Literature DB >> 21206491

Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast.

Christian Miller1, Björn Schwalb, Kerstin Maier, Daniel Schulz, Sebastian Dümcke, Benedikt Zacher, Andreas Mayer, Jasmin Sydow, Lisa Marcinowski, Lars Dölken, Dietmar E Martin, Achim Tresch, Patrick Cramer.   

Abstract

To obtain rates of mRNA synthesis and decay in yeast, we established dynamic transcriptome analysis (DTA). DTA combines non-perturbing metabolic RNA labeling with dynamic kinetic modeling. DTA reveals that most mRNA synthesis rates are around several transcripts per cell and cell cycle, and most mRNA half-lives range around a median of 11 min. DTA can monitor the cellular response to osmotic stress with higher sensitivity and temporal resolution than standard transcriptomics. In contrast to monotonically increasing total mRNA levels, DTA reveals three phases of the stress response. During the initial shock phase, mRNA synthesis and decay rates decrease globally, resulting in mRNA storage. During the subsequent induction phase, both rates increase for a subset of genes, resulting in production and rapid removal of stress-responsive mRNAs. During the recovery phase, decay rates are largely restored, whereas synthesis rates remain altered, apparently enabling growth at high salt concentration. Stress-induced changes in mRNA synthesis rates are predicted from gene occupancy with RNA polymerase II. DTA-derived mRNA synthesis rates identified 16 stress-specific pairs/triples of cooperative transcription factors, of which seven were known. Thus, DTA realistically monitors the dynamics in mRNA metabolism that underlie gene regulatory systems.

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Year:  2011        PMID: 21206491      PMCID: PMC3049410          DOI: 10.1038/msb.2010.112

Source DB:  PubMed          Journal:  Mol Syst Biol        ISSN: 1744-4292            Impact factor:   13.068


  57 in total

1.  Genome-wide location of the coactivator mediator: Binding without activation and transient Cdk8 interaction on DNA.

Authors:  Jean-Christophe Andrau; Loes van de Pasch; Philip Lijnzaad; Theo Bijma; Marian Groot Koerkamp; Jeroen van de Peppel; Michel Werner; Frank C P Holstege
Journal:  Mol Cell       Date:  2006-04-21       Impact factor: 17.970

2.  Microarray analysis of newly synthesized RNA in cells and animals.

Authors:  M Kenzelmann; S Maertens; M Hergenhahn; S Kueffer; A Hotz-Wagenblatt; L Li; S Wang; C Ittrich; T Lemberger; R Arribas; S Jonnakuty; M C Hollstein; W Schmid; N Gretz; H J Gröne; G Schütz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-03       Impact factor: 11.205

3.  High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decay.

Authors:  Lars Dölken; Zsolt Ruzsics; Bernd Rädle; Caroline C Friedel; Ralf Zimmer; Jörg Mages; Reinhard Hoffmann; Paul Dickinson; Thorsten Forster; Peter Ghazal; Ulrich H Koszinowski
Journal:  RNA       Date:  2008-07-24       Impact factor: 4.942

4.  Yeast translational response to high salinity: global analysis reveals regulation at multiple levels.

Authors:  Daniel Melamed; Lilach Pnueli; Yoav Arava
Journal:  RNA       Date:  2008-05-21       Impact factor: 4.942

5.  Incorporation of 6-thioguanosine and 4-thiouridine into RNA. Application to isolation of newly synthesised RNA by affinity chromatography.

Authors:  W T Melvin; H B Milne; A A Slater; H J Allen; H M Keir
Journal:  Eur J Biochem       Date:  1978-12

6.  Transient inhibition of translation initiation by osmotic stress.

Authors:  Yukifumi Uesono; Akio Toh-E
Journal:  J Biol Chem       Date:  2002-01-16       Impact factor: 5.157

7.  Biosynthetic labeling of RNA with uracil phosphoribosyltransferase allows cell-specific microarray analysis of mRNA synthesis and decay.

Authors:  Michael D Cleary; Christopher D Meiering; Eric Jan; Rebecca Guymon; John C Boothroyd
Journal:  Nat Biotechnol       Date:  2005-01-30       Impact factor: 54.908

Review 8.  Yeast osmoregulation.

Authors:  Stefan Hohmann; Marcus Krantz; Bodil Nordlander
Journal:  Methods Enzymol       Date:  2007       Impact factor: 1.600

9.  Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data.

Authors:  Benedikt Zacher; Pei Fen Kuan; Achim Tresch
Journal:  BMC Bioinformatics       Date:  2010-04-17       Impact factor: 3.169

10.  CPD damage recognition by transcribing RNA polymerase II.

Authors:  Florian Brueckner; Ulrich Hennecke; Thomas Carell; Patrick Cramer
Journal:  Science       Date:  2007-02-09       Impact factor: 47.728

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  180 in total

Review 1.  Controlling gene expression in response to stress.

Authors:  Eulàlia de Nadal; Gustav Ammerer; Francesc Posas
Journal:  Nat Rev Genet       Date:  2011-11-03       Impact factor: 53.242

2.  Quantifying negative feedback regulation by micro-RNAs.

Authors:  Shangying Wang; Sridhar Raghavachari
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

3.  Saccharomyces cerevisiae Metabolic Labeling with 4-thiouracil and the Quantification of Newly Synthesized mRNA As a Proxy for RNA Polymerase II Activity.

Authors:  Tiago Baptista; Didier Devys
Journal:  J Vis Exp       Date:  2018-10-22       Impact factor: 1.355

4.  RNA splicing and debranching viewed through analysis of RNA lariats.

Authors:  Zhi Cheng; Thomas M Menees
Journal:  Mol Genet Genomics       Date:  2011-11-08       Impact factor: 3.291

5.  Transcriptome-wide stability analysis uncovers LARP4-mediated NFκB1 mRNA stabilization during T cell activation.

Authors:  Yi Tian; Zhouhao Zeng; Xiang Li; Yiyin Wang; Runsen Chen; Sandy Mattijssen; Sergei Gaidamakov; Yuzhang Wu; Richard J Maraia; Weiqun Peng; Jun Zhu
Journal:  Nucleic Acids Res       Date:  2020-09-04       Impact factor: 16.971

6.  Saccharopolyspora erythraea's genome is organised in high-order transcriptional regions mediated by targeted degradation at the metabolic switch.

Authors:  Esteban Marcellin; Tim R Mercer; Cuauhtemoc Licona-Cassani; Robin W Palfreyman; Marcel E Dinger; Jennifer A Steen; John S Mattick; Lars K Nielsen
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

7.  Global analysis of mRNA isoform half-lives reveals stabilizing and destabilizing elements in yeast.

Authors:  Joseph V Geisberg; Zarmik Moqtaderi; Xiaochun Fan; Fatih Ozsolak; Kevin Struhl
Journal:  Cell       Date:  2014-02-13       Impact factor: 41.582

8.  Codon optimality is a major determinant of mRNA stability.

Authors:  Vladimir Presnyak; Najwa Alhusaini; Ying-Hsin Chen; Sophie Martin; Nathan Morris; Nicholas Kline; Sara Olson; David Weinberg; Kristian E Baker; Brenton R Graveley; Jeff Coller
Journal:  Cell       Date:  2015-03-12       Impact factor: 41.582

Review 9.  The future of whole-cell modeling.

Authors:  Derek N Macklin; Nicholas A Ruggero; Markus W Covert
Journal:  Curr Opin Biotechnol       Date:  2014-02-17       Impact factor: 9.740

Review 10.  RNA-Seq methods for transcriptome analysis.

Authors:  Radmila Hrdlickova; Masoud Toloue; Bin Tian
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-19       Impact factor: 9.957

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