Literature DB >> 25328105

The yeast galactose network as a quantitative model for cellular memory.

Sarah R Stockwell1, Christian R Landry, Scott A Rifkin.   

Abstract

Recent experiments have revealed surprising behavior in the yeast galactose (GAL) pathway, one of the preeminent systems for studying gene regulation. Under certain circumstances, yeast cells display memory of their prior nutrient environments. We distinguish two kinds of cellular memory discovered by quantitative investigations of the GAL network and present a conceptual framework for interpreting new experiments and current ideas on GAL memory. Reinduction memory occurs when cells respond transcriptionally to one environment, shut down the response during several generations in a second environment, then respond faster and with less cell-to-cell variation when returned to the first environment. Persistent memory describes a long-term, arguably stable response in which cells adopt a bimodal or unimodal distribution of induction levels depending on their preceding environment. Deep knowledge of how the yeast GAL pathway responds to different sugar environments has enabled rapid progress in uncovering the mechanisms behind GAL memory, which include cytoplasmic inheritance of inducer proteins and positive feedback loops among regulatory genes. This network of genes, long used to study gene regulation, is now emerging as a model system for cellular memory.

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Year:  2014        PMID: 25328105      PMCID: PMC4252300          DOI: 10.1039/c4mb00448e

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  54 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

2.  A positive-feedback-based bistable 'memory module' that governs a cell fate decision.

Authors:  Wen Xiong; James E Ferrell
Journal:  Nature       Date:  2003-11-27       Impact factor: 49.962

3.  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 4.  Glucose repression in yeast.

Authors:  M Carlson
Journal:  Curr Opin Microbiol       Date:  1999-04       Impact factor: 7.934

Review 5.  Yeast Gal4: a transcriptional paradigm revisited.

Authors:  Ana Traven; Branka Jelicic; Mary Sopta
Journal:  EMBO Rep       Date:  2006-05       Impact factor: 8.807

6.  Synergistic dual positive feedback loops established by molecular sequestration generate robust bimodal response.

Authors:  Ophelia S Venturelli; Hana El-Samad; Richard M Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-12       Impact factor: 11.205

Review 7.  Epigenetics of the yeast galactose genetic switch.

Authors:  Paike Jayadeva Bhat; Revathi S Iyer
Journal:  J Biosci       Date:  2009-10       Impact factor: 1.826

Review 8.  Yeast carbon catabolite repression.

Authors:  J M Gancedo
Journal:  Microbiol Mol Biol Rev       Date:  1998-06       Impact factor: 11.056

9.  Control of yeast GAL genes by MIG1 repressor: a transcriptional cascade in the glucose response.

Authors:  J O Nehlin; M Carlberg; H Ronne
Journal:  EMBO J       Date:  1991-11       Impact factor: 11.598

10.  Construction of an in vitro bistable circuit from synthetic transcriptional switches.

Authors:  Jongmin Kim; Kristin S White; Erik Winfree
Journal:  Mol Syst Biol       Date:  2006-12-12       Impact factor: 11.429

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  17 in total

Review 1.  Molecular and cellular bases of adaptation to a changing environment in microorganisms.

Authors:  Clara Bleuven; Christian R Landry
Journal:  Proc Biol Sci       Date:  2016-10-26       Impact factor: 5.349

2.  High-Throughput Gene Mutagenesis Screening Using Base Editing.

Authors:  Philippe C Després; Alexandre K Dubé; Nozomu Yachie; Christian R Landry
Journal:  Methods Mol Biol       Date:  2022

3.  Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds.

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4.  Ecological memory of prior nutrient exposure in the human gut microbiome.

Authors:  Jeffrey Letourneau; Zachary C Holmes; Eric P Dallow; Heather K Durand; Sharon Jiang; Verónica M Carrion; Savita K Gupta; Adam C Mincey; Michael J Muehlbauer; James R Bain; Lawrence A David
Journal:  ISME J       Date:  2022-07-23       Impact factor: 11.217

5.  Transition between fermentation and respiration determines history-dependent behavior in fluctuating carbon sources.

Authors:  Bram Cerulus; Abbas Jariani; Gemma Perez-Samper; Lieselotte Vermeersch; Julian Mj Pietsch; Matthew M Crane; Aaron M New; Brigida Gallone; Miguel Roncoroni; Maria C Dzialo; Sander K Govers; Jhana O Hendrickx; Eva Galle; Maarten Coomans; Pieter Berden; Sara Verbandt; Peter S Swain; Kevin J Verstrepen
Journal:  Elife       Date:  2018-10-09       Impact factor: 8.140

6.  Probabilistic adaptation in changing microbial environments.

Authors:  Yarden Katz; Michael Springer
Journal:  PeerJ       Date:  2016-12-14       Impact factor: 2.984

7.  A living vector field reveals constraints on galactose network induction in yeast.

Authors:  Sarah R Stockwell; Scott A Rifkin
Journal:  Mol Syst Biol       Date:  2017-01-30       Impact factor: 11.429

8.  Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies.

Authors:  C F Blum; N Heramvand; A S Khonsari; M Kollmann
Journal:  Nat Commun       Date:  2018-01-09       Impact factor: 14.919

9.  Proton-solute coupling mechanism of the maltose transporter from Saccharomyces cerevisiae.

Authors:  Ryan Henderson; Bert Poolman
Journal:  Sci Rep       Date:  2017-10-30       Impact factor: 4.379

10.  A phylogenetic analysis of macroevolutionary patterns in fermentative yeasts.

Authors:  Rocío Paleo-López; Julian F Quintero-Galvis; Jaiber J Solano-Iguaran; Angela M Sanchez-Salazar; Juan D Gaitan-Espitia; Roberto F Nespolo
Journal:  Ecol Evol       Date:  2016-05-10       Impact factor: 2.912

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