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Title

Identification of miRNAs in C. roseus and their potential targets

 

Authors

Ankur Omer1*, Sandeep Singh2, Naveen Duhan3

 

Affiliation

1Assistant Professor, Department of Bioinformatics and Computers, Dolphin College of Life Sciences, Fatehgarh Sahib, Punjab, Pin Code: 140307, India; 2Assistant Professor, Department of Biotechnology, Lovely Professional University (LPU), Jalandhar - Delhi G.T. Road (NH-1), Phagwara, Punjab, Pin Code: 144402, India; 3Department of Bioinformatics and Computers, Dolphin College of Life Sciences, Fatehgarh Sahib, Punjab, Pin Code: 140307, India

 

Email

ankuromer05@rediffmail.com; *Corresponding authors

 

Article Type

Hypothesis

 

Date

Received January 03, 2012; Accepted January 07, 2012; Published January 20, 2012

Abstract

MicroRNAs are small (20-22 nucleotides) none coding, regulatory RNAs, whose pivotal role in gene expression has been associated in number of diseases, therefore prediction of miRNA is an essential yet challenging field. In this study miRNAs of C. roseus are predicted along with their possible target genes. A total of 19,899 ESTs were downloaded from dbEST database and processed and trimmed through SeqClean. Nine sequences were trashed and 31 sequences were trimmed by the program and the resulting sequences were submitted to Repeatmasker and TGICL for clustering and assembly. This contig database was now used to find the putative miRNAs by performing a local BLAST with the miRNAs of B. rapa retrieved from miRBase. The targets were scanned by hybridizing screened ESTs with the UTRs of human using miRanda software. Finally, 7 putative miRNAs were found to hybridize with the various targets of signal transduction and apoptosis that may play significant role in preventing diseases like Leukemia, Arthritis and Alzheimer.

 

Citation

Omer et al. Bioinformation 8(2): 075-080 (2012)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.