Composition-based prediction and rational manipulation of prion-like domain recruitment to stress granules.

ABSTRACT: Mutations in a number of stress granule-associated proteins have been linked to various neurodegenerative diseases. Several of these mutations are found in aggregation-prone prion-like domains (PrLDs) within these proteins. In this work, we examine the sequence features governing PrLD localization to stress granules upon stress. We demonstrate that many yeast PrLDs are sufficient for stress-induced assembly into microscopically visible foci that colocalize with stress granule markers. Additionally, compositional biases exist among PrLDs that assemble upon stress, and these biases are consistent across different stressors. Using these biases, we have developed a composition-based prediction method that accurately predicts PrLD assembly into foci upon heat shock. We show that compositional c

SUBMITTER: Boncella AE 

PROVIDER: S-EPMC7084078 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature