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YODA: Software to facilitate high-throughput analysis of chronological life span, growth rate, and survival in budding yeast
- Source :
- BMC Bioinformatics, Vol 11, Iss 1, p 141 (2010), BMC Bioinformatics
- Publication Year :
- 2010
- Publisher :
- BMC, 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.
- Subjects :
- Cell Survival
media_common.quotation_subject
Population
Saccharomyces cerevisiae
ved/biology.organism_classification_rank.species
lcsh:Computer applications to medicine. Medical informatics
Biochemistry
03 medical and health sciences
0302 clinical medicine
Structural Biology
Gene Expression Regulation, Fungal
Yoda
education
Model organism
Molecular Biology
lcsh:QH301-705.5
Cellular Senescence
030304 developmental biology
media_common
0303 health sciences
education.field_of_study
biology
ved/biology
Applied Mathematics
Longevity
Genomics
biology.organism_classification
Yeast
Cell biology
Computer Science Applications
lcsh:Biology (General)
Saccharomycetales
lcsh:R858-859.7
DNA microarray
030217 neurology & neurosurgery
Plate reader
Software
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.doi.dedup.....81efcc8c16c9815c166c2bf57b9d1bc4