Reshmi , G and V. Janki , Mohan Babu and P.S., Saneesh Babu and W.S., Santhi and Surya , Ramachandran and M. R , Pillai (2011) dentification and analysis of novel microRNAs from fragile sites of human cervical cancer: Computational and experimental approach. Genomics, 97 (6). pp. 333-340. ISSN 1089-8646

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Abstract

Accurate identification of mature miRNAs is an important requirement for exploring the post-transcriptional regulatory mechanism of organisms. In this work we present a novel computational tool 'Mpred' which first identifies pre-miRNAs and then predicts its mature miRNAs. We first use our method to learn with high accuracy characteristic features of human miRNA precursors from miRbase registry and then apply to sequences from fragile site regions related to cervical cancer in search of novel miRNA genes. The study identified 13 putative miRNA-like sequences and most of them were not related to each other and do not share homology with annotated sequences. Finally, four of the top scoring predictions were verified experimentally using quantitative RT-PCR validation. Expression profile studies revealed that four novel miRs were present in cervical tissues and these data compiled here provide a regulatory framework of miRNA genes that may have roles in tumorigenesis

Item Type:	Article
Uncontrolled Keywords:	Artificial neural network; Hidden Markov model; MicroRNAs; Fragile sites; Quantitative real-time PCR
Subjects:	Cancer Research
Depositing User:	Central Library RGCB
Date Deposited:	24 Apr 2017 10:15
Last Modified:	24 Apr 2017 10:15
URI:	http://rgcb.sciencecentral.in/id/eprint/350

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