Mutational Scanning of α-Synuclein using a Clickable Protein Tag Reveals Determinants of Membrane-Induced Aggregation
Daeun Noh1, Robert W Newberry1
1Department of Chemistry The University of Texas at Austin, 105 E 24 St. Austin, TX, 78712, USA.
Researchers developed a new method using clickable protein tags to study protein aggregation in living cells. This technique revealed that alpha-synuclein aggregation in yeast is driven by membrane interactions, differing from in vitro findings.
Area of Science:
- Biochemistry
- Cell Biology
- Molecular Biology
Background:
- Cellular environment influences protein conformation and aggregation, which are linked to diseases.
- Studying protein aggregates in living cells at high resolution is challenging.
- Systematic mutagenesis requires robust methods for detecting protein aggregation in numerous variants.
Purpose of the Study:
- To develop a high-throughput method for detecting protein aggregation in living cells.
- To investigate the nature of alpha-synuclein cellular inclusions in a yeast model.
- To identify molecular determinants of membrane-induced protein aggregation.
Main Methods:
- Utilized clickable protein tags to create Förster Resonance Energy Transfer (FRET) pairs in situ.
- Applied high-throughput screening in living yeast cells.
- Performed systematic mutagenesis of alpha-synuclein.
Main Results:
- Demonstrated that cellular alpha-synuclein aggregates in yeast are primarily influenced by protein-membrane interactions.
- Observed that the aggregation pathway in yeast cells differs significantly from in vitro conditions.
- Identified specific residues controlling membrane affinity as key factors in aggregation.
- Discovered glycine residues in the central region act as gatekeepers against membrane-induced aggregation.
Conclusions:
- Clickable protein tags enable high-resolution insights into cellular protein aggregates.
- Protein-membrane interactions are critical in cellular alpha-synuclein aggregation.
- Mutational scanning provides a powerful tool for understanding disease-related protein aggregation mechanisms.
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