ArticleMethods in molecular biology (Clifton, N.J.)2014
Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.
Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Yeast Phenomic Analysis Reveals DNA Repair, pH Homeostasis, and Ribosomal Biogenesis as Modulators of Anticancer Ruthenium Complex KP1019.International journal of molecular sciences · 2026Article
- High-resolution yeast quiescence profiling in human-like media reveals complex influences of auxotrophy and nutrient availability.GeroScience · 2021Article
- Article
- A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin.Cancer & metabolism · 2019Article
- Gene-nutrient interaction markedly influences yeast chronological lifespan.Experimental gerontology · 2016Article
- Long-range coupling between the extracellular gates and the intracellular ATP binding domains of multidrug resistance protein pumps and cystic fibrosis transmembrane conductance regulator channels.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2016Article
- Yeast Phenomics: An Experimental Approach for Modeling Gene Interaction Networks that Buffer Disease.Genes · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Quantitative high-throughput cell array phenotyping (Q-HTCP) is applied to the genomic collection of yeast gene deletion mutants for systematic, comprehensive assessment of the contribution of genes and gene combinations to any phenotype of interest (phenomic analysis). Interacting gene networks influence every phenotype. Genetic buffering refers to how gene interaction networks stabilize or destabilize a phenotype. Like genomics, phenomics varies in its resolution with there being a trade-off allocating a greater number of measurements per sample to enhance quantification of the phenotype vs. increasing the number of different samples by obtaining fewer measurements per sample. The Q-HTCP protocol we describe assesses 50,000-70,000 cultures per experiment by obtaining kinetic growth curves from time series imaging of agar cell arrays. This approach was developed for the yeast gene deletion strains, but it could be applied as well to other microbial mutant arrays grown on solid agar media. The methods we describe are for creation and maintenance of frozen stocks, liquid source array preparation, agar destination plate printing, image scanning, image analysis, curve fitting, and evaluation of gene interaction.
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