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Identification of miR-34a-target interactions by a combined network based and experimental approach

Circulating miRNAs have been associated with numerous human diseases. The lack of understanding the functional roles of blood-born miRNAs limits, however, largely their value as disease marker. In a systems biology analysis we identified miR-34a as strongly associated with pathogenesis. Genome-wide...

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Autores principales: Hart, Martin, Rheinheimer, Stefanie, Leidinger, Petra, Backes, Christina, Menegatti, Jennifer, Fehlmann, Tobias, Grässer, Friedrich, Keller, Andreas, Meese, Eckart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085156/
https://www.ncbi.nlm.nih.gov/pubmed/27144431
http://dx.doi.org/10.18632/oncotarget.9103
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author Hart, Martin
Rheinheimer, Stefanie
Leidinger, Petra
Backes, Christina
Menegatti, Jennifer
Fehlmann, Tobias
Grässer, Friedrich
Keller, Andreas
Meese, Eckart
author_facet Hart, Martin
Rheinheimer, Stefanie
Leidinger, Petra
Backes, Christina
Menegatti, Jennifer
Fehlmann, Tobias
Grässer, Friedrich
Keller, Andreas
Meese, Eckart
author_sort Hart, Martin
collection PubMed
description Circulating miRNAs have been associated with numerous human diseases. The lack of understanding the functional roles of blood-born miRNAs limits, however, largely their value as disease marker. In a systems biology analysis we identified miR-34a as strongly associated with pathogenesis. Genome-wide analysis of miRNAs in blood cell fractions highlighted miR-34a as most significantly up-regulated in CD3+ cells of lung cancer patients. By our in silico analysis members of the protein kinase C family (PKC) were indicated as miR-34a target genes. Using a luciferase assay, we confirmed binding of miR-34a-5p to target sequences within the 3′UTRs of five PKC family members. To verify the biological effect, we transfected HEK 293T and Jurkat cells with miR-34a-5p causing reduced endogenous protein levels of PKC isozymes. By combining bioinformatics approaches with experimental validation, we demonstrate that one of the most relevant disease associated miRNAs has the ability to control the expression of a gene family.
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spelling pubmed-50851562016-10-31 Identification of miR-34a-target interactions by a combined network based and experimental approach Hart, Martin Rheinheimer, Stefanie Leidinger, Petra Backes, Christina Menegatti, Jennifer Fehlmann, Tobias Grässer, Friedrich Keller, Andreas Meese, Eckart Oncotarget Research Paper Circulating miRNAs have been associated with numerous human diseases. The lack of understanding the functional roles of blood-born miRNAs limits, however, largely their value as disease marker. In a systems biology analysis we identified miR-34a as strongly associated with pathogenesis. Genome-wide analysis of miRNAs in blood cell fractions highlighted miR-34a as most significantly up-regulated in CD3+ cells of lung cancer patients. By our in silico analysis members of the protein kinase C family (PKC) were indicated as miR-34a target genes. Using a luciferase assay, we confirmed binding of miR-34a-5p to target sequences within the 3′UTRs of five PKC family members. To verify the biological effect, we transfected HEK 293T and Jurkat cells with miR-34a-5p causing reduced endogenous protein levels of PKC isozymes. By combining bioinformatics approaches with experimental validation, we demonstrate that one of the most relevant disease associated miRNAs has the ability to control the expression of a gene family. Impact Journals LLC 2016-04-29 /pmc/articles/PMC5085156/ /pubmed/27144431 http://dx.doi.org/10.18632/oncotarget.9103 Text en Copyright: © 2016 Hart et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Hart, Martin
Rheinheimer, Stefanie
Leidinger, Petra
Backes, Christina
Menegatti, Jennifer
Fehlmann, Tobias
Grässer, Friedrich
Keller, Andreas
Meese, Eckart
Identification of miR-34a-target interactions by a combined network based and experimental approach
title Identification of miR-34a-target interactions by a combined network based and experimental approach
title_full Identification of miR-34a-target interactions by a combined network based and experimental approach
title_fullStr Identification of miR-34a-target interactions by a combined network based and experimental approach
title_full_unstemmed Identification of miR-34a-target interactions by a combined network based and experimental approach
title_short Identification of miR-34a-target interactions by a combined network based and experimental approach
title_sort identification of mir-34a-target interactions by a combined network based and experimental approach
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085156/
https://www.ncbi.nlm.nih.gov/pubmed/27144431
http://dx.doi.org/10.18632/oncotarget.9103
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