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

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 (...

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Detalles Bibliográficos
Autores principales: Padmashree, Dyavegowda, Swamy, Narayanaswamy Ramachandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2015
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702033/
https://www.ncbi.nlm.nih.gov/pubmed/26770029
http://dx.doi.org/10.6026/97320630011550
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author Padmashree, Dyavegowda
Swamy, Narayanaswamy Ramachandra
author_facet Padmashree, Dyavegowda
Swamy, Narayanaswamy Ramachandra
author_sort Padmashree, Dyavegowda
collection PubMed
description 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).
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spelling pubmed-47020332016-01-14 Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri Padmashree, Dyavegowda Swamy, Narayanaswamy Ramachandra Bioinformation Hypothesis 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). Biomedical Informatics 2015-12-31 /pmc/articles/PMC4702033/ /pubmed/26770029 http://dx.doi.org/10.6026/97320630011550 Text en © 2015 Biomedical Informatics 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.
spellingShingle Hypothesis
Padmashree, Dyavegowda
Swamy, Narayanaswamy Ramachandra
Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title_full Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title_fullStr Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title_full_unstemmed Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title_short Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri
title_sort computational identification of putative mirnas and their target genes in pathogenic amoeba naegleria fowleri
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702033/
https://www.ncbi.nlm.nih.gov/pubmed/26770029
http://dx.doi.org/10.6026/97320630011550
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