MIRTFnet: analysis of miRNA regulated transcription factors.

<h4>Background</h4>Several expression datasets of miRNA transfection experiments are available to analyze the regulatory mechanisms downstream of miRNA effects. The miRNA induced regulatory effects can be propagated via transcription factors (TFs). We propose the method MIRTFnet to ident...

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Main Authors: Haroon Naeem, Robert Küffner, Ralf Zimmer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21857930/?tool=EBI
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spelling doaj-714ca0bfb22c4cdf8eaf356379161d3f2021-03-04T01:39:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0168e2251910.1371/journal.pone.0022519MIRTFnet: analysis of miRNA regulated transcription factors.Haroon NaeemRobert KüffnerRalf Zimmer<h4>Background</h4>Several expression datasets of miRNA transfection experiments are available to analyze the regulatory mechanisms downstream of miRNA effects. The miRNA induced regulatory effects can be propagated via transcription factors (TFs). We propose the method MIRTFnet to identify miRNA controlled TFs as active regulators if their downstream target genes are differentially expressed.<h4>Methodology/principal findings</h4>MIRTFnet enables the determination of active transcription factors (TFs) and is sensitive enough to exploit the small expression changes induced by the activity of miRNAs. For this purpose, different statistical tests were evaluated and compared. Based on the identified TFs, databases, computational predictions and the literature we construct regulatory models downstream of miRNA actions. Transfecting miRNAs are connected to active regulators via a network of miRNA-TF, miRNA-kinase-TF as well as TF-TF relationships. Based on 43 transfection experiments involving 17 cancer relevant miRNAs we show that MIRTFnet detects active regulators reliably.<h4>Conclusions/significance</h4>The consensus of the individual regulatory models shows that the examined miRNAs induce activity changes in a common core of transcription factors involved in cancer related processes such as proliferation or apoptosis.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21857930/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Haroon Naeem
Robert Küffner
Ralf Zimmer
spellingShingle Haroon Naeem
Robert Küffner
Ralf Zimmer
MIRTFnet: analysis of miRNA regulated transcription factors.
PLoS ONE
author_facet Haroon Naeem
Robert Küffner
Ralf Zimmer
author_sort Haroon Naeem
title MIRTFnet: analysis of miRNA regulated transcription factors.
title_short MIRTFnet: analysis of miRNA regulated transcription factors.
title_full MIRTFnet: analysis of miRNA regulated transcription factors.
title_fullStr MIRTFnet: analysis of miRNA regulated transcription factors.
title_full_unstemmed MIRTFnet: analysis of miRNA regulated transcription factors.
title_sort mirtfnet: analysis of mirna regulated transcription factors.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description <h4>Background</h4>Several expression datasets of miRNA transfection experiments are available to analyze the regulatory mechanisms downstream of miRNA effects. The miRNA induced regulatory effects can be propagated via transcription factors (TFs). We propose the method MIRTFnet to identify miRNA controlled TFs as active regulators if their downstream target genes are differentially expressed.<h4>Methodology/principal findings</h4>MIRTFnet enables the determination of active transcription factors (TFs) and is sensitive enough to exploit the small expression changes induced by the activity of miRNAs. For this purpose, different statistical tests were evaluated and compared. Based on the identified TFs, databases, computational predictions and the literature we construct regulatory models downstream of miRNA actions. Transfecting miRNAs are connected to active regulators via a network of miRNA-TF, miRNA-kinase-TF as well as TF-TF relationships. Based on 43 transfection experiments involving 17 cancer relevant miRNAs we show that MIRTFnet detects active regulators reliably.<h4>Conclusions/significance</h4>The consensus of the individual regulatory models shows that the examined miRNAs induce activity changes in a common core of transcription factors involved in cancer related processes such as proliferation or apoptosis.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21857930/?tool=EBI
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AT robertkuffner mirtfnetanalysisofmirnaregulatedtranscriptionfactors
AT ralfzimmer mirtfnetanalysisofmirnaregulatedtranscriptionfactors
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