Reference: Zhao S, et al. (2014) Comparative proteomic analysis of Saccharomyces cerevisiae under different nitrogen sources. J Proteomics 101:102-12

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Abstract


In cultures containing multiple sources of nitrogen, Saccharomyces cerevisiae exhibits a sequential use of nitrogen sources through a mechanism known as nitrogen catabolite repression (NCR). To identify proteins differentially expressed due to NCR, proteomic analysis of S. cerevisiae S288C under different nitrogen source conditions was performed using two-dimensional gel electrophoresis (2-DE), revealing 169 candidate protein spots. Among these 169 protein spots, 121 were identified by matrix assisted laser desorption ionization-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF). The identified proteins were closely associated with four main biological processes through Gene Ontology (GO) categorical analysis. The identification of the potential proteins and cellular processes related to NCR offer a global overview of changes elicited by different nitrogen sources, providing clues into how yeast adapt to different nutritional conditions. Moreover, by comparing our proteomic data with corresponding mRNA data, proteins regulated at the transcriptional and post-transcriptional level could be distinguished. Biological significance In S. cerevisiae, different nitrogen sources provide different growth characteristics and generate different metabolites. The nitrogen catabolite repression (NCR) process plays an important role for S. cerevisiae in the ordinal utilization of different nitrogen sources. NCR process can result in significant shift of global metabolic networks. Previous works on NCR primarily focused on transcriptomic level. The results obtained in this study provided a global atlas of the proteome changes triggered by different nitrogen sources and would facilitate the understanding of mechanisms for how yeast could adapt to different nutritional conditions.

Reference Type
Comparative Study | Journal Article | Research Support, Non-U.S. Gov't
Authors
Zhao S, Zhao X, Zou H, Fu J, Du G, Zhou J, Chen J
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