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Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell

MicroRNAs (miRNAs) are small noncoding RNAs that attenuate expression of their mRNA targets. Here, we developed a new method and an R package, to easily infer candidate miRNA–mRNA target interactions that could be functional during a given biological process. Using this method, we described, for the...

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Autores principales: Kassambara, Alboukadel, Jourdan, Michel, Bruyer, Angélique, Robert, Nicolas, Pantesco, Véronique, Elemento, Olivier, Klein, Bernard, Moreaux, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449613/
https://www.ncbi.nlm.nih.gov/pubmed/28459970
http://dx.doi.org/10.1093/nar/gkx327
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author Kassambara, Alboukadel
Jourdan, Michel
Bruyer, Angélique
Robert, Nicolas
Pantesco, Véronique
Elemento, Olivier
Klein, Bernard
Moreaux, Jérôme
author_facet Kassambara, Alboukadel
Jourdan, Michel
Bruyer, Angélique
Robert, Nicolas
Pantesco, Véronique
Elemento, Olivier
Klein, Bernard
Moreaux, Jérôme
author_sort Kassambara, Alboukadel
collection PubMed
description MicroRNAs (miRNAs) are small noncoding RNAs that attenuate expression of their mRNA targets. Here, we developed a new method and an R package, to easily infer candidate miRNA–mRNA target interactions that could be functional during a given biological process. Using this method, we described, for the first time, a comprehensive integrated analysis of miRNAs and mRNAs during human normal plasma cell differentiation (PCD). Our results reveal 63 miRNAs with significant temporal changes in their expression during normal PCD. We derived a high-confidence network of 295 target relationships comprising 47 miRNAs and 141 targets. These relationships include new examples of miRNAs that appear to coordinately regulate multiple members of critical pathways associated with PCD. Consistent with this, we have experimentally validated a role for the miRNA-30b/c/d-mediated regulation of key PCD factors (IRF4, PRDM1, ELL2 and ARID3A). Furthermore, we found that 24 PCD stage-specific miRNAs are aberrantly overexpressed in multiple myeloma (MM) tumor plasma cells compared to their normal counterpart, suggesting that MM cells frequently acquired expression changes in miRNAs already undergoing dynamic expression modulation during normal PCD. Altogether, our analysis identifies candidate novel key miRNAs regulating networks of significance for normal PCD and malignant plasma cell biology.
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spelling pubmed-54496132017-06-05 Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell Kassambara, Alboukadel Jourdan, Michel Bruyer, Angélique Robert, Nicolas Pantesco, Véronique Elemento, Olivier Klein, Bernard Moreaux, Jérôme Nucleic Acids Res Computational Biology MicroRNAs (miRNAs) are small noncoding RNAs that attenuate expression of their mRNA targets. Here, we developed a new method and an R package, to easily infer candidate miRNA–mRNA target interactions that could be functional during a given biological process. Using this method, we described, for the first time, a comprehensive integrated analysis of miRNAs and mRNAs during human normal plasma cell differentiation (PCD). Our results reveal 63 miRNAs with significant temporal changes in their expression during normal PCD. We derived a high-confidence network of 295 target relationships comprising 47 miRNAs and 141 targets. These relationships include new examples of miRNAs that appear to coordinately regulate multiple members of critical pathways associated with PCD. Consistent with this, we have experimentally validated a role for the miRNA-30b/c/d-mediated regulation of key PCD factors (IRF4, PRDM1, ELL2 and ARID3A). Furthermore, we found that 24 PCD stage-specific miRNAs are aberrantly overexpressed in multiple myeloma (MM) tumor plasma cells compared to their normal counterpart, suggesting that MM cells frequently acquired expression changes in miRNAs already undergoing dynamic expression modulation during normal PCD. Altogether, our analysis identifies candidate novel key miRNAs regulating networks of significance for normal PCD and malignant plasma cell biology. Oxford University Press 2017-06-02 2017-04-29 /pmc/articles/PMC5449613/ /pubmed/28459970 http://dx.doi.org/10.1093/nar/gkx327 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Kassambara, Alboukadel
Jourdan, Michel
Bruyer, Angélique
Robert, Nicolas
Pantesco, Véronique
Elemento, Olivier
Klein, Bernard
Moreaux, Jérôme
Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title_full Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title_fullStr Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title_full_unstemmed Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title_short Global miRNA expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
title_sort global mirna expression analysis identifies novel key regulators of plasma cell differentiation and malignant plasma cell
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5449613/
https://www.ncbi.nlm.nih.gov/pubmed/28459970
http://dx.doi.org/10.1093/nar/gkx327
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