Temporal quantitative proteomics of Saccharomyces cerevisiae in response to a nonlethal concentration of furfural

PROTEOMICS ◽  
2009 ◽  
Vol 9 (24) ◽  
pp. 5471-5483 ◽  
Author(s):  
Feng-Ming Lin ◽  
Ying Tan ◽  
Ying-Jin Yuan
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Quantitative Proteomics

A PhotoClick cholesterol‐based quantitative proteomics screen for cytoplasmic sterol‐binding proteins in Saccharomyces cerevisiae

Yeast ◽  
2020 ◽  
Vol 37 (1) ◽  
pp. 15-25
Author(s):  
Neha Chauhan ◽  
Yves Y. Sere ◽  
Anna M. Sokol ◽  
Johannes Graumann ◽  
Anant K. Menon
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Quantitative Proteomics ◽  
Binding Proteins ◽  
Sterol Binding

scholarly journals Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in Saccharomyces cerevisiae

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 139
Author(s):  
Chuan Fu Yap ◽  
Manuel Garcia-Albornoz ◽  
Andrew F. Jarnuczak ◽  
Simon J. Hubbard ◽  
Jean-Marc Schwartz
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Heat Stress ◽  
Quantitative Proteomics ◽  
Metabolic Flux ◽  
Glycolytic Flux ◽  
Trehalose Metabolism ◽  
Regulatory Effects ◽  
Flux Increase ◽  
Using Data ◽  
Fructose 1,6 Bisphosphate

When Saccharomyces cerevisiae undergoes heat stress it stimulates several changes that are necessary for its survival, notably in carbon metabolism. Notable changes include increase in trehalose production and glycolytic flux. The increase in glycolytic flux has been postulated to be due to the regulatory effects in upper glycolysis, but this has not been confirmed. Additionally, trehalose is a useful industrial compound for its protective properties. A model of trehalose metabolism in S. cerevisiae was constructed using Convenient Modeller, a software that uses a combination of convenience kinetics and a genetic algorithm. The model was parameterized with quantitative omics under standard conditions and validated using data collected under heat stress conditions. The completed model was used to show that feedforward activation of pyruvate kinase by fructose 1,6-bisphosphate during heat stress contributes to the increase in metabolic flux. We were also able to demonstrate in silico that overexpression of enzymes involved in production and degradation of trehalose can lead to higher trehalose yield in the cell. By integrating quantitative proteomics with metabolic modelling, we were able to confirm that the flux increase in trehalose metabolic pathways during heat stress is due to regulatory effects and not purely changes in enzyme expression. The overexpression of enzymes involved in trehalose metabolism is a potential approach to be exploited for trehalose production without need for increasing temperature.

scholarly journals Quantitative proteomics reveal proteins enriched in tubular endoplasmic reticulum of Saccharomyces cerevisiae

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Xinbo Wang ◽  
Shanshan Li ◽  
Haicheng Wang ◽  
Wenqing Shui ◽  
Junjie Hu
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Endoplasmic Reticulum ◽  
Membrane Trafficking ◽  
Quantitative Proteomics ◽  
Membrane Curvature ◽  
Cell Fractionation ◽  
Critical Part ◽  
Affinity Isolation ◽  
Stress Sensing ◽  
Tubular Endoplasmic Reticulum

The tubular network is a critical part of the endoplasmic reticulum (ER). The network is shaped by the reticulons and REEPs/Yop1p that generate tubules by inducing high membrane curvature, and the dynamin-like GTPases atlastin and Sey1p/RHD3 that connect tubules via membrane fusion. However, the specific functions of this ER domain are not clear. Here, we isolated tubule-based microsomes from Saccharomyces cerevisiae via classical cell fractionation and detergent-free immunoprecipitation of Flag-tagged Yop1p, which specifically localizes to ER tubules. In quantitative comparisons of tubule-derived and total microsomes, we identified a total of 79 proteins that were enriched in the ER tubules, including known proteins that organize the tubular ER network. Functional categorization of the list of proteins revealed that the tubular ER network may be involved in membrane trafficking, lipid metabolism, organelle contact, and stress sensing. We propose that affinity isolation coupled with quantitative proteomics is a useful tool for investigating ER functions.

Anti-Saccharomyces cerevisiae Antibodies in Inflammatory Bowel Disease: a Family Study

2001 ◽  
Vol 36 (2) ◽  
pp. 196-201 ◽  
Author(s):  
F. Seibold ◽  
O. Stich ◽  
R. Hufnagl ◽  
S. Kamil ◽  
M. Scheurlen
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Family Study ◽  
Inflammatory Bowel
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