Prediction and characterization of micrornas from eleven fish species by computational methods
Joint Authors
Zou, Quan
Huang, Yong
Sun, Xi Hong
Ren, Hong Tao
Source
Saudi Journal of Biological Sciences
Issue
Vol. 22, Issue 4 (31 Dec. 2015), pp.374-381, 8 p.
Publisher
Publication Date
2015-12-31
Country of Publication
Saudi Arabia
No. of Pages
8
Main Subjects
Topics
Abstract EN
Abstract MicroRNAs (miRNAs) are a family of single-stranded RNA molecules about 22 nt in length, which can regulate protein-coding gene expression in various organisms by post-transcriptional repression of messenger.
In this research, the potential miRNAs and their target genes were analyzed and predicted by computational methods from the EST and GSS databases of eleven fish species, 43 potential miRNAs were identified, they belong to 38 miRNA families, some miRNAs are highly conserved in animal kingdom, the predicted target genes are involved in development, signal transduction, response to environmental stress and pathogen invasion.
Taken together, our data suggest that there are a plentiful of miRNAs in these eleven fish species, these miRNAs may play some important roles by regulating their target genes, and the data provide important information for further functional studies.
American Psychological Association (APA)
Huang, Yong& Zou, Quan& Ren, Hong Tao& Sun, Xi Hong. 2015. Prediction and characterization of micrornas from eleven fish species by computational methods. Saudi Journal of Biological Sciences،Vol. 22, no. 4, pp.374-381.
https://search.emarefa.net/detail/BIM-577358
Modern Language Association (MLA)
Huang, Yong…[et al.]. Prediction and characterization of micrornas from eleven fish species by computational methods. Saudi Journal of Biological Sciences Vol. 22, no. 4 (2015), pp.374-381.
https://search.emarefa.net/detail/BIM-577358
American Medical Association (AMA)
Huang, Yong& Zou, Quan& Ren, Hong Tao& Sun, Xi Hong. Prediction and characterization of micrornas from eleven fish species by computational methods. Saudi Journal of Biological Sciences. 2015. Vol. 22, no. 4, pp.374-381.
https://search.emarefa.net/detail/BIM-577358
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 381
Record ID
BIM-577358