Literature DB >> 27007479

The importance of controlling mRNA turnover during cell proliferation.

Sebastián Chávez1,2, José García-Martínez3,4, Lidia Delgado-Ramos5,6, José E Pérez-Ortín7,8.   

Abstract

Microbial gene expression depends not only on specific regulatory mechanisms, but also on cellular growth because important global parameters, such as abundance of mRNAs and ribosomes, could be growth rate dependent. Understanding these global effects is necessary to quantitatively judge gene regulation. In the last few years, transcriptomic works in budding yeast have shown that a large fraction of its genes is coordinately regulated with growth rate. As mRNA levels depend simultaneously on synthesis and degradation rates, those studies were unable to discriminate the respective roles of both arms of the equilibrium process. We recently analyzed 80 different genomic experiments and found a positive and parallel correlation between both RNA polymerase II transcription and mRNA degradation with growth rates. Thus, the total mRNA concentration remains roughly constant. Some gene groups, however, regulate their mRNA concentration by uncoupling mRNA stability from the transcription rate. Ribosome-related genes modulate their transcription rates to increase mRNA levels under fast growth. In contrast, mitochondria-related and stress-induced genes lower mRNA levels by reducing mRNA stability or the transcription rate, respectively. We critically review here these results and analyze them in relation to their possible extrapolation to other organisms and in relation to the new questions they open.

Entities:  

Keywords:  Gene expression; Growth rate; Transcription; Yeast; mRNA half-life; mRNA turnover

Mesh:

Substances:

Year:  2016        PMID: 27007479     DOI: 10.1007/s00294-016-0594-2

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  70 in total

1.  Interdependence of cell growth and gene expression: origins and consequences.

Authors:  Matthew Scott; Carl W Gunderson; Eduard M Mateescu; Zhongge Zhang; Terence Hwa
Journal:  Science       Date:  2010-11-19       Impact factor: 47.728

2.  Nucleosome Stability Distinguishes Two Different Promoter Types at All Protein-Coding Genes in Yeast.

Authors:  Slawomir Kubik; Maria Jessica Bruzzone; Philippe Jacquet; Jean-Luc Falcone; Jacques Rougemont; David Shore
Journal:  Mol Cell       Date:  2015-11-05       Impact factor: 17.970

Review 3.  Mathematical models for explaining the Warburg effect: a review focussed on ATP and biomass production.

Authors:  Stefan Schuster; Daniel Boley; Philip Möller; Heiko Stark; Christoph Kaleta
Journal:  Biochem Soc Trans       Date:  2015-12       Impact factor: 5.407

Review 4.  Coordination of gene expression with growth rate: a feedback or a feed-forward strategy?

Authors:  Sagi Levy; Naama Barkai
Journal:  FEBS Lett       Date:  2009-12-17       Impact factor: 4.124

Review 5.  Eukaryotic mRNA decay: methodologies, pathways, and links to other stages of gene expression.

Authors:  José E Pérez-Ortín; Paula Alepuz; Sebastián Chávez; Mordechai Choder
Journal:  J Mol Biol       Date:  2013-03-04       Impact factor: 5.469

6.  Patterns of protein synthesis in E. coli: a catalog of the amount of 140 individual proteins at different growth rates.

Authors:  S Pedersen; P L Bloch; S Reeh; F C Neidhardt
Journal:  Cell       Date:  1978-05       Impact factor: 41.582

7.  Balanced production of ribosome components is required for proper G1/S transition in Saccharomyces cerevisiae.

Authors:  Fernando Gómez-Herreros; Olga Rodríguez-Galán; Macarena Morillo-Huesca; Douglas Maya; María Arista-Romero; Jesús de la Cruz; Sebastián Chávez; Mari Cruz Muñoz-Centeno
Journal:  J Biol Chem       Date:  2013-09-16       Impact factor: 5.157

8.  Slow growth induces heat-shock resistance in normal and respiratory-deficient yeast.

Authors:  Charles Lu; Matthew J Brauer; David Botstein
Journal:  Mol Biol Cell       Date:  2008-12-03       Impact factor: 4.138

9.  Identification and distinct regulation of yeast TATA box-containing genes.

Authors:  Andrew D Basehoar; Sara J Zanton; B Franklin Pugh
Journal:  Cell       Date:  2004-03-05       Impact factor: 41.582

10.  Predicting cellular growth from gene expression signatures.

Authors:  Edoardo M Airoldi; Curtis Huttenhower; David Gresham; Charles Lu; Amy A Caudy; Maitreya J Dunham; James R Broach; David Botstein; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-01-02       Impact factor: 4.475

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  11 in total

1.  Homeostasis in the Central Dogma of molecular biology: the importance of mRNA instability.

Authors:  José E Pérez-Ortín; Vicente Tordera; Sebastián Chávez
Journal:  RNA Biol       Date:  2019-09-02       Impact factor: 4.652

Review 2.  The Interplay between the RNA Decay and Translation Machinery in Eukaryotes.

Authors:  Adam M Heck; Jeffrey Wilusz
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-05-01       Impact factor: 10.005

3.  Growth rate controls mRNA turnover in steady and non-steady states.

Authors:  José García-Martínez; Kevin Troulé; Sebastián Chávez; José E Pérez-Ortín
Journal:  RNA Biol       Date:  2016-09-20       Impact factor: 4.652

Review 4.  The role of yeast m6A methyltransferase in peroxisomal fatty acid oxidation.

Authors:  Pradeep Kumar Yadav; Praveen Kumar Rajvanshi; Ram Rajasekharan
Journal:  Curr Genet       Date:  2017-10-17       Impact factor: 3.886

Review 5.  Sub1/PC4, a multifaceted factor: from transcription to genome stability.

Authors:  Miguel Garavís; Olga Calvo
Journal:  Curr Genet       Date:  2017-05-31       Impact factor: 3.886

Review 6.  The m6A methyltransferase Ime4 and mitochondrial functions in yeast.

Authors:  Pradeep Kumar Yadav; Ram Rajasekharan
Journal:  Curr Genet       Date:  2017-10-03       Impact factor: 3.886

Review 7.  Feedback regulation of ribosome assembly.

Authors:  Jesús de la Cruz; Fernando Gómez-Herreros; Olga Rodríguez-Galán; Victoria Begley; María de la Cruz Muñoz-Centeno; Sebastián Chávez
Journal:  Curr Genet       Date:  2017-10-11       Impact factor: 3.886

8.  Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation.

Authors:  Kathrin Davari; Johannes Lichti; Caroline C Friedel; Elke Glasmacher
Journal:  J Vis Exp       Date:  2018-03-07       Impact factor: 1.355

9.  Tob2 phosphorylation regulates global mRNA turnover to reshape transcriptome and impact cell proliferation.

Authors:  Chyi-Ying A Chen; Krista Strouz; Kai-Lieh Huang; Ann-Bin Shyu
Journal:  RNA       Date:  2020-05-13       Impact factor: 4.942

10.  The mRNA degradation factor Xrn1 regulates transcription elongation in parallel to Ccr4.

Authors:  Victoria Begley; Daniel Corzo; Antonio Jordán-Pla; Abel Cuevas-Bermúdez; Lola de Miguel-Jiménez; David Pérez-Aguado; Mercedes Machuca-Ostos; Francisco Navarro; María José Chávez; José E Pérez-Ortín; Sebastián Chávez
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

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