ArticlePloS one2015
Protocols and programs for high-throughput growth and aging phenotyping in yeast.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Mixing Is Dispensable for Optical Density-Based High-Throughput Growth Screening Assay in Fission Yeast.International journal of molecular sciences · 2026Article
- Yeast Chronological Lifespan Model as a Tool for Screening Aging Interventions.International journal of molecular sciences · 2026Review
- Automated Platform for the Analysis of Multi-Plate Growth and Reporter Data.Microorganisms · 2025Article
- An mTOR inhibitor discovery system using drug-sensitized yeast.GeroScience · 2025Article
- gcplyr: an R package for microbial growth curve data analysis.BMC bioinformatics · 2024Article
- Cultivating efficiency: high-throughput growth analysis of anaerobic bacteria in compact microplate readers.Microbiology spectrum · 2024Article
- Cultivating efficiency: High-throughput growth analysis of anaerobic bacteria in compact microplate readers.bioRxiv : the preprint server for biology · 2023Article
- Atg1-dependent phosphorylation of Vps34 is required for dynamic regulation of the phagophore assembly site and autophagy inAutophagy · 2023Article
- High-throughput metabolomics for the design and validation of a diauxic shift model.NPJ systems biology and applications · 2023Article
- Identifying Leptospira interrogans putative virulence factors with a yeast protein expression screen.Applied microbiology and biotechnology · 2022Article
- The role of NAD and NAD precursors on longevity and lifespan modulation in the budding yeast, Saccharomyces cerevisiae.Biogerontology · 2022Review
- Genome-wide screens in yeast models towards understanding chronological lifespan regulation.Briefings in functional genomics · 2022Article
- Large-scale data analysis for robotic yeast one-hybrid platforms and multi-disciplinary studies using GateMultiplex.BMC biology · 2021Article
- High-resolution yeast quiescence profiling in human-like media reveals complex influences of auxotrophy and nutrient availability.GeroScience · 2021Article
- Scalable continuous evolution for the generation of diverse enzyme variants encompassing promiscuous activities.Nature communications · 2020Article
- Targeting Cdc42 with the anticancer compound MBQ-167 inhibits cell polarity and growth in the budding yeast S. cerevisiae.Small GTPases · 2020Article
- Sentinel interaction mapping - a generic approach for the functional analysis of human disease gene variants using yeast.Disease models & mechanisms · 2020Article
- Automated Continuous Evolution of ProteinsACS synthetic biology · 2020Article
- Cell organelles and yeast longevity: an intertwined regulation.Current genetics · 2020Review
- SPOCK, an R based package for high-throughput analysis of growth rate, survival, and chronological lifespan in yeast.Translational medicine of aging · 2020Article
Corrections and comments
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In microorganisms, and more particularly in yeasts, a standard phenotyping approach consists in the analysis of fitness by growth rate determination in different conditions. One growth assay that combines high throughput with high resolution involves the generation of growth curves from 96-well plate microcultivations in thermostated and shaking plate readers. To push the throughput of this method to the next level, we have adapted it in this study to the use of 384-well plates. The values of the extracted growth parameters (lag time, doubling time and yield of biomass) correlated well between experiments carried out in 384-well plates as compared to 96-well plates or batch cultures, validating the higher-throughput approach for phenotypic screens. The method is not restricted to the use of the budding yeast Saccharomyces cerevisiae, as shown by consistent results for other species selected from the Hemiascomycete class. Furthermore, we used the 384-well plate microcultivations to develop and validate a higher-throughput assay for yeast Chronological Life Span (CLS), a parameter that is still commonly determined by a cumbersome method based on counting "Colony Forming Units". To accelerate analysis of the large datasets generated by the described growth and aging assays, we developed the freely available software tools GATHODE and CATHODE. These tools allow for semi-automatic determination of growth parameters and CLS behavior from typical plate reader output files. The described protocols and programs will increase the time- and cost-efficiency of a number of yeast-based systems genetics experiments as well as various types of screens.
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