Literature DB >> 16381818

Transcriptional response of steady-state yeast cultures to transient perturbations in carbon source.

Michal Ronen1, David Botstein.   

Abstract

To understand the dynamics of transcriptional response to changing environments, well defined, easily controlled, and short-term perturbation experiments were undertaken. We subjected steady-state cultures of Saccharomyces cerevisiae in chemostats growing on limiting galactose to two different size pulses of glucose, well known to be a preferred carbon source. Although these pulses were not large enough to change growth rates or cell size, approximately 25% of the genes changed their expression at least 2-fold. Using DNA microarrays to estimate mRNA abundance, we found a number of distinguishable patterns of transcriptional response among the many genes whose expression changed. Many of these genes were already known to be regulated by particular transcription factors; we estimated five potentially relevant transcription factor activities from the observed changes in gene expression (i.e., Mig1p, Gal4p, Cat8p, Rgt1p, Adr1p, and Rcs1p). With these estimates, for two regulatory circuits involving interaction among multiple regulators we could generate dynamical models that quantitatively account for the observed transcriptional responses to the transient perturbations.

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Year:  2005        PMID: 16381818      PMCID: PMC1326188          DOI: 10.1073/pnas.0509978103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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Authors:  G Sherlock; T Hernandez-Boussard; A Kasarskis; G Binkley; J C Matese; S S Dwight; M Kaloper; S Weng; H Jin; C A Ball; M B Eisen; P T Spellman; P O Brown; D Botstein; J M Cherry
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Functional discovery via a compendium of expression profiles.

Authors:  T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal:  Cell       Date:  2000-07-07       Impact factor: 41.582

3.  Precision and functional specificity in mRNA decay.

Authors:  Yulei Wang; Chih Long Liu; John D Storey; Robert J Tibshirani; Daniel Herschlag; Patrick O Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

4.  Missing value estimation methods for DNA microarrays.

Authors:  O Troyanskaya; M Cantor; G Sherlock; P Brown; T Hastie; R Tibshirani; D Botstein; R B Altman
Journal:  Bioinformatics       Date:  2001-06       Impact factor: 6.937

5.  Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

Authors:  T Ideker; V Thorsson; J A Ranish; R Christmas; J Buhler; J K Eng; R Bumgarner; D R Goodlett; R Aebersold; L Hood
Journal:  Science       Date:  2001-05-04       Impact factor: 47.728

6.  Assigning numbers to the arrows: parameterizing a gene regulation network by using accurate expression kinetics.

Authors:  Michal Ronen; Revital Rosenberg; Boris I Shraiman; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-26       Impact factor: 11.205

7.  Genomic expression programs in the response of yeast cells to environmental changes.

Authors:  A P Gasch; P T Spellman; C M Kao; O Carmel-Harel; M B Eisen; G Storz; D Botstein; P O Brown
Journal:  Mol Biol Cell       Date:  2000-12       Impact factor: 4.138

8.  Repression of transcription by Rgt1 in the absence of glucose requires Std1 and Mth1.

Authors:  Jaganathan Lakshmanan; Amber L Mosley; Sabire Ozcan
Journal:  Curr Genet       Date:  2003-07-09       Impact factor: 3.886

9.  Two different signals regulate repression and induction of gene expression by glucose.

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Journal:  J Biol Chem       Date:  2002-09-25       Impact factor: 5.157

10.  Precise temporal modulation in the response of the SOS DNA repair network in individual bacteria.

Authors:  Nir Friedman; Shuki Vardi; Michal Ronen; Uri Alon; Joel Stavans
Journal:  PLoS Biol       Date:  2005-06-21       Impact factor: 8.029

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  44 in total

1.  Antagonistic gene transcripts regulate adaptation to new growth environments.

Authors:  Bridget L Baumgartner; Matthew R Bennett; Michael Ferry; Tracy L Johnson; Lev S Tsimring; Jeff Hasty
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

2.  Metabolic cycling without cell division cycling in respiring yeast.

Authors:  Nikolai Slavov; Joanna Macinskas; Amy Caudy; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-07       Impact factor: 11.205

3.  Self-splicing of a group I intron reveals partitioning of native and misfolded RNA populations in yeast.

Authors:  Scott A Jackson; Sujatha Koduvayur; Sarah A Woodson
Journal:  RNA       Date:  2006-10-24       Impact factor: 4.942

4.  The use of chemostats in microbial systems biology.

Authors:  Naomi Ziv; Nathan J Brandt; David Gresham
Journal:  J Vis Exp       Date:  2013-10-14       Impact factor: 1.355

5.  ISC1-dependent metabolic adaptation reveals an indispensable role for mitochondria in induction of nuclear genes during the diauxic shift in Saccharomyces cerevisiae.

Authors:  Hiroshi Kitagaki; L Ashley Cowart; Nabil Matmati; David Montefusco; Jason Gandy; Silvia Vaena de Avalos; Sergei A Novgorodov; Jim Zheng; Lina M Obeid; Yusuf A Hannun
Journal:  J Biol Chem       Date:  2009-01-29       Impact factor: 5.157

Review 6.  Role of chromatin states in transcriptional memory.

Authors:  Sharmistha Kundu; Craig L Peterson
Journal:  Biochim Biophys Acta       Date:  2009-02-21

7.  Metabolic gene regulation in a dynamically changing environment.

Authors:  Matthew R Bennett; Wyming Lee Pang; Natalie A Ostroff; Bridget L Baumgartner; Sujata Nayak; Lev S Tsimring; Jeff Hasty
Journal:  Nature       Date:  2008-07-30       Impact factor: 49.962

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.  Impact of DNA-binding position variants on yeast gene expression.

Authors:  Krishna B S Swamy; Chung-Yi Cho; Sufeng Chiang; Zing Tsung-Yeh Tsai; Huai-Kuang Tsai
Journal:  Nucleic Acids Res       Date:  2009-11       Impact factor: 16.971

10.  Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathways.

Authors:  Tao Zeng; Jinyan Li
Journal:  Nucleic Acids Res       Date:  2009-10-23       Impact factor: 16.971

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