Literature DB >> 22716310

Dynamic 13C-labeling experiments prove important differences in protein turnover rate between two Saccharomyces cerevisiae strains.

Kuk-Ki Hong1, Jin Hou, Saeed Shoaie, Jens Nielsen, Sergio Bordel.   

Abstract

We developed a method for the quantification of protein turnover rates using (13)C-labeled substrates combined with the analysis of the labeling patterns of proteinogenic amino acids. Using this method, the specific amino acid turnover rates between proteins and the pool of free amino acids were determined for eight different amino acids (alanine, valine, proline, aspartic acid, glycine, leucine, isoleucine, and threonine) in two Saccharomyces cerevisiae strains (CEN.PK 113-7D and YSBN2). Furthermore, proteasome activities were compared for both strains. Both results confirmed the hypothesis of a higher protein turnover rates in CEN.PK 113-7D, which was generated in a previous comparative systems biology study of these two yeast strains. The ATP costs associated with the observed differences in protein turnover were quantified and could explain accurately the differences in biomass yield between both strains that are observed in chemostat cultures. The percentage of maintenance ATP associated with protein polymerization (polymerization for growth and re-polymerization because of turnover) and degradation was estimated to be 72% for YSBN2 and 79% for CEN.PK 113-7D, which makes these processes the dominant nonbiosynthetic drain of ATP in living cells, and hence, it represents an energetic parameter of great relevance.
© 2012 Federation of European Microbiological Societies. Published by Blackwell Publishing Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22716310     DOI: 10.1111/j.1567-1364.2012.00823.x

Source DB:  PubMed          Journal:  FEMS Yeast Res        ISSN: 1567-1356            Impact factor:   2.796


  7 in total

1.  A Simple Light Isotope Metabolic Labeling (SLIM-labeling) Strategy: A Powerful Tool to Address the Dynamics of Proteome Variations In Vivo.

Authors:  Thibaut Léger; Camille Garcia; Laetitia Collomb; Jean-Michel Camadro
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

2.  Escherichia coli metabolism under short-term repetitive substrate dynamics: adaptation and trade-offs.

Authors:  Eleni Vasilakou; Mark C M van Loosdrecht; S Aljoscha Wahl
Journal:  Microb Cell Fact       Date:  2020-05-29       Impact factor: 5.328

3.  The number of catalytic cycles in an enzyme's lifetime and why it matters to metabolic engineering.

Authors:  Andrew D Hanson; Donald R McCarty; Christopher S Henry; Xiaochen Xian; Jaya Joshi; Jenelle A Patterson; Jorge D García-García; Scott D Fleischmann; Nathan D Tivendale; A Harvey Millar
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-30       Impact factor: 11.205

4.  Benchmarking two commonly used Saccharomyces cerevisiae strains for heterologous vanillin-β-glucoside production.

Authors:  Tomas Strucko; Olivera Magdenoska; Uffe H Mortensen
Journal:  Metab Eng Commun       Date:  2015-09-11

5.  Synergistic effects of TOR and proteasome pathways on the yeast transcriptome and cell growth.

Authors:  Nianshu Zhang; Zhenzhen Quan; Bharat Rash; Stephen G Oliver
Journal:  Open Biol       Date:  2013-05-22       Impact factor: 6.411

6.  Pichia pastoris Exhibits High Viability and a Low Maintenance Energy Requirement at Near-Zero Specific Growth Rates.

Authors:  Corinna Rebnegger; Tim Vos; Alexandra B Graf; Minoska Valli; Jack T Pronk; Pascale Daran-Lapujade; Diethard Mattanovich
Journal:  Appl Environ Microbiol       Date:  2016-07-15       Impact factor: 4.792

7.  Purine Auxotrophic Starvation Evokes Phenotype Similar to Stationary Phase Cells in Budding Yeast.

Authors:  Agnese Kokina; Kristel Tanilas; Zane Ozolina; Karlis Pleiko; Karlis Shvirksts; Ilze Vamza; Janis Liepins
Journal:  J Fungi (Basel)       Date:  2021-12-29
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.