MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach was used for the identification and function analysis of novel miRNA candidates in Capra hircus. As a result, a total of 13 potential microRNA candidates were detected following a range of filtering criteria. 153 non-redundant presumable target genes were predicted in Ovis aries 3′-Untranslated region database. 149 protein sequences were mapped by BLASTX, 2,517 GO terms were returned and distributed in biological process, molecular function and cell component. 66 KEGG pathways were also involved by these novel miRNAs. The qRT-PCR based assay was performed to validate the authenticity of these novel miRNA candidates. The results indicate the expressed sequence tags analysis is an efficient and affordable approach for identifying novel microRNA candidates, and our study provides insight into the further researches of miRNAs and their functions in Capra hircus.
Published in | International Journal of Data Science and Analysis (Volume 2, Issue 2) |
DOI | 10.11648/j.ijdsa.20160202.12 |
Page(s) | 21-31 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2016. Published by Science Publishing Group |
MicroRNA, Target Gene, Capra Hircus, EST, GO, KEGG, Blast2GO
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APA Style
Zhibin Ji, Guizhi Wang, Fei Dong, Lei Hou, Zhaohua Liu, et al. (2016). Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus. International Journal of Data Science and Analysis, 2(2), 21-31. https://doi.org/10.11648/j.ijdsa.20160202.12
ACS Style
Zhibin Ji; Guizhi Wang; Fei Dong; Lei Hou; Zhaohua Liu, et al. Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus. Int. J. Data Sci. Anal. 2016, 2(2), 21-31. doi: 10.11648/j.ijdsa.20160202.12
@article{10.11648/j.ijdsa.20160202.12, author = {Zhibin Ji and Guizhi Wang and Fei Dong and Lei Hou and Zhaohua Liu and Tianle Chao and Jianmin Wang}, title = {Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus}, journal = {International Journal of Data Science and Analysis}, volume = {2}, number = {2}, pages = {21-31}, doi = {10.11648/j.ijdsa.20160202.12}, url = {https://doi.org/10.11648/j.ijdsa.20160202.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20160202.12}, abstract = {MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach was used for the identification and function analysis of novel miRNA candidates in Capra hircus. As a result, a total of 13 potential microRNA candidates were detected following a range of filtering criteria. 153 non-redundant presumable target genes were predicted in Ovis aries 3′-Untranslated region database. 149 protein sequences were mapped by BLASTX, 2,517 GO terms were returned and distributed in biological process, molecular function and cell component. 66 KEGG pathways were also involved by these novel miRNAs. The qRT-PCR based assay was performed to validate the authenticity of these novel miRNA candidates. The results indicate the expressed sequence tags analysis is an efficient and affordable approach for identifying novel microRNA candidates, and our study provides insight into the further researches of miRNAs and their functions in Capra hircus.}, year = {2016} }
TY - JOUR T1 - Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus AU - Zhibin Ji AU - Guizhi Wang AU - Fei Dong AU - Lei Hou AU - Zhaohua Liu AU - Tianle Chao AU - Jianmin Wang Y1 - 2016/12/30 PY - 2016 N1 - https://doi.org/10.11648/j.ijdsa.20160202.12 DO - 10.11648/j.ijdsa.20160202.12 T2 - International Journal of Data Science and Analysis JF - International Journal of Data Science and Analysis JO - International Journal of Data Science and Analysis SP - 21 EP - 31 PB - Science Publishing Group SN - 2575-1891 UR - https://doi.org/10.11648/j.ijdsa.20160202.12 AB - MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach was used for the identification and function analysis of novel miRNA candidates in Capra hircus. As a result, a total of 13 potential microRNA candidates were detected following a range of filtering criteria. 153 non-redundant presumable target genes were predicted in Ovis aries 3′-Untranslated region database. 149 protein sequences were mapped by BLASTX, 2,517 GO terms were returned and distributed in biological process, molecular function and cell component. 66 KEGG pathways were also involved by these novel miRNAs. The qRT-PCR based assay was performed to validate the authenticity of these novel miRNA candidates. The results indicate the expressed sequence tags analysis is an efficient and affordable approach for identifying novel microRNA candidates, and our study provides insight into the further researches of miRNAs and their functions in Capra hircus. VL - 2 IS - 2 ER -