Literature DB >> 12096123

Systematic identification of the genes affecting glycogen storage in the yeast Saccharomyces cerevisiae: implication of the vacuole as a determinant of glycogen level.

Wayne A Wilson1, Zhong Wang, Peter J Roach.   

Abstract

At the onset of nutrient limitation, the yeast Saccharomyces cerevisiae synthesizes glycogen to serve as a carbon and energy reserve. We undertook a systematic survey for the genes that affect glycogen accumulation by taking advantage of the strain deletion set generated by the Saccharomyces Genome Deletion Project. The strain collection analyzed contained some 4600 diploid homozygous null deletants, representing approximately 88% of all viable haploid disruptants. We identified 324 strains with low and 242 with elevated glycogen stores, accounting for 12.4% of the genes analyzed. The screen was validated by the identification of many of the genes known already to influence glycogen accumulation. Many of the mutants could be placed into coherent families. For example, 195 or 60% of the hypoaccumulators carry mutations linked to respiratory function, a class of mutants well known to be defective in glycogen storage. The second largest group consists of approximately 60 genes involved in vesicular trafficking and vacuolar function, including genes encoding 13 of 17 proteins involved in the structure or assembly of the vacuolar ATPase. These data are consistent with our recent findings that the process of autophagy has a significant impact on glycogen storage (Wang, Z., Wilson, W. A., Fujino, M. A., and Roach, P. J. (2001) Antagonistic controls of autophagy and glycogen accumulation by Snf1p, the yeast homolog of AMP-activated protein kinase, and the cyclin-dependent kinase Pho85p. Mol. Cell. Biol. 21, 5742-5752). Autophagy delivers glycogen to the vacuole, and we propose that the impaired vacuolar function associated with ATPase mutants (vma10 or vma22) results in reduced degradation and subsequent hyperaccumulation of glycogen.

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Year:  2002        PMID: 12096123     DOI: 10.1074/mcp.m100024-mcp200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  40 in total

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2.  Systematic identification of signal integration by protein kinase A.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-23       Impact factor: 11.205

3.  Positron emission tomography probe demonstrates a striking concentration of ribose salvage in the liver.

Authors:  Peter M Clark; Graciela Flores; Nikolai M Evdokimov; Melissa N McCracken; Timothy Chai; Evan Nair-Gill; Fiona O'Mahony; Simon W Beaven; Kym F Faull; Michael E Phelps; Michael E Jung; Owen N Witte
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-30       Impact factor: 11.205

Review 4.  Glycogen and its metabolism: some new developments and old themes.

Authors:  Peter J Roach; Anna A Depaoli-Roach; Thomas D Hurley; Vincent S Tagliabracci
Journal:  Biochem J       Date:  2012-02-01       Impact factor: 3.857

5.  Cellular Control of Viscosity Counters Changes in Temperature and Energy Availability.

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Journal:  Cell       Date:  2020-11-05       Impact factor: 41.582

6.  LINE-like retrotransposition in Saccharomyces cerevisiae.

Authors:  Chun Dong; Russell T Poulter; Jeffrey S Han
Journal:  Genetics       Date:  2008-10-28       Impact factor: 4.562

7.  The NDR kinase DBF-2 is involved in regulation of mitosis, conidial development, and glycogen metabolism in Neurospora crassa.

Authors:  Efrat Dvash; Galia Kra-Oz; Carmit Ziv; Shmuel Carmeli; Oded Yarden
Journal:  Eukaryot Cell       Date:  2009-12-04

8.  Structural and functional study of YER067W, a new protein involved in yeast metabolism control and drug resistance.

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Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

9.  Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets.

Authors:  Jüri Reimand; Juan M Vaquerizas; Annabel E Todd; Jaak Vilo; Nicholas M Luscombe
Journal:  Nucleic Acids Res       Date:  2010-04-12       Impact factor: 16.971

10.  A genome-wide synthetic dosage lethality screen reveals multiple pathways that require the functioning of ubiquitin-binding proteins Rad23 and Dsk2.

Authors:  Chang Liu; Dewald van Dyk; Yue Li; Brenda Andrews; Hai Rao
Journal:  BMC Biol       Date:  2009-11-12       Impact factor: 7.431

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