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Prediction and preliminary validation of oncogene regulation by miRNAs

BACKGROUND: MicroRNAs (miRNAs) are one of the most abundant groups of regulatory genes in multicellular organisms, playing important roles in many fundamental cellular processes. More than four hundred miRNAs have been identified in humans and the deregulation of miRNA expression has been also shown...

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Autores principales: Koscianska, Edyta, Baev, Vesselin, Skreka, Konstantinia, Oikonomaki, Katerina, Rusinov, Ventsislav, Tabler, Martin, Kalantidis, Kriton
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2096627/
https://www.ncbi.nlm.nih.gov/pubmed/17877811
http://dx.doi.org/10.1186/1471-2199-8-79
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author Koscianska, Edyta
Baev, Vesselin
Skreka, Konstantinia
Oikonomaki, Katerina
Rusinov, Ventsislav
Tabler, Martin
Kalantidis, Kriton
author_facet Koscianska, Edyta
Baev, Vesselin
Skreka, Konstantinia
Oikonomaki, Katerina
Rusinov, Ventsislav
Tabler, Martin
Kalantidis, Kriton
author_sort Koscianska, Edyta
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) are one of the most abundant groups of regulatory genes in multicellular organisms, playing important roles in many fundamental cellular processes. More than four hundred miRNAs have been identified in humans and the deregulation of miRNA expression has been also shown in many cancers. Despite the postulated involvement of miRNAs in tumourigenesis, there are only a few examples where an oncogene or a tumour suppressor has been identified as a miRNA target. RESULTS: Here, we present an in silico analysis of potential miRNA- oncogene interactions. Moreover, we have tested the validity of two possible interactions of miRNAs with genes related to cancer. We present evidence for the down-regulation of c-MYC, one of the most potent and frequently deregulated oncogenes, by let-7 miRNA, via the predicted binding site in the 3'UTR, and verify the suppression of BCL-2 by miR16. CONCLUSION: In this work both bioinformatic and experimental approaches for the prediction and validation of possible targets for miRNAs have been used. A list of putative targets for different oncomirs, validation of which would be of special interest, is proposed and two such interactions have been experimentally validated.
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spelling pubmed-20966272007-11-28 Prediction and preliminary validation of oncogene regulation by miRNAs Koscianska, Edyta Baev, Vesselin Skreka, Konstantinia Oikonomaki, Katerina Rusinov, Ventsislav Tabler, Martin Kalantidis, Kriton BMC Mol Biol Methodology Article BACKGROUND: MicroRNAs (miRNAs) are one of the most abundant groups of regulatory genes in multicellular organisms, playing important roles in many fundamental cellular processes. More than four hundred miRNAs have been identified in humans and the deregulation of miRNA expression has been also shown in many cancers. Despite the postulated involvement of miRNAs in tumourigenesis, there are only a few examples where an oncogene or a tumour suppressor has been identified as a miRNA target. RESULTS: Here, we present an in silico analysis of potential miRNA- oncogene interactions. Moreover, we have tested the validity of two possible interactions of miRNAs with genes related to cancer. We present evidence for the down-regulation of c-MYC, one of the most potent and frequently deregulated oncogenes, by let-7 miRNA, via the predicted binding site in the 3'UTR, and verify the suppression of BCL-2 by miR16. CONCLUSION: In this work both bioinformatic and experimental approaches for the prediction and validation of possible targets for miRNAs have been used. A list of putative targets for different oncomirs, validation of which would be of special interest, is proposed and two such interactions have been experimentally validated. BioMed Central 2007-09-18 /pmc/articles/PMC2096627/ /pubmed/17877811 http://dx.doi.org/10.1186/1471-2199-8-79 Text en Copyright © 2007 Koscianska et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Koscianska, Edyta
Baev, Vesselin
Skreka, Konstantinia
Oikonomaki, Katerina
Rusinov, Ventsislav
Tabler, Martin
Kalantidis, Kriton
Prediction and preliminary validation of oncogene regulation by miRNAs
title Prediction and preliminary validation of oncogene regulation by miRNAs
title_full Prediction and preliminary validation of oncogene regulation by miRNAs
title_fullStr Prediction and preliminary validation of oncogene regulation by miRNAs
title_full_unstemmed Prediction and preliminary validation of oncogene regulation by miRNAs
title_short Prediction and preliminary validation of oncogene regulation by miRNAs
title_sort prediction and preliminary validation of oncogene regulation by mirnas
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2096627/
https://www.ncbi.nlm.nih.gov/pubmed/17877811
http://dx.doi.org/10.1186/1471-2199-8-79
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