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High-throughput Screening for Protein-based Inheritance in S. cerevisiae
Published on: August 8, 2017
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Yeast prions and human prion-like proteins: sequence features and prediction methods
Sean M Cascarina1, Eric D Ross
1Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Cellular and Molecular Life Sciences : CMLS
|January 7, 2014
Summary
Yeast prions, which are infectious protein aggregates, offer insights into human diseases like ALS. Understanding prion-like domains in humans may reveal disease mechanisms and therapeutic targets.
Area of Science:
- Biochemistry
- Molecular Biology
- Neuroscience
Background:
- Prions are infectious protein isoforms that misfold into insoluble amyloid structures.
- Yeast prions serve as a model system for studying protein aggregation and its consequences.
- Human proteins with prion-like domains are increasingly implicated in neurodegenerative diseases.
Purpose of the Study:
- To review the amino acid sequence basis of prion aggregation in yeast.
- To discuss methods for predicting protein aggregation propensity.
- To explore the application of yeast prion knowledge to human diseases.
Main Methods:
- Analysis of amino acid sequences driving yeast prion formation.
- Development and application of computational methods for predicting aggregation propensity.
- Comparative analysis of yeast prion domains and human prion-like domains.
Main Results:
- Specific amino acid sequence features in yeast proteins promote prion aggregation.
- Predictive models based on yeast data can identify aggregation-prone regions.
- Prion-like domains in human proteins share characteristics with yeast prion domains.
Conclusions:
- Lessons from yeast prions are valuable for understanding human proteinopathies.
- Predictive tools developed from yeast models show potential for human disease research.
- Challenges remain in applying yeast-based prediction models to complex human systems.
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