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Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci

MOTIVATION: miRNAs are potent regulators of gene expression and modulate multiple cellular processes in physiology and pathology. Deregulation of miRNAs expression has been found in various cancer types, thus, miRNAs may be potential targets for cancer therapy. However, the mechanisms through which...

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Autores principales: Falcone, Emmanuela, Grandoni, Luca, Garibaldi, Francesca, Manni, Isabella, Filligoi, Giancarlo, Piaggio, Giulia, Gurtner, Aymone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833383/
https://www.ncbi.nlm.nih.gov/pubmed/27082112
http://dx.doi.org/10.1371/journal.pone.0153658
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author Falcone, Emmanuela
Grandoni, Luca
Garibaldi, Francesca
Manni, Isabella
Filligoi, Giancarlo
Piaggio, Giulia
Gurtner, Aymone
author_facet Falcone, Emmanuela
Grandoni, Luca
Garibaldi, Francesca
Manni, Isabella
Filligoi, Giancarlo
Piaggio, Giulia
Gurtner, Aymone
author_sort Falcone, Emmanuela
collection PubMed
description MOTIVATION: miRNAs are potent regulators of gene expression and modulate multiple cellular processes in physiology and pathology. Deregulation of miRNAs expression has been found in various cancer types, thus, miRNAs may be potential targets for cancer therapy. However, the mechanisms through which miRNAs are regulated in cancer remain unclear. Therefore, the identification of transcriptional factor–miRNA crosstalk is one of the most update aspects of the study of miRNAs regulation. RESULTS: In the present study we describe the development of a fast and user-friendly software, named infinity, able to find the presence of DNA matrices, such as binding sequences for transcriptional factors, on ~65kb (kilobase) of 939 human miRNA genomic sequences, simultaneously. Of note, the power of this software has been validated in vivo by performing chromatin immunoprecipitation assays on a subset of new in silico identified target sequences (CCAAT) for the transcription factor NF-Y on colon cancer deregulated miRNA loci. Moreover, for the first time, we have demonstrated that NF-Y, through its CCAAT binding activity, regulates the expression of miRNA-181a, -181b, -21, -17, -130b, -301b in colon cancer cells. CONCLUSIONS: The infinity software that we have developed is a powerful tool to underscore new TF/miRNA regulatory networks. AVAILABILITY AND IMPLEMENTATION: Infinity was implemented in pure Java using Eclipse framework, and runs on Linux and MS Windows machine, with MySQL database. The software is freely available on the web at https://github.com/bio-devel/infinity. The website is implemented in JavaScript, PHP and HTML with all major browsers supported.
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spelling pubmed-48333832016-04-22 Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci Falcone, Emmanuela Grandoni, Luca Garibaldi, Francesca Manni, Isabella Filligoi, Giancarlo Piaggio, Giulia Gurtner, Aymone PLoS One Research Article MOTIVATION: miRNAs are potent regulators of gene expression and modulate multiple cellular processes in physiology and pathology. Deregulation of miRNAs expression has been found in various cancer types, thus, miRNAs may be potential targets for cancer therapy. However, the mechanisms through which miRNAs are regulated in cancer remain unclear. Therefore, the identification of transcriptional factor–miRNA crosstalk is one of the most update aspects of the study of miRNAs regulation. RESULTS: In the present study we describe the development of a fast and user-friendly software, named infinity, able to find the presence of DNA matrices, such as binding sequences for transcriptional factors, on ~65kb (kilobase) of 939 human miRNA genomic sequences, simultaneously. Of note, the power of this software has been validated in vivo by performing chromatin immunoprecipitation assays on a subset of new in silico identified target sequences (CCAAT) for the transcription factor NF-Y on colon cancer deregulated miRNA loci. Moreover, for the first time, we have demonstrated that NF-Y, through its CCAAT binding activity, regulates the expression of miRNA-181a, -181b, -21, -17, -130b, -301b in colon cancer cells. CONCLUSIONS: The infinity software that we have developed is a powerful tool to underscore new TF/miRNA regulatory networks. AVAILABILITY AND IMPLEMENTATION: Infinity was implemented in pure Java using Eclipse framework, and runs on Linux and MS Windows machine, with MySQL database. The software is freely available on the web at https://github.com/bio-devel/infinity. The website is implemented in JavaScript, PHP and HTML with all major browsers supported. Public Library of Science 2016-04-15 /pmc/articles/PMC4833383/ /pubmed/27082112 http://dx.doi.org/10.1371/journal.pone.0153658 Text en © 2016 Falcone et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Falcone, Emmanuela
Grandoni, Luca
Garibaldi, Francesca
Manni, Isabella
Filligoi, Giancarlo
Piaggio, Giulia
Gurtner, Aymone
Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title_full Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title_fullStr Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title_full_unstemmed Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title_short Infinity: An In-Silico Tool for Genome-Wide Prediction of Specific DNA Matrices in miRNA Genomic Loci
title_sort infinity: an in-silico tool for genome-wide prediction of specific dna matrices in mirna genomic loci
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833383/
https://www.ncbi.nlm.nih.gov/pubmed/27082112
http://dx.doi.org/10.1371/journal.pone.0153658
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