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High-throughput Screening for Protein-based Inheritance in S. cerevisiae.

Authors :
Byers JS
Jarosz DF
Source :
Journal of visualized experiments : JoVE [J Vis Exp] 2017 Aug 08 (126). Date of Electronic Publication: 2017 Aug 08.
Publication Year :
2017

Abstract

The encoding of biological information that is accessible to future generations is generally achieved via changes to the DNA sequence. Long-lived inheritance encoded in protein conformation (rather than sequence) has long been viewed as paradigm-shifting but rare. The best characterized examples of such epigenetic elements are prions, which possess a self-assembling behavior that can drive the heritable manifestation of new phenotypes. Many archetypal prions display a striking N/Q-rich sequence bias and assemble into an amyloid fold. These unusual features have informed most screening efforts to identify new prion proteins. However, at least three known prions (including the founding prion, PrP <superscript>Sc</superscript> ) do not harbor these biochemical characteristics. We therefore developed an alternative method to probe the scope of protein-based inheritance based on a property of mass action: the transient overexpression of prion proteins increases the frequency at which they acquire a self-templating conformation. This paper describes a method for analyzing the capacity of the yeast ORFeome to elicit protein-based inheritance. Using this strategy, we previously found that >1% of yeast proteins could fuel the emergence of biological traits that were long-lived, stable, and arose more frequently than genetic mutation. This approach can be employed in high throughput across entire ORFeomes or as a targeted screening paradigm for specific genetic networks or environmental stimuli. Just as forward genetic screens define numerous developmental and signaling pathways, these techniques provide a methodology to investigate the influence of protein-based inheritance in biological processes.

Details

Language :
English
ISSN :
1940-087X
Issue :
126
Database :
MEDLINE
Journal :
Journal of visualized experiments : JoVE
Publication Type :
Academic Journal
Accession number :
28809826
Full Text :
https://doi.org/10.3791/56069