Literature DB >> 26283730

Different Mechanisms Confer Gradual Control and Memory at Nutrient- and Stress-Regulated Genes in Yeast.

Alessandro Rienzo1, Daniel Poveda-Huertes1, Selcan Aydin2, Nicolas E Buchler2, Amparo Pascual-Ahuir3, Markus Proft4.   

Abstract

Cells respond to environmental stimuli by fine-tuned regulation of gene expression. Here we investigated the dose-dependent modulation of gene expression at high temporal resolution in response to nutrient and stress signals in yeast. The GAL1 activity in cell populations is modulated in a well-defined range of galactose concentrations, correlating with a dynamic change of histone remodeling and RNA polymerase II (RNAPII) association. This behavior is the result of a heterogeneous induction delay caused by decreasing inducer concentrations across the population. Chromatin remodeling appears to be the basis for the dynamic GAL1 expression, because mutants with impaired histone dynamics show severely truncated dose-response profiles. In contrast, the GRE2 promoter operates like a rapid off/on switch in response to increasing osmotic stress, with almost constant expression rates and exclusively temporal regulation of histone remodeling and RNAPII occupancy. The Gal3 inducer and the Hog1 mitogen-activated protein (MAP) kinase seem to determine the different dose-response strategies at the two promoters. Accordingly, GAL1 becomes highly sensitive and dose independent if previously stimulated because of residual Gal3 levels, whereas GRE2 expression diminishes upon repeated stimulation due to acquired stress resistance. Our analysis reveals important differences in the way dynamic signals create dose-sensitive gene expression outputs.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 26283730      PMCID: PMC4589597          DOI: 10.1128/MCB.00729-15

Source DB:  PubMed          Journal:  Mol Cell Biol        ISSN: 0270-7306            Impact factor:   4.272


  53 in total

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Authors:  L Kuras; K Struhl
Journal:  Nature       Date:  1999-06-10       Impact factor: 49.962

2.  SAGA is an essential in vivo target of the yeast acidic activator Gal4p.

Authors:  S R Bhaumik; M R Green
Journal:  Genes Dev       Date:  2001-08-01       Impact factor: 11.361

Review 3.  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

4.  SWI/SNF is required for transcriptional memory at the yeast GAL gene cluster.

Authors:  Sharmistha Kundu; Peter J Horn; Craig L Peterson
Journal:  Genes Dev       Date:  2007-04-15       Impact factor: 11.361

Review 5.  Regulation and epigenetic control of transcription at the nuclear periphery.

Authors:  Sara Ahmed; Jason H Brickner
Journal:  Trends Genet       Date:  2007-06-12       Impact factor: 11.639

6.  Gene activation by dissociation of an inhibitor from a transcriptional activation domain.

Authors:  Fenglei Jiang; Benjamin R Frey; Margery L Evans; Jordan C Friel; James E Hopper
Journal:  Mol Cell Biol       Date:  2009-08-03       Impact factor: 4.272

7.  Deciphering dynamic dose responses of natural promoters and single cis elements upon osmotic and oxidative stress in yeast.

Authors:  Laura Dolz-Edo; Alessandro Rienzo; Daniel Poveda-Huertes; Amparo Pascual-Ahuir; Markus Proft
Journal:  Mol Cell Biol       Date:  2013-03-25       Impact factor: 4.272

8.  Tunable signal processing through modular control of transcription factor translocation.

Authors:  Nan Hao; Bogdan A Budnik; Jeremy Gunawardena; Erin K O'Shea
Journal:  Science       Date:  2013-01-25       Impact factor: 47.728

9.  Chromatin decouples promoter threshold from dynamic range.

Authors:  Felix H Lam; David J Steger; Erin K O'Shea
Journal:  Nature       Date:  2008-04-16       Impact factor: 49.962

10.  Frequency-modulated nuclear localization bursts coordinate gene regulation.

Authors:  Long Cai; Chiraj K Dalal; Michael B Elowitz
Journal:  Nature       Date:  2008-09-25       Impact factor: 49.962

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  8 in total

Review 1.  Ask yeast how to burn your fats: lessons learned from the metabolic adaptation to salt stress.

Authors:  Amparo Pascual-Ahuir; Sara Manzanares-Estreder; Alba Timón-Gómez; Markus Proft
Journal:  Curr Genet       Date:  2017-06-19       Impact factor: 3.886

2.  Live-cell assays reveal selectivity and sensitivity of the multidrug response in budding yeast.

Authors:  Elena Vanacloig-Pedros; Carlos Lozano-Pérez; Benito Alarcón; Amparo Pascual-Ahuir; Markus Proft
Journal:  J Biol Chem       Date:  2019-07-11       Impact factor: 5.157

3.  Nut1/Hos1 and Sas2/Rpd3 control the H3 acetylation of two different sets of osmotic stress-induced genes.

Authors:  María E Pérez-Martínez; Marta Benet; Paula Alepuz; Vicente Tordera
Journal:  Epigenetics       Date:  2019-09-12       Impact factor: 4.528

4.  Improved Post-Thaw Function and Epigenetic Changes in Mesenchymal Stromal Cells Cryopreserved Using Multicomponent Osmolyte Solutions.

Authors:  Kathryn Pollock; Rebekah M Samsonraj; Amel Dudakovic; Roman Thaler; Aron Stumbras; David H McKenna; Peter I Dosa; Andre J van Wijnen; Allison Hubel
Journal:  Stem Cells Dev       Date:  2017-03-15       Impact factor: 3.272

Review 5.  Microbial Adaptation to Enhance Stress Tolerance.

Authors:  Yong-Shui Tan; Ren-Kuan Zhang; Zhi-Hua Liu; Bing-Zhi Li; Ying-Jin Yuan
Journal:  Front Microbiol       Date:  2022-04-27       Impact factor: 6.064

6.  Hyperosmotic Stress Response Memory is Modulated by Gene Positioning in Yeast.

Authors:  Zacchari Ben Meriem; Yasmine Khalil; Pascal Hersen; Emmanuelle Fabre
Journal:  Cells       Date:  2019-06-13       Impact factor: 6.600

Review 7.  Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell.

Authors:  Amparo Pascual-Ahuir; Josep Fita-Torró; Markus Proft
Journal:  Int J Mol Sci       Date:  2020-11-05       Impact factor: 5.923

8.  High-throughput single-cell analysis for the proteomic dynamics study of the yeast osmotic stress response.

Authors:  Rongfei Zhang; Haiyu Yuan; Shujing Wang; Qi Ouyang; Yong Chen; Nan Hao; Chunxiong Luo
Journal:  Sci Rep       Date:  2017-02-09       Impact factor: 4.379

  8 in total

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