Genome-wide expression analyses of the stationary phase model of ageing in yeast
Journal article, 2015

Ageing processes involved in replicative lifespan (RLS) and chronological lifespan (CLS) have been found to be conserved among many organisms, including in unicellular Eukarya such as yeast Saccharomyces cerevisiae. Here we performed an integrated approach of genome wide expression profiles of yeast at different time points, during growth and starvation. The aim of the study was to identify transcriptional changes in those conditions by using several different computational analyses in order to propose transcription factors, biological networks and metabolic pathways that seem to be relevant during the process of chronological ageing in yeast. Specifically, we performed differential gene expression analysis, gene-set enrichment analysis and network-based analysis, and we identified pathways affected in the stationary phase and specific transcription factors driving transcriptional adaptations. The results indicate signal propagation from G protein-coupled receptors through signaling pathway components and other stress and nutrient-induced transcription factors resulting in adaptation of yeast cells to the lack of nutrients by activating metabolism associated with aerobic metabolism of carbon sources such as ethanol, glycerol and fatty acids. In addition, we found STE12, XBP1 and TOS8 as highly connected nodes in the subnetworks of ageing yeast.

Yeast chronological lifespan

Nutritional starvation

Gene expression analyses

Integrated analyses

Author

Kwanjeera Wanichthanarak

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Nutvadee Wongtosrad

University of Gothenburg

Chalmers, Mathematical Sciences

Dina Petranovic Nielsen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Mechanisms of Ageing and Development

0047-6374 (ISSN)

Vol. 149 65-74

Subject Categories

Biochemistry and Molecular Biology

DOI

10.1016/j.mad.2015.05.008

More information

Created

10/7/2017