In silico exploration of miRNA from EST data of avocado and predicting its cross-kingdom effects on human
Author(s):
Drushti H. Bhatt, Neha Jha, Kaid Johar SR and Himanshu A Pandya
Abstract:
The Mature MicroRNAs (miRNAs) are small non-coding RNAs having 21~ nt long, which involves in major role in translation repression process or mRNA cleavage by targeting mRNA. In this study miRNAs Persea americana (Avocado) are identified along with their target gene, a total 16620 ESTs are taken into consideration and aligned with 325 mature miRNA of Arabidopsis thaliana retrieved from miRBase by using BLASTn tool. The 234 putative miRNAs were found to hybridize with human transcripts with psRNA Targets for predicting functional targets. The energy calculation and functional annotation of genes has been performed to find out potency of targets and designing of networks between set of human miRNAs and predicted genes has been carried out to find sequence similarities especially in “Seed†site of miRNAs. The predicted targets involve in many biological process like metabolic process and cellular process. This study may helpful to open gate for cross-species regulation and provide new insight for future in-vitro and in-vivo experiments.
How to cite this article:
Drushti H. Bhatt, Neha Jha, Kaid Johar SR, Himanshu A Pandya. In silico exploration of miRNA from EST data of avocado and predicting its cross-kingdom effects on human. Pharma Innovation 2017;6(9):542-548.