Literature DB >> 26079307

Genome-wide expression analyses of the stationary phase model of ageing in yeast.

Kwanjeera Wanichthanarak1, Nutvadee Wongtosrad2, Dina Petranovic3.   

Abstract

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.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Gene expression analyses; Integrated analyses; Nutritional starvation; Yeast chronological lifespan

Mesh:

Substances:

Year:  2015        PMID: 26079307     DOI: 10.1016/j.mad.2015.05.008

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  5 in total

1.  Next-Generation Genome-Scale Models Incorporating Multilevel 'Omics Data: From Yeast to Human.

Authors:  Tunahan Çakır; Emel Kökrek; Gülben Avşar; Ecehan Abdik; Pınar Pir
Journal:  Methods Mol Biol       Date:  2019

2.  Intron RNA sequences help yeast cells to survive starvation.

Authors:  Samantha R Edwards; Tracy L Johnson
Journal:  Nature       Date:  2019-01       Impact factor: 49.962

3.  Oxygen availability strongly affects chronological lifespan and thermotolerance in batch cultures of Saccharomyces cerevisiae.

Authors:  Markus M Bisschops; Tim Vos; Rubén Martínez-Moreno; Pilar T Cortés; Jack T Pronk; Pascale Daran-Lapujade
Journal:  Microb Cell       Date:  2015-10-21

4.  Genomewide mechanisms of chronological longevity by dietary restriction in budding yeast.

Authors:  Sergio E Campos; J Abraham Avelar-Rivas; Erika Garay; Alejandro Juárez-Reyes; Alexander DeLuna
Journal:  Aging Cell       Date:  2018-03-25       Impact factor: 9.304

Review 5.  Gene expression hallmarks of cellular ageing.

Authors:  Stephen Frenk; Jonathan Houseley
Journal:  Biogerontology       Date:  2018-02-28       Impact factor: 4.277

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.