Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Software

YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast

Brady Olsen1, Christopher J Murakami1 and Matt Kaeberlein12*

Author Affiliations

1 Department of Pathology, University of Washington, Seattle, WA 98195, USA

2 Institute of Aging Research, Guangdong Medical College, Dongguan 523808, China

For all author emails, please log on.

BMC Bioinformatics 2010, 11:141  doi:10.1186/1471-2105-11-141

Published: 18 March 2010

Abstract

Background

The budding yeast Saccharomyces cerevisiae is one of the most widely studied model organisms in aging-related science. Although several genetic modifiers of yeast longevity have been identified, the utility of this system for longevity studies has been limited by a lack of high-throughput assays for quantitatively measuring survival of individual yeast cells during aging.

Results

Here we describe the Yeast Outgrowth Data Analyzer (YODA), an automated system for analyzing population survival of yeast cells based on the kinetics of outgrowth measured by optical density over time. YODA has been designed specifically for quantification of yeast chronological life span, but can also be used to quantify growth rate and survival of yeast cells in response to a variety of different conditions, including temperature, nutritional composition of the growth media, and chemical treatments. YODA is optimized for use with a Bioscreen C MBR shaker/incubator/plate reader, but is also amenable to use with any standard plate reader or spectrophotometer.

Conclusions

We estimate that use of YODA as described here reduces the effort and resources required to measure chronological life span and analyze the resulting data by at least 15-fold.