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Title |
Computational identification of putative miRNAs and their target genes in pathogenic amoeba Naegleria fowleri |
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Authors |
Dyavegowda Padmashree & Narayanaswamy Ramachandra Swamy*
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Affiliation |
Department of Biochemistry, Central College Campus, Bangalore University, Bangalore, Karnataka, India |
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drnrswamy@bub.ernet.in ; *Corresponding author
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Article Type |
Hypothesis
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Date |
Received December 05, 2015; Revised December 11, 2015; Accepted December 12, 2015; Published December 31, 2015
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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) |
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Citation |
Padmashree & Swamy Bioinformation 11(12):550-557 (2015) |
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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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.
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