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Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells

BACKGROUND: The classical view on eukaryotic gene expression proposes the scheme of a forward flow for which fluctuations in mRNA levels upon a stimulus contribute to determine variations in mRNA availability for translation. Here we address this issue by simultaneously profiling with microarrays th...

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Autores principales: Tebaldi, Toma, Re, Angela, Viero, Gabriella, Pegoretti, Ilaria, Passerini, Andrea, Blanzieri, Enrico, Quattrone, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441405/
https://www.ncbi.nlm.nih.gov/pubmed/22672192
http://dx.doi.org/10.1186/1471-2164-13-220
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author Tebaldi, Toma
Re, Angela
Viero, Gabriella
Pegoretti, Ilaria
Passerini, Andrea
Blanzieri, Enrico
Quattrone, Alessandro
author_facet Tebaldi, Toma
Re, Angela
Viero, Gabriella
Pegoretti, Ilaria
Passerini, Andrea
Blanzieri, Enrico
Quattrone, Alessandro
author_sort Tebaldi, Toma
collection PubMed
description BACKGROUND: The classical view on eukaryotic gene expression proposes the scheme of a forward flow for which fluctuations in mRNA levels upon a stimulus contribute to determine variations in mRNA availability for translation. Here we address this issue by simultaneously profiling with microarrays the total mRNAs (the transcriptome) and the polysome-associated mRNAs (the translatome) after EGF treatment of human cells, and extending the analysis to other 19 different transcriptome/translatome comparisons in mammalian cells following different stimuli or undergoing cell programs. RESULTS: Triggering of the EGF pathway results in an early induction of transcriptome and translatome changes, but 90% of the significant variation is limited to the translatome and the degree of concordant changes is less than 5%. The survey of other 19 different transcriptome/translatome comparisons shows that extensive uncoupling is a general rule, in terms of both RNA movements and inferred cell activities, with a strong tendency of translation-related genes to be controlled purely at the translational level. By different statistical approaches, we finally provide evidence of the lack of dependence between changes at the transcriptome and translatome levels. CONCLUSIONS: We propose a model of diffused independency between variation in transcript abundances and variation in their engagement on polysomes, which implies the existence of specific mechanisms to couple these two ways of regulating gene expression.
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spelling pubmed-34414052012-09-18 Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells Tebaldi, Toma Re, Angela Viero, Gabriella Pegoretti, Ilaria Passerini, Andrea Blanzieri, Enrico Quattrone, Alessandro BMC Genomics Research Article BACKGROUND: The classical view on eukaryotic gene expression proposes the scheme of a forward flow for which fluctuations in mRNA levels upon a stimulus contribute to determine variations in mRNA availability for translation. Here we address this issue by simultaneously profiling with microarrays the total mRNAs (the transcriptome) and the polysome-associated mRNAs (the translatome) after EGF treatment of human cells, and extending the analysis to other 19 different transcriptome/translatome comparisons in mammalian cells following different stimuli or undergoing cell programs. RESULTS: Triggering of the EGF pathway results in an early induction of transcriptome and translatome changes, but 90% of the significant variation is limited to the translatome and the degree of concordant changes is less than 5%. The survey of other 19 different transcriptome/translatome comparisons shows that extensive uncoupling is a general rule, in terms of both RNA movements and inferred cell activities, with a strong tendency of translation-related genes to be controlled purely at the translational level. By different statistical approaches, we finally provide evidence of the lack of dependence between changes at the transcriptome and translatome levels. CONCLUSIONS: We propose a model of diffused independency between variation in transcript abundances and variation in their engagement on polysomes, which implies the existence of specific mechanisms to couple these two ways of regulating gene expression. BioMed Central 2012-06-06 /pmc/articles/PMC3441405/ /pubmed/22672192 http://dx.doi.org/10.1186/1471-2164-13-220 Text en Copyright ©2012 Tebaldi 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 Research Article
Tebaldi, Toma
Re, Angela
Viero, Gabriella
Pegoretti, Ilaria
Passerini, Andrea
Blanzieri, Enrico
Quattrone, Alessandro
Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title_full Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title_fullStr Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title_full_unstemmed Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title_short Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
title_sort widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441405/
https://www.ncbi.nlm.nih.gov/pubmed/22672192
http://dx.doi.org/10.1186/1471-2164-13-220
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