title: Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri.
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 miRNA targets were analyzed by using miRanda (software) and further studied the functions by subsequently annotating using AmiGo (a gene ontology web tool).
authors.affiliation: Department of Biochemistry, Central College Campus, Bangalore University, Bangalore, Karnataka, India.
authors.forename: Dyavegowda
authors.initials: D
authors.lastname: Padmashree
authors.affiliation: Department of Biochemistry, Central College Campus, Bangalore University, Bangalore, Karnataka, India.
authors.forename: Narayanaswamy Ramachandra
authors.initials: NR
authors.lastname: Swamy
keywords: Computational approach; Naegleria fowleri; PAM; Prediction; miRNAs