Skip to content
Open access · CC-BY via OpenAlex

A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors

Mirela Matecic, Daniel L. Smith, Xuewen Pan, Nazif Maqani, Stefan Bekiranov, Jef D. Boeke, Jeffrey S. Smith

PLoS Genetics · 2010 · ▲ 224 citations

Abstract

Model organisms have played an important role in the elucidation of multiple genes and cellular processes that regulate aging. In this study we utilized the budding yeast, Saccharomyces cerevisiae, in a large-scale screen for genes that function in the regulation of chronological lifespan, which is defined by the number of days that non-dividing cells remain viable. A pooled collection of viable haploid gene deletion mutants, each tagged with unique identifying DNA "bar-code" sequences was chronologically aged in liquid culture. Viable mutants in the aging population were selected at several time points and then detected using a microarray DNA hybridization technique that quantifies abundance of the barcode tags. Multiple short- and long-lived mutants were identified using this approach. Among the confirmed short-lived mutants were those defective for autophagy(definition), indicating a key requirement for the recycling of cellular organelles in longevity. Defects in autophagy also prevented lifespan extension induced by limitation of amino acids in the growth media. Among the confirmed long-lived mutants were those defective in the highly conserved de novo purine biosynthesis pathway (the ADE genes), which ultimately produces IMP and AMP. Blocking this pathway extended lifespan to the same degree as calorie (glucose) restriction. A recently discovered cell-extrinsic mechanism of chronological aging involving acetic acid secretion and toxicity was suppressed in a long-lived ade4Delta mutant and exacerbated by a short-lived atg16Delta autophagy mutant. The identification of multiple novel effectors of yeast chronological lifespan will greatly aid in the elucidation of mechanisms that cells and organisms utilize in slowing down the aging process.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
OpenAlex
DOI
10.1371/journal.pgen.1000921
Canonical
link ↗
Fetched
2026-07-06 MST

Cite this

APA
Matecic, M., Smith, D.L., Pan, X., Maqani, N., Bekiranov, S., Boeke, J.D., &amp; Smith, J.S. (2010). A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors. <em>PLoS Genetics</em>. https://doi.org/10.1371/journal.pgen.1000921
Vancouver
Matecic M, Smith DL, Pan X, Maqani N, Bekiranov S, Boeke JD, et al. A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors. PLoS Genetics. 2010. doi:10.1371/journal.pgen.1000921.
BibTeX
@article{mirela2010AMicro, title = {A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors}, author = {Mirela Matecic and Daniel L. Smith and Xuewen Pan and Nazif Maqani and Stefan Bekiranov and Jef D. Boeke and Jeffrey S. Smith}, journal = {PLoS Genetics}, year = {2010}, doi = {10.1371/journal.pgen.1000921}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings