TargetCompare: A web interface to compare simultaneous miRNAs targets

MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling network. Therefore, it is of interest to study mult...

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Main Authors: Moreira, Fabiano Cordeiro, Dustan, Bruno, Hamoy, Igor G, Ribeiro-dos-Santos, André M, dos Santos, Ândrea Ribeiro
Format: Online
Language:English
Published: Biomedical Informatics 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209372/
id pubmed-4209372
recordtype oai_dc
spelling pubmed-42093722014-10-28 TargetCompare: A web interface to compare simultaneous miRNAs targets Moreira, Fabiano Cordeiro Dustan, Bruno Hamoy, Igor G Ribeiro-dos-Santos, André M dos Santos, Ândrea Ribeiro Software MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling network. Therefore, it is of interest to study multiple target genes simultaneously. Hence, we describe a web tool (developed using Java programming language and MySQL database server) to analyse multiple targets of pre-selected miRNAs. We cross validated the tool in eight most highly expressed miRNAs in the antrum region of stomach. This helped to identify 43 potential genes that are target of at least six of the referred miRNAs. The developed tool aims to reduce the randomness and increase the chance of selecting strong candidate target genes and miRNAs responsible for playing important roles in the studied tissue. Biomedical Informatics 2014-09-30 /pmc/articles/PMC4209372/ /pubmed/25352731 http://dx.doi.org/10.6026/97320630010602 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Moreira, Fabiano Cordeiro
Dustan, Bruno
Hamoy, Igor G
Ribeiro-dos-Santos, André M
dos Santos, Ândrea Ribeiro
spellingShingle Moreira, Fabiano Cordeiro
Dustan, Bruno
Hamoy, Igor G
Ribeiro-dos-Santos, André M
dos Santos, Ândrea Ribeiro
TargetCompare: A web interface to compare simultaneous miRNAs targets
author_facet Moreira, Fabiano Cordeiro
Dustan, Bruno
Hamoy, Igor G
Ribeiro-dos-Santos, André M
dos Santos, Ândrea Ribeiro
author_sort Moreira, Fabiano Cordeiro
title TargetCompare: A web interface to compare simultaneous miRNAs targets
title_short TargetCompare: A web interface to compare simultaneous miRNAs targets
title_full TargetCompare: A web interface to compare simultaneous miRNAs targets
title_fullStr TargetCompare: A web interface to compare simultaneous miRNAs targets
title_full_unstemmed TargetCompare: A web interface to compare simultaneous miRNAs targets
title_sort targetcompare: a web interface to compare simultaneous mirnas targets
description MicroRNAs (miRNAs) are small non-coding nucleotide sequences between 17 and 25 nucleotides in length that primarily function in the regulation of gene expression. A since miRNA has thousand of predict targets in a complex, regulatory cell signaling network. Therefore, it is of interest to study multiple target genes simultaneously. Hence, we describe a web tool (developed using Java programming language and MySQL database server) to analyse multiple targets of pre-selected miRNAs. We cross validated the tool in eight most highly expressed miRNAs in the antrum region of stomach. This helped to identify 43 potential genes that are target of at least six of the referred miRNAs. The developed tool aims to reduce the randomness and increase the chance of selecting strong candidate target genes and miRNAs responsible for playing important roles in the studied tissue.
publisher Biomedical Informatics
publishDate 2014
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209372/
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