Yeast Toxicity Screen
Yeast Toxicity Screen - Related Videos
09:06
Growth Assays to Assess Polyglutamine Toxicity in Yeast
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Cited by 3 •
2012
This manuscript describes three complementary protocols for assessing the toxicity of polyglutamine (polyQ)-expansion proteins in the yeast Saccharomyces cerevisiae. These protocols can easily be modified to monitor the toxicity of other misfolded proteins in yeast.
08:57
High-throughput Yeast Plasmid Overexpression Screen
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Cited by 12 •
2011
Here we describe a plasmid overexpression screen in Saccharomyces cerevisiae, using an arrayed plasmid library and a high-throughput yeast transformation protocol with a liquid handling robot.
08:24
A Method to Study α-Synuclein Toxicity and Aggregation Using a Humanized Yeast Model
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Cited by 1 •
2022
An in vivo physiological model of α-synuclein is required to study and understand the pathogenesis of Parkinson's disease. We describe a method to monitor the cytotoxicity and aggregate formation of α-synuclein using a humanized yeast model.
11:59
Competitive Genomic Screens of Barcoded Yeast Libraries
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Cited by 44 •
2011
We have developed comprehensive, unbiased genome-wide screens to understand gene-drug and gene-environment interactions. Methods for screening these mutant collections are presented.
05:57
Fission Yeast as a Platform for Antibacterial Drug Screens Targeting Bacterial Cytoskeleton Proteins
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2024
Fission yeast is used here as a heterologous host to express bacterial cytoskeletal proteins such as FtsZ and MreB as translational fusion proteins with GFP to visualize their polymerization. Also, compounds that affect polymerization are identified by imaging using a fluorescence microscope.
FAQs
The key genetic signal comes from comparing how different yeast strains respond to the same test factor. A mutant background that grows better suggests increased resistance, whereas one that grows poorly suggests increased sensitivity. These contrasting phenotypes can help connect particular genes with harmful activity, cellular stress responses, or protection against the tested factor.
Untreated cells and control strains establish the growth reference needed to interpret the assay. Comparing treated and control conditions helps determine whether reduced growth is associated with the introduced gene product, chemical, or other factor rather than simply reflecting differences between strains or experimental conditions. This comparison makes the resulting toxicity conclusion more reliable.
Screening a mutant library can reveal genetic differences that alter yeast sensitivity or resistance. Mutants with distinct growth responses identify genes that may influence the factor's harmful activity or the cell's ability to withstand it. Such patterns provide a route to studying gene function, cellular stress responses, protein interactions, and possible therapeutic targets.
A basic workflow applies or introduces the test factor under controlled conditions, measures yeast growth or survival, and compares the result with appropriate untreated cells or control strains. The same comparison can then be extended across mutant libraries or altered genetic backgrounds. Consistent growth reduction supports harmful activity, while improved growth indicates relative resistance.
The essential inputs are yeast cells, the factor being tested, and suitable comparison groups. Depending on the question, researchers may include an untreated condition, control strains, mutant libraries, or other altered genetic backgrounds. These components allow the assay to distinguish the factor's effect from differences caused by the yeast genotype or experimental setting.
This approach is useful when researchers want an accessible genetic test of how a gene product or other factor affects cell growth and survival. It can support investigations of gene function, stress responses, and protein interactions, while also helping identify potential therapeutic targets. Findings from yeast can guide decisions about whether to pursue more complex biological models.