Inference of transcription modification in long-live yeast strains from their expression profiles
Open Access
- 6 July 2007
- journal article
- research article
- Published by Springer Nature in BMC Genomics
- Vol. 8 (1) , 219
- https://doi.org/10.1186/1471-2164-8-219
Abstract
Background: Three kinases: Sch9, PKA and TOR, are suggested to be involved in both the replicative and chronological ageing in yeast. They function in pathways whose down-regulation leads to life span extension. Several stress response proteins, including two transcription factors Msn2 and Msn4, mediate the longevity extension phenotype associated with decreased activity of either Sch9, PKA, or TOR. However, the mechanisms of longevity, especially the underlying transcription program have not been fully understood. Results: We measured the gene expression profiles in wild type yeast and three long-lived mutants: sch9 Δ, ras2 Δ, and tor1 Δ. To elucidate the transcription program that may account for the longevity extension, we identified the transcription factors that are systematically and significantly associated with the expression differentiation in these mutants with respect to wild type by integrating microarray expression data with motif and ChIP-chip data, respectively. Our analysis suggests that three stress response transcription factors, Msn2, Msn4 and Gis1, are activated in all the three mutants. We also identify some other transcription factors such as Fhl1 and Hsf1, which may also be involved in the transcriptional modification in the long-lived mutants. Conclusion: Combining microarray expression data with other data sources such as motif and ChIP-chip data provides biological insights into the transcription modification that leads to life span extension. In the chronologically long-lived mutant: sch9 Δ, ras2 Δ, and tor1 Δ, several common stress response transcription factors are activated compared with the wild type according to our systematic transcription inference.Keywords
This publication has 57 references indexed in Scilit:
- Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profilesProceedings of the National Academy of Sciences, 2005
- PKA and Sch9 control a molecular switch important for the proper adaptation to nutrient availabilityMolecular Microbiology, 2004
- TOR and PKA Signaling Pathways Converge on the Protein Kinase Rim15 to Control Entry into G0Molecular Cell, 2003
- Statistical significance for genomewide studiesProceedings of the National Academy of Sciences, 2003
- IGF-1 receptor regulates lifespan and resistance to oxidative stress in miceNature, 2002
- Computation-Based Discovery of Related Transcriptional Regulatory Modules and Motifs Using an Experimentally Validated Combinatorial ModelGenome Research, 2002
- Identification of a Multifunctional Domain in Autonomously Replicating Sequence-Binding Factor 1 Required for Transcriptional Activation, DNA Replication, and Gene SilencingMolecular and Cellular Biology, 2002
- Regulation of Longevity and Stress Resistance by Sch9 in YeastScience, 2001
- Computational identification of Cis -regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae 1 1Edited by F. E. CohenJournal of Molecular Biology, 2000
- Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitationNature Biotechnology, 1998