Literature DB >> 22161336

Zooming in on yeast osmoadaptation.

Clemens Kühn1, Edda Klipp.   

Abstract

Saccharomyces cerevisiae is considered as a model organism for the investigation of cellular and molecular processes and gene regulation. Specifically, the response of S. cerevisiae to increase in osmolarity of the external medium (osmoadaptation) is a model adaptation process. The first mathematical model of volume changes in S. cerevisiae due to osmolarity has been proposed as early as 1983 by Schwartz and Diller (Cryobiology 20(5):542-552). Since then, both experimental and computational methods in biology have progressed dramatically. Especially in recent years, the study of response to hyperosmotic stress in S. cerevisiae by systems biology approaches has advanced rapidly. However, a holistic understanding of osmoadaptation combining environmental conditions, cellular preconditions, biophysical processes, molecular and biochemical network dynamics, has not yet been reached. Here, we review recent advances in the investigation of different aspects of osmoadaptation and discuss them with respect to an integrated view. This leads us to critically evaluate how to approach the goal of such an integrated view.

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Year:  2012        PMID: 22161336     DOI: 10.1007/978-1-4419-7210-1_17

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  5 in total

1.  Modelling reveals novel roles of two parallel signalling pathways and homeostatic feedbacks in yeast.

Authors:  Jörg Schaber; Rodrigo Baltanas; Alan Bush; Edda Klipp; Alejandro Colman-Lerner
Journal:  Mol Syst Biol       Date:  2012       Impact factor: 11.429

Review 2.  Stress adaptation in a pathogenic fungus.

Authors:  Alistair J P Brown; Susan Budge; Despoina Kaloriti; Anna Tillmann; Mette D Jacobsen; Zhikang Yin; Iuliana V Ene; Iryna Bohovych; Doblin Sandai; Stavroula Kastora; Joanna Potrykus; Elizabeth R Ballou; Delma S Childers; Shahida Shahana; Michelle D Leach
Journal:  J Exp Biol       Date:  2014-01-01       Impact factor: 3.312

3.  Detecting differential growth of microbial populations with Gaussian process regression.

Authors:  Peter D Tonner; Cynthia L Darnell; Barbara E Engelhardt; Amy K Schmid
Journal:  Genome Res       Date:  2016-11-18       Impact factor: 9.043

Review 4.  An Update on Candida tropicalis Based on Basic and Clinical Approaches.

Authors:  Diana L Zuza-Alves; Walicyranison P Silva-Rocha; Guilherme M Chaves
Journal:  Front Microbiol       Date:  2017-10-13       Impact factor: 5.640

5.  Quantitative analysis of glycerol accumulation, glycolysis and growth under hyper osmotic stress.

Authors:  Elzbieta Petelenz-Kurdziel; Clemens Kuehn; Bodil Nordlander; Dagmara Klein; Kuk-Ki Hong; Therese Jacobson; Peter Dahl; Jörg Schaber; Jens Nielsen; Stefan Hohmann; Edda Klipp
Journal:  PLoS Comput Biol       Date:  2013-06-06       Impact factor: 4.475

  5 in total

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