Mapping the Domain Structure and Aggregation Propensity of Proteins Using a Gateway Plasmid Vector System

Area of Science:

• Structural biology
• Molecular biology
• Biochemistry

Background:

• Many proteins lack detectable homology, hindering domain prediction.
• These challenging proteins often contain coiled-coil or intrinsically unstructured regions.
• Protein aggregation is implicated in various human diseases.

Purpose of the Study:

• To develop a reliable workflow for identifying domains in proteins lacking homology.
• To map the specific subdomains responsible for pathological protein aggregation.
• To facilitate the study of disease-associated proteins.

Main Methods:

• Cloning and expression of multiple alternative protein fragments in E. coli.
• Size exclusion chromatography to assess solubility and folding of recombinant peptides.
• Gateway recombination for rapid transfer of fragments to mammalian expression vectors.

Main Results:

• Demonstration of a workflow for domain identification in difficult-to-study proteins.
• Successful mapping of basic domain structures and aggregation-responsible subdomains.
• Validation of the method for proteins involved in pathological aggregation.

Conclusions:

• The presented workflow offers a robust approach for characterizing protein domains, particularly for aggregation-prone proteins.
• This method aids in understanding the molecular basis of diseases linked to protein misfolding and aggregation.
• The workflow facilitates further research into therapeutic strategies targeting protein aggregation.