Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays |
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Authors: | Najaf A Shah Richard J Laws Bradley Wardman Lue Ping Zhao John L Hartman IV |
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Affiliation: | (1) Department of Computer and Information Sciences, University of Alabama at Birmingham, Alabama, 35294, USA;(2) Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA;(3) Department of Genetics, University of Alabama School of Medicine, Birmingham, Alabama 35294, USA |
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Abstract: | ![]()
Background Genome-wide mutant strain collections have increased demand for high throughput cellular phenotyping (HTCP). For example, investigators use HTCP to investigate interactions between gene deletion mutations and additional chemical or genetic perturbations by assessing differences in cell proliferation among the collection of 5000 S. cerevisiae gene deletion strains. Such studies have thus far been predominantly qualitative, using agar cell arrays to subjectively score growth differences. Quantitative systems level analysis of gene interactions would be enabled by more precise HTCP methods, such as kinetic analysis of cell proliferation in liquid culture by optical density. However, requirements for processing liquid cultures make them relatively cumbersome and low throughput compared to agar. To improve HTCP performance and advance capabilities for quantifying interactions, YeastXtract software was developed for automated analysis of cell array images. |
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