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Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells
- Source :
- BMC Genomics, Vol 13, Iss 1, p 220 (2012), BMC Genomics, BMC genomics 13 (2012). doi:10.1186/1471-2164-13-220, info:cnr-pdr/source/autori:Tebaldi T; Re A; Viero G; Pegoretti I; Passerini A; Blanzieri E; Quattrone A/titolo:Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells/doi:10.1186%2F1471-2164-13-220/rivista:BMC genomics/anno:2012/pagina_da:/pagina_a:/intervallo_pagine:/volume:13
- Publisher :
- Springer Nature
-
Abstract
- 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.
- Subjects :
- computational modeling
lcsh:QH426-470
lcsh:Biotechnology
omic
Computational biology
Biology
Proteomics
Translatome
Transcriptome
03 medical and health sciences
Polysome
lcsh:TP248.13-248.65
Gene expression
Control
Genetics
Humans
Gene
030304 developmental biology
Regulation of gene expression
0303 health sciences
Messenger RNA
Epidermal Growth Factor
Profiling
030302 biochemistry & molecular biology
Translational
gene regulation
ErbB Receptors
lcsh:Genetics
Gene Expression Regulation
Protein Biosynthesis
RNA
DNA microarray
Polysomal
Research Article
HeLa Cells
Signal Transduction
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 14712164
- Volume :
- 13
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Genomics
- Accession number :
- edsair.doi.dedup.....18969da4d7fec767b47813bad47d8f76
- Full Text :
- https://doi.org/10.1186/1471-2164-13-220