G3 Genes Genomes GeneticsGeneticsPeer-reviewed journal article
Tra1 controls the transcriptional landscape of the aging cell
Khaleda Afrin BariiD, Matthew D. BergiD, Julie L. Genereaux, Christopher J. BrandliD, Patrick LajoieiD
Abstract
Gene expression undergoes considerable changes during the aging process. The mechanisms regulating the transcriptional response to cellular aging remain poorly understood. Here, we employ the budding yeast Saccharomyces cerevisiae to better understand how organisms adapt their transcriptome to promote longevity. Chronological lifespan (CLS) assays in yeast measure the survival of non-dividing cells at stationary phase over time, providing insights into the aging process of post-mitotic cells. Tra1 is an essential component of both the yeast SAGA/SLIK and NuA4 complexes, where it recruits these complexes to acetylate histones at targeted promoters. Importantly, Tra1 regulates the transcriptional response to multiple stresses. To evaluate the role of Tra1 in chronological aging, we took advantage of a previously characterized mutant allele that carries mutations in the TRA1 PI3K domain (tra1Q3). We found that loss of functions associated with tra1Q3 sensitized cells to growth media acidification and shortens lifespan. Transcriptional profiling reveals that genes differentially regulated by Tra1 during the aging process are enriched for components of the response to stress. Notably, expression of catalases (CTA1, CTT1) involved in hydrogen peroxide detoxification decreases in chronologically aged tra1Q3 cells. Consequently, they display increased sensitivity to oxidative stress. tra1Q3 cells are unable to grow on glycerol indicating a defect in mitochondria function. Aged tra1Q3 cells also display reduced expression of peroxisomal genes, exhibit decreased numbers of peroxisomes and cannot grow on media containing oleate. Thus, Tra1 emerges as an important regulator of longevity in yeast via multiple mechanisms.
- organism: yeast
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 4
- FWCI
- 0.34
- Field percentile
- 47th percentile
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