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Title

Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri

Authors

 Dyavegowda Padmashree  & Narayanaswamy Ramachandra Swamy*

 

 

Affiliation

Department of Biochemistry, Central College Campus, Bangalore University, Bangalore, Karnataka, India

Email

drnrswamy@bub.ernet.in ;   *Corresponding author

 

Article Type

Hypothesis

 

Date

Received December 05, 2015; Revised December 11, 2015; Accepted December 12, 2015; Published December 31, 2015

 

Abstract

Naegleria fowleri is a parasitic unicellular free living eukaryotic amoeba. The parasite spreads through contaminated water and causes primary amoebic meningoencephalitis (PAM). Therefore, it is of interest to understand its molecular pathogenesis. Hence, we analyzed the parasite genome for miRNAs (microRNAs) that are non-coding, single stranded RNA molecules. We identified 245 miRNAs using computational methods in N. fowleri, of which five miRNAs are conserved. The predicted miRNAs targets were analyzed by using miRanda (software) and further studied the functions by subsequently annotating using AmiGo (a gene ontology web tool)

Keywords miRNAs, Computational approach, Naegleria fowleri, PAM, Prediction
Supporting Material Table 2 (also available with authors)

Citation

Padmashree & Swamy  Bioinformation 11(12):550-557 (2015)
 

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.