RNA molecules that downregulate gene expression at the posttranscriptional level. They play important roles in multiple biological processes by regulating genes that control developmental timing, growth, stem cell division and apoptosis by binding to the mRNA of target genes. Despite the position Atlantic salmon (Salmo salar) has as an economically important domesticated animal, there has been little research on miRNAs in this species. Knowledge about miRNAs and their target genes may be used to control health and to improve performance of economically important traits. However, before their biological function can be unravelled they must be identified and annotated. The aims of this study were to identify and characterize miRNA genes in Atlantic salmon by deep sequencing analysis of small RNA libraries from nine different tissues. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Chile | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 84 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 30% |
| Researcher | 16 | 18% |
| Student > Bachelor | 7 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 59% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Immunology and Microbiology | 2 | 2% |
| Engineering | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 13 | 15% |
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 17 July 2013.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#170,632
of 191,897 outputs
Outputs of similar age from BMC Genomics
#157
of 177 outputs
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