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Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function

MicroRNAs (miRNAs) are ubiquitously expressed small non-coding RNAs that, in most cases, negatively regulate gene expression at the post-transcriptional level. miRNAs are involved in fine-tuning fundamental cellular processes such as proliferation, cell death and cell cycle control and are believed...

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Autores principales: Nazarov, Petr V., Reinsbach, Susanne E., Muller, Arnaud, Nicot, Nathalie, Philippidou, Demetra, Vallar, Laurent, Kreis, Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3597666/
https://www.ncbi.nlm.nih.gov/pubmed/23335783
http://dx.doi.org/10.1093/nar/gks1471
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author Nazarov, Petr V.
Reinsbach, Susanne E.
Muller, Arnaud
Nicot, Nathalie
Philippidou, Demetra
Vallar, Laurent
Kreis, Stephanie
author_facet Nazarov, Petr V.
Reinsbach, Susanne E.
Muller, Arnaud
Nicot, Nathalie
Philippidou, Demetra
Vallar, Laurent
Kreis, Stephanie
author_sort Nazarov, Petr V.
collection PubMed
description MicroRNAs (miRNAs) are ubiquitously expressed small non-coding RNAs that, in most cases, negatively regulate gene expression at the post-transcriptional level. miRNAs are involved in fine-tuning fundamental cellular processes such as proliferation, cell death and cell cycle control and are believed to confer robustness to biological responses. Here, we investigated simultaneously the transcriptional changes of miRNA and mRNA expression levels over time after activation of the Janus kinase/Signal transducer and activator of transcription (Jak/STAT) pathway by interferon-γ stimulation of melanoma cells. To examine global miRNA and mRNA expression patterns, time-series microarray data were analysed. We observed delayed responses of miRNAs (after 24–48 h) with respect to mRNAs (12–24 h) and identified biological functions involved at each step of the cellular response. Inference of the upstream regulators allowed for identification of transcriptional regulators involved in cellular reactions to interferon-γ stimulation. Linking expression profiles of transcriptional regulators and miRNAs with their annotated functions, we demonstrate the dynamic interplay of miRNAs and upstream regulators with biological functions. Finally, our data revealed network motifs in the form of feed-forward loops involving transcriptional regulators, mRNAs and miRNAs. Additional information obtained from integrating time-series mRNA and miRNA data may represent an important step towards understanding the regulatory principles of gene expression.
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spelling pubmed-35976662013-03-15 Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function Nazarov, Petr V. Reinsbach, Susanne E. Muller, Arnaud Nicot, Nathalie Philippidou, Demetra Vallar, Laurent Kreis, Stephanie Nucleic Acids Res Computational Biology MicroRNAs (miRNAs) are ubiquitously expressed small non-coding RNAs that, in most cases, negatively regulate gene expression at the post-transcriptional level. miRNAs are involved in fine-tuning fundamental cellular processes such as proliferation, cell death and cell cycle control and are believed to confer robustness to biological responses. Here, we investigated simultaneously the transcriptional changes of miRNA and mRNA expression levels over time after activation of the Janus kinase/Signal transducer and activator of transcription (Jak/STAT) pathway by interferon-γ stimulation of melanoma cells. To examine global miRNA and mRNA expression patterns, time-series microarray data were analysed. We observed delayed responses of miRNAs (after 24–48 h) with respect to mRNAs (12–24 h) and identified biological functions involved at each step of the cellular response. Inference of the upstream regulators allowed for identification of transcriptional regulators involved in cellular reactions to interferon-γ stimulation. Linking expression profiles of transcriptional regulators and miRNAs with their annotated functions, we demonstrate the dynamic interplay of miRNAs and upstream regulators with biological functions. Finally, our data revealed network motifs in the form of feed-forward loops involving transcriptional regulators, mRNAs and miRNAs. Additional information obtained from integrating time-series mRNA and miRNA data may represent an important step towards understanding the regulatory principles of gene expression. Oxford University Press 2013-03 2013-01-17 /pmc/articles/PMC3597666/ /pubmed/23335783 http://dx.doi.org/10.1093/nar/gks1471 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Nazarov, Petr V.
Reinsbach, Susanne E.
Muller, Arnaud
Nicot, Nathalie
Philippidou, Demetra
Vallar, Laurent
Kreis, Stephanie
Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title_full Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title_fullStr Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title_full_unstemmed Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title_short Interplay of microRNAs, transcription factors and target genes: linking dynamic expression changes to function
title_sort interplay of micrornas, transcription factors and target genes: linking dynamic expression changes to function
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3597666/
https://www.ncbi.nlm.nih.gov/pubmed/23335783
http://dx.doi.org/10.1093/nar/gks1471
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